This invention is related to the area of cancer. In particular, it relates to cancer diagnosis, prognosis, therapeutics, and monitoring.
Cancers arise through the sequential alteration of genes that control cell growth. In solid tumors such as those of the colon or breast, it has been shown that, on average, approximately 80 genes harbor subtle mutations that are present in virtually every tumor cell but are not present in normal cells1. These somatic mutations thereby have the potential to serve as highly specific biomarkers. They are, in theory, much more specific indicators of neoplasia than any other biomarker yet described. One challenge for modern cancer research is therefore to exploit somatic mutations as tools to improve the detection of disease and, ultimately, to positively affect individual outcomes.
Tumor cells can often be found in the circulation of individuals with advanced cancers2,3. It has been shown that tumor-derived mutant DNA can also be detected in the cell-free fraction of the blood of people with cancer4-6. Most of this mutant DNA is not derived from circulating tumor cells4-6 and, in light of the specificity of mutations, raises the possibility that the circulating mutant DNA fragments themselves can be used to track disease. However, the reliable detection of such mutant DNA fragments is challenging7. In particular, the circulating mutant DNA represents only a tiny fraction of the total circulating DNA, sometimes less than 0.01%8.
In the current study, we developed modifications of a technique called BEAMing (Beads, Emulsion, Amplification and Magnetics)8,9 to quantify ctDNA in serially collected plasma samples from subjects with colorectal cancers. We were interested in determining whether such measurements provided information about the dynamics of tumor burden in these subjects during the course of their disease.
There is a continuing need in the art for ways to better determine which patients will experience relapses of their cancer and which will not.
According to one embodiment of the invention, a method is provided to monitor tumor burden. Number of copies of DNA fragments in a test sample of a cancer patient is measured. The DNA fragments have a mutation that is present in tumor tissue of the patient but not in normal tissue of the patient. The number of copies is an index of the tumor burden in the patient.
According to another embodiment, a method is provided for performing DNA analysis. The following steps are involved:
These and other embodiments which will be apparent to those of skill in the art upon reading the specification provide the art with methods which are useful for cancer patient management and monitoring.
Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the United States. CRC can generally be cured by surgical excision if detected at any stage prior to distant metastasis to the liver and other organs. Unfortunately, about 35% of patients have such distant metastases, either occult or detectable, at the time of diagnosis, accounting for virtually all the deaths from the disease. The value of screening tests for colorectal neoplasia, particularly colonoscopy, has been highlighted in a variety of public awareness campaigns in the last several years. This has likely contributed to the decline in CRC-related deaths, but the large number of individuals still being diagnosed with surgically incurable cancers attests to the fact that current efforts in this regard are inadequate. In particular, there is an urgent need for non-invasive tests that can complement colonoscopy and other invasive procedures and that can be offered to patients who are hesitant to undergo such inconvenient and invasive procedures. This need has stimulated the development of new tests for early detection, including virtual colonoscopy, improved assays for the presence of blood in stool, immunohistologic tests for cancer cells or proteins in stool, and DNA-based tests for genetic or epigenetic alterations (Ouyang D L, Chen J J, Getzenberg R H, Schoen R E. Noninvasive testing for colorectal cancer: a review. Am J Gastroenterol 2005; 100:1393-403.).
Mutant DNA molecules offer unique advantages over cancer-associated biomarkers because they are so specific. Though mutations occur in individual normal cells at a low rate (˜10−9 to 10−10 mutations/bp/generation), such mutations represent such a tiny fraction of the total normal DNA that they are orders of magnitude below the detection limit of any test that has yet been described (including the one used in the current study). There is only one circumstance when a specific somatic mutation is present in an appreciable amount in any clinical sample: when it occurs in clonal fashion, i.e., when the mutation is present in all cells of a specific population, thereby defining a neoplastic lesion.
Several studies have shown that mutant DNA can be detected in stool, urine, and blood of CRC patients (Osborn N K, Ahlquist D A. Stool screening for colorectal cancer: molecular approaches. Gastroenterology 2005; 128:192-206). Moreover, technical factors that have limited the sensitivity of such assays are gradually being overcome. For example, improvements for stool-based testing include DNA stabilization after defecation (Olson J, Whitney D H, Durkee K, Shuber A P. DNA stabilization is critical for maximizing performance of fecal DNA-based colorectal cancer tests. Diagn Mol Pathol 2005; 14:183-91.), removal of PCR inhibitors and bacterial DNA, cost-effective purification of sufficient amounts of human DNA for analysis (Whitney D, Skoletsky J, Moore K, Boynton K, Kann L, Brand R, Syngal S, Lawson M, Shuber A. Enhanced retrieval of DNA from human fecal samples results in improved performance of colorectal cancer screening test. J Mol Diagn 2004; 6:386-95) and the continuing delineation of mutant genes that can be assessed (Kann L, Han J, Ahlquist D, Levin T, Rex D, Whitney D, Markowitz S, Shuber A. Improved marker combination for detection of de novo genetic variation and aberrant DNA in colorectal neoplasia. Clin Chem 2006; 52:2299-302.). Moreover, assays for detecting mutations have been developed that query each template molecule individually, dramatically increasing the signal to noise ratio. Such “digital” assays are particularly well-suited for the analysis of DNA in clinical samples such as stool or plasma because the mutant DNA fragments in such samples are greatly outnumbered by normal DNA fragments.
The inventors have developed methods for monitoring tumor burden in cancer patients. By detection of circulating tumor DNA in the patient, predictions regarding tumor recurrence can be made. Based on the predictions, treatment and surveillance decisions can be made. For example, circulating tumor DNA which indicates a future recurrence, can lead to additional or more aggressive therapies as well as additional or more sophisticated imaging and monitoring. Circulating DNA refers to DNA that is ectopic to a tumor.
