METHOD FOR DETERMINING SIDE EFFECTS OF TRASTUZUMAB AND KIT FOR SAME

Information

  • Patent Application
  • 20220154259
  • Publication Number
    20220154259
  • Date Filed
    March 06, 2020
    4 years ago
  • Date Published
    May 19, 2022
    2 years ago
Abstract
A side effect of trastuzumab is predicted by using a gene polymorphism associated with the side effect of trastuzumab. The genotype of a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978 is determined and a side effect from administration of trastuzumab is determined based on the genotype determined.
Description
TECHNICAL FIELD

The present invention relates to a method for determining side effects of trastuzumab and a kit for the method.


BACKGROUND ART

Trastuzumab is an anti-malignant tumor agent (trade name: Herceptin) containing a humanized monoclonal antibody targeting human epidermal growth factor receptor type 2 (HER2, also known as c-erbB-2) as a main component. HER2 is found to be overexpressed in about 25 to 30% of the patients with metastatic breast cancer. It is known that the growth of cancer cells is promoted by overexpression of HER2, and that prognosis for patients with tumors having HER2 overexpression is poor. Currently, trastuzumab can be administered to patients with breast cancer which is observed to have overexpression of HER2 or patients with unresectable and progressive/recurrent stomach cancer which is observed to have overexpression of HER2.


Examples of a side effect from administration of trastuzumab include heart disorders: heart failure (signs: e.g., dyspnea, orthopnea, cough, symptom/abnormality: e.g., S3 gallop, reduction in ejection fraction, peripheral edema), cardiogenic shock, pulmonary edema, pericardial effusion, cardiomyopathy, pericarditis, arrhythmia, and bradycardia. Accordingly, in administration of trastuzumab, the conditions of patients (including a change in left ventricular ejection fraction (LVEF)) must be closely monitored by cardiac function tests (e.g., echocardiography) depending on the expression or degree of severity of cardiac symptoms. As described, trastuzumab is known to have cardiotoxicity.


Conventionally, in view of a side effect of trastuzumab cardiotoxicity mentioned above, it has been recommended that trastuzumab is carefully administered to patients on medication of anthracycline drugs or patients with history thereof; patients receiving a radiation therapy to the chest; patients with heart failure or a history thereof; patients with declined left ventricular ejection fraction (LVEF); patients with uncontrollable arrhythmias; patients with severe valvular heart diseases; patients with coronary artery disease (e.g., myocardial infarction, angina) or a history thereof; patients with hypertension or a history thereof; patients with resting dyspnea (caused by, e.g., lung metastases, cardiovascular disease) or a history thereof; or aged individuals.


As an index for predicting a side effect before administration of trastuzumab, a gene polymorphism specified by rs139944387 present in the EYS gene is known, as disclosed in Non Patent Literature 1. According to Non Patent Literature 1, whether a side effect of trastuzumab is developed or not can be predicted by detecting a mutant of gene polymorphism specified by rs139944387 as a risk allele. In Non Patent Literature 1, case-control-related analysis of about 2000 gene mutations was conducted to specify rs139944387 associated with development of a side effect of trastuzumab from among the gene mutations.


CITATION LIST
Non Patent Literature



  • Non Patent Literature 1: Cancer Science. 2018; 109:446-452



SUMMARY OF INVENTION
Technical Problem

In investigating characteristics (phenotypes) of individuals by using gene polymorphism, use of a plurality of gene polymorphisms is sometimes better than use of a single gene polymorphism in view of improvement of accuracy. Side effects of trastuzumab can be more accurately evaluated by using a plurality of gene polymorphisms.


Accordingly, an object of the present invention is to provide a method of specifying a gene polymorphism associated with a side effect of trastuzumab and predicting the side effect of trastuzumab by using the gene polymorphism.


Solution to Problem

The present inventors conducted intensive studies with a view to attaining the above object. As a result, they found a plurality of gene polymorphisms associated with side effects of trastuzumab and accomplished the present invention. The present invention encompasses the following.


(1) A method comprising steps of: analyzing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism present in genomic DNA of a biological sample taken from a subject; determining the genotype of the gene polymorphism; and determining a side effect from administration of trastuzumab based on the determined genotype.


(2) The method according to (1), wherein the gene polymorphism specified by rs9316695 is located on a long arm of chromosome 13 (13q14.3) and is a single nucleotide polymorphism having cytosine as wild-type and adenine as mutant.


