Proteomic Methods For The Identification And Use Of Putative Biomarkers Associated With The Dysplastic State In Cervical Cells Or Other Cell Types

Information

  • Patent Application
  • 20090221430
  • Publication Number
    20090221430
  • Date Filed
    March 12, 2007
    17 years ago
  • Date Published
    September 03, 2009
    15 years ago
Abstract
The invention relates to methods for detecting and identifying potential biomarkers of high-grade cervical dysplasia in an individual human subject. The invention also relates to newly discovered biomarkers, as set forth in Tables 1-4 herein, which are associated with the dysplastic state of cervical cells. It has been discovered that a differential level of expression of any of these markers or combination of these markers correlates with a dysplastic condition in a human subject, e.g., a patient.
Description
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

N/A


BACKGROUND OF THE INVENTION

Carcinoma of the uterine cervix is the second most common neoplasm among women worldwide, and fifth leading cause of all cancer related deaths (Baldwin et al., 2003). Recent estimates indicate that approximately 500,000 new cases of cervical cancer are diagnosed annually (Munoz et al., 1989; NIH Statement, 1996). Cervical carcinoma develops slowly over a time period of several years through well-defined non-invasive stages. Preneoplastic lesions, classified as cervical intraepithelial neoplasia (CIN), are defined according to the degree of cellular abnormality and have the potential to progress to carcinoma in situ or invasive carcinoma. While only a small fraction of all dysplastic lesions would progress to invasive cervical cancer if left untreated, the overall risk escalates with increased grade of lesion (Melnikow et al., 1998).


It has been well established that early detection of these morphological changes significantly increases the chances for successful treatment. Since its introduction in the 1940's, the conventional Pap test has dramatically decreased the incidence and mortality rates associated with cervical cancer by identifying and classifying cellular changes associated with the progression to cancer. The abnormal morphological changes that precede squamous cell carcinoma have been classified according to numerous systems, including the commonly used 2001 Bethesda System (Tabbara et al., 1992), among others. Under the Bethesda System, the abnormal morphological changes include Atypical Squamous Cells of Undetermined Significance (ASC-US), Atypical Squamous Cells—Cannot Exclude High-Grade (ASC-H), Low-Grade Squamous Intraepithelial Lesions (LSIL) and High-Grade Squamous Intraepithelial Lesions (HSIL). The concept of cervical intraepithelial neoplasia, or CIN, was introduced in 1967 to embrace all grades of dysplasia and carcinoma in situ under a single disease heading. The diagnosis of CIN is based on histological sections and graded as I, II and III. These and other generally accepted classification schemes are more fully described in Chan et al., The Papanicolaou Test—Its Current Status (1990) Hong Kong Practitioner, 12, 1198-1203, which is incorporated by reference herein. More recent liquid-based cytology (LBC) preparations, such as the ThinPrep® Pap Test (Cytyc Corporation), have proven useful in reducing the number of inadequate Pap tests and the incidence of false negative diagnoses by enabling the improved homogeneous transfer of cells from the cervix to the slide (Roberts et al., 1997). The use of computer imaging to locate potential abnormal cells has also improved the detection of preneoplastic lesions of the cervix. Since the introduction of LBC methodology, the American Cancer Society estimates that the rate of invasive cervical cancer in the US has declined by 28%. The success of the Pap test, however, ultimately relies upon the ability of the technician to accurately identify and evaluate those characteristic cellular changes.


Therefore, despite recent improvements in sample collection, processing and image-directed slide review, a number of studies have reported low substantial inter-observer variability and Pap test discordance with histological follow-up, particularly within the ASCUS and LSIL diagnostic categories (Howell et al., 2004; Joste et al., 2005). Importantly, low sensitivity and poor reproducibility within these cytological categories have complicated the management of this subset of patients. Because a diagnosis that is made based upon the cytology sample establishes the basis for further treatment, an inaccurate diagnosis may lead to over-treatment of a healthy woman (i.e., colposcopy and biopsy) or under-treatment of a woman having a cervical lesion. False negative and positive results are therefore costly in terms of time and expense, and can generate significant anxiety in affected women. Improvements in diagnostic accuracy would therefore benefit patients and reduce related health system costs.


The subjectivity of cervical cytology may be reduced by integrating the use of objective markers to help determine the presence and severity of dysplastic cells. For example, high-risk human papillomavirus (HPV) has been shown to be present in 99% of all cervical cancers (Syrjanen et al., 1987), and the concept that persistent viral infection is required for progression to cervical neoplasia is well accepted (Cuschieri et al., 2005). However, while HPV DNA testing can provide an objective measurement, high-risk HPV testing cannot accurately discriminate between patients whose squamous intraepithelial lesions will persist or progress to invasive carcinoma and those whose lesions will regress spontaneously. It was reported in the ASCUS-LSIL Triage Study that 83% of women having an LSIL Pap result tested positive for high-risk HPV (ASCUS-LSIL Triage Study (ALTS) Group, 2003), a level too high to provide clinical utility in a patient triage strategy. Although a triage strategy that incorporates HPV detection within the ASCUS population has proven to be more sensitive for detecting underlying high-grade disease, decreased specificity was a primary concern (Shiffman et al., 2003). HPV screening is currently most appropriate in the triage of borderline or ASCUS cytology cases and in conjunction with Pap testing for women 30 years or older. In other words, in this age group, benefits of HPV testing independent of cytology classification have been observed.


The human papillomavirus contributes to neoplastic progression predominantly through the action of two viral oncoproteins, E6 and E7, which interact with various host regulatory proteins to influence the function or expression levels of host gene products, eventually leading to the disruption of the cell cycle (Shai et al., 2007). It has been previously demonstrated that the E6 oncoprotein interacts with the p53 tumor suppressor protein (Crook et al., 1991), while E7 binds to the retinoblastoma protein, pRb. p16INK4a is a cyclin-dependent kinase inhibitor that negatively regulates cell proliferation by inhibiting hyperphosphorylation of pRb via the cdk4/6 complex. Overexpression of the p16INK4a protein has been well documented in cervical cancer and is a consequence of pRb targeted inactivation from E7. While it has been proposed that p16INK4a is a useful biomarker for the identification of dysplastic cervical epithelial cells, its specificity has been questioned and other surrogate markers may exist that also have clinical utility due to their ability to quantify cellular changes that are indicative of active HPV oncogene expression rather than viral presence only. The differential expression of specific cellular proteins might therefore prove useful in identifying those clinically important cases of HPV infection that have a more significant risk of progression towards cervical carcinoma.


BRIEF SUMMARY OF THE INVENTION

While molecular tests for the detection of HPV are very sensitive, the specificity of HPV testing is not currently high enough to perform well in a primary screening setting and is therefore most useful in the triage of ASCUS cytology cases. Incorporation of cellular biomarkers indicative of cervical cancer progression to and through the dysplastic state may help improve sensitivity, specificity, standardization and ultimately the quality of diagnosis. More recently, a variety of molecular approaches have been utilized to identify potential markers of cervical cancer. However, in all cases, cultured mammalian cell lines or cervical cancer tissue was utilized for discovery research purposes. Furthermore, the majority of these research efforts evaluated changes in gene expression, which may or may not directly translate to the protein level. Thus, significant opportunities exist for the identification of cervical markers specifically for the dysplastic state and their utilization in the development of convenient to use, robust and predictive tests having improved diagnostic value.


Laser Capture Microdissection (LCM) is a powerful tool that enables the isolation of specific cell types from a heterogeneous population. While this technology has routinely been used with tissue, few studies have applied this methodology to investigate cytological specimens in conjunction with protein analysis. LCM was utilized to select approximately 10,000 high-grade (HSIL) dysplastic cells per specimen from ThinPrep Pap Test prepared slides. Following cell capture, samples were processed and analyzed using a highly sensitive linear ion trap with Fourier transform mass spectrometer (LTQ-FTMS). Multiple individual specimens having a clinical diagnosis of either Within Normal Limits (WNL) or HSIL were evaluated and compared in order to identify proteins that exhibited differential changes in expression, either upregulated and down-regulated.


Described herein are the specimen processing and proteomic methods of the invention, which are used to detect and identify potential biomarkers for cervical dysplasia, and the potential biomarkers for cervical dysplasia identified thereby. These same specimen processing and proteomic analysis methods can also be used to enrich any type of clinical sample, preferably an easily accessible clinical sample, for putative dysplastic cells and to analyze the enriched population for novel biomarkers. Information obtained from this type of analysis would be most useful in identifying protein expression profiles or protein signatures that become apparent in dysplastic conditions, before the cells are committed to the cancerous state. A significant aspect of this invention therefore relates to the proteomic characterization of high-grade dysplastic cells. The differential expression of proteins in high-grade dysplastic cells versus morphologically normal cells (of cervical or other tissue) can lead to the potential identification of novel biomarkers most useful in the detection, diagnosis and stratification of the dysplastic condition.


Thus, in general, the invention provides a method for the identification of biomarkers for the classification of cells in a manner that can complement or replace any cytological or histological analysis. An exemplary method of identifying a potential cervical dysplasia biomarker for the classification of cells in conjunction with a cytological or histological analysis includes the steps of: a) providing a cervical sample from a patient; b) carrying out the cytological or histological analysis on a specimen from the cervical sample; c) marking high-grade dysplastic cells generically identified by the cytological or histological analysis (e.g., Pap Test stained cells); d) carrying out laser capture microdissection (LCM) of the marked cells; e) lysing the captured cells; f) separating the proteins in the lysed cell preparation (e.g., by SDS-PAGE) and digesting the separated proteins (e.g., with trypsin); g) analyzing the digested samples (e.g., by LTQ/FT LC/MS/MS); h) determining a profile of protein abundance in each of the digested samples of marked cells; i) comparing the protein abundance profiles of said high risk patients with similarly determined protein abundance profiles of healthy individuals; and j) identifying any proteins that are present in the abundance profiles of said high risk patients but not in, or at a reduced level in, the abundance profiles of said healthy individuals, wherein any protein so identified is said potential cervical dysplasia biomarker. In a preferred embodiment, the patient from whom the cervical sample is obtained is suspected of being at high risk of developing a cervical cancer.


Furthermore, provided herein, in Tables 1-4, are panels of proteins identified in samples from individual women at risk of developing cervical cancer, wherein the samples have previously been enriched for cells in a dysplastic state. The proteins in these panels, either individually or as relative ratios, are potential biomarkers for the identification of a dysplasia in cervical tissue. Preferentially, the relative ratios of a combination or combinations of biomarkers are utilized for improved diagnostic performance. The methods of the invention also would be useful to detect and to identify potential biomarkers for any dysplastic condition in similarly enriched cell samples.


Using the methods of the invention, potential biomarker proteins for a predisposition to high-grade cervical dysplasia have been characterized in individual subjects. Use of proteins identified according to the principles of the invention as biomarkers for the classification of cervical dysplasia is within the invention. In addition, the invention provides a sensitive method for early detection of dysplasia and for monitoring of the related potentially cancerous state.


Thus, in one aspect, the invention is directed to a method for assessing the presence of a cervical dysplastic lesion in a human subject, the method including comparing the level of abundance, in a sample from the subject, of at least one marker of the invention selected from the group consisting of the markers listed in Tables 1-4; and the normal level of abundance of the at least one marker in a control sample, wherein a significantly higher level of abundance of the at least one marker in the sample from the subject compared to the level of abundance of the at least one marker in the control sample is an indication of the presence of a cervical dysplastic lesion in the subject.


Preferably, the level of abundance of the at least one marker in the sample from the subject is three or more times the abundance level of the at least one marker in the control sample. The level of abundance of the at least one marker can be determined by detecting the amount of marker protein present in the sample, for example by using an assay selected from the group consisting of an antibody based assay, a protein array assay and a mass spectrometry based assay. Alternatively, the level of abundance of the at least one marker can be determined by detecting the amount of mRNA that encodes a marker protein present in the sample. The control sample level of abundance of the at least one marker can be determined from a standard table or curve. In particularly preferred embodiments, a plurality of markers (e.g., three or more or five or more) is detected.


The invention additionally provides a test method for assessing the cervical carcinogenic potential of a compound. This method comprises the steps of: obtaining a sample comprising dysplastic cervical cells; maintaining separate aliquots of the dysplastic cells in the presence and absence of a compound to be tested; and comparing the expressed abundance of a marker of the invention in each of the aliquots. A significantly higher level of expression or abundance of a marker according to the invention in the aliquot maintained in the presence of the compound, relative to that of the aliquot maintained in the absence of the compound, is an indication that the compound possesses cervical carcinogenic potential.


In addition, the invention further provides methods for assessing the potential of a test composition as an inhibitor of the dysplastic state, e.g., in cervical cells, in a patient. These methods comprise the steps of: obtaining a sample comprising dysplastic cervical cells; separately maintaining aliquots of the sample in the presence and absence of a test composition; comparing the abundance of a marker of the invention in each of the aliquots; and identifying a composition as an inhibitor of the dysplastic, e.g., cervical dysplastic, state where the composition significantly lowers the level of expression of a marker of the invention in the aliquot containing the composition relative to the levels of expression of the marker in the presence of the other compositions. Compositions so identified can be administered appropriately to a patient having dysplasia for treating or for inhibiting the further development of the dysplasia.


Markers according to the invention may likewise be used to assess the efficacy of a therapy for inhibiting cervical dysplasia in a patient. In this method, the level of expression of one or more markers of the invention in a pair of samples (one subjected to the therapy, the other not subjected to the therapy) is assessed. As with the method of assessing the potential of test compounds, if the therapy induces a significantly lower level of expression of a marker of the invention, then the therapy can be considered potentially efficacious for inhibiting cervical dysplasia. As above, if samples from a selected patient are used in this method, then alternative therapies can be assessed in vitro in order to select a therapy most likely to be efficacious for inhibiting cervical dysplasia in the patient. Furthermore, the methods of the invention may be used to evaluate a patient before, during and after therapy, for example, to evaluate the reduction in tumor burden.