Samples which can be monitored for “circulating” tumor DNA include blood and stool. Blood samples may be for example a fraction of blood, such as serum or plasma. Similarly stool can be fractionated to purify DNA from other components. Tumor samples are used to identify a somatically mutated gene in the tumor that can be used as a marker of tumor in other locations in the body. Thus, as an example, a particular somatic mutation in a tumor can be identified by any standard means known in the art. Typical means include direct sequencing of tumor DNA, using allele-specific probes, allele-specific amplification, primer extension, etc. Once the somatic mutation is identified, it can be used in other compartments of the body to distinguish tumor derived DNA from DNA derived from other cells of the body. Somatic mutations are confirmed by determining that they do not occur in normal tissues of the body of the same patient. Types of tumors which can be monitored in this fashion are virtually unlimited. Any tumor which sheds cells and/or DNA into the blood or stool or other bodily fluid can be used. Such tumors include, in addition to colorectal tumors, tumors of the breast, lung, kidney, liver, pancreas, stomach, brain, head and neck, lymphatics, ovaries, uterus, bone, blood, etc.
Total DNA in a test sample can be determined by any means known in the art. There are many means for measuring total DNA. As detailed below, one method that can be used is a real-time PCR assay. Any gene or set of genes can be amplified. The LINE-I gene family was employed because it is highly repeated and therefore requires a small sample to measure. The total DNA is measured so that measurements of tumor DNA collected at different times from a patient can be normalized. While genome equivalents can be used as a unit to express the total DNA content, other units of measurement can be used without limitation.
Because the amount of ectopic tumor DNA in a sample is very small, a highly sensitive means of measurement is desired. The measurement means described in detail below employs amplification on beads in an emulsion. The measurement means, called BEAMing, can detect mutations in stool and plasma DNA from patients with colorectal cancers (
The sequence that is identified as somatically mutated in the tumor DNA of the patient is specifically determined in the ectopic body sample. Similarly, the corresponding sequence that is found in the patient's other body samples is also specifically determined. Thus, for example, if a tumor mutation at nucleotide X of gene ABC is a G nucleotide in the tumor and a T nucleotide in other body tissues, then both the G and the T versions of nucleotide X of gene ABC can be specifically measured and quantified in the ectopic body sample. One means of assessing these is with allele-specific hybridization probes. Other techniques which achieve sufficient sensitivity can be used.
Calculation of the number of mutant sequences (or the ratio of mutant to not-mutant sequences) can optionally be normalized to the total DNA content, e.g., genome equivalents. The tumor burden index reflects the number of mutant (tumor) DNA molecules present in a test sample. The number of non-mutant DNA molecules in a sample may be included in the calculation of the tumor burden index to form a ratio. The normalization and/or ratio can be calculated by special purpose computer or general purpose computer or by human. The ratio can be recorded on paper, magnetic storage medium, or other data storage means. The normalized value is a data point to assess tumor burden in the whole individual. Additional assessments at different time points can optionally be made to obtain an indication of increase, decrease, or stability. The time points can be made in connection with surgery, chemotherapy, radiotherapy, or other form of therapy.
After tumor resection, if complete, a drastic decrease in tumor burden will be observed. However, if residual tumor remains, the tumor burden index will still be high or detectable. Because the half-life of ectopic DNA such as in the blood is fairly short, one can quickly assess surgical results using this technique. Incomplete resection can be detected in this means after 2 hours, 4 hours, 8 hours, 12 hours, 16 hours, 24 hours, 2 days, 3 days, 5 days, 7 days, 14 days, 21 days, 28 days, 56 days, etc. Incomplete tumor resection may lead to increased monitoring, additional surgery, additional chemotherapy, additional radiation, or combinations of therapeutic modalities. Additional therapies may include increased dosage, frequency, or other measure of aggressiveness.
Genes in which mutations can be identified are any which are subject to somatic mutation in a patient's tumor. For ease of assay development, genes which are frequently subject to such mutations may be used. These include genes which are tumor suppressors or oncogenes, genes involved in cell cycle, and the like. Some commonly mutated genes in cancers which may be used are APC, KRAS, TP53, and PIK3CA. This list is not exclusive.
While any means of detection of mutations can be used, hybridization to allele-specific nucleic acid probes has been found to be effective. Prior to hybridization, double stranded hybridization reagents are typically heated to denature or separate the two strands, making them accessible to and available for hybridization to other partners. Slow cooling, i.e., at least as slow as 1 degree C. per second, at least as slow as 0.5 degree C. per second, at least as slow as 0.25 degree C. per second, at least as slow as 0.1 degree C. per second, or at least as slow as 0.05 degree C. per second, has been found useful. In addition, the presence of the reagent tetramethyl ammonium chloride (TMAC), has also been found to be useful, especially when one of the hybridization partners is attached to a bead.
Our results show that ctDNA is a promising biomarker for following the course of therapy in patients with metastatic colorectal cancer. ctDNA was detectable in all subjects before surgery, and serial blood sampling revealed oscillations in the level of ctDNA that correlated with the extent of surgical resection. Subjects who had detectable ctDNA after surgery generally relapsed within 1 year. The ctDNA seemed to be a much more reliable and sensitive indicator than the current standard biomarker (CEA) in this cohort of subjects.
Our studies are consistent with others that have shown that ctDNA can be detected in subjects with cancer, particularly in advanced tumors6. However, most such previous studies have not used techniques sufficiently sensitive to detect the low levels of ctDNA found in many of the subjects evaluated in the current study. Moreover, one of the crucial and distinguishing features of our approach lies in the ability to precisely measure the level of ctDNA rather than to simply determine whether or not ctDNA is detectable.
The results of our study suggest that ctDNA levels reflect the total systemic tumor burden, in that ctDNA levels decreased upon complete surgery and generally increased as new lesions became apparent upon radiological examination. However, whether ctDNA levels are exactly proportional to systemic tumor burden cannot be definitively determined, because there is no independent way to measure systemic total burden at this time. Radiographs are inaccurate, because lesions that are observed upon imaging are composed of live neoplastic cells, dead neoplastic cells and varying amounts of non-neoplastic cells (stromal fibroblasts, inflammatory cells, vasculature, and the like)11. The proportion of these cell types in any lesion is unknown. Additionally, micrometastatic lesions that are smaller than a few millimeters, which in aggregate may make a large contribution to the total tumor burden, are not detectable by positron emission tomography, computed tomography or magnetic resonance imaging scans.