(3) The method according to (1), wherein, in the gene polymorphism specified by rs9316695, a mutant is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of wild-type homozygosity, a possibility of developing a side effect of trastuzumab is high in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.


(4) The method according to (1), wherein the gene polymorphism specified by rs11932853 is located on a long arm of chromosome 4 (4q25) and is a single nucleotide polymorphism having thymine as wild-type and cytosine as mutant.


(5) The method according to (1), wherein, in the gene polymorphism specified by rs11932853, a wild-type is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of mutant homozygosity, a possibility of developing a side effect of trastuzumab is high in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.


(6) The method according to (1), wherein the gene polymorphism specified by rs28415722 is located on a long arm of chromosome 15 (15q26.3) and is a single nucleotide polymorphism having guanine as wild-type and adenine as mutant.


(7) The method according to (1), wherein, in the gene polymorphism specified by rs28415722, a mutant is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of wild-type homozygosity, a possibility of developing a side effect of trastuzumab is low in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.


(8) The method according to (1), wherein the gene polymorphism specified by rs7406710 is located on a long arm of chromosome 17 (17q25.3) and is a single nucleotide polymorphism having cytosine as wild-type and thymine as mutant.


(9) The method according to (1), wherein, in the gene polymorphism specified by rs7406710, a wild-type is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of mutant homozygosity, a possibility of developing a side effect of trastuzumab is low in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of wild-type homozygosity.


(10) The method according to (1), wherein the gene polymorphism specified by rs8032978 is located on a long arm of chromosome 15 (15q26.3) and is a single nucleotide polymorphism having adenine as wild-type and guanine as mutant.


(11) The method according to (1), wherein, in the gene polymorphism specified by rs8032978, a mutant is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of wild-type homozygosity, a possibility of developing a side effect of trastuzumab is high in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.


(12) The method according to (1), wherein the subject is a patient with cancer which is observed to have overexpression of HER2.


(13) The method according to (12), wherein the cancer is breast cancer or stomach cancer.


(14) The method according to (1), wherein the side effect is at least one selected from heart failure, cardiogenic shock, pulmonary edema, pericardial effusion, cardiomyopathy, pericarditis, arrhythmia and bradycardia.


(15) A probe set for determining a side effect from administration of trastuzumab, comprising an oligonucleotide that hybridizes, under stringent conditions, with a region of consecutive 5 to 50 nucleotides containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism.


(16) The probe set for determining a side effect according to (15), comprising a wild-type probe corresponding to a wild-type in the gene polymorphism and a mutant probe corresponding to a mutant in the gene polymorphism.


The probe set for determining a side effect from administration of trastuzumab according to the present invention may be a kit for determining a side effect of trastuzumab, comprising primers for amplifying the region of 5 to 50 nucleotides contained in a sample. Specifically, the probe set according to the present invention may comprise primers specifically amplifying the region of consecutive 5 to 50 nucleotides containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism; and the probe set for determining a side effect that specifically hybridizes with the region amplified. The kit according to the present invention may comprise various reagents required for amplifying the above region, and/or various reagents required for specifically hybridizing the region amplified and the nucleic acid probe. The probe set for determining a side effect of trastuzumab can be immobilized to a carrier to prepare a DNA chip for determining a side effect of trastuzumab.


The present specification incorporates the disclosure of JP Patent Application No. 2019-41127A based on which the priority of the present application is claimed.


Advantageous Effect of Invention

The present invention makes it possible to highly accurately determine a side effect from administration of trastuzumab by a simple means of detecting a gene polymorphism.





BRIEF DESCRIPTION OF DRAWINGS


FIG. 1A shows a regional association plot regarding a region containing rs9316695.



FIG. 1B shows a regional association plot regarding a region containing rs28415722.



FIG. 1C shows a regional association plot regarding a region containing rs7406710.



FIG. 1D shows a regional association plot regarding a region containing rs11932853.



FIG. 1E shows a regional association plot regarding a region containing rs8032978.



FIG. 2 is a graph showing ratios of patients developing trastuzumab-induced cardiotoxicity in a group of patients having a total score of 0 to 4 and a group of patients having a total score of 5 to 8 in which the total score was obtained per patient by the predictive scoring system constructed in Example.