In another aspect, the invention relates to various diagnostic and test kits for detecting the presence of a marker protein in a subject sample (e.g., a cervical sample). In one embodiment, the invention provides a kit for assessing whether a human subject is afflicted with a cervical dysplasia. The kit comprises one or more reagents for assessing expression of at least one marker of the invention. For antibody-based kits, for example, a kit comprises, e.g., (1) a first antibody (e.g., attached to a solid support) that binds to a marker protein; and, optionally, (2) a second, different antibody that binds to either the protein or the first antibody and is conjugated to a detectable label. In another embodiment, the invention provides a kit for assessing the suitability of a chemical or biologic agent for inhibiting the progression of cells in the dysplastic state to the cancerous state in a patient. Such a kit comprises reagents for assessing expression of at least one marker of the invention and may also comprise one or more of such agents. In a further embodiment, the invention provides kits for assessing the presence of dysplastic cells. Such kits may comprise an antibody, an antibody derivative, or an antibody fragment that binds specifically with a marker protein, or a fragment of the protein. Such kits may also comprise a plurality of antibodies, antibody derivatives, or antibody fragments wherein the plurality of such antibody agents binds specifically with a marker protein, or a fragment of the protein.


Other features and advantages of the invention will be apparent from the following description of the preferred embodiments thereof and from the claims.







DETAILED DESCRIPTION OF THE INVENTION

The invention relates to methods for detecting and identifying potential biomarkers of high-grade cervical dysplasia in an individual human subject. The invention also relates to newly discovered biomarkers, as set forth in Tables 1-4, which are associated with the dysplastic state of cervical cells. It has been discovered that a differential level of expression of any of these markers or combination of these markers correlates with a dysplastic condition in a human subject, e.g., a patient.


As used herein, each of the following terms has the meaning associated with it in this section.


A “marker” is a protein, or associated gene or other nucleic acid, whose altered level of expression (or abundance) in a tissue or cell from its expression level in normal or healthy tissue or cell is associated with a disease state, such as cancer.


“Proteins of the invention” encompass marker proteins and their fragments; variant marker proteins and their fragments (including those with side chain modifications); peptides and polypeptides comprising an at least 15 amino acid segment of a marker or variant marker protein; and fusion proteins comprising a marker or variant marker protein, or an at least 15 amino acid segment of a marker or variant marker protein.


The term “probe” refers to any molecule that is capable of selectively binding to a specifically intended target molecule, for example, a nucleotide transcript or marker protein. Probes can be either synthesized by one skilled in the art or derived from appropriate biological preparations. For purposes of detection of the target molecule, probes may be specifically designed to be labeled, as described herein. Examples of molecules that can be utilized as probes include, but are not limited to, RNA, DNA, proteins, antibodies, and organic molecules.


A “cervical sample” or “patient cervical sample” comprises cervical cells and/or cervical-associated body fluid obtained from a human subject, e.g., a patient.


A “cervical-associated” body fluid is a fluid that, when in the body of a subject, contacts or passes through cervical cells or into which cervical cells or proteins shed from cervical cells are capable of passing. The cells may be found in a cervical smear collected, for example, by a cervical brush. Exemplary cervical-associated body fluids include blood fluids, lymph, ascitic fluids, gynecological fluids, cystic fluid, urine, and fluids collected by vaginal rinsing.


The “normal” level of expression (or WNL level) of a marker is the level of expression or abundance of the marker in a cervical sample of a subject not afflicted with a cervical dysplasia.


An “over-expression” or “significantly higher level of expression” of a marker refers to an abundance or expression level in a test sample that is greater than the standard error of the assay employed to assess expression, and is preferably at least three, and more preferably four, five or ten times the expression level of the marker in a control sample (e.g., sample from a healthy subjects not having the marker-associated condition) and preferably, the average expression level of the marker in several control samples.


A “significantly lower level of expression” of a marker refers to an abundance or expression level in a test sample that is at least three, and more preferably four, five or ten times lower than the expression level of the marker in a control sample (e.g., sample from a healthy subjects not having the marker-associated condition) and preferably, the average expression level of the marker in several control samples.


A “kit” is any manufacture (e.g., a package or container) comprising at least one reagent, e.g., a probe, for specifically detecting the abundance or expression of a marker of the invention. The kit may be promoted, distributed, or sold as a unit for performing the methods of the present invention.


Unless otherwise specified herein, the terms “antibody” and “antibodies” broadly encompass naturally-occurring forms of antibodies (e.g., IgG, IgA, IgM, IgE) and recombinant antibodies such as single-chain antibodies, chimeric and humanized antibodies and multi-specific antibodies, as well as fragments and derivatives of all of the foregoing, which fragments and derivatives have at least an antigenic binding site. Antibody derivatives may comprise a protein or chemical moiety conjugated to an antibody.


The term “labeled”, with regard to the probe or antibody, is intended to encompass direct labeling of the probe or antibody by coupling (i.e., physically linking) a detectable substance to the probe or antibody, as well as indirect labeling of the probe or antibody by reactivity with another reagent that is directly labeled. Examples of indirect labeling include detection of a primary antibody using a fluorescently labeled secondary antibody and end-labeling of a DNA probe with biotin such that it can be detected with fluorescently labeled streptavidin. It will be appreciated that the methods and kits of the present invention may also include known cervical dysplasia markers or other materials known to bind to proteins such as small molecules, substrate mimetics, other non-antibody binding proteins, RNA or DNA aptamers, etc.


The present invention is based, in part, on newly identified biomarkers, which are differentially expressed in dysplastic cervical cells as compared to their expression in normal or healthy cervical cells. The enhanced or reduced expression of one or more of these markers in cervical cells is herein correlated with the dysplastic state of the tissue. The invention provides compositions, kits and methods for assessing the dysplastic state of cells (e.g., cells obtained from a human, cultured human cells, archived or preserved human cells and in vivo cells) as well as for treating patients afflicted with the dysplastic state.


The invention thus includes a method of assessing the dysplastic state of cervical cells in a human subject. This method comprises comparing the level of expression of one or more markers of the invention (listed in Tables 1-4) in a cervical sample from a subject (i.e., cervical cells and/or cervical-associated body fluid) and the normal level of expression of the one or more markers in a control, e.g., a human subject not afflicted with cervical dysplasia. For, example, a significantly higher level of expression, or abundance, of the marker in the patient sample as compared to the normal level of expression is an indication that the subject has a dysplastic condition. It is also within the invention to use a combination of the identified biomarkers and to assess the differential expression of these markers as a change in their relative ratios.


Furthermore, the invention encompasses in general an approach to targeted clinical proteomics wherein a potentially cancerous lesion from a patient is sampled and then the sample is enriched for a specific dysplastic cell type. In this way, one can correlate morphological changes in the tissue with biomarkers and establish the relationship of the biomarker to the stage of disease. For example, one can identify a biomarker in a cell type associated with a specific staging of the disease and then carry out imaging of the cell type with an antibody to that protein. In this manner, the antibody can be used as a backup to the cytology procedures and to reduce error rates. Also such an antibody can be used for imaging studies of the distribution of cancerous or precancerous cells as the disease progresses.


Although an immunocytochemistry based assay is described herein, the methods according to the invention also encompass using any other method known to or later developed by those of ordinary skill in the art within a cellular and/or morphological context. For example, the use of immunohistochemistry, flow cytometry, etc., as well as soluble formats (e.g., ELISA) are encompassed herein.


In addition to cervical disease, the methods of the invention have application for other diseases and carcinomas such as those of the breast, lung, colon, anus, stomach, nasal tissue, mouth, esophagus and skin. The expectation from theory and general practice is that all squamous/adeno (i.e., “skin”) derived cancers have a pre-invasive phase. The detection of this pre-invasive phase is dependent on the accessibility of the organ.


The colon has pre-cancerous polyps, the anus has pre-invasive skin changes, and similar esophageal changes are observed. Anal and colon lesions may be detected by direct vision via endoscope or colonoscopy, and esophageal lesions by endoscopy. Cells from these pre-cancerous lesions can be obtained via biopsy or washings.


The method of the invention can also be practiced employing a device in which a membrane based on the Pap smear is used to collect a layer of cells from the cancer tissue (in cervix, mouth, lung, nose, eye, kidney tubules, colon, etc., and the membrane is then transferred to an automated device, such as an LCM device, where the target cells are collected. The target cells can be identified, e.g., by a flourescently labelled antibody discovered in an earlier phase of the study. The sensitivity and specificity of such an assay can be increased by combining the Pap smear membrane aspect with LCM. In this manner, one can generate a total abnormal cell count as well as a histogram of the distribution of label.


The invention also includes an array comprising a marker of the present invention. The array can be used to assay abundance of, e.g., one or more proteins in the array. In one embodiment, the array can be used to assay protein abundance in an individual sample from a patient to ascertain the specificity of proteins in the array. In this manner, a large number of proteins can be simultaneously assayed for expression or abundance level. This allows a profile to be developed showing a battery of proteins specifically expressed in one or more sample sites.


In addition to such qualitative determination, the invention allows the quantitation of protein expression. Thus, not only sample site specificity, but also the level of abundance of a battery of proteins in individual samples is ascertainable. Thus, proteins can be grouped on the basis of their expression site per se and level of expression at that site.


In another embodiment, the array can be used to monitor the time course of expression of one or more proteins in the array. This can occur in various biological contexts, as disclosed herein, related to the development of cervical cancer.


Markers of the invention are selective for as an indication of the presence of a cervical dysplastic lesion. By “an indication of the presence of a cervical dysplastic lesion” it is intended that the marker of interest is overexpressed in high-grade cervical disease but is not overexpressed in conditions classified as WNL, ASCUS, LSIL, CINI, immature metaplastic cells, and other conditions that are not considered to be clinical disease. Thus, detection of the markers of the invention permits the differentiation of samples indicative of underlying high-grade cervical disease from samples that are indicative of benign proliferation, or mild dysplasia. As used herein, “mild dysplasia” refers to LSIL and CINI where no high-grade lesion is present. The methods of the invention also distinguish cells indicative of high-grade disease from normal cells, immature metaplastic cells, and other cells that are not indicative of clinical disease. In this manner, the methods of the invention permit the accurate identification of high-grade cervical disease, even in cases mistakenly classified as normal, CINI, LSIL, or ASCUS by traditional Pap testing (i.e., “false negatives”). In some embodiments, the methods for diagnosing high-grade cervical disease are performed as a reflexive response to an abnormal or atypical Pap smear. That is, the methods of the invention may be performed in response to a patient having an abnormal or atypical Pap smear result. In other aspects of the invention, the methods are performed as a primary screening test for high-grade cervical disease in the general population of women, just as the conventional Pap test is performed currently.


The markers of the invention include any gene or protein that is selectively over expressed in cervical disease, as defined herein above. Such markers are capable of identifying cells within a cytology cell suspension that are an indication of the presence of a cervical dysplastic lesion. The biomarkers of the invention detect cells of CINII conditions and above, but do not detect CINI where there is no underlying high-grade disease.


As discussed above, a significant percentage of patients presenting with Pap smears classified as WNL, CINI, or ASCUS actually have lesions characteristic of high-grade cervical disease. Thus, the methods of the present invention permit the identification of high-grade cervical disease in all patient populations, including these “false negative” patients, and facilitate the detection of rare abnormal cells in a patient sample. The diagnosis can be made independent of cell morphology and HPV infection status, although the methods of the invention can also be used in conjunction with conventional diagnostic techniques, e.g., Pap test, molecular testing for high-risk types of HPV, etc.


Assessing the presence of a cervical dysplastic lesion is intended to include, for example, diagnosing or detecting the presence of cervical disease, monitoring the progression of the disease, and identifying or detecting cells or samples that are indicative of high-grade cervical disease. The terms diagnosing, detecting, and identifying high-grade cervical disease are used interchangeably herein. By “high-grade cervical disease” is intended those conditions classified by colposcopy as premalignant pathology or moderate to severe dysplasia. Underlying high-grade cervical disease includes histological identification of CINII, CINIII and HSIL.


In particular embodiments, the diagnostic methods of the invention comprise collecting a cervical sample from a patient, contacting the sample with at least one antibody specific for a marker of interest, and detecting antibody binding. Samples that exhibit over expression of a marker of the invention, as determined by detection of antibody binding, are deemed positive for high-grade cervical disease. In particular embodiments, the body sample is a monolayer of cervical cells. In some aspects of the invention, the monolayer of cervical cells is provided on a glass slide.


By “body sample” is intended any sampling of cells, tissues, or bodily fluids in which expression of a biomarker can be detected. Examples of such body samples include but are not limited to blood, lymph, urine, gynecological fluids, biopsies, and smears. Body samples may be obtained from a patient by a variety of techniques including, for example, by scraping or swabbing an area or by using a needle to aspirate bodily fluids. Methods for collecting various body samples are well known in the art. In particular embodiments, the body sample comprises cervical fluid or cervical cells, as cervical tissue samples or as cervical cells in suspension, particularly in a liquid-based preparation. In one embodiment, cervical samples are collected according to liquid-based cytology specimen preparation guidelines such as, for example, the ThinPrep® System (Cytyc Corporation, Marlborough, Mass.). Body samples may be transferred to a glass slide for viewing under magnification. Fixative and staining solutions may be applied to the cells on the glass slide for preserving the specimen and for facilitating examination. In one embodiment the cervical sample will be collected and processed to provide a monolayer sample, as set forth in U.S. Pat. No. 5,143,627, herein incorporated by reference.