The approach used in our study can be considered a form of “personalized genomics.” As such, it has both advantages and disadvantages. The advantage over other biomarkers lies in its specificity, as the queried mutation should never be found in the circulation unless residual tumor cells are present somewhere in the subject's body. The disadvantage is that a marker specific for each subject must be developed. This entails the identification of mutations in the subject's tumor as a preliminary step (
In sum, we present a framework for using circulating tumor DNA as a measure of tumor dynamics. The rationale is similar to that employed in the care of patients with HIV, in whom viral nucleic acids are quantitatively assessed to monitor asymptomatic disease and used to tailor therapy to the individual's needs. We envision that ctDNA could be used to noninvasively monitor many types of cancer and, as in the treatment of individuals with HIV, help influence clinical decision-making. As sequencing technologies improve, it will become relatively simple to identify such mutations in virtually any cancer. Indeed, such diagnostic applications are one of the major goals of the Cancer Genome Atlas project.
The above disclosure generally describes the present invention. All references disclosed herein are expressly incorporated by reference. A more complete understanding can be obtained by reference to the following specific examples which are provided herein for purposes of illustration only, and are not intended to limit the scope of the invention.
Subjects and Study Design.
This study was approved by the Institutional Review Board of the Johns Hopkins Medical Institutions. Subjects were eligible if they had primary or metastatic colorectal cancer that was being treated surgically at The Johns Hopkins Sidney Kimmel Comprehensive Cancer Center. Between October 2005 and July 2006, 31 subjects diagnosed with colorectal cancer were screened during preoperative evaluation for possible surgery. Twenty-eight subjects consented for the study, but seven of these were found not to be candidates for therapy, two subjects were lost during follow-up and one subject was found to have a medical condition other than colorectal cancer, leaving eighteen participants. Each subject agreed to have ctDNA assessed in plasma samples obtained before and after surgery and during prespecified intervals during theirpost-operative course (
Isolation and Quantification of DNA from Plasma.
We drew peripheral blood into EDTA tubes (Becton Dickinson). Within one hour, we subjected the tubes to centrifugation at 820 g for 10 min. We transferred 1-ml aliquots of the plasma to 1.5-ml tubes and centrifuged at 16,000 g for 10 min to pellet any remaining cellular debris. We transferred the supernatant to fresh tubes and stored them at −80° C. We purified total genomic DNA from 2 ml of the plasma aliquots using the QIAamp MinElute virus vacuum kit (Qiagen) according to the manufacturer's instructions. We quantified the amount of total DNA isolated from plasma with a modified version of a human LINE-I quantitative real-time PCR assay, as described previously14. Details are provided in
Mutation Analysis of DNA from Tumor Tissue.
We determined the mutation status of four genes in DNA purified from paraffin-embedded tumor tissue. We cut 10-μm sections and stained them with H&E. We used laser-capture microdissection to acquire neoplastic cells from these sections. We digested the dissected material overnight with proteinase K (Invitrogen) and purified genomic DNA from it with the QIAamp Micro Kit (Qiagen). We analyzed a total of 26 PCR products by direct sequencing. Further details concerning DNA amplification and sequencing are provided in Example 6.
Mutation Analysis of DNA from Plasma.
We queried at least one mutation identified by sequencing of each subject's tumor tissue in plasma. In brief, we designed primers that could amplify the region containing the mutation for an initial amplification step with a high-fidelity DNA polymerase (New England BioLabs). We used the amplified product as a template in the subsequent BEAMing assay. The sequences of the primers and probes used for each test are listed in Example 6. The basic experimental features of BEAMing have been previously described15, and the modifications used in the current study are described in Example 6. We used the DNA purified from 2 ml plasma for each BEAMing assay. We repeated each measurement at least two times.
We used DNA purified from each subject's tumor as a positive control. We also included negative controls, performed with DNA from subjects without cancer, in each assay. Depending on the mutation being queried, the percentage of beads bound to mutant-specific probes in these negative control samples varied from 0.0061% to 0.00023%. This fraction represented sequence errors introduced by the high-fidelity DNA polymerase during the first PCR step, as explained in detail previously16. To be scored as positive in an experimental sample, the fraction of beads bound to mutant fragments had to be higher than the fraction found in the negative control, and the mean value of mutant DNA fragments per sample plus one standard deviation had to be >1.0. We analyzed bead populations generated by BEAMing at least twice for each plasma sample.
Carcinoembryonic Antigen Measurement.
We analyzed CEA abundance by a two-step chemiluminescent microparticle immunoassay with the Abbott ARCHITECT i2000 instrument (Abbott Laboratories) at the Johns Hopkins Medical Institutions Clinical Chemistry Research Laboratory.
Statistical Analyses.
We quantified post-operative changes in ctDNA as a mean percentage decrease after surgery, with its standard error. We compared relative changes in CEA to tDNA values with Student's unpaired t-test. We assessed changes from baseline with a one-sample t-test. The correlation between CEA and ctDNA levels was calculated with partial residuals from linear regression, taking into account within-patient clustering. Recurrence was defined on the basis of radiographic and clinical findings. We calculated all confidence intervals at the 95% level. We performed computations were performed using JMP 6.0 software (SAS Institute) and SigmaPlot 10.0.1 (Systat Software).