DESCRIPTION OF EMBODIMENTS

The present invention relates to a method for determining a side effect from administration of trastuzumab based on the genotype of a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism. Trastuzumab (trade name: Herceptin) is a humanized monoclonal antibody targeting a human HER2 molecule and having a molecular weight of 148 kDa, and specifically binds to an epitope (aa529-625) in an extracellular region of the HER2 molecule. Trastuzumab is formulated together with additives, such as trehalose hydrate, L-histidine hydrochloride hydrate, L-histidine and polysorbate, into a composition for injection and used as a medicine. As a cancer which is observed to have overexpression of HER2, for example, breast cancer which is observed to have overexpression of HER2 and unresectable and progressive/recurrent stomach cancer which is observed to have overexpression of HER2, can be mentioned.


More specifically, according to the present invention, it is possible to determine side effects from administration of trastuzumab to various cancers mentioned above. Determining a side effect refers to determining the possibility of developing a side effect after administration of trastuzumab or determining the severity of the side effect. As a side effect of trastuzumab, at least one selected from heart failure, cardiogenic shock, pulmonary edema, pericardial effusion, cardiomyopathy, pericarditis, arrhythmia and bradycardia can be mentioned. In other words, a side effect can be defined as a symptom due to cardiotoxicity of trastuzumab.


For determining the genotype of a gene polymorphism, genomic DNA contained in a biological sample taken from a subject can be used. The biological sample taken from a subject herein is not particularly limited as long as it contains genomic DNA. Examples of the biological sample include blood and blood-related samples derived from blood (e.g., blood, serum and plasma); body fluids such as lymph, sweat, tears, saliva, urine, feces, ascites and cerebrospinal fluid; and crushed materials and extracts of cells, tissues or organs. A blood-related sample is preferably used in the present invention.


A means for extracting genomic DNA from a biological sample taken from a subject is not particularly limited, and a means of directly separating a DNA component from the biological sample, purifying and recovering it is preferred.


The gene polymorphism specified by rs9316695 (single nucleotide polymorphism, SNP) is located on the long arm of chromosome 13 (13q14.3) and has cytosine as wild-type and adenine as mutant. The gene polymorphism specified by rs1193853 (single nucleotide polymorphism, SNP) is located on the long arm of chromosome 4 (4q25) and is a single nucleotide polymorphism having thymine as wild-type and cytosine as mutant. The gene polymorphism specified by rs28415722 (single nucleotide polymorphism, SNP) is located on the long arm of chromosome 15 (15q26.3) and has guanine as wild-type and adenine as mutant. The gene polymorphism specified by rs7406710 (single nucleotide polymorphism, SNP) is located on the long arm of chromosome 17 (17q25.3) and has cytosine as wild-type and thymine as mutant. The gene polymorphism specified by rs8032978 (single nucleotide polymorphism, SNP) is located on the long arm of chromosome 15 (15q26.3) and has adenine as wild-type and guanine as mutant.


The term “linkage disequilibrium” refers to a population genetic phenomenon where a non-random correlation is observed among alleles of a plurality of loci or genetic markers (polymorphisms) in a biological population, more specifically, where a frequency of a specific combination (haplotype) of them significantly increases. The term “genetic linkage” refers to a genetic phenomenon where a combination of predetermined alleles is inherited from a parent to a child without following the Mendel's Law of Independent Assortment.


Specific examples of a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs9316695 include, but are not particularly limited to, rs4597194, rs67371330, rs9527155, rs73197793, rs9527156, rs9536600, rs9536601, rs9527157, rs9596894, rs9536604, rs9536605, rs9536606, rs9596895, rs12585722, rs9536608, rs9536610, rs4884826, rs147044674, rs201449129, rs199694348, rs146020011, rs9536611, rs9536612, rs67998663, rs9536613, rs9596896, rs9536614, rs144930433, rs144567553, rs9596897, rs4572266, rs7330060, rs9527161, rs4584708, rs4640062, rs140902703, rs143148342, rs17089212, rs2104970, rs9536598, rs9527160, rs4883836, rs150544413, rs11616925, rs9536595, rs7334767, rs59300548, rs9536609, rs4883837, rs11617903, rs7993293, rs9536620, rs9536619, rs58440048, rs10585368, rs9527169, rs529033940, rs17089149, rs1572184, rs2050281, rs12870784, rs2210644, rs9536584, rs9536586, rs9536588, rs9536589, rs4275742, rs78202205, rs67234964, rs145327528, rs12583122, rs17089167, rs4523820 and rs7994759 (r2>0.4). Of them, a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs9316695 is preferably at least one gene polymorphism selected from the group consisting of