Any methods available in the art for identification or detection of the markers are encompassed herein. The over expression of a biomarker of the invention can be detected on a nucleic acid level or a protein level. In order to determine over expression, the body sample to be examined may be compared with a corresponding body sample that originates from a healthy person. That is, the “normal” level of expression is the level of expression of the biomarker in cervical cells of a human subject or patient not afflicted with high-grade cervical disease. Such a sample can be present in standardized form. In some embodiments, particularly when the body sample comprises a monolayer of cervical cells, determination of biomarker over expression requires no comparison between the body sample and a corresponding body sample that originates from a healthy person. In this situation, the monolayer of cervical cells from a single patient may contain as few as 1-2 abnormal cells per 50,000 normal cells present. Detection of these abnormal cells, identified by their over expression of a biomarker of the invention, precludes the need for comparison to a corresponding body sample that originates from a healthy person.


Methods for detecting markers of the invention comprise any methods that determine the quantity or the presence of the biomarkers either at the nucleic acid or protein level. Such methods are well known in the art and include but are not limited to western blots, northern blots, southern blots, ELISA, immunoprecipitation, immunofluorescence, flow cytometry, immunocytochemistry, nucleic acid hybridization techniques, nucleic acid reverse transcription methods, and nucleic acid amplification methods. In particular embodiments, over expression of a biomarker is detected on a protein level using, for example, antibodies that are directed against specific biomarker proteins. These antibodies can be used in various methods such as Western blot, ELISA, immunoprecipitation, or immunocytochemistry techniques. Likewise, immunostaining of cervical smears can be combined with conventional Pap stain methods so that morphological information and immunocytochemical information can be obtained. In this manner, the detection of the biomarkers can reduce the high false-negative rate of the Pap smear test and may facilitate mass automated screening.


In another aspect, the invention relates to various diagnostic and test kits. In one embodiment, the invention provides a kit for assessing whether a patient is afflicted with high grade cervical dysplasia. The kit comprises a reagent for assessing expression of a marker of the invention. In another embodiment, the invention provides a kit for assessing the suitability of a chemical or biologic agent for inhibiting cervical dysplasia in a patient. Such kits comprise a reagent for assessing expression of a marker of the invention, and may also comprise one or more of such agents. In a further embodiment, the invention provides kits for assessing the presence of cervical dysplastic cells or treating cervical dysplasia. Such kits comprise an antibody, an antibody derivative, or an antibody fragment that binds specifically with a marker protein, or a fragment of the protein. Such kits may also comprise a plurality of antibodies, antibody derivatives, or antibody fragments wherein the plurality of such antibody agents binds specifically with a marker protein, or a fragment of the protein.


In an alternative embodiment, the invention provides a kit for assessing the presence of high-grade cervical dysplastic cells wherein the kit comprises a nucleic acid probe that binds specifically with a marker nucleic acid or a fragment of the nucleic acid. The kit may also comprise a plurality of probes, wherein each of the probes binds specifically with a marker nucleic acid, or a fragment of the nucleic acid. Suitable reagents for binding with a marker nucleic acid (e.g., a genomic DNA, an mRNA, a spliced mRNA, a cDNA, or the like) include complementary nucleic acids. For example, the nucleic acid reagents may include oligonucleotides (labeled or non-labeled) fixed to a substrate, labeled oligonucleotides not bound with a substrate, pairs of PCR primers, molecular beacon probes, and the like.


For antibody-based kits, the kit can comprise, for example: (1) a first antibody (e.g., attached to a solid support) that binds to a marker protein; and, optionally, (2) a second, different antibody that binds to either the protein or the first antibody and is conjugated to a detectable label.


For oligonucleotide-based kits, the kit can comprise, for example: (1) an oligonucleotide, e.g., a detectably labeled oligonucleotide, which hybridizes to a nucleic acid sequence encoding a marker protein or (2) a pair of primers useful for amplifying a marker nucleic acid molecule. The kit can also comprise, e.g., a buffering agent, a preservative, or a protein stabilizing agent. The kit can further comprise components necessary for detecting the detectable label (e.g., an enzyme or a substrate). The kit can also contain a control sample or a series of control samples which can be assayed and compared to the test sample. Each component of the kit can be enclosed within an individual container and all of the various containers can be within a single package, along with instructions for interpreting the results of the assays performed using the kit.


It is recognized that certain marker proteins are secreted from cervical cells (i.e., one or both of normal and cancerous cells) to the extracellular space surrounding the cells. These markers are preferably used in certain embodiments of the compositions, kits, and methods of the invention, owing to the fact that such marker proteins can be detected in a cervical-associated body fluid sample, which may be more easily collected from a human patient than a tissue biopsy sample. In addition, preferred in vivo techniques for detection of a marker protein include introducing into a subject a labeled antibody directed against the protein. For example, the antibody can be labeled with a radioactive marker whose presence and location in a subject can be detected by standard imaging techniques. An exemplary technique is disclosed in U.S. Pat. No. 6,665,050, hereby incorporated by reference herein.


A preferred agent for detecting marker protein of the invention is an antibody capable of binding to such a protein or a fragment thereof, preferably an antibody with a detectable label. Antibodies can be polyclonal, or more preferably, monoclonal. An intact antibody, or a fragment or derivative thereof (e.g., Fab or F(ab′).sub.2) can be used. In a preferred embodiment, expression of a marker is assessed using a labeled antibody (e.g., a radio-labeled, chromophore-labeled, fluorophore-labeled, or enzyme-labeled antibody), an antibody derivative (e.g., an antibody conjugated with a substrate or with the protein or ligand of a protein-ligand pair such as biotin-streptavidin), or an antibody fragment (e.g., a single-chain antibody, an isolated antibody hypervariable domain, etc.) that binds specifically with a marker protein or fragment thereof, including a marker protein which has undergone all or a portion of its normal post-translational modification.


An exemplary method for detecting the presence or absence of a marker protein or nucleic acid in a biological sample involves obtaining a biological sample (e.g., a cervical-associated body fluid) from a test subject and contacting the biological sample with a compound or an agent capable of detecting the polypeptide or nucleic acid (e.g., mRNA, genomic DNA, or CDNA). The detection methods of the invention can thus be used to detect mRNA, protein, cDNA, or genomic DNA, for example, in a biological sample in vitro as well as in vivo. Exemplary in vitro techniques for detection of mRNA include Northern hybridizations and in situ hybridizations.


Exemplary in vitro techniques for detection of a marker protein include enzyme linked immunosorbent assays (ELISAs), Western blots, immunoprecipitations and immunofluorescence. Exemplary in vitro techniques for detection of genomic DNA include Southern hybridizations. Furthermore, in vivo techniques for detection of a marker protein include introducing into a subject a labeled antibody directed against the protein or fragment thereof. For example, the antibody can be labeled with a radioactive marker whose presence and location in a subject can be detected by standard imaging techniques.


A general principle of such diagnostic and prognostic assays involves preparing a sample or reaction mixture that may contain a marker, and a probe, under appropriate conditions and for a time sufficient to allow the marker and probe to interact and bind, thus forming a complex that can be removed and/or detected in the reaction mixture. These assays can be conducted in a variety of ways.


For example, one method to conduct such an assay would involve anchoring the marker or probe onto a solid phase support, also referred to as a substrate, and detecting target marker/probe complexes anchored on the solid phase at the end of the reaction. In one embodiment of such a method, a sample from a subject, which is to be assayed for presence and/or concentration of marker, can be anchored onto a carrier or solid phase support. In another embodiment, the reverse situation is possible, in which the probe can be anchored to a solid phase and a sample from a subject can be allowed to react as an unanchored component of the assay.


There are many established methods for anchoring assay components to a solid phase. These include, without limitation, marker or probe molecules which are immobilized through conjugation of biotin and streptavidin. Such biotinylated assay components can be prepared from biotin-NHS (N-hydroxy-succinimide) using techniques known in the art (e.g., biotinylation kit, Pierce Chemicals, Rockford, Ill.), and immobilized in the wells of streptavidin-coated 96 well plates (Pierce Chemicals). In certain embodiments, the surfaces with immobilized assay components can be prepared in advance and stored.


Other suitable carriers or solid phase supports for such assays include any material capable of binding the class of molecule to which the marker or probe belongs. Well-known supports or carriers include, but are not limited to, glass, polystyrene, nylon, polypropylene, nylon, polyethylene, dextran, amylases, natural and modified celluloses, polyacrylamides, gabbros, and magnetite.


In order to conduct assays with the above mentioned approaches, the non-immobilized component is added to the solid phase upon which the second component is anchored. After the reaction is complete, uncomplexed components may be removed (e.g., by washing) under conditions such that any complexes formed will remain immobilized upon the solid phase. The detection of marker/probe complexes anchored to the solid phase can be accomplished in a number of methods outlined herein. In a preferred embodiment, the probe, when it is the unanchored assay component, can be labeled for the purpose of detection and readout of the assay, either directly or indirectly, with detectable labels discussed herein and which are well-known to one skilled in the art.


It is also possible to directly detect marker/probe complex formation without further manipulation or labeling of either component (marker or probe), for example by utilizing the technique of fluorescence energy transfer (see, for example, Lakowicz et al., U.S. Pat. No. 5,631,169; Stavrianopoulos, et al., U.S. Pat. No. 4,868,103). A fluorophore label on the first, “donor” molecule is selected such that, upon excitation with incident light of appropriate wavelength, its emitted fluorescent energy will be absorbed by a fluorescent label on a second, “acceptor” molecule, which in turn is able to fluoresce due to the absorbed energy. Alternately, the “donor” protein molecule may simply utilize the natural fluorescent energy of tryptophan residues. Labels are chosen that emit different wavelengths of light, such that the “acceptor” molecule label may be differentiated from that of the “donor.” Since the efficiency of energy transfer between the labels is related to the distance separating the molecules, spatial relationships between the molecules can be assessed. In a situation in which binding occurs between the molecules, the fluorescent emission of the “acceptor” molecule label in the assay should be maximal. An FET binding event can be conveniently measured through standard fluorometric detection means well known in the art (e.g., using a fluorimeter).


In another embodiment, determination of the ability of a probe to recognize a marker can be accomplished without labeling either assay component (probe or marker) by utilizing a technology such as real-time Biomolecular Interaction Analysis (BIA) (see, e.g., Sjolander, S. and Urbaniczky, C., 1991, Anal Chem. 63:2338-2345 and Szabo et al., 1995, Curr. Opin. Struct. Biol. 5:699-705). As used herein, “BIA” or “surface plasmon resonance” is a technology for studying biospecific interactions in real time, without labeling any of the interactants (e.g., BIAcore®). Changes in the mass at the binding surface (indicative of a binding event) result in alterations of the refractive index of light near the surface (the optical phenomenon of surface plasmon resonance (SPR)), resulting in a detectable signal which can be used as an indication of real-time reactions between biological molecules.


Alternatively, in another embodiment, analogous diagnostic and prognostic assays can be conducted with marker and probe as solutes in a liquid phase. In such an assay, the complexed marker and probe are separated from uncomplexed components by any of a number of standard techniques, including but not limited to: differential centrifugation, chromatography, electrophoresis and immunoprecipitation. In differential centrifugation, marker/probe complexes may be separated from uncomplexed assay components through a series of centrifugal steps, due to the different sedimentation equilibria of complexes based on their different sizes and densities (see, for example, Rivas, G., and Minton, A. P., 1993, Trends Biochem Sci. 118(8):284-7). Standard chromatographic techniques may also be utilized to separate complexed molecules from uncomplexed ones. For example, gel filtration chromatography separates molecules based on size, and through the utilization of an appropriate gel filtration resin in a column format, for example, the relatively larger complex may be separated from the relatively smaller uncomplexed components. Similarly, the relatively different charge properties of the marker/probe complex as compared to the uncomplexed components may be exploited to differentiate the complex from uncomplexed components, for example through the utilization of ion-exchange chromatography resins. Such resins and chromatographic techniques are well known to one skilled in the art (see, e.g., Heegaard, N. H., 1998, J. Mol. Recognit. 11(1-6):141-8; Hage, D. S., and Tweed, S. A. J Chromatogr B Biomed Sci Appl 1997 699(1-2):499-525). Gel electrophoresis may also be employed to separate complexed assay components from unbound components (see, e.g., Ausubel et al., ed., Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1987-1999). In this technique, protein or nucleic acid complexes are separated based on size or charge, for example. In order to maintain the binding interaction during the electrophoretic process, non-denaturing gel matrix materials and conditions in the absence of reducing agent are typically preferred. Appropriate conditions to the particular assay and components thereof will be well known to one skilled in the art.


In a particular embodiment, the level of marker mRNA can be determined both by in situ and by in vitro formats in a biological sample using methods known in the art. The term “biological sample” is intended to include tissues, cells, biological fluids and isolates thereof, isolated from a subject, as well as tissues, cells and fluids present within a subject. Many expression detection methods use isolated RNA. For in vitro methods, any RNA isolation technique that does not select against the isolation of mRNA can be utilized for the purification of RNA from cervical cells (see, e.g., Ausubel et al., ed., Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1987-1999). Additionally, large numbers of tissue samples can readily be processed using techniques well known to those of skill in the art, such as, for example, the single-step RNA isolation process of Chomczynski (1989, U.S. Pat. No. 4,843,155).


The isolated mRNA can be used in hybridization or amplification assays that include, but are not limited to, Southern or Northern analyses, polymerase chain reaction analyses and probe arrays. One preferred diagnostic method for the detection of mRNA levels involves contacting the isolated mRNA with a nucleic acid molecule (probe) that can hybridize to the mRNA encoded by the gene being detected. The nucleic acid probe can be, for example, a full-length cDNA, or a portion thereof, such as an oligonucleotide of at least 7, 15, 30, 50, 100, 250 or 500 nucleotides in length and sufficient to specifically hybridize under stringent conditions to a mRNA or genomic DNA encoding a marker of the present invention. Other suitable probes for use in the diagnostic assays of the invention are described herein. Hybridization of an mRNA with the probe indicates that the marker in question is being expressed.