Measurement of ctDNA
Quantification of circulating mutant ctDNA by BEAMing represents a personalized approach for assessing disease in subjects with cancer. The first step in this process is the identification of a somatic mutation in the subject's tumor (
The second step in the process is the estimation of the total number of DNA fragments in the plasma by real-time PCR (
The third and final step is the determination of the fraction of DNA fragments of a given gene that contains the queried mutation. Such mutant DNA fragments are expected to represent only a small fraction of the total DNA fragments in the circulation. To achieve the sensitivity required for detection of such rare tumor-derived DNA fragments, we developed an improved version of BEAMing (detailed in Example 6). These improvements achieved high signal-to-noise ratios and permitted detection of many different mutations via simple hybridization probes under identical conditions. We attempted to design 28 assays, at least one for each of the 18 subjects, and were successful in every case. The median percentage of mutant DNA fragments in the 95 positive samples evaluated in this study was 0.18% (range between 10th and 90th percentiles, 0.005-11.7%). Examples of typical assays from plasma serially collected from a representative subject are shown in
Multiplying the total number of DNA fragments of a gene in the analyzed volume of plasma (as determined by real-time PCR) by the fraction of mutant fragments (as determined by BEAMing) yields the number of mutant fragments (ctDNA number) in that volume of plasma (
The accuracy of these assays was assessed by measurements of the number of mutant DNA fragments derived from two different genes in the same subject. We were able to assay mutations in two different genes in 43 samples derived from nine study subjects. The ctDNA levels corresponding to the two mutant genes were found to be remarkably similar (correlation coefficient R2=0.95,
ctDNA Dynamics in Subjects with Cancer Undergoing Therapy
We evaluated 18 subjects after a total of 22 surgeries during the course of this study (
In the five cases with incomplete resections, the change in ctDNA was quite different. In two of these cases, the number of mutant fragments decreased only slightly at 24 h (55-56%), whereas in the other three cases, the number actually increased (141%, 329% and 794%). This increase was perhaps due to injury of remnant tumor tissue during the surgical procedure, with subsequent release of DNA. Surgically induced tissue injury is consistent with the observation that the total amount of DNA in the plasma (mutant plus normal) increased immediately after surgery in all subjects (
Though the amount of ctDNA generally decreased after surgery, it did not decrease to undetectable levels in most cases. Plasma samples were available from the first follow-up visit, 13-56 d after surgery, in 20 instances. ctDNA was still detectable in 16 of these 20 instances, and recurrences occurred in all but one of these 16 (
Representative time courses of ctDNA along with clinical and radiologic data on two subjects are provided in
Eleven of the subjects in our cohort received chemotherapy during the course of the study. In three of these subjects, ctDNA levels declined during the treatment. An example is provided by subject 8: ctDNA decreased by more than 99.9%, whereas tumor volume (composed of live and dead neoplastic cells in addition to stromal cells) decreased only slightly (
Comparison with Carcinoembryonic Antigen
Carcinoembryonic antigen (CEA) is the standard biomarker for following disease in subjects with colorectal cancer and is routinely used in the management of the disease 1°. Only ten of the eighteen subjects had CEA levels >5 ng ml−1 (the boundary of the normal range) before study entry. (
For this study, specimens from subjects with colorectal cancer who had been acquired through a previous study were evaluated7. Subjects were at average risk for CRC as determined by family history and had no personal history of any type of cancer. Patients with non-specific abdominal symptoms or a history of basal cell or squamous cell carcinoma of the skin were not excluded. Stool and blood specimens were collected 6-12 days post-colonoscopy and prior to any bowel preparation for subsequent surgery. This study included 25 of the 40 previously identified cancer cases7 as 15 cases had inadequate amounts of residual material available. Patient characteristics are summarized in Table 1: Seven of the patients had stage I carcinomas, seven had stage II, eight had stage III, two had stage IV and one was of unspecified stage. The blood samples were drawn in BD Vacutainer tubes with EDTA (Becton Dickinson, Franklin Lakes, N.J. USA) from 16 of the 25 patients. Plasma was prepared by centrifugation of blood at 1380 g for 30 min. The supernatant was transferred to a fresh tube and re-centrifuged. After centrifugation, the plasma was transferred to a Millipore Ultrafree-MC 0.45 micron filter device (Millipore, Billerica, Mass., USA) to remove remaining cellular debris. The filter device was subjected to centrifugation at 1380 g for 15 min. The cleared plasma was transferred to a new tube and stored at −20° C. until processed.
Tissues obtained upon surgical resection were used for mutation analysis, as reported previously5 Briefly, snap-frozen or paraffin-embedded microdissected tumor tissue was used for the isolation of tumor DNA using the QIAamp DNA mini kit (Qiagen, Valencia, Calif.). All DNA samples were analyzed for 22 common mutations in APC, TP53, and KRAS using a single base extension (SBE) assay and a sequencing approach for exon 9 and 20 of PIK3CA, exon 3 of CTNNBJ, and exon 15 of APC. The sequencing was performed by using single-stranded DNA templates in four separate sequencing reactions, each containing a R1 10 labeled AcyloTerminator nucleotide (PerkinElmer) and a mixture of ThermoSequenase (GE) and AcycloPol (PerkinElmer). Combined, the two marker panels were able to identify at least one mutation in the 24 tumor samples available for this study (Table 2). The sensitivity of SBE and sequencing was 75% (18/24) and 79% (19/24), respectively (
Human DNA enriched for the target genes (APC, TP53, KRAS, and PIK3CA) was purified from total stool DNA using a Reversible Electrophoretic Capture Affinity Protocol (RECAP) 8.
The copy number of gene fragments recovered from each stool sample was quantified using an iCycler™ IQ real-time PCR detection system (Biorad, Hercules, Calif., USA). Duplicate reactions (50 μl) consisted of 5 μl of DNA, IQx PCR buffer (Takara Bio; Madison, Wis., USA), 0.2 mM dNTPs (Promega, Madison, Wis., USA), 0.5 μM of sequence-specific primers (sequences available upon request) and 2.5 U LATaq DNA polymerase (Takara Mirus Bio, Madison, Wis., USA). The PCR parameters were 95° C. for 3.5 min for denaturation followed by 40 cycles of 95° C. for 1 min, 55° C. for 1 min, and 72° C. for 1 min.
DNA was purified from 2 ml plasma using the QIAamp MinElute Virus Vacuum Kit (Qiagen) as recommended by the manufacturer. The DNA was eluted in EB buffer (Qiagen), and stored at −20° C. The amount of total DNA isolated from plasma was quantified using a modified version of a human LINE-I quantitative real-time PCR assay, as described previously 9. Details are provided in Example 6.