rs4597194, rs67371330, rs9527155, rs73197793, rs9527156, rs9536600, rs9536601, rs9527157, rs9596894, rs9536604, rs9536605, rs9536606, rs9596895, rs12585722, rs9536608, rs9536610, rs4884826, rs147044674, rs201449129, rs199694348, rs146020011, rs9536611, rs9536612, rs67998663, rs9536613, rs9596896, rs9536614, rs144930433, rs144567553, rs9596897, rs4572266, rs7330060, rs9527161, rs4584708, rs4640062, rs140902703, rs143148342 and rs17089212 (r2=1.000).


Specific examples of a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs11932853 include, but are not particularly limited to, rs13128178, rs13103305 and rs34290584 (r2>0.8).


Specific examples of a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs28415722 include, but are not particularly limited to, rs28728168, rs11854776, rs1383149, rs4144489, rs13329373, rs12592103, rs2086366, rs12372962, rs28787308, rs4441250, rs11247348, rs1993976, rs1118043, rs2127556, rs8027435, rs202050468, rs28477300, rs11421357, rs12148125, rs12148342, rs28424020, rs28622146, rs28852783, rs74537059, rs4144488, rs12148124, rs1480097, rs60452357, rs28547243, rs200378270, rs28881820, rs28786836, rs79151393, rs76681857, rs62026165, rs62026166, rs67260482, rs67176041, rs113000837, rs112082590, rs79186877, rs12593815, rs67544351, rs66460935, rs28831185, rs112350672, rs9920073, rs28856352, rs9920491, rs9920100, rs899668, rs899670, rs899671, rs1600527, rs1842330, rs28886127, rs28763397, rs899669, rs2310786, rs2219877, rs28688638, rs66514354, rs28762186, rs5814843, rs113548268, rs28529334, rs28482307, rs28713196, rs28524985, rs1480096, rs7178508, rs2127555, rs7182053, rs8024637, rs4965928, rs4500701, rs899672, rs12148884, rs11247343, rs4305003, rs72756784, rs11857308, rs72756793, rs144244319, rs72756771, rs201638246, rs59400223, rs8041025, rs56254795, rs56087861, rs72756798, rs899673, rs7165184, rs2170105, rs190524788, rs145368286, rs72756742, rs58965013, rs2310788, rs200379847, rs12439514, rs9744177, rs4340314, rs7170047, rs145073022, rs59673774, rs1973203, rs7174886, rs4966026, rs6598551, rs7163138, rs11854601, rs899666, rs7171284, rs7169062, rs7171511, rs7178632, rs28476632, rs10660160, rs7163125, rs35915991, rs7169617, rs2871595, rs139776752, rs7169876, rs59784745, rs34967522, rs58591739, rs77673781, rs77476477, rs74848179, rs28804986, rs8026981, rs149769916, rs67999313, rs34527695, rs7172170, rs2089, rs72756785, rs62026191, rs76137345, rs112123401, rs7171292, rs7167815, rs28531668, rs4321178, rs72756790, rs2086365, rs201660876, rs55693761, rs56361500, rs28816992, rs59699060, rs62026167, rs28872593, rs4598889, rs4561450, rs4246339, rs78382254, rs28421057, rs28694303, rs4448919, rs28415561, rs12148823, rs7183126, rs11858646, rs62026209, rs111412942, rs62024083, rs113693221, rs12148449, rs12148742, rs62026207, rs62026208, rs201016517, rs11855844, rs4102909, rs11856483, rs28409382, rs59256589, rs62026196, rs58535173, rs142419518, rs34544919, rs62026205, rs56753756, rs79875962, rs12593369, rs11433091, rs11247363, rs11247364, rs11247366, rs12591387, rs12594533, rs12592382, rs8040797, rs8024782, rs62026194, rs149652096, rs113666132, rs8038239, rs145372032, rs74496658, rs11247360, rs66603848, rs4965371, rs56397226, rs76212696, rs28755859, rs28516952, rs9672462, rs9672677, rs113071929, rs12595170, rs369284370, rs7495211, rs751483, rs139593401, rs12439362, rs12438268, rs9672473, rs9672826, rs9806583, rs9806588, rs11247384, rs9672593, rs9330523, rs9672475, rs77969302, rs148140419, rs12441935, rs984998, rs72758712, rs139378984, rs12441957, rs12912787, rs72758714, rs984999, rs55978834, rs7179988, rs72758718, rs72758720, rs143988409, rs7180674, rs28671427, rs7163855, rs28368406 and rs34610227 (r2>0.2). Of them, a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs28415722 is preferably at least one gene polymorphism selected from the group consisting of rs28728168, rs11854776, rs1383149, rs4144489, rs13329373, rs12592103, rs2086366, rs12372962, rs28787308, rs4441250, rs11247348, rs1993976, rs1118043, rs2127556 and rs8027435 (r2>0.8). A gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs28415722 is more preferably rs28728168 and/or rs11854776 (r2=1.000).