In one format, the mRNA is immobilized on a solid surface and contacted with a probe, for example by running the isolated mRNA on an agarose gel and transferring the mRNA from the gel to a membrane, such as nitrocellulose. In an alternative format, the probe(s) are immobilized on a solid surface and the mRNA is contacted with the probe(s), for example, in an Affymetrix gene chip array. A skilled artisan can readily adapt known mRNA detection methods for use in, detecting the level of mRNA encoded by the markers of the present invention.


An alternative method for determining the level of mRNA marker in a sample involves the process of nucleic acid amplification, e.g., by rtPCR (the experimental embodiment set forth in Mullis, 1987., U.S. Pat. No. 4,683,202), ligase chain reaction (Barany, 1991, Proc. Natl. Acad. Sci. USA, 88:189-193), self-sustained sequence replication (Guatelli et al., 1990, Proc. Natl. Acad. Sci. USA 87:1874-1878), transcriptional amplification system (Kwoh et al., 1989, Proc. Natl. Acad. Sci. USA 86:1173-1177), Q-Beta Replicase (Lizardi et al., 1988, Bio/Technology 6:1197), rolling circle replication (Lizardi et al., U.S. Pat. No. 5,854,033) or any other nucleic acid amplification method, followed by the detection of the amplified molecules using techniques well known to those of skill in the art. These detection schemes are especially useful for the detection of nucleic acid molecules if such molecules are present in very low numbers. As used herein, amplification primers are defined as being a pair of nucleic acid molecules that can anneal to 5′ or 3′ regions of a gene (plus and minus strands, respectively, or vice-versa) and contain a short region in between. In general, amplification primers are from about 10 to 30 nucleotides in length and flank a region from about 50 to 200 nucleotides in length. Under appropriate conditions and with appropriate reagents, such primers permit the amplification of a nucleic acid molecule comprising the nucleotide sequence flanked by the primers.


For in situ methods, mRNA does not need to be isolated from the cervical cells prior to detection. In such methods, a cell or tissue sample is prepared/processed using known histological methods. The sample is then immobilized on a support, typically a glass slide, and then contacted with a probe that can hybridize to mRNA that encodes the marker.


As an alternative to making determinations based on the absolute expression level of the marker, determinations may be based on the normalized expression level of the marker. Expression levels are normalized by correcting the absolute expression level of a marker by comparing its expression to the expression of a gene that is not a marker, e.g., a housekeeping gene that is constitutively expressed. Suitable genes for normalization include housekeeping genes such as the actin gene, or epithelial cell-specific genes. This normalization allows the comparison of the expression level in one sample, e.g., a patient sample, to another sample, e.g., a non-cervical cancer sample, or between samples from different sources.


Alternatively, the expression level can be provided as a relative expression level. To determine a relative expression level of a marker, the level of expression of the marker is determined for 10 or more samples of normal versus high-grade dysplastic cell isolates, preferably 50 or more samples, prior to the determination of the expression level for the sample in question. The mean expression level of each of the genes assayed in the larger number of samples is determined and this is used as a baseline expression level for the marker. The expression level of the marker determined for the test sample (absolute level of expression) is then divided by the mean expression value obtained for that marker. This provides a relative expression level.


Preferably, the samples used in the baseline determination will be from high-grade dysplastic or from non-cervical cancer cells of cervical tissue. The choice of the cell source is dependent on the use of the relative expression level. Using expression found in normal tissues as a mean expression score aids in validating whether the marker assayed is cervical specific (versus normal cells). In addition, as more data is accumulated, the mean expression value can be revised, providing improved relative expression values based on accumulated data. Expression data from cervical dysplastic cells provides a means for grading the severity of the dysplasia.


Methods

Preliminary Method Evaluation: Prior to the protein discovery work utilizing clinical specimens, several pilot studies were completed to assess the compatibility of PreservCyt® Solution (Cytyc Corporation) and ThinPrep® Pap Stain (Cytyc Corporation) with subsequent sample processing methods and mass spectroscopy analysis. PreservCyt fixative is a proprietary methanol-based buffered preservative solution designed to support cells during transport and slide preparation on the ThinPrep 2000 or 3000 Processor. PreservCyt Solution has routinely been utilized for the collection, storage, and processing of gynecological samples as well as Fine Need Aspirates (FNA), mucoid specimens, body fluids, and superficial brushings and scrapings. The ThinPrep Pap Stain is a specialized cocktail of individual stains (including hematoxylin, Orange G, Eosin) which has been specifically optimized for the visualization and diagnosis of cervical cytology specimens.


An in-solution cell staining protocol was developed to evaluate HeLa cells that had been cultured, harvested at confluency, and placed into PreservCyt solution. Cells in solution were split and subsequently processed through a series of incubation and wash steps utilizing protocols adapted from existing slide-based staining procedures to stain cells with either hematoxylin or the ThinPrep Pap Stain. Because hematoxylin stained tissue has been successfully utilized in mass spectroscopy, protein recovery for cells processed using hematoxylin was directly compared to cells processed with the ThinPrep stain. No significant differences in protein recovery were observed between the two staining methods. Because the ThinPrep Pap stain provides improved morphological discrimination of dysplastic cells proved to be compatible with subsequent mass spectroscopy methods, this stain was utilized in the processing of all cervical specimens.


Sample Procurement Residual ThinPrep cervical specimens having a diagnosis of Within Normal Limits (WNL) or HSIL were evaluated for overall cellularity as well as the percentage of high-grade cells (HSIL specimens). An initial ThinPrep slide (control slide) was prepared on the ThinPrep 2000 instrument from residual clinical samples and subsequently ThinPrep Pap stained and coverslipped. This control slide was utilized to confirm clinical diagnosis and select specimens suitable for inclusion in the study. In addition to requirements of adequate cellularity, all specimens met additional inclusion criteria such as a minimal prevalence of polymorphonuclear neutrophils (PMN's) and bacteria. Finally, selected specimens were processed approximately 6 weeks or less from the date of collection in an effort to minimize potential protein degradation.


For specimens having adequate cellularity, the ThinPrep processor and filter routinely applies approximately 70,000 cells to the slide in a homogeneous thin layer. Because the actual number of high-grade cells can vary substantially between specimens, multiple slides were prepared from selected cases having the highest percentage of dysplastic cells and Pap stained. Abnormal cells from HSIL specimens were identified and marked on the back side of slides using a xylene resistant pen (0.20 mm Pigma pen, Sakura Color Products Corp.) in conjunction with Cytyc's ThinPrep Imaging System Review Scope®. Reference marks served as locator guides for the LCM operator to identify the high-grade cells or cell clusters of interest. A cell count (number of high-grade cells) was performed at this time to ensure that a minimum of 12,000 cells were available per specimen. A total of 116 residual ThinPrep samples having an initial clinical diagnosis of HSIL were acquired and evaluated; of these 10 samples (˜9%) satisfied all inclusion requirements and were prepared for LCM. A total of nine HSIL (abnormal), one AGUS (abnormal) and 13 WNL (normal) samples were analyzed for this study. (AGUS=atypical glandular cells of undetermined significance)


Sample Assessment: To assist in the interpretation of proteomic results, a macroscopic cellular assessment was completed for each WNL and HSIL specimen control slide. Evaluations included estimates for the percentage of superficial, intermediate, and parabasal cells as well as endocervical and metaplastic cellular components. This information was documented for WNL specimens to better understand how potential differences in protein profiles might be attributed to differences in cellular content. For HSIL specimens, patient follow-up information was also requested to permit the segregation of potential patterns. Finally, a 0.25 ml aliquot was removed from each HSIL specimen for HPV genotype analysis using the Roche Linear Array HPV Genotyping Test. A 4 ml aliquot was removed from WNL specimens and subject to analysis using Digene's HCII test for the detection of low-risk or high-risk HPV.


Laser Capture Microdissection (LCM): Coverslips were removed from Pap stained slides with xylene and air-dried. Prior to LCM, Prep Strips were applied to remove poorly adhered material and help reduce overall background. Immediately before cell capture, a drop of xylene was applied to the slide to allow visualization of the cells for coordinate selection. Cycles of xylene application, coordinate selection, and drying were utilized to identify and capture high-grade cells present on the slide. Cells were collected using CapSure polyethylene membrane caps and the LCM caps subsequently placed in eppendorf tubes. Approximately 12,000 cells per specimen were selected using the Autopix LCM System® from Arcturus (Mountain View, Calif.).


Quality control was performed to assess both the background and accuracy of cell removal during the LCM process. This was accomplished by imaging representative areas of the slide before and after LCM. In summary, two slides from each case were selected for quality control and a total of 8 before and after images were taken from each slide (2 images per slide quadrant). Finally, a full image of the LCM cap was taken for all caps. Images were reviewed by a cytotechnologist to quantify the accuracy of selective abnormal cell removal as well as the approximate number of normal cells unintentionally removed (background). Background for the majority of slides was determined to be less than five percent for all samples.


SDS-PAGE: Lysis buffer (2% SDS) was added to the Eppendorf tube to solubilize LCM captured cells. Protein extract was subjected to SDS-PAGE to separate proteins by molecular weight. The gels were divided into three sections and in-gel tryptic digestion performed.


LTQ FT Mass Spectroscopy (MS): Proteolytic samples were analyzed by on-line liquid chromatography using a Thermo Electron linear ion trap with Fourier transfer mass spectrometer (LTQ-FT) with a Dionex nanoLC instrument and a 75 μm ID×15 cm C-18 capillary column (flow rate of 300 mL per minute). Mass spectrometry was performed as 1 full FT-MS scan followed by 8 sequential LTQ-MS/MS scans throughout the 90-minute separation.


Protein Identification and Quantitation: ProteinProphet probability software was utilized first to identify proteins based upon corresponding peptide sequences with >95% confidence, followed by confirmation from accurate mass assignment (within 5 ppm). The peak area from the extract ions (i.e. disease and normal) were used for comparison (differential quantitation).


Experimental

Method: Cervical specimens were evaluated for overall cellularity as well as the percentage of having a diagnosis of high-grade squamous intraepithelial lesion (HSIL) cells. Multiple slides were prepared from selected cases, and subsequently imaged utilizing Pap stained and ThinPrep Imaging System. Cells selected for LCM were marked using the Review Scope. Approximately 12,000 high-grade cells per specimen were captured via LCM using the Autopix System®. Cells were then lysed with SDS and proteins separated via SDS-PAGE in preparation for in-gel digestion. The resulting peptides were analyzed by on-line liquid chromatography with a LTQ-FTMS. Proteins with different quantitation levels between normal and HSIL samples were identified by comparing the intensities of the representative peptide ions after normalization with intrinsic house keeping proteins and/or cell numbers.


Results: Diagnostic cells of interest from ThinPrep cervical cytology specimens were identified, selected via LCM, and successfully processed for proteomic analysis using mass spectroscopy. To validate this approach, reproducibility and dynamic range were first studied. Less than 30% variation for a given sample was observed for the entire process, and good linearity (r2=0.95) from 3,000 to 24,000 cells was obtained. Following this, 10 disease (HSIL) and 10 normal LCM samples were globally investigated. 2,184 proteins with at least 2 peptide identifications, and including one peptide with accurate mass, a total of 4300 unique proteins were identified. Many proteins were found to be up- or down-regulated with at least a 3-fold difference, particularly in nuclear and mitochondrial regions, based on Gene Ontology software. Due to the sensitivity and dynamic range of this approach, very few cells were required for analysis, and quantitation without labeling was successfully employed. Protein profiles unique to high-grade dysplastic cells can yield potential biomarkers for molecular diagnostic applications.


These results are illustrated in the following Tables.