Plasma and stool DNA was analyzed for somatic mutations by BEAMing. In total, 18 amplification primer sets were designed for the analysis of 33 different mutations. For each stool sample, a total of 30,000 genome equivalents were analyzed. One genome equivalent was defined as 3.3 pg of genomic DNA and is equivalent to the DNA amount present in a haploid cell. A volume corresponding to the DNA purified from 2 ml of plasma was used for each BEAMing assay. The initial amplification was performed in multiples of 50 μl PCR reactions, each containing template DNA equivalent to 250 μl of plasma or 3,750 genome equivalents of stool DNA. Each reaction consisted of 5× Phusion high fidelity buffer, 1.5 U of Hotstart Phusion polymerase (both NEB), 0.2 μM of each primer, 0.25 mM of each dNTP, and 0.5 mM MgCb. Nested PCR reactions were performed for selected target regions; for the second amplification, 2 μl of the first PCR was added to a 20-μl PCR reaction of the same makeup as described above except that different primers were used. Primer sequences and cycling conditions are listed in
A LSR II flow cytometry system (BD Bioscience) equipped with a high throughput autosampler was used for the analysis of each bead population. On average, 5×106 beads were analyzed for each plasma sample. The flow cytometric data was gated so that only single beads with extension products (as indicated by the control probe) were used for analysis. The mutation frequency was calculated as the number of gated beads attached to mutant sequences divided by the number of beads containing either mutant or wild-type sequences. In order for an assay to be scored as positive, it had to meet two criteria. First, the fraction of mutant beads had to be higher than the background emanating from polymerase errors arising during amplification. We used a Poison distribution to estimate the expected variation in the background observed with DNA templates derived from normal lymphocyte DNA. A “positive” assay was scored as one in which the fraction was higher than 0.01%. The second criterion was that the calculated number of mutant sequences in the templates used for analysis had to be 2:1. For example, if in a sample, only 1,000 genomic equivalents were analyzed, yet the calculated fraction of beads bound to mutant sequences was 0.05% (1 in 2,000), this sample was scored as negative as the number of mutant template molecules was only 0.5 (0.05%×1,000), which is less than 1.
We assessed the performance of BEAMing for the detection of 33 different base changes in either APC (20), KRAS (4), PIK3CA (4), or TP53 (5). The BEAMing procedure was performed as described previously with the important exception that an allele-specific hybridization (ASH) approach was developed for the analysis of bead-bound DNA (
An example of ASH applied to beads generated by BEAMing is shown in
Quantity and Quality of the DNA Purified from Stool
Because BEAMing cannot only be used to detect mutant DNA templates but also to precisely quantify their abundance, it could be used to determine both the quantity and quality of cell-free mutant and normal DNA present in the stool of CRC patients. We therefore began the current study by analyzing the sizes of the mutant DNA fragments present in the stool of CRC patients. For this purpose, six PCR primer sets were designed for the amplification of DNA fragments that encompassed different APC mutations found in four patients with localized colorectal cancers. Two of the patients harbored Stage I and two harbored Stage II cancer (
The clinicopathological characteristics of the 25 patients included in this study are summarized in Table 1.
Tumors ranged in size from 12-80 mm with a mean size of 41 mm (median 40 mm). Fourteen (56%) patients were early stage (Stage I or II), 10 (40%) were late stage (Stage III or IV), and one patient was of unknown stage. As outlined in the above, of the 24 patients were tumor tissue had been available, all had at least one mutation in the primary tumor (
Forty-five BEAMing assays were performed to assess the 33 different mutations in these samples (13 patients had at least one mutation found in another patient; Table 2). Of the 25 patients, 23 (92%, CI: 74%, 99%) had detectable levels of mutant DNA in their stool samples. Mutations were detected as readily in patients with early stage colorectal cancers (Stages I and II) as in patients with late stage cancers (Stages III and IV) (
The median fraction of mutant DNA present in stool samples was 0.32% but varied widely (range 0.0062% to 21.1%; Table 2). Table 2:
1Histology type, Well: well differentiated adenocarcinoma: Mod.: moderately differentiated adenocarcinoma; Poor: Poorly differentiated adenocarcinoma.
2Location: R.: Rectum; Sig.: sigmoid colon; C.: cecum; Tr.: transverse colon; As.: ascending colon; Rs.: Rectosigmoid, Sf.: Splenic flexure
3G35X means G35A, G35C, or G35T (specific base chanQe not determined
In most cases where two mutations could be assessed in the same stool sample, the fraction of mutant DNA molecules was similar. However, in four cases (patients 7, 8, 20 and 25) there was more than a 5-fold difference in the fraction of mutant DNA fragments from one gene compared to those in another gene.
Another important observation was that the median fraction of mutant DNA fragments in stool samples did not vary significantly across the stage of the patient's tumor: 0.83%, 0.31%, 0.20%, and 0.62% for Stage I, II, III, and IV, respectively (
Finally, it was of interest to compare the results of BEAMing assays in these stool samples with those obtained previously using a modified sequencing approach5 and single base extension (SBE) 7 (
Sixteen pairs of matched samples of blood and plasma were available for analysis. For each sample, one of the mutations found in the patients' tumor was selected for analysis. As noted in Table 2, 14 of these 16 (87.5%) patients' stool samples contained mutations at detectable levels. Mutant DNA fragments were found in a smaller proportion of the plasma samples (8 of 16 [50%]; p-value for difference between the number of patients positive in the plasma and stool assays was 0.07 by the exact McNemar's test). There was only one patient that was negative for both tests (patient 5) and one patient with a negative stool test but a positive plasma test (patient 16). In patients that scored positive, the median fraction of mutant DNA was similar in stool (0.37%) and plasma (0.42%).
Though many previous studies have reported the presence of mutations in fecal DNA, this is the first to analyze them in a highly sensitive and quantitative manner. Similarly, other publications have reported the identification of genetic alterations in plasma or serum, but none have compared the results obtained with circulating DNA to those obtained with fecal DNA using identical techniques. The comparisons and quantifications reported here are important for guiding the development of sensitive and specific non-invasive screening tests for colorectal tumors in the future.