Specific examples of a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs7406710 include, but are not particularly limited to, rs8081479, rs7406026, rs7405590, rs72854495, rs7405588, rs74530133, rs7405749, rs7406506, rs7405641, rs11552304, rs7405532, rs71675424, rs62076028, rs58483803, rs11869448, rs11870015, rs8074089, rs7405522, rs7224579, rs6565593, rs6565590, rs6565592, rs72854500, rs4076968, rs7213717, rs78537846, rs9675106, rs6565595, rs7207933, rs60016321, rs112791119, rs77387916, rs74818865, rs7207958, rs12453887, rs11150795, rs12675, rs61430049, rs112930265, rs6565591, rs8068081, rs6565596, rs8068511, rs3924327, rs61655749, rs34797307, rs35789723, rs2075722, rs7406756 and rs7406904 (r2>0.2). Of them, a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs7406710 is preferably at least one gene polymorphism selected from the group consisting of rs8081479, rs7406026, rs7405590, rs72854495, rs7405588, rs74530133, rs7405749, rs7406506, rs7405641, rs11552304, rs7405532, rs71675424, rs62076028, rs58483803, rs11869448, rs11870015, rs8074089, rs7405522, rs7224579, rs6565593, rs6565590, rs6565592, rs72854500 and rs4076968 (r2>0.4).


Specific examples of a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs8032978 include, but are not particularly limited to, rs8033540, rs8033003, rs28863221, rs28770217, rs111829181, rs55957523, rs28609156, rs28690028, rs28665122, rs7172856, rs143956992, rs117531330, rs77343149, rs74563564, rs149545605, rs11327127, rs117512970, rs74041962, rs59542966, rs2898864, rs4275835, rs111447514, rs61276520, rs60105028, rs75348190, rs1545855, rs74041979 and rs59199124 (r2>0.6). Of them, a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs8032978 is preferably at least one gene polymorphism selected from the group consisting of rs8033540, rs8033003, rs28863221, rs28770217, rs111829181, rs55957523, rs28609156, rs28690028, rs28665122 and rs7172856 (r2>0.8). A gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism specified by rs8032978 is more preferably rs8033540 (r2=1.000).


As a method for specifying the genotype of a gene polymorphism mentioned above, more specifically, a method for typing a gene polymorphism, a method of analyzing a single nucleotide polymorphism known in the technical field can be used. Examples of the analysis method include a real time PCR method, a direct sequencing method, a TaqMan(R) PCR method, an invader(R) method, a Luminex(R) method, a quenching primer/probe (QP) method, MALDI-TOF method and a molecular beacon method. Specific examples of the method include a method comprising collecting a biological sample from a subject (usually meaning a human subject); amplifying a nucleic acid fragment containing a measurement target, a single nucleotide polymorphism site, by use of primers and in accordance with an amplification reaction using genomic DNA of the biological sample as a template; and detecting hybridization of the obtained nucleic acid fragment with a pair of probes corresponding to a wild-type and a mutant; or detecting a wild-type and a mutant using a specific probe to the single nucleotide polymorphism site in the above PCR amplification process.


A probe set for use in specifying a gene polymorphism (more specifically, a probe set for determining a side effect from administration of trastuzumab) may be any probe set as long as it contains an oligonucleotide that hybridizes, under stringent conditions, with a region of consecutive 5 to 50 nucleotides, preferably 10 to 40 nucleotides, more preferably 10 to 30 nucleotides containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism. If an oligo probe synthesized by using an artificial nucleic acid such as Locked Nucleic Acid (LNA) is used as a probe, the probe can specifically hybridize even with a short nucleotide. The probe set refers to a set of wild-type probe corresponding to a wild-type allele and a mutant probe corresponding to a mutant allele.