TABLE 1







Relative Abundant Proteins With Significant Biological Interest Upregulated in


High-Grade Cervical Specimens












Number Up-



Gene/Protein Name
GI Accession
Regulated Pairs
UniGene ID













Heterogeneous nuclear ribonucleoproteins A2/B1
133257
9
HS.487774


Heterogeneous nuclear ribonucleoproteins C1/C2
20455507
9
HS.508848


Heterogeneous nuclear ribonucleoprotein K
48429103
8
HS.522257


Heterogenous nuclear ribonucleoprotein U
6226894
7
HS.166463


Polypyrimidine tract-binding protein 1
131528
5
HS.172550


Heterogeneous nuclear ribonucleoprotein A1
133254
4
HS.534921, HS.546261


Heterogeneous nuclear ribonucleoprotein F
1710628
4
HS.808


Heterogeneous nuclear ribonucleoprotein H
1710632
4
HS.202166


Heterogeneous nuclear ribonucleoprotein R
12230547
4
HS.373763


Heterogeneous nuclear ribonucleoprotein D0
13124489
3
HS.480073


Heterogeneous nuclear ribonucleoprotein M
55977747
3
HS.465808


Heterogeneous nuclear ribonucleoprotein H
2500576
2
HS.278857


Heterogeneous nuclear ribonucleoprotein L
133274
1
HS.446623


Heterogeneous nuclear ribonucleoprotein A3
51338779
1
HS.516539


Transgelin-2
586000
10
HS.517168


Nucleolin
128841
6
HS.79110


ADP, ATP carrier protein, fibroblast isoform
113459
9
HS.522767


Voltage-dependent anion-selective channel protein 2
1172554
8
HS.355927


Voltage-dependent anion-selective channel protein 1
130683
4
HS.519320


Superoxide dismutase [Mn], mitochondrial precursor
134665
4
HS.487046


60S ribosomal protein L7
133021
6
HS.421257


60S acidic ribosomal protein P0
133041
4
HS.546285, HS.448


40S ribosomal protein S5
22002064
3
HS.378103


Keratin, type I cytoskeletal 18
125083
4
HS.406013


Peptidyl-prolyl cis-trans isomerase A
51702775
4
HS.356331, HS.517





HS.356331


Peptidyl-prolyl cis-trans isomerase B precursor
118090
5
HS.434937


GTP-binding nuclear protein Ran
51338598
4
HS.10842, HS.519656


Ras-related protein Rab-7
1709999
3
HS.15738


Heat shock protein HSP 90-alpha
123678
4
HS.523560, HS.525600


Heat shock protein HSP 90-beta
17865718
5
HS.509736


Heat shock 70 kDa protein 1
462325
4
HS.405994, HS.520028





HS.274402, HS.490287





HS.546245, HS.533257





HS.522463, HS.439552





HS.52


Pyruvate kinase, isozymes M1/M2
20178296
6
HS.198281


Ubiquitin-activating enzyme E1
24418865
3
HS.533273


Myosin-9
6166599
3
HS.474751


SET protein
46397790
3
HS.436687


Histone H2A.z
121994
4
HS.119192


T-complex protein 1, beta subunit
6094436
3
HS.189772


Erythrocyte band 7 integral membrane protein
114823
4
HS.253903


Moesin
127234
4
HS.87752


Peroxiredoxin 1
548453
7
HS.180909


Sodium/potassium-transporting ATPase alpha-1 chain
114374
3
HS.371889


precursor


Elongation factor Tu, mitochondrial precursor
1706611
3
HS.12084
















TABLE 2







Relative Abundant Proteins Upregulated in High-Grade Cervical Specimens












Number Up-



Gene/Protein Name
GI Accession
Regulated Pairs
UniGene ID













Malate dehydrogenase, mitochondrial precursor
6648067
8
HS.520967


Keratin, type II cytoskeletal 7
20178293
8
HS.411501


Vimentin
55977767
8
HS.533317


Endoplasmin precursor
119360
7
HS.459507, HS.192


60 kDa heat shock protein, mitochondrial precursor
129379
7
HS.471014, HS.113


Transketolase
1729976
7
HS.89643


Protein disulfide-isomerase A3 precursor
2507461
7
HS.308709


Stress-70 protein, mitochondrial precursor
21264428
7
HS.547532, HS.184


Dolichyl-diphosphooligosaccharide-protein
132559
6
HS.518244


glycosyltransferase 67 kDa subunit precursor


Histone H1.2
417101
6
HS.7644


Core histone macro-H2A.1
12643340
6
HS.420272


Neutrophil defensin 3 precursor
30316323
6
HS.294176, HS.380


Tubulin beta-1 chain
56757569
6
HS.294176


14-3-3 protein tau
112690
5
HS.74405


Annexin A5
113960
5
HS.480653


Apolipoprotein A-I precursor
113992
5
HS.534983, HS.93194


Calreticulin precursor
117501
5
HS.515162


Adenylyl cyclase-associated protein 1
399184
5
HS.370581


Calnexin precursor
543920
5
HS.529890


L-plastin
1346733
5
HS.381099


Annexin A4
1703319
5
HS.422986


Annexin A11
1703322
5
HS.530291


Keratin, type II cytoskeletal 8
2506774
5
HS.533782


Myeloblastin precursor
6174926
5
HS.928


Nebulin
19856971
5
HS.134602, HS.529265


Trifunctional enzyme alpha subunit, mitochondrial
20141376
5
HS.516032


precursor


Hemoglobin alpha chain
57013850
5


Alpha-2-macroglobulin precursor
112911
4
HS.212838


ATP synthase alpha chain, mitochondrial precursor
114517
4
HS.298280


Leukocyte elastase precursor
119292
4
HS.99863


Protein disulfide-isomerase A4 precursor
119530
4
HS.93659


Haptoglobin precursor
123508
4
HS.513711


Lamin A/C
125962
4
HS.491359


Ig mu chain C region
127514
4
HS.525648


Myeloperoxidase precursor
129825
4
HS.458272


Fibrinogen beta chain precursor
399492
4
HS.300774


40S ribosomal protein S3
417719
4
HS.546286


Alpha-1-antitrypsin precursor
1703025
4
HS.525557


Clathrin heavy chain 1
1705916
4
HS.491351


Peroxisomal multifunctional enzyme type 2
1706396
4
HS.406861


Probable ATP-dependent RNA helicase p47
2500529
4
HS.254042


Fibronectin precursor
2506872
4
HS.203717


Thioredoxin-dependent peroxide reductase,
2507171
4
HS.523302


mitochondrial precursor


WD-repeat protein 1
12643636
4
HS.128548


Epiplakin
14194713
4
HS.200412


Histone H1.5
19856407
4
HS.131956


Isocitrate dehydrogenase [NADP], mitochondrial
20141568
4
HS.513141


precursor


Fibrinogen gamma chain precursor
20178280
4
HS.546255


Filamin B
38257363
4
HS.476448


DNA-dependent protein kinase catalytic subunit
38258929
4
HS.491682


Hook homolog 1
41688595
4
HS.378836


Alpha-actinin 1
46397817
4
HS.509765


40S ribosomal protein S8
50403622
4
HS.512675


Histone H3.3
55977062
4


Tubulin alpha-1 chain
55977476
4
HS.75318


Hemoglobin beta chain
56749856
4
HS.523443


Alpha-1-acid glycoprotein 1 precursor
112877
3
HS.494894


Filamin A
113001
3
HS.195464


Fructose-bisphosphate aldolase A
113606
3
HS.513490


Nucleophosmin
114762
3
HS.519452, HS.535499





HS.196534


Cathepsin G precursor
115725
3
HS.421724


Complement C3 precursor
116594
3
HS.529053


Elongation factor 2
119172
3
HS.515070


Ig gamma-4 chain C region, Ig gamma-2 chain C region
121043
3
null


Ig gamma-4 chain C region, Ig gamma-2 chain C region
121047
3
HS.534324


Hemoglobin delta chain
122713
3
HS.36977


ATP-dependent DNA helicase II, 70 kDa subunit
125729
3
HS.292493


Ig kappa chain V-III region HAH precursor
125817
3


Lamin B1
125953
3
HS.89497


40S ribosomal protein SA
125969
3
HS.374553


Myosin regulatory light chain 2, nonsarcomeric
127169
3
HS.190086


T-complex protein 1, alpha subunit
135538
3
HS.487054


Serotransferrin precursor
136191
3
HS.518267


Thymidine phosphorylase precursor
136588
3
HS.531314, HS.546


Vitronectin precursor
139653
3
HS.2257


Zinc-alpha-2-glycoprotein precursor
141596
3
HS.546239


Prohibitin
464371
3
HS.514303


Macrophage capping protein
729022
3
HS.516155


Glutamine synthetase
1169929
3
HS.518525


Ras GTPase-activating-like protein IQGAP1
1170586
3
HS.430551


Nicotinamide phosphoribosyltransferase
1172027
3
HS.489615


ATP synthase oligomycin sensitivity conferral protein,
1352049
3
HS.409140


mitochondrial precursor


Fructose-1,6-bisphosphatase
1352403
3
HS.494496


Fibrinogen alpha/alpha-E chain precursor
1706799
3
HS.351593


Splicing factor, proline-and glutamine-rich
1709851
3
HS.355934


Calgizzarin
1710818
3
HS.417004


Protein disulfide-isomerase A6 precursor
2501205
3
HS.212102, HS.372429


Probable RNA-dependent helicase p72
3122595
3
HS.528305


Keratin, type I cuticular HA1
6016413
3
HS.41696


Histone H2B.e
7387742
3
HS.182432


Chloride intracellular channel protein 1
12643390
3
HS.414565


Serine protease inhibitor Kazal-type 5 precursor
13959398
3
HS.331555


Plectin 1
14195007
3
HS.434248


Talin 1
14916725
3
HS.375001


78 kDa glucose-regulated protein precursor
14916999
3
HS.522394


Crumbs protein homolog 1 precursor
17374421
3
HS.126135


Ryanodine receptor 3
18202506
3
HS.445841


Probable ATP-dependent helicase DDX48
20532400
3
HS.389649


Isocitrate dehydrogenase [NADP] cytoplasmic
21903432
3
HS.11223


Vinculin
21903479
3
HS.500101


60S ribosomal protein L4
22002063
3
HS.186350, HS.4328


Fibulin-1 precursor
30581038
3
HS.24601


Ras-related protein Rab-11B
38258938
3
HS.433888


Dolichyl-diphosphooligosaccharide-Protein
46397832
3
HS.523145


glycosyltransferase 48 kDa subunit precursor


Lysozyme C precursor
48428995
3
HS.524579


Keratin, type II cuticular HB5
48474780
3
HS.182507


Nuclear mitotic apparatus protein 1
50400858
3
HS.523873


40S ribosomal protein S4, X isoform
50403628
3
HS.446628


T-complex protein 1, delta subunit
52001478
3
HS.421509


Tubulin alpha-ubiquitous chain
55977474
3
HS.524390


Citrate synthase, mitochondrial precursor
57015285
3
















TABLE 3







Lower Probability Proteins Upregulated in High-Grade Cervical Specimens












Number Up-



Gene/Protein Name
GI Accession
Regulated Pairs
UniGene ID













Alpha-1-antichymotrypsin precursor
112874
2
HS.534293


Aspartate aminotransferase, mitochondrial precursor
112983
2
HS.460929


Ig alpha-1 chain C region
113584
2
null


Alcohol dehydrogenase [NADP+]
113600
2
HS.474584


Antithrombin-III precursor
113936
2
HS.75599


Annexin A3
113954
2
HS.480042


Annexin A6
113962
2
HS.412117


Annexin A8
113967
2
HS.463110, HS.524


Apolipoprotein B-100 precursor
114014
2
HS.120759


ATP synthase beta chain, mitochondrial precursor
114549
2
HS.406510


Carbonic anhydrase II
115456
2
HS.155097


Calpain small subunit 1
115612
2
HS.515371


Ceruloplasmin precursor
116117
2
HS.282557


Clusterin precursor
116533
2
HS.436657


Alpha enolase
119339
2
HS.517145


Ferritin light chain
120523
2
HS.433670


Guanine nucleotide-binding protein G(i), alpha-2 subunit
121023
2
HS.77269


Ig gamma-1 chain C region
121039
2
HS.375600


Solute carrier family 2, facilitated glucose transporter,
121751
2
HS.473721


member 1


Histone H1.3
121925
2
HS.136857