The quantitative analysis of fecal DNA highlighted several issues that are important for further research in this area. First, the highest sensitivities were realized when the amplicons were small, optimally less than 100 bp (
Second, the results make it clear that a minimum number of DNA template molecules must be obtained to realize the sensitivity afforded by BEAMing. The sensitivity of BEAMing for any of the analyzed mutations is such that at least one mutant template can be detected among 10,000 normal templates (0.01%). For some mutations, the sensitivity is as high as one mutant template among 800,000 normal templates (0.0013%). The sensitivity is only limited by the error rate of the polymerase used in the initial amplification12. Utilization of this high technical sensitivity in practice, however, requires an adequate number of DNA templates. For example, if only 2,000 templates molecules are used per assay, then the maximum sensitivity that can be achieved is 0.05% rather than 0.01%. Obtaining this number of templates is not problematic with stool samples, but is often problematic for plasma. In the current study, 2 ml of plasma contained a median of 4,590 genome equivalents of DNA. This may be why the plasma-based assay was less sensitive (60%) than the stool-based assay (88%) in the same patients. To routinely obtain 30,000 genome equivalents from plasma (the number employed for the stool-based tests), 50 ml of blood would be necessary. Though this may be feasible in future prospective studies, it is unlikely to be available in retrospective studies such as ours.
Though stool provides a nearly limitless supply of DNA, there are other technical issues that affect the assay results. For example, stool contains a variety of PCR-inhibitors and a large excess of bacterial DNA, necessitating sequence-specific capture of human genomic DNA. Cost-effective methods for such capture have been developed and were used in the current study. However, they have not yet been optimized for the isolation of small DNA fragments that contain the mutations of interest. As shown in
The new results also inform discussion of the relative advantages and disadvantages of stool vs. plasma analysis for early detection. As noted above, it is easier to obtain sufficient amounts of DNA from stool than from plasma. However, plasma is more convenient to collect from a practical standpoint, as it can be obtained during routine office visits, and it is easier to purify DNA from plasma than from stool. The sensitivity of detecting mutations in plasma from colorectal cancer patients (50%) is less than that in stool, but this could perhaps be increased by using more plasma in each assay. Perhaps the greatest advantage of stool versus plasma, however, is in the relative fractions of mutations observed in the feces of patients with different stage tumors. As shown in
Though our study represents a step towards clinical implementation of a new, more sensitive and quantitative assay than currently available commercially, several additional steps will be necessary to realize this goal. In addition to clinical studies employing large numbers of patients with varying stage colorectal tumors and equally large numbers of controls, there are still technical issues to be overcome. In particular, cost-effective methods for querying a panel of genetic markers with BEAMing must be developed. In this regard, it is notable that mutations in all 25 patients in the current study were revealed by the study of a relatively small number of common mutations. We envision that nearly 86% of patients with either colorectal cancer or large adenomas would harbor at least one of the 100 most common mutations. Implementation of such an assay would include parallel capture of 10 exons and the subsequent multiplex PCR amplification of these DNA fragments. The newly described hybridization-based approach for mutation detection has also an advantage in that it can be easily automated. Next generation sequencing has the potential to further simplify the approach; the beads obtained by BEAMing can be analyzed by sequencing rather than by flow cytometry16. Additionally, the mutation marker panel could be reduced in size by including epigenetic markers17. Indeed, the lessons learned from the current study could be applied to optimize quantitative assays for methylation-based BEAMing or for any other tests for tumor-specific DNA variations that are developed in the future.
Isolation of DNA from Formalin-Fixed, Paraffin Embedded (FFPE) Tumor Tissue
Eighteen tumor specimens were collected after liver or colon surgery, fixed in formalin, and embedded in paraffin. Ten μm sections were cut and mounted on PEN-membrane slides (Palm GmbH, Bemried, Germany). The sections were deparaffinized and stained with hematoxylin and eosin. All specimens underwent histological examination to confirm the presence of tumor tissue, which was dissected from completely dried sections with a MicroBeam laser microdissection instrument (Palm). The dissected tumor tissue was digested overnight at 60° C. in 15 μl ATL buffer (Qiagen) and 10 μl Proteinase K (20 mg/ml; Invitrogen). DNA was isolated using the QIAamp DNA Micro Kit (Qiagen) following the manufacturer's protocol. The isolated DNA was quantified by hLINE-1 quantitative PCR as described below.
PCR Amplification and Direct Sequencing of DNA Isolated from Tumor Tissue
All DNA samples isolated from tumor tissue were analyzed for mutations in 26 regions of APC (19), one region of KRAS (1), two regions of PIK3CA (2), and four regions of TP53 (4) using direct Sanger sequencing. Due to degradation of DNA in FFPE tissue, the amplicon sizes were chosen to be between 74 to 132 bp in length. The first PCR was performed in a 10 μl reaction volume containing 50-100 genome equivalents (GEs) of template DNA (1 GE equals 3.3 pg of human genomic DNA), 0.5 U of Platinum Taq DNA Polymerase (Invitrogen), 1×PCR buffer (67 mM of Tris-HCl, pH 8.8, 67 mM of MgCb, 16.6 mM of (NH4)2SO4, and 10 mM of 2-mercaptoethanol), 2 mM ATP, 6% (v/v) DMSO, 1 mM of each dNTP, and 0.2 μM of each primer. The sequences of the primer sets are listed in