The stringent conditions refer to the conditions under which a specific hybrid is formed and a non-specific hybrid is not formed, and specific examples include conditions under which a hybrid can be formed in a solution containing 6×SSC (a solution containing 1.5 M NaCl and 0.15 M trisodium citrate is 10×SSC) and 50% formamide, at 45° C. and then washed with 2×SSC at 50° C. The stringent conditions can be set appropriately with reference to Molecular Biology, John Wiley & Sons, NY. (1989), 6.3.1-6.3.6. Alternatively, examples of the stringent conditions include the conditions under which a hybrid can be formed in a solution containing 3×SSC/0.3×SDS at 54° C. and washed sequentially with cleaning liquid A (10×SSC/1% SDS solution), cleaning liquid B (20×SSC) and cleaning liquid C (5×SSC) (see, JP Patent Publication (Kokai) No. 2011-250726 A).


A probe set for use in specifying a gene polymorphism may be immobilized on a carrier and used. Examples of the carrier include a planar substrate and spherical carrier like beads. Specific examples include a carrier described in JP Patent Publication (Kokai) No. 2011-250726A. A probe for detecting a wild-type and a probe for detecting a mutant may be immobilized to the same carrier or different carriers.


The primer for use in a method for specifying the above gene polymorphism may be a primer formed of an oligonucleotide that can amplify at least 5 consecutive nucleotides as a nucleic acid fragment containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism, using genomic DNA as a template. More specifically, a primer formed of an oligonucleotide that can amplify at least 5 nucleotides, preferably 10 to 500 nucleotides, more preferably 20 to 200 nucleotides, further preferably 50 to 100 nucleotides containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism, can be appropriately designed based on a genomic DNA sequence stored in a known database.


In amplifying at least 5 consecutive nucleotides containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism, the sequence amplified can be identified by use of a primer previously labeled or labeled nucleotides as substrates in an amplification reaction. Examples of the labeling substance include, but are not particularly limited to, a radioisotope, a fluorescent dye, and an organic compound such as digoxigenin (DIG) and biotin.


The probe or primer can be obtained through chemical synthesis, for example, by a nucleic acid synthesizer. Examples of the nucleic acid synthesizer that can be used include a DNA synthesizer and a full-automatic nucleic acid synthesizer.


If a nucleic acid fragment amplified has a label, a nucleic acid fragment hybridized with each probe (wild-type probe or mutant probe contained in a probe set for determining a side effect from administration of trastuzumab) can be measured by detecting the label. For example, if a fluorescent dye is used as a label, nucleic acid fragment hybridized with a probe can be measured by measuring the intensity of fluorescence emitted from the fluorescent dye. Specifically, when the ratio of a nucleic acid fragment hybridized with a wild-type probe and a nucleic acid fragment hybridized with a mutant probe, the ratio can be calculated from an output value when a label of a wild-type probe is detected and an output value when a label of a mutant probe is detected. If a fluorescent label is used as a label, fluorescence intensity is used as an output value.


More specifically, the value for determination can be obtained by dividing the output value (fluorescence intensity) derived from a nucleic acid fragment hybridized with a mutant probe by an average value of an output value (fluorescence intensity) derived from a nucleic acid fragment hybridized with a mutant and an output value (fluorescence intensity) derived from a nucleic acid fragment hybridized with a wild-type probe. The value for determination approximates to a normalized value of the amount of mutant contained in a nucleic acid fragment. In this manner, a single nucleotide polymorphism of a subject is analyzed based on the value for determination, and then, whether it is mutant homozygosity, wild-type homozygosity, or heterozygosity can be determined.


When the value for determination is used, in order to analyze a single nucleotide polymorphism of a subject and determine whether it is mutant homozygosity, wild-type homozygosity, or heterozygosity, it is preferable to previously set two thresholds different in level (threshold A and threshold B). Here, threshold A and threshold B herein are assumed to satisfy the relationship: threshold A>threshold B. More specifically, if the value for determination calculated as described above exceeds threshold A, it can be determined to be mutant homozygosity. If the value for determination is not more than threshold A and more than threshold B, it can be determined to be heterozygosity. If the value for determination is not more than threshold B, it can be determined to be wild-type homozygosity.