Histone H2A.o
121970
2
HS.530461


Histone H2A.x
121992
2
HS.477879


Ig heavy chain V-I region HG3 precursor
123799
2


Ig heavy chain V-III region TEI, Ig heavy chain V-III
123845
2


region BRO


Keratin, type I cytoskeletal 15
125081
2
HS.80342


ATP-dependent DNA helicase II, 80 kDa subunit
125731
2
HS.388739


Leukotriene A-4 hydrolase
126353
2
HS.524648


Galectin-3
126678
2
HS.531081


Tyrosine-protein phosphatase, non-receptor type 6
131469
2
HS.63489


Prolactin-inducible protein precursor
134170
2
HS.99949


Transferrin receptor protein 1
136378
2
HS.529618


Transthyretin precursor
136464
2
HS.427202


Vitamin D-binding protein precursor
139641
2
HS.418497


Fatty acid-binding protein, epidermal
232081
2
HS.408061


Tumor necrosis factor, alpha-induced protein 2
416700
2
HS.525607


60S ribasomal protein L9
417677
2
HS.412370, HS.513083


Fibrillin 1 precursor
544279
2
HS.146447


Keratin, type I cytoskeletal 17
547751
2
HS.2785


Serine/threonine protein phosphatase PP1-gamma
548573
2
HS.79081


catalytic subunit


Myeloid cell nuclear differentiation antigen
730038
2
HS.153837


UTP-glucose-1-phosphate uridylyltransferase 1
731050
2
null


Neutrophil gelatinase-associated lipocalin precursor
1171700
2
HS.204238


14-3-3 protein beta/alpha
1345590
2
HS.279920


60S ribosomal protein L6
1350762
2
HS.546283, HS.5286


Phosphatidylethanolamine-binding protein
1352726
2
HS.433863


F-actin capping protein alpha-1 subunit
1705650
2
HS.514934


Coatomer alpha subunit
1705996
2
HS.162121


Hemopexin precursor
1708182
2
HS.426485


Hexokinase type III
1708363
2
HS.411695


Malate dehydrogenase, cytoplasmic
1708967
2
HS.526521


130 kDa leucine-rich protein
1730078
2
HS.368084


3-hydroxyacyl-CoA dehydrogenase type II
2492759
2
HS.171280


Laminin alpha-2 chain precursor
2506805
2
HS.200841


Protein disulfide-isomerase precursor
2507460
2
HS.464336


Pyridoxal kinase
2811007
2
HS.284491


Enoyl-CoA hydratase, mitochondrial precursor
2851395
2
HS.76394


DEAD-box protein 3, X-chromosomal
3023628
2
HS.380774


Actin-related protein ⅔ complex subunit 2
3121764
2
HS.529303


2,4-dienoyl-CoA reductase, mitochondrial precursor
3913456
2
HS.492212


ATP-dependent RNA helicase A
3915658
2
HS.191518


Carcinoembryonic antigen-related cell adhesion
5921734
2
HS.74466


molecule 7 precursor


Lactotransferrin precursor
6175096
2
HS.529517


Transaldolase
6648092
2
HS.438678


Eukaryotic translation initiation factor 3 subunit 10
6685537
2
HS.523299


Keratin, type I cuticular HA6
6685565
2
HS.248189


Aconitate hydratase, mitochondrial precursor
6686275
2
HS.474982


Hsc70-interacting protein
6686278
2
HS.546303


Keratin, type I cuticular HA5
6686303
2
HS.73082


Poly(rC)-binding protein 2
6707736
2
HS.546271


Dolichyl-diphosphooligosaccharide-protein
9297108
2
HS.370895


glycosyltransferase 63 kDa subunit precursor


6-phosphofructokinase, liver type
9988057
2
HS.255093


T-complex protein 1, theta subunit
9988062
2
HS.125113


Coatomer gamma subunit
12229771
2
HS.518250


Zinc finger protein 208
12585543
2
HS.419763


Proteasome subunit alpha type 7
12643540
2
HS.233952


Myeloid/lymphoid or mixed-lineage leukemia protein 4
12643900
2
HS.92236


54 kDa nuclear RNA- and DNA-binding protein
13124797
2
HS.533282


Catenin delta-1
14916543
2
HS.166011


Growth hormone inducible transmembrane protein
15213977
2
HS.352656


Glucose-6-phosphate isomerase
17380385
2
HS.466471


Proteasome activator complex subunit 2
18203506
2
HS.512410, HS.434081


EF-hand domain-containing protein 2
20140139
2
HS.465374


Complement C4 precursor
20141171
2
HS.534847, HS.546241





HS.534847, HS.546241


Argininosuccinate synthase
20141195
2
HS.160786


Collagen-binding protein 2 precursor
20141241
2
HS.241579


Dermcidin precursor
20141302
2
HS.350570


Tubulin alpha-6 chain
20455322
2
HS.436035


ATP synthase B chain, mitochondrial precursor
20455474
2
HS.514870


Carcinoembryonic antigen-related cell adhesion
20455477
2
HS.466814


molecule 6 precursor


26S proteasome non-ATPase regulatory subunit 3
20532405
2
HS.12970


Importin beta-1 subunit
20981701
2
HS.532793


D-3-phosphoglycerate dehydrogenase
21264510
2
HS.487296


Major vault protein
21542417
2
HS.513488


Niban-like protein
22256935
2
HS.522401


Cytosolic nonspecific dipeptidase
23396498
2
HS.149185


Normal mucosa of esophagus specific gene 1 protein
23396774
2
HS.112242


Myosin If (Myosin-IE)
23831195
2
HS.408451


N-acetylglucosamine kinase
24638065
2
HS.7036


Aldehyde dehydrogenase family 7 member A1
25108887
2
HS.483239


Myosin XVIIIB
32699565
2
HS.417959


Myosin VI
33860183
2
HS.149387


Ras-related protein Rab-5C
38258923
2
HS.514182


ARP ⅔ complex 20 kDa subunit
38372625
2
HS.323342


Neuroblast differentiation associated protein AHNAK
39932547
2
HS.502756


Cytochrome c
42560196
2
HS.437060


Poly(rC)-binding protein 1
42560548
2
HS.2853


Eukaryotic initiation factor 4A-I
46397463
2
HS.129673


Keratin, type II cuticular HB1
46397468
2
HS.185568


40S ribosomal protein S20
46397703
2
HS.8102


Actin-like protein 3
47117647
2
HS.433512


10 kDa heat shock protein, mitochondrial
47606335
2
HS.1197


Myosin light polypeptide 6
47606436
2
HS.505705


14-3-3 protein gamma
48428721
2
HS.520974


Keratin, type II cuticular HB6
48474260
2
HS.278658


Keratin, type II cuticular HB2
48474984
2
HS.134640


40S ribosomal protein S16
50403607
2
HS.397609


40S ribosomal protein S13
50403608
2
HS.446588


40S ribosomal protein S14
50403752
2
H3.381126


Ciliary dynein heavy chain 5
51316044
2
HS.520106, HS.212


Histone H4
51317339
2


Ras-related protein Rab-1A
51338603
2
HS.310645


Small nuclear ribonucleoprotein Sm D1
51338665
2
HS.464734


14-3-3 protein epsilon
51702210
2
HS.513851


60S ribosomal protein L30
51702805
2
HS.400295


Phosphoglycerate kinase 1
52788229
2
HS.78771


Guanine nucleotide-binding protein beta subunit 2-like 1
54037168
2
HS.5662


Tropomyosin alpha 4 chain
54039751
2
HS.466088


Tubulin beta-2 chain
56757569
2


Spectrin alpha chain, brain
56757656
2


Protein-glutamine gamma-glutamyltransferase K
57015359
2


Staphylococcal nuclease domain containing protein 1
60415926
2


Interleukin enhancer-binding factor 2
62510764
2


Probable ubiquitin ligase protein MYCBP2
68052838
2


Mannose-6-phosphate receptor binding protein 1
68846601
2


Erythrocyte membrane protein band 4.2
112798
1
HS.368642


4F2 cell-surface antigen heavy chain
112803
1
HS.502769


5′-nucleotidase precursor
112825
1
HS.153952


Alpha-2-antiplasmin precursor
112907
1
HS.159509


ADP/ATP translocase 3
113463
1
HS.246506, HS.350





HS.246506


Serum albumin precursor
113576
1
HS.418167


Fructose-bisphosphate aldolase C
113613
1
HS.155247


Angiotensinogen precursor
113880
1
HS.19383


Annexin A1
113944
1
HS.494173


Amine oxidase
113978
1
HS.183109


Apolipoprotein A-II precursor
114000
1
HS.237658


Apolipoprotein A-IV precursor
114006
1
HS.1247


Sarcoplasmic/endoplasmic reticulum calcium ATPase 2
114312
1
HS.506759


Band 3 anion transport protein
114787
1
HS443948


Carbonic anhydrase I
115449
1
HS.23118


Calpain 1, large [catalytic] subunit
115574
1
HS.502842, HS.492718


Cathepsin D precursor
115717
1
HS.546248, HS.121575


Carcinoembryonic antigen-related cell adhesion
115940
1
HS.220529


molecule 5 Precursor


Complement factor H precursor
116131
1
HS.2637, HS.363396


Calcyclin
116509
1
HS.275243


Complement C5 precursor
116607
1
HS.494997


Neutrophil collagenase precursor
116862
1
HS.161839


Matrix metalloproteinase-9 precursor
116863
1
HS.297413


Cytochrome c oxidase subunit IV isoform 1,
117086
1
HS.433419


Mitochondrial precursor


Cytochrome P450 1A1
117139
1
HS.72912


Cytochrome P450 3A7
117159
1
HS.111944


Cystatin A
118177
1
HS.518198


Aldehyde dehydrogenase, mitochondrial precursor
118504
1
HS.436437


Glutamate dehydrogenase 1, mitochondrial precursor
118541
1
HS.500409


NAD(P)H dehydrogenase [quinone] 1
118607
1
HS.406515


Elongation factor 1-gamma
119165
1
HS.144835, HS.444467


Eosinophil granule major basic protein precursor
119239
1
HS.512633


Electron transfer flavoprotein alpha-subunit,
119636
1
HS.39925


Mitochondrial precursor


Ferritin heavy chain
120516
1
HS.446345, HS.533597





HS.448738, HS.500761





HS.523854


Glucosidase II beta subunit precursor
120629
1
HS.512640


Gelsolin precursor
121116
1
HS.522373


Histone H2A.a
121968
1
HS.121017, HS.2481


HLA class I histocompatibility antigen, A-2 alpha chain
122138
1


precursor


Heparin cofactor II precursor
123055
1
HS.474270


Ig heavy chain V-II region NEVVM, Ig heavy chain V-II
123828
1


Region ARH-77 precursor


Ig heavy chain V-III region VH26 precursor
123843
1
null


Ig heavy chain V-III region TIL
123844
1


Ig heavy chain V-III region HIL
123850
1


Targeting protein for Xklp2
124096
1
HS.384598


Insulin-like growth factor I receptor precursor
124240
1
HS.20573


Integrin beta-2 precursor
124966
1
HS.375957


Inter-alpha-trypsin inhibitor heavy chain H2 precursor
125000
1
HS.75285


Ig kappa chain C region
125145
1
HS.449621


Creatine kinase, ubiquitous mitochondrial precursor
125315
1
HS.425633


Ig kappa chain V-III region SIE
125819
1


Ig kappa chain V-IV region JI precursor, Ig kappa
125833
1


chain V-IV region precursor


L-lactate dehydrogenase B chain
126041
1
HS.446149


Laminin alpha-1 chain precursor
126363
1
HS.270364


Neutrophil cytosol factor 1
127946
1
HS.458275, HS.1583





HS.448231


Probable RNA-dependent helicase p68
129383
1
HS.279806


Junction plakoglobin
130257
1
HS.514174


Plasminogen precursor
130316
1
HS.143436


Phosphoglycerate mutase 1
130348
1
HS.447492, HS.502841





HS.511830


Poly [ADP-ribose] polymerase-1
130781
1
HS.177766


Proteasome subunit alpha type 2
130850
1
HS.333786


Placental ribonuclease inhibitor
132573
1
HS.530687


60S acidic ribosomal protein P1
133051
1
HS.356502


Proactivator polypeptide precursor
134218
1
HS.523004


Tryptophanyl-tRNA synthetase
135191
1
HS.497599


Thrombospondin-1 precursor