The amount of total DNA isolated from plasma samples was quantified using a modified version of a human LINE-I quantitative real-time PCR assay1. Three primer sets were designed to amplify differently sized regions within the most abundant consensus region of the human LINE-I family (79 bp for: 5′-agggacatggatgaaattgg; SEQ ID NO: 4. 79 bp rev: 5′-tgagaatatgcggtgtttgg; SEQ ID NO: 5; 97 bp for: 5′-tggcacatatacaccatggaa; SEQ ID NO: 6, 97 bp rev: 5′-tgagaatgatggtttccaatttc; SEQ ID NO: 7; 127 bp for: 5′-acttggaaccaacccaaatg; SEQ ID NO: 8, 127 bp rev: 5′-tcatccatgtccctacaaagg; SEQ ID NO: 9). PCR was performed in a 25 μl reaction volume consisting of template DNA equal to 2 μl of plasma, 0.5 U of Platinum Taq DNA Polymerase, 1×PCR buffer (see above), 6% (v/v) DMSO, 1 mM of each dNTP, 1:100,000 dilution of SYBR Green I (Invitrogen), and 0.2 μM of each primer. Amplification was carried out in an iCycler (Bio-Rad) using the following cycling conditions: 94° C. for 1 min; 2 cycles of 94° C. for 10 s, 67° C. for 15 s, 70° C. for 15 s; 2 cycles of 94° C. for 10 s, 64° C. for 15 s, 70° C. for 15 s, 2 cycles of 94° C. for 10 s, 61° C. for 15 s, 70° C. for 15 s; 35 cycles of 94° C. for 10 s, 59° C. for 15 s, 70° C. for 15 s. Various dilutions of normal human lymphocyte DNA were incorporated in each plate setup to serve as standards. The threshold cycle number was determined using Bio-Rad analysis software with the PCR baseline subtracted. Each quantification was done in duplicate. The total DNA was calculated using the LINE-I amplicon closest in size to the amplicon being evaluated for mutations (
Twelve different primer sets were designed for the analysis of 20 mutations (
Emulsion PCR was performed as described previously 2. Briefly, a 150 μl PCR mixture was prepared containing 18 pg template DNA, 40 U of Platinum Taq DNA polymerase (Invitrogen), 1×PCR buffer (see above), 0.2 mM dNTPs, 5 mM MgCb, 0.05 μM Tag1 (5′-tcccgcgaaattaatacgac; SEQ ID NO: 1), 8 μM Tag2 (5′-gctggagctctgcagcta; SEQ ID NO: 2) and ˜6×107 magnetic streptavidin beads (MyOne, Invitrogen) coated with Tag1 oligonucleotide (5′ dual biotin-T-Spacer18-tcccgcgaaattaatacgac; SEQ ID NO: 1). The 150 μl PCR reaction, 600 μl oil/emulsifier mix (7% ABIL WE09, 20% mineral oil, 73% Tegosoft DEC, Degussa Goldschmidt Chemical, Hopewell, Va.), and one 5 mm steel bead (Qiagen) were added to a 96 deep well plate 1.2 ml (Abgene). Emulsions were prepared by shaking the plate in a TissueLyser (Qiagen) for 10 s at 15 Hz and then 7 sat 17 Hz. Emulsions were dispensed into eight PCR wells and temperature cycled at 94° C. for 2 min; 3 cycles of 94° C. for 10 s, 68° C. for 45 s, 70° C. for 75 s; 3 cycles of 94° C. for 10 s, 65° C. for 45 s, 70° C. for 75 s, 3 cycles of 94° C. for 10 s, 62° C. for 45 s, 70° C. for 75 s; 50 cycles of 94° C. for 10 s, 59° C. for 45 s, 70° C. for 75 s.
To break the emulsions, 150 μl breaking buffer (10 mM Tris-HCl, pH 7.5, 1% Triton-X 100, 1% SDS, 100 mM NaCl, 1 mM EDTA) was added to each well and mixed with a TissueLyser at 20 Hz for 20 s. Beads were recovered by spinning the suspension at 3,200 g for 2 min and removing the oil phase. The breaking step was repeated twice. All beads from 8 wells were consolidated and washed with 150 μl wash buffer (20 mM Tris-HCl, pH 8.4, 50 mM KCl). The DNA on the beads was denatured for 5 min with 0.1 M NaOH. Finally, beads were washed with 150 μl wash buffer and resuspended in 150 μl of the same buffer.
The mutation status of DNA bound to beads was determined by allele-specific hybridization. Fluorescently labeled probes complementary to the mutant and wild-type DNA sequences were designed for 20 different mutations. The size of the probes ranged from 15 bp to 18 bp depending on the GC content of the target region. All mutant probes were synthesized with a Cy5™ fluorophore on the 5′ end and all wild-type probes were coupled to a Cy3™ fluorophore (Integrated DNA Technologies, Coralville, Iowa, or Biomers, Ulm, Germany). In addition, oligonucleotides that bound to a separate location within the amplicon were used to label every extended PCR product as a positive control. These amplicon specific probes were synthesized with a ROX™ fluorophore attached to their 5′ ends. Probe sequences are listed in
A LSR II flow cytometry system (BD Bioscience) equipped with a high throughput autosampler was used for the analysis of each bead population. An average of 5×106 beads were analyzed for each plasma sample. Beads with no extension product were excluded from the analysis. Negative controls, performed using DNA from patients without cancer, were included in each assay. Depending on the mutation being queried, the fraction of beads bound to mutant-specific probes in these negative control samples varied from 0.0061% to 0.00023%. This fraction represented sequence errors introduced by the high fidelity DNA polymerase during the first PCR step, as explained in detail previously 3. To be scored as positive in an experimental sample, (i) the fraction of beads bound to mutant fragments had to be higher than the fraction found in the negative control, and (ii) the mean value of mutant DNA fragments per sample plus one standard deviation had to be >1.0. Bead populations generated by BEAMing were analyzed at least twice for each plasma sample.
Individual Patient Summaries
Patient 1 originally underwent a low anterior resection for rectal carcinoma and was found to have multiple liver metastases with PET/CT scanning. They received post-operative with 5-fluorouracil, oxaliplatin (FOLFOX) and bevacizumab (Chemotherapy) for two cycles and repeat imaging revealed a good response. At the time of study entry, the patient underwent right hepatectomy and left lobe wedge resection and cholecystectomy (Surgery), followed by chemotherapy with 5-fluorouracil, leucovorin, oxaliplatin and bevacizumab (Chemotherapy). Repeat imaging revealed multiple new lung lesions and two new liver lesions. Various other chemotherapy regimens were utilized with continued progression of disease. The patient is currently being considered for a Phase I trial.
Patient 2 was originally diagnosed with a T3N0M0 colon adenocarcinoma and underwent a left hemicolectomy. At the time of study entry, the patient underwent a right hepatic lobectomy and partial diaphragm resection for metastatic disease (Surgery). Repeat imaging studies revealed progressive disease three months following his liver lobectomy and the patient died of disease shortly thereafter.
Patient 3 was initially found to have metastatic mucmous colon adenocarcinoma, T2N1M with a single liver metastasis who underwent a right hemicolectomy with planned liver resection (Surgery). However, the patient was found to have diffuse peritoneal implants at the time of surgery, and the liver resection was not performed. Post-operative CT scans revealed evidence of progressive disease with enlarging liver lesion and a new pulmonary nodule. The patient opted to proceed with supportive care only and died of disease approximately one year following his surgery.
Patient 4 was diagnosed with metastatic colon adenocarcinoma. At study entry, 12 months following the initial surgery, the patient received pre-operative chemotherapy with 5-fluorouracil, oxaliplatin and bevacizumab. The patient then underwent a partial hepatectomy of two liver lesions with radio-frequency ablation of the margins with pathology concurrent with recurrent metastatic adenocarcinoma (Surgery). Subsequent CT scans have revealed no evidence of disease recurrence to date.
Patient 6 originally presented with a T3N1Ml colon adenocarcinoma, and at the time of study entry underwent a right hepatectomy and right lower lobe lung wedge resection (Surgery). Follow-up CT scans revealed no evidence of disease and the patient was started on chemotherapy. Eight months later, repeat imaging then revealed a new liver metastasis. The patient then switched to irinotecan, 5-fluorouracil and bevacizumab (Chemotherapy 1), but despite four months of therapy still had persistent disease on follow-up CT scans. They were subsequently started on 5-fluorouracil, leucovorin, oxaliplatin and bevacizumab (Chemotherapy 2)
Patient 7 has a prior history of a resected T3N2M rectosigmoid adenocarcinoma. At the time of study entry, the patient underwent surgical excision of two recurrent liver lesions, and an additional 4 liver lesions were treated with radiofrequency ablation (Surgery). Post-operative imaging revealed no evidence of disease, however, imaging three months later revealed new liver disease and new lung metastases. The patient was started on irinotecan, cetuximab, and bevacizumab (Chemotherapy). Despite chemotherapy, on follow-up imaging the patient was noted to have persistent and progressing disease.
Patient 9 originally presented with a T3NIM0 colon adenocarcinoma followed by adjuvant 5-fluorouracil and leucovorin. At the time of study entry, a solitary liver lesion was noted, and the patient underwent a right hepatectomy, with pathology revealing recurrent adenocarcinoma (Surgery). The patient was given post-operative 5-fluorouracil, oxaliplatin and bevacizumab (Chemotherapy) and follow up imaging has revealed no evidence of disease recurrence, with evidence of a fully regenerated liver.
Patient 10 was originally diagnosed with metastatic colorectal adenocarcinoma to the liver and was treated with 5-fluorouracil, oxaliplatin and bevacizumab for four months (Chemotherapy). A right hepatectomy and right hemicolectomy was performed (Surgery 1). The liver resection was margin positive. Post-operative imaging revealed no evidence of disease. Repeat imaging performed three months later revealed 3 new left liver lesions and the patient subsequently underwent a left liver hepatectomy with radio-frequency ablation to the margins (Surgery 2). Post-operative imaging revealed no evidence of disease. At two months follow-up she was found to have bony metastases with a T7 compression fracture for which she underwent external beam radiation.
Patient 12 was initially diagnosed with metastatic colon adenocarcinoma. At the time of study entry, the patient underwent a repeat partial hepatectomy with radio-frequency ablation (Surgery) after achieving some stabilization of disease with 5-fluorouracil, leucovorin, and oxaliplatin (Chemotherapy). Post-operative scans revealed no evidence of disease in the liver. However, CT scan of the chest revealed numerous new pulmonary lesions and a follow up PET showed new liver lesions as well. The patient was then referred for a Phase I clinical study.
Patient 13 had a history of metastatic colon cancer resected from the sigmoid colon, liver and xiphoid process. Approximately 14 months after their original diagnosis, a CT scan revealed a 1 cm lesion in the liver, and a follow-up PET scan showed two adjacent foci of disease near the left hepatic lobe. A CT scans performed three months later showed increase in size of the hepatic lesions and a new peritoneal implant. They then underwent resection of the recurrent disease with partial hepatectomy, partial gastrectomy, and partial omentectomy (Surgery). Follow-up CT scans performed 1-year following surgery showed hepatic and omental recurrences.
Patient 14 was found to have colon adenocarcinoma on screening colonoscopy with CT scans showing no evidence of distant metastases. They underwent a sigmoid colectomy (Surgery) and pathology revealed a T3N0M0 tumor. No adjuvant chemotherapy was given and they were followed with serial CT scans. The last CT scan showed no evidence of disease.
Patient 15 had a history of a completely resected T3N1Mx cecal mass and resected umbilical recurrence. Three years after the resection of the primary tumor, a CT scan of the abdomen then revealed a solitary liver metastasis. The patient underwent a right liver hepatectomy (Surgery). A follow-up CT scans one month later showed no evidence of disease, but the patient died of disease approximately one year later from recurrent metastatic disease.
Patient 16 had a rectosigmoid mass on CT after being worked up for bright red blood per rectum, and underwent a sigmoid colectomy (Surgery). She was started on 5-fluorouracil, leucovorin and oxaliplatin, which she continued for the next five months (Chemotherapy). Follow-up CT scans following completion of therapy has shown no evidence of disease recurrence.
Patient 17 is a patient with a history of resected colorectal cancer that was found by PET CT to have an isolated liver metastasis in the right lobe. They underwent a right hepatectomy (Surgery) and received post-operative chemotherapy with 5-fluorouracil, leucovorin, oxaliplatin and avastin (Chemotherapy). She was found to have a recurrence 7 months after surgery.
Patient 18 was found to have a T3N1Mx adenocarcinoma after undergoing a low anterior resection for a rectal mass. Three years later the patient was noted to have a left hepatic lobe lesion discovered on CT scan imaging. The patient underwent a laparoscopic liver resection (Surgery). He received no additional chemotherapy and is currently disease-free.
The disclosure of each reference cited is expressly incorporated herein.
This application is a continuation of U.S. patent application Ser. No. 12/512,585 filed Jul. 30, 2009, which claims the benefit of priority to U.S. Provisional Application No. 61/085,175 filed Jul. 31, 2008, the entire contents of each of which are hereby incorporated by reference.
This invention was made with government support under grants CA043460, CA062924, CA057345 and CA121113 awarded by the National Institutes of Health. The government has certain rights in the invention.
Number | Date | Country | |
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61085175 | Jul 2008 | US |
Number | Date | Country | |
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Parent | 12512585 | Jul 2009 | US |
Child | 16721548 | US |