135717
1
HS.164226


Acetyl-CoA acetyltransferase, mitochondrial precursor
135755
1
HS.232375


Thioredoxin
135773
1
HS.435136


Tumor necrosis factor receptor superfamily member 1A
135959
1
HS.279594


precursor


Tropomyosin alpha 3 chain
136085
1
HS.406293, HS.146070





HS.546881, HS.449194





HS.518123


60S ribosomal protein L12
266921
1
HS.408054


14-3-3 protein sigma
398953
1
HS.523718


Sodium channel protein type VII alpha subunit
399254
1
HS.182889


FK506-binding protein 4
399866
1
HS.524183


S100 calcium-binding protein A7
400892
1
HS.112408


Von Willebrand factor precursor
401413
1
HS.440848


C4b-binding protein alpha chain precursor
416733
1
HS.1012


Azurocidin precursor
416746
1
HS.72885


Long-chain-fatty-acid-CoA ligase 1
417241
1
HS.406678


Beta-catenin
461854
1
HS.476018


Metallothionein-IK
462636
1
HS.433391, HS.188518


ATP synthase gamma chain, mitochondrial precursor
543875
1
HS.271135


60S ribosomal protein L18
548749
1
HS.515517


Antigen peptide transporter 1
549042
1
HS.352018


Complement factor B precursor
584908
1
HS.69771


Trichohyalin
586120
1
null


Alu subfamily SX sequence contamination warning entry
728838
1


Peroxisomal farnesylated protein
729723
1
HS.517232


Proteasome subunit beta type 10 precursor
730376
1
HS.9661


40S ribosomal protein S19
730640
1
HS.438429


T-complex protein 1, zeta subunit
730922
1
HS.82916


Ubiquitin carboxyl-terminal hydrolase 8
731046
1
HS.443731


Succinate dehydrogenase [ubiquinone] flavoprotein
1169337
1
HS.440475


subunit, mitochondrial precursor


FKBP12-rapamycin complex-associated protein
1169735
1
HS.338207


Grancalcin
1170014
1
HS.377894


Glutathione S-transferase Mu 4
1170096
1
HS.348387


Proteasome activator complex subunit 1
1170519
1
HS.75348


Phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic
1171953
1
HS.518316


subunit, alpha isoform


40S ribosomal protein S10
1173177
1
HS.406620, HS.5391


CENP-F kinetochore protein
1345731
1
HS.497741


Fibrillin 2 precursor
1345961
1
HS.519294


Keratin, type II cytoskeletal 1
1346343
1
HS.80828


Keratin, type II cytoskeletal 6A
1346344
1
HS.367762


Keratin, type II cytoskeletal 6B
1346345
1
HS.524438


Keratin, type II cytoskeletal 6C
1346346
1
HS.367762


Diacylglycerol kinase, gamma
1346372
1
HS.171499


Galectin-7
1346431
1
HS.99923


Retinoic acid receptor RXR-gamma
1350913
1
HS.26550


Tissue factor pathway inhibitor 2 precursor
1351226
1
HS.438231


Complement component C9 precursor
1352108
1
HS.1290


Eosinophil peroxidase precursor
1352738
1
HS.279259


Acyl-CoA dehydrogenase, very-long-chain specific,
1703068
1
HS.437178


Mitochondrial precursor


Adapter-related protein complex 1 beta 1 subunit
1703167
1
HS.368794


Flavin reductase
1706870
1
HS.515785


Rho GDP-dissociation inhibitor 1
1707892
1
HS.159161


Rho GDP-dissociation inhibitor 2
1707893
1
HS.504877


Krueppel-related zinc finger protein 3
1708212
1
HS.502330


Hydroxymethylglutaryl-CoA synthase, mitochondrial
1708234
1
HS.59889


precursor


Heat shock-related 70 kDa protein 2
1708307
1
HS.432648


Serpin B8
1709895
1
HS.368077


Regulator of G-protein signaling 3
1710136
1
HS.494875


Squamous cell carcinoma antigen 2
1710877
1
HS.227948, HS.123035


Translocon-associated protein, delta subunit precursor
1711550
1
HS.409223


Vascular endothelial growth factor receptor 3 precursor
1718189
1
HS.415048


Tetratricopeptide repeat protein 3
1730008
1
HS.368214


Nucleoprotein TPR
1730009
1
HS.279640


Ketohexokinase
1730044
1
HS.159525


Glycine amidinotransferase, mitochondrial precursor
1730201
1
HS.75335


Polymeric-immunoglobulin receptor precursor
1730570
1
HS.497589


Desmoglein-2 precursor
2493421
1
HS.412597


Spectrin beta chain, brain 1
2493434
1
HS.503178


Calcyphosine
2493439
1
HS.26685


I-plastin
2493466
1
HS.203637


Delta3,5-delta2,4-dienoyl-CoA isomerase, mitochondrial
2494238
1
HS.196176


precursor


Fascin
2498357
1
HS.118400


Spliceosome RNA helicase BAT1
2500529
1


Septin-2
2500769
1
HS.335057


Vesicle-associated membrane protein 3
2501082
1
HS.66708


Zinc finger protein 239
2501707
1
HS.25040


Peroxiredoxin 2
2507169
1
HS.432121


CD44 antigen precursor
2507241
1
HS.502328


NADPH--cytochrome P450 reductase
2851393
1
HS.354056


Myosin heavy chain, skeletal muscle, perinatal
3041707
1
HS.534028


Myosin heavy chain, fast skeletal muscle, embryonic
3043372
1
HS.440895


Actin-related protein ⅔ complex subunit 1B
3121763
1
HS.489284


Actin-related protein ⅔ complex subunit 3
3121765
1
HS.524741


ARP2/3 complex 16 kDa subunit
3121767
1
HS.518609


Dihydropyrimidinase-related protein 2
3122051
1
HS.173381


Type I inositol-1,4,5-trisphosphate 5-phosphatase
3122245
1
HS.523360


Thiosulfate sulfurtransferase
3122965
1
HS.474783


Collagen alpha 1(XII) chain precursor
3182940
1
HS.101302


Protein tyrosine kinase 2 beta
3183003
1
HS.491322


Polyadenylate-binding protein 1
3183544
1
HS.387804


Dehydrogenase/reductase SDR family member 2
3915733
1
HS.272499


Transformer-2 protein homolog
4033480
1
HS.445652


Sorbitol dehydrogenase
4033691
1
HS.878


Serine/threonine protein phosphatase 2A, 65 kDa
5915686
1
HS.546276


regulatory subunit A, alpha isoform


Collagen alpha 3(VI) chain precursor
5921193
1
HS.233240


Endoplasmic reticulum protein ERp29 precursor
6015110
1
HS.75841


Glutathione S-transferase A4-4
6016167
1
HS.485557


Ig lambda chain V-III region LOI
6016518
1


Phytanoyl-CoA dioxygenase, peroxisomal precursor
6093646
1
HS.498732


Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 2
6093730
1
HS.477866


precursor


Selenium-binding protein 1
6094240
1
HS.334841


Transitional endoplasmic reticulum ATPase
6094447
1
HS.529782


Voltage-dependent P/Q-type calcium channel alpha-1A
6166047
1
HS.408449


subunit


Dimethylaniline monooxygenase
6166183
1
HS.445350


NDRG1 protein
6166568
1
HS.372914


Gamma-synuclein
6175048
1
HS.349470


Tripeptidyl-peptidase I precursor
6175068
1
HS.523454


UDP-glucose 6-dehydrogenase
6175086
1
HS.28309


Heat shock 70 kDa protein 4
6226869
1
HS.90093


Membrane associated progesterone receptor
6647589
1
HS.90061


component 1


Calcineurin-binding protein Cabin 1
6685261
1
HS.517478


Claudin-4
6685272
1
HS.520942


Keratin, type I cuticular HA4
6685564
1
HS.296942


TNF receptor associated factor 3
6686035
1
HS.510528


Microsomal glutathione S-transferase 3
7387731
1
HS.191734


Histone H2B.q
7387736
1
HS.2178


Histone H2B.q
7404367
1


NK-tumor recognition protein
8039798
1
HS.529509


Forkhead box protein O3A
8134467
1
HS.220950


Mannose-6-phosphate receptor binding protein 1
8134735
1
HS.140452


Acid ceramidase precursor
8247915
1
HS.527412


Regulator of G-protein signaling 9
8475983
1
HS.132327


Tenascin X precursor
9087217
1
HS.42853, HS.485104


Histone H2B.e
9973351
1


U6 snRNA-associated Sm-like protein LSm2
10720079
1
HS.103106


150 kDa oxygen-regulated protein precursor
10720185
1
HS.277704


Zinc finger protein 221
11136126
1
HS.274445


Programmed cell death protein 6
12230420
1
HS.50823, HS.379186


Zinc finger protein 43
12585553
1
HS.534365


Vacuolar ATP synthase subunit B, brain isoform
12643271
1
HS.295917


Absent in melanoma 1 protein
12643308
1
HS.486074


Cathepsin Z precursor
12643324
1
HS.252549


Glutathione S-transferase kappa 1
12643338
1
HS.390667


Sorting nexin-3
12643620
1
HS.12102


Vacuolar proton translocating ATPase 116 kDa subunit
12643719
1
HS.495985


A isoform 3


Gamma-aminobutyric acid type B receptor, subunit 1
12643873
1
HS.167017


precursor


Coronin-1C
12643898
1
HS.330384


Voltage-dependent anion-selective channel protein 3
12643945
1
HS.491597


Desmoplakin
12644130
1
HS.519873


Probable DNA dC-)dU editing enzyme APOBEC-3A
12644206
1
HS.348983


Diacylglycerol kinase, zeta
12644407
1
HS.502461


Myosin light chain kinase, smooth muscle and non-
12644418
1
HS.477375


Muscle isozymes


Coatomer gamma subunit
13124090
1
HS.532231


Targeting protein for Xklp2
13124096
1
HS.244580


F-box only protein 3
13124239
1
HS.406787


Long-chain-fatty-acid-CoA ligase 5
13431659
1
HS.11638


Myosin Ic
13431674
1
HS.286226


Keratin, type I cytoskeletal 14
13432173
1
HS.355214


Myosin-11
13432177
1
HS.460109


Inter-alpha-trypsin inhibitor heavy chain H4 precursor
13432192
1
HS.518000


Serine-protein kinase ATM
13878337
1
HS.435561


Lysyl oxidase homolog 2 precursor
13878585
1
HS.116479


Collagen alpha 1(VI) chain precursor
13878903
1
HS.474053


Envoplakin
14194715
1
HS.500635


Vinexin
14423996
1
HS.528572


Myosin Ixb
14548118
1
HS.123198


Ras-GTPase-activating protein binding protein 2
14916573
1
HS.303676


Glutathione reductase, mitochondrial precursor
14916998
1
HS.271510


Splicing factor 3B subunit 1
15214275
1
HS.471011


ADAMTS-12 precursor
17366354
1
HS.481865


Inositol 1,4,5-trisphosphate receptor type 3
17366458
1
HS.65758


Spectrin beta chain, brain 2
17367904
1
HS.26915


Reticulon 4
17369290
1
HS.429581


Ryanodine receptor 2
17380312
1
HS.109514


Transcriptional regulator ATRX
17380440
1
HS.533526


Acyl-coenzyme A oxidase 1, peroxisomal
17380467
1
HS.464137


Heat shock protein 75 kDa, mitochondrial precursor
17865679
1
HS.30345


Histone H3/b, Histone H3.1
18202621
1
HS.546315, HS.532





HS.248176, HS.44





HS.132854, HS.24





HS.484990, HS.70





HS.533292, HS.24


Tripartite motif protein 8
18202744
1
HS.336810


Echinoderm microtubule-associated protein-like 4
18202954
1
HS.432438


PINCH protein
18266876
1
HS.469593


Heat-shock protein beta-1
19855073
1
HS.520973


Ryanodine receptor 1
19857096
1
HS.466664


DNA replication licensing factor MCM5
19858646
1
HS.517582


Zinc finger protein 268
19863363
1
HS.183291, HS.186387


Cytochrome P450 3A43, Cytochrome P450 3A3
20137481
1
HS.306220


Interleukin-4 induced protein 1 precursor
20138284
1
HS.467133


Methylcrotonoyl-CoA carboxylase beta chain,
20138731
1
HS.167531


Mitochondrial precursor


Neurogenic locus notch homolog protein 2 precursor
20138948
1
HS.487360, HS.502564


Myoferlin
20139241
1
HS.500572


N-acetylated-alpha-linked acidic dipeptidase II
20139300
1
HS.503560


Sciellin
20139986
1
HS.115166


WD-repeat protein 10
20140806
1
HS.477537


Apoptotic protease activating factor 1
20141188
1
HS.546236


Monocyte differentiation antigen CD14 precursor
20141203
1
HS.163867


Elongation factor 1-delta
20141357
1
HS.333388


Short chain 3-hydroxyacyl-CoA dehydrogenase,
20141424
1
HS.438289


Mitochondrial precursor


Lumican precursor
20141464
1
HS.406475


Protein-glutamine gamma-glutamyltransferase
20141877
1
HS.517033


Zinc finger protein 41
20141930
1
HS.496074


Complement C1q subcomponent, C chain precursor
20178281
1
HS.467753


S100 calcium-binding protein A2
20178319
1
HS.516484


Lysyl-tRNA synthetase
20178333
1
HS.3100


Aldo-keto reductase family 1 member C3
20532372
1
HS.78183


ATP-dependent RNA helicase DDX18
20532388
1
HS.363492


Laminin alpha-5 chain precursor
20532393
1
HS.473256


Proteasome subunit beta type 3
20532411
1
HS.82793


Wnt-3a protein precursor
20532424
1
HS.336930


6-phosphogluconate dehydrogenase, decarboxylating
20981679
1
HS.464071


ELAV-like protein 1
20981691
1
HS.184492


Glutathione S-transferase Mu 3
21264423
1
HS.2006


Hsp90 co-chaperone Cdc37
21542000
1
HS.160958


Ankyrin 3
21759000
1
HS.499725


Coactosin-like protein
21759076
1
HS.289092


GPI transamidase component PIG-S
21759353
1
HS.462550


Cadherin EGF LAG seven-pass G-type receptor 3
22095552
1
HS.533070


precursor


ATP synthase g chain, mitochondrial
22096328
1
HS.486360


Vacuolar ATP synthase catalytic subunit A, ubiquitous
22096378
1
HS.477155


isoform


SAM domain and HD domain-containing protein 1
22257047
1
HS.472630


Translocon-associated protein, alpha subunit precursor
22261821
1
HS.114033


Chromodomain-helicase-DNA-binding protein 6
23396493
1
HS.522898, HS.371979


Ciliary dynein heavy chain 11
23396581
1
HS.520245, HS.432390


Kinesin-like protein KIF13B
23396625
1
HS.444767


Keratin, type I cytoskeletal 16
23503075
1
HS.432448


NADP-dependent leukotriene B4 12-
23503081
1
HS.546348


hydroxydehydrogenase


Protein KIAA1404
23821814
1
HS.371794


Mucin 5B precursor
23821885
1
HS.534332, HS.534862





HS.523395, HS.534332


Biliverdin reductase A precursor
23830892
1
HS.488143


WD-repeat protein 9
23831562
1
HS.314338


Loss of heterozygosity 11 chromosomal region 2 gene A
24211888
1
HS.152944


protein


Midasin
24212017
1
HS.529948


Basement membrane-specific heparan sulfate
24212664
1
HS.467545


proteoglycan core protein precursor


Exocyst complex component Sec15B
24418685
1
HS.303454


PR-domain protein 11
25008957
1
HS.147331


Netrin-1 precursor
25090820
1
HS.128002


Phosphatidylinositol-binding clathrin assembly protein
25090897
1
HS.163893


XPA-binding protein 2
25091548
1
HS.9822


Putative GTP-binding protein PTD004
25453240
1
HS.157351





HS.447547, HS.454


Vacuolar protein sorting 35
25453321
1
HS.467824


Flotillin-1
26006960
1
HS.179986


Talin-2
26400725
1
HS.511686


Sulfide:quinone oxidoreductase, mitochondrial precursor
27151704
1
HS.511251


Ras-related protein Rab-6C
27734458
1
HS.535586, HS.440


Junctophilin 1
27805492
1
HS.160574


Bullous pemphigoid antigen 1, isoforms 6/9/10
27923958
1
HS.485616


Bullous pemphigoid antigen 1 isoforms 1/2/3/4/5/8
27923959
1
HS.485616


Zonadhesin precursor
27924006
1
HS.307004


HECT domain containing protein 1
28380056
1
HS.210850


Wnt inhibitory factor 1 precursor
29337245
1
HS.284122


DNA-directed RNA polymerases III 80 kDa polypeptide
29428028
1
HS.460298


Nesprin 1
29839561
1
HS.12967


Nesprin-2
29839588
1
HS.525392


Map kinase phosphatase-like protein MK-STYX
29840801
1
HS.11615


Putative Polycomb group protein ASXL1
30172872
1
HS.374043


GDNF family receptor alpha 4 precursor
30173123
1
HS.302025


Glucosamine--fructose-6-phosphate aminotransferase
30923274
1
HS.468864


[isomerizing] 1


Programmed cell death 6-interacting protein
31076831
1
HS.475896


Egl nine homolog 3
32129515
1
HS.135507


ADAMTS-9 precursor
32130427
1
HS.476604


Myosin Id
32172416
1
HS.462777


GRIP and coiled-coil domain-containing protein 2
32469733
1
HS.436505


Dedicator of cytokinesis protein 3
32469734
1
HS.476284


Transcription elongation factor B polypeptide 1
32699511
1
HS.546305


Early endosome antigen 1
34222508
1
HS.506309


X-linked interleukin-1 receptor accessory protein-like 1
34222654
1
HS.495893


precursor


HLA class I histocompatibility antigen, A-3 alpha chain
34223717
1
HS.181244


precursor


Zinc finger protein 430
34925658
1
HS.466289


Heat shock 70 kDa protein 6
34978357
1
HS.3268


Sphingosine-1-phosphate lyase 1
37999486
1
HS.499984


Proteasome subunit alpha type 5
38258905
1
HS.485246


Zinc finger protein 397
38258943
1
HS.464896


Unc-112 related protein 2
41018464
1
HS.180535


Piccolo protein
41019528
1
HS.12376, HS.455230


Cohen syndrome protein 1
42558898
1
HS.191540


Liprin-alpha 1
42558969
1
HS.530749


Hornerin
45476906
1


Zinc finger protein ZFPM2
45476962
1
HS.431009


Eukaryotic initiation factor 4A-II
45645183
1
HS.478553


Protein MICAL-2
46396148
1
HS.501928


Low-density lipoprotein receptor-related protein 10
46396347
1
HS.525232


precursor


Periphilin 1
46396942
1
HS.444157


Vesicle trafficking protein SEC22b
46397702
1
HS.534212


Ras-related protein Rab-10
46577638
1


Ubiquitin-conjugating enzyme E2 D3
46577654
1
HS.518773, HS.472031


Ras-related protein Rab-25
46577696
1
HS.491308


Galectin-3 binding protein precursor
47115668
1
HS.514535


Tubulin tyrosine ligase-like protein 2
47117620
1


Actin-like protein 2
47117648
1
HS.393201


40S ribosomal protein S3a
47117764
1
HS.356572


Nuclear receptor corepressor 1
47117817
1
HS.462323, HS.307


Dynamin-2
47117856
1
HS.211463


Histone H2A.q
47117890
1


Transforming protein RhoA
47606458
1
HS.247077


Scavenger receptor class F member 2 precursor
47606791
1
HS.474251


Defender against cell death 1
48428858
1
HS.82890


Signal transducer and activator of transcription 3
48429227
1
HS.463059


Pantophysin
48474786
1
HS.80919


Serine/threonine protein phosphatase PP1-beta
49065814
1
HS.468018


catalytic subunit


40S ribosomal protein S7
49065831
1
HS.546287, HS.534





HS.33348


Inositol hexaphosphate kinase 1
50400597
1
HS.438691


Ninein
50400772
1
HS.310429


Potassium channel tetramerisation domain containing
50401124
1
HS.109438


protein 12


Signal-induced proliferation-associated 1 like protein 1
50401319
1
HS.208846


Signal-induced proliferation-associated 1 like protein 2
50401690
1
HS.268774


Ras-related protein Rab-11A
50402542
1
HS.321541


40S ribosomal protein S18
50403625
1
HS.546290


Receptor-type tyrosine-protein phosphatase S precursor
50403770
1
HS.408456


Bassoon protein
51315800
1
HS.194684


Drebrin-like protein
51316115
1


Unc-13 homolog D
51316668
1
HS.41045


ADP-ribosylation factor 6
51316984
1
HS.525330


ADP-ribosylation factor 1, ADP-ribosylation factor
51316985
1
HS.286221


3, ADP-ribosylation factor 5


Guanine nucleotide-binding protein G(I)/G(S)/G(T) beta
51317302
1
HS.430425


subunit 1


Ras-related protein Rap-1A
51338607
1
HS.190334


60S ribosomal protein L23
51338639
1
HS.406300, HS.512542


Small nuclear ribonucleoprotein Sm D2
51338666
1
HS.515472


F-box only protein 44
51338823
1
HS.519716


Histone H2B K
51701495
1
HS.437275


Zinc finger protein 237
51702202
1
HS.530988


Zinc finger protein 330
51702204
1
HS.120766


60S ribosomal protein L11
51702795
1
HS.388664


Vesicle-associated membrane protein 2
51704192
1
HS.25348


Puromycin-sensitive aminopeptidase
51704228
1
HS.443837


Interferon-induced 17 kDa protein precursor
52001470
1
HS.458485


Protein FAM49B
52782794
1
HS.492869


Kelch-like protein 17
52783052
1
HS.109212


60S ribosomal protein L38
52783779
1
HS.380953


Actin, cytoplasmic 2
54036678
1
HS.514581


Actin, alpha cardiac
54036697
1
HS.118127


Neutral alpha-glucosidase AB precursor
54037162
1
HS.76847


Eukaryotic translation initiation factor 5A
54037409
1
HS.534314


Ubiquitin-conjugating enzyme E2 L3
54039805
1
HS.108104


Annexin A7
55584155
1
HS.386434


Kin of IRRE-like protein 3 precursor
55736065
1
HS.302350


Tripartite motif protein 29
55976299
1
HS.504115


Vesicle-associated membrane protein 8
55976764
1
HS.534373


Abnormal spindle-like microcephaly-associated protein
55976785
1
HS.121028


Tubulin beta-2 chain
55977480
1
HS.433615


Tubulin alpha-3 chain
55977864
1
HS.524395


Zinc finger protein 219
55977885
1
HS.250493


Netrin-2 like protein precursor
56404431
1
HS.158336


Zinc finger protein 644
56404958
1
HS.173001


Serine/threonine-protein kinase 38-like
56749668
1


Hemoglobin gamma-2 chain
56749861
1


Keratin, type II cytoskeletal 5
56757580
1


Dynein heavy chain, cytosolic
57015308
1


Low-density lipoprotein receptor-related protein 1B
57015418
1


precursor


DNA polymerase eta
59798441
1


TBC1 domain family member 21
59798963
1


Keratin, type II cytoskeletal 6E
59803089
1


Protein C19orf10 precursor
61221730
1


Autophagy protein 7-like
62286592
1


Delta-1-pyrroline-5-carboxylate dehydrogenase,
62511241
1


Mitochondrial precursor


Interleukin enhancer-binding factor 3
62512150
1


Enoyl-CoA hydratase, mitochondrial precursor
62906863
1


ATP synthase g chain, mitochondrial
62906882
1


Keratin, type II cytoskeletal 1b
66774007
1


Thymidine phosphorylase precursor
67477361
1


Exportin-1
68052989
1


Cathepsin B precursor
68067549
1


Myosin-14
71151982
1


ATP-dependent RNA helicase A
71153504
1
















TABLE 4







Relative Abundant Proteins Downregulated in High-Grade Cervical Specimens











Number Down-


Gene/Protein Name
GI Accession
Regulated Pairs












Calmodulin-related protein NB-1
115502
7


Interleukin-1 receptor antagonist protein precursor
124312
7


Arachidonate 12-lipoxygenase, 12S-type
126400
7


Desmoplakin
12644130
7


Periplakin
14195005
7


Small proline-rich protein 3
20138065
7


Plakophilin 3
20139301
7


Keratin, type II cytoskeletal 4
20141510
7


Squamous cell carcinoma antigen 1
20141712
7


Desmoglein-3 precursor
416918
7


Involucrin
124731
6


Keratin, type II cytoskeletal 3
125098
6


Hurpin
12643252
6


Cystatin B
1706278
6


Plakophilin 1
20138951
6


Aldo-keto reductase family 1 member B10
20531983
6


Mucin 5B precursor
23821885
6


Chloride intracellular channel protein 3
46397812
6


Puromycin-sensitive aminopeptidase
51704228
6


Maspin precursor
547892
6


Junction plakoglobin
130257
5


Retinoic acid-binding protein II, cellular
132401
5


Keratin, type II cytoskeletal 6A
1346344
5


Galectin-7
1346431
5


Envoplakin
14194715
5


Fatty acid-binding protein, epidermal
232081
5


Desmoglein-1 precursor
416917
5


Desmocollin 2A/2B precursor
461968
5


Protein-glutamine gamma-glutamyltransferase K
57015359
5


Keratin, type I cytoskeletal 13
6016411
5


Ig alpha-1 chain C region
113584
4


Cystatin A
118177
4


Placental ribonuclease inhibitor
132573
4


Keratin, type II cytoskeletal 6B
1346345
4


Protein-glutamine glutamyltransferase E precursor
13638501
4


Low-density lipoprotein receptor-related protein 1 precursor
1708865
4


Squamous cell carcinoma antigen 2
1710877
4


Airway trypsin-like protease precursor
17376886
4


Sciellin
20139986
4


S100 calcium-binding protein A14
20178118
4


Tubulin alpha-6 chain
20455322
4


Antileukoproteinase 1 precursor
113636
3


Annexin A1
113944
3


Annexin A3
113954
3


Annexin A8
113967
3


Carbonyl reductase
118519
3


Ezrin
119717
3


Gelsolin precursor
121116
3


Histone H2A.g
121978, 121959,
3



12585257


Keratin, type I cytoskeletal 15
125081
3


Ig kappa chain V-III region SIE, Ig kappa chain V-III region WOL
125797, 125803
3


Phosphoglycerate mutase 1
130348
3


Fatty acid synthase
1345959
3


Breast cancer type 2 susceptibility protein
14424438
3


Ketohexokinase
1730044
3


Polymeric-immunoglobulin receptor precursor
1730570
3


Serpin B12
20140145
3


6-phosphogluconate dehydrogenase, decarboxylating
20981679
3


Leukocyte elastase inhibitor
266344
3


Long palate, lung and nasal epithelium carcinoma associated
34395685
3


protein 1 precursor


Eukaryotic initiation factor 4A-I
46397463
3


Ras-related protein Rab-2A
46577636
3


Keratin, type II cuticular HB2
48474984
3


ERO1-like protein alpha precursor
50400608
3


ADP-ribosylation factor 1, ADP-ribosylation factor 3
51316985, 47117657
3


Tubulin alpha-ubiquitous chain
55977474
3


Tubulin beta-2 chain
55977480
3





Criteria for inclusion in upregulated sample pairs HSIL/WNL (Total N = 11):


1) Cutoff values of >4 fold or >4s in total peptide ratios


2) >2.5 fold for software integration analysis (specimen pairs 48/65, 51/66, 50/80)


3) Quantitative data >1.7


Criteria for inclusion in downregulated sample pairs WNL/HSIL (Total N = 11):


1) Cutoff values of >4 fold or >4s in total peptide ratios


Table 1: Selected proteins with significant biological interest upregulated in 3+ specimen pairs


Table 2: Relative abundant proteins upregulated in 3+ specimen pairs


Table 3: Lower probability proteins upregulated in 1 or 2 specimen pairs


Table 4: Relative abundant proteins downregulated in 3+ specimen pairs






REFERENCES



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While the present invention has been described in conjunction with a preferred embodiment, one of ordinary skill, after reading the foregoing specification, will be able to effect various changes, substitutions of equivalents, and other alterations to the compositions and methods set forth herein. It is therefore intended that the protection granted by Letters Patent hereon be limited only by the definitions contained in the appended claims and equivalents thereof.

Claims
  • 1. A method for assessing the presence of a cervical dysplastic lesion in a human subject, said method comprising comparing: the level of abundance, in a sample from said subject, of at least one marker selected from the group consisting of the markers listed in Tables 1-4; andthe normal level of abundance of said at least one marker in a control sample,wherein a significantly higher level of abundance of said at least one marker in said sample from said subject compared to the level of abundance of said at least one marker in said control sample is an indication of the presence of a cervical dysplastic lesion in said subject.
  • 2. The method of claim 1, wherein said significantly higher level of abundance is three or more times the abundance level of said at least one marker in said control sample.
  • 3. The method of claim 1, wherein the level of abundance of said at least one marker is determined by detecting the amount of marker protein present in the sample.
  • 4. The method of claim 1, wherein the level of abundance of said at least one marker is determined using an assay selected from the group consisting of an antibody based assay, a protein array assay and a mass spectrometry based assay.
  • 5. The method of claim 1, wherein said control sample level of abundance of said at least one marker is determined from a standard table or curve.
  • 6. The method of claim 1, wherein the level of abundance of said at least one marker is determined by detecting the amount of mRNA that encodes a marker protein present in the sample.
  • 7. The method of claim 1, wherein said at least one marker is a plurality of markers.
  • 8. The method of claim 7, wherein said plurality of markers is greater than three.
  • 9. The method of claim 7, wherein said plurality of markers is greater than five.
  • 10. A method of selecting a composition for inhibiting cervical dysplasia in a patient, the method comprising the steps of: a) obtaining a sample comprising cervical dysplastic cells from a patient;b) separately exposing a plurality of specimens from said sample to a plurality of test compositions;c) following said exposing steps, comparing the relative level of abundance of a plurality of markers in each specimen of said sample, wherein at least two of the markers are selected from the group consisting of markers listed in Tables 1-4; andd) selecting at least one of the test compositions that modifies the relative level of abundance of the plurality of markers in the aliquot exposed to that test composition, compared to the other test compositions, as said composition for inhibiting cervical dysplasia in said patient.
  • 11. A kit for assessing the presence of a cervical dysplastic lesion in a human subject, the kit comprising reagents for carrying out the method of claim 1.
  • 12. A kit for assessing the presence of a cervical dysplastic lesion in a human subject, the kit comprising a plurality of antibodies, wherein at least two of the antibodies specifically bind with proteins corresponding to at least two markers selected from the group consisting of markers listed in Tables 1-4.
  • 13. A kit for assessing the suitability of one or more test compounds for inhibiting cervical dysplasia in a patient, the kit comprising: a) one or more test compounds; and b) a reagent for assessing the relative level of abundance of a plurality of markers, wherein at least two of the markers are selected from the group consisting of markers listed in Tables 1-4.
  • 14. A method for assessing the presence of a cervical dysplastic lesion in a human subject, said method comprising the steps of: a) identifying a human subject to be screened for a cervical dysplastic lesion;b) providing a cervical sample from said subject;c) determining the level of abundance in said subject sample of at least one marker selected from the group consisting of the markers listed in Tables 1-4;d) determining the level of abundance of said at least one marker in a control sample; ande) comparing the level of abundance of said at least one marker in the subject sample to the level of abundance of said at least one marker in the control sample,wherein a significantly higher level of abundance of said at least one marker in said subject sample compared to the level of abundance of said at least one marker in said control sample is an indication of the presence of a cervical dysplastic lesion in said subject.
CROSS REFERENCE TO RELATED APPLICATIONS

This application claims the priority of U.S. Provisional Application No. 60/780,983, filed Mar. 10, 2006, entitled, PROTEOMIC METHODS FOR THE IDENTIFICATION AND USE OF PUTATIVE BIOMARKERS ASSOCIATED WITH THE DYSPLASTIC STATE IN CERVICAL CELLS OR OTHER CELL TYPES, the whole of which is hereby incorporated by reference herein.

PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/US2007/006176 3/12/2007 WO 00 2/23/2009
Provisional Applications (1)
Number Date Country
60780983 Mar 2006 US