Examples of a method for setting threshold A and threshold B include, but are not particularly limited to, a method comprising calculating a value for determination by using a sample whose genotype is previously determined as described above, and calculating a probability density as normal distribution with respect to mutant homozygosity, wild-type homozygosity, or heterozygosity described above. In this case, an intersection (the position at which large and small probability density values switch and between maximum values of both probability densities) at which probability densities mutually overlap is obtained. Average values of each of mutant homozygosity, wild-type homozygosity, and heterozygosity described above, are obtained. The threshold of mutant homozygosity and heterozygosity can be calculated as an average value of (average value of mutant homozygosity and average value of heterozygosity) and an average value of the intersection. Similarly, the threshold of heterozygosity and wild-type homozygosity can be calculated as an average value of (average value of heterozygosity and average value of wild-type homozygosity) and an average value of the intersection.


In the gene polymorphism specified by rs9316695, a mutant (adenine) is a risk allele. If the gene polymorphism specified by rs9316695 in a subject is wild-type (cytosine) homozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant/wild-type heterozygosity, it is determined that the subject has a high possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant homozygosity, it is determined that the subject has a higher possibility of developing a side effect of trastuzumab.


In the gene polymorphism specified by rs11932853, a wild-type (thymine) is a risk allele. If the gene polymorphism specified by rs11932853 in a subject is mutant (cytosine) homozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant/wild-type heterozygosity, it is determined that the subject has a high possibility of developing a side effect of trastuzumab. If the gene polymorphism is wild-type homozygosity, it is determined that the subject has a higher possibility of developing a side effect of trastuzumab.


In the gene polymorphism specified by rs28415722, a mutant (adenine) is a risk allele. If the gene polymorphism specified by rs28415722 in a subject is wild-type (guanine) homozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant/wild-type heterozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant homozygosity, it is determined that the subject has a higher possibility of developing a side effect of trastuzumab.


In the gene polymorphism specified by rs7406710, a wild-type (cytosine) is a risk allele. If the gene polymorphism specified by rs7406710 in a subject is mutant (thymine) homozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant/wild-type heterozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is wild-type homozygosity, it is determined that the subject has a higher possibility of developing a side effect of trastuzumab.


In the gene polymorphism specified by rs8032978, a wild-type (guanine) is a risk allele. If the gene polymorphism specified by rs8032978 in a subject is wild-type (adenine) homozygosity, it is determined that the subject has a low possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant/wild-type heterozygosity, it is determined that the subject has a high possibility of developing a side effect of trastuzumab. If the gene polymorphism is mutant homozygosity, it is determined that the subject has a higher possibility of developing a side effect of trastuzumab.


A subject for which determination is made is, for example, a person suspected or diagnosed to have a disease within the application range of trastuzumab mentioned above and is not particularly limited.


In determining a side effect of trastuzumab, one gene polymorphism selected from a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism as mentioned above may be used or a plurality of gene polymorphisms may be used in combination. In other words, a side effect of trastuzumab in a subject can be determined based on the genotype of one gene polymorphism selected from a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism as mentioned above. Alternatively, a side effect of trastuzumab in a subject can be determined based on a plurality of genotypes of gene polymorphisms selected from these gene polymorphisms.


As a plurality of the gene polymorphisms, for example, among five types of gene polymorphisms specified by rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, two types, three types, four types or five types of gene polymorphisms can be arbitrarily put in use. At this time, the genotype of each gene polymorphism is scored and a side effect of trastuzumab of a subject may be determined based on the score. For example, a score can be given such that the score becomes high if the possibility of developing a side effect of trastuzumab is high, whereas the score becomes low if the possibility of developing a side effect of trastuzumab is low. In contrast, a score can be given such that the score becomes low if the possibility of developing a side effect of trastuzumab is high, whereas the score becomes high if the possibility of developing a side effect of trastuzumab is low.


To describe scoring more specifically, a score of 0 can be given if the gene polymorphism specified by rs9316695 is wild-type (cytosine) homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be low. A score of 1 can be given if the gene polymorphism is mutant/wild-type heterozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be high. A score of 2 can be given if the gene polymorphism is mutant homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be higher. Similarly, a score of 0 can be given if the gene polymorphism specified by rs11932853 is mutant (cytosine) homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be low. A score of 1 can be given if the gene polymorphism is mutant/wild-type heterozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be high. A score of 2 can be given if the gene polymorphism is mutant homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be higher. Similarly, a score of 0 can be given if the gene polymorphism specified by rs28415722 is wild-type (guanine) homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be low. A score of 0 can be given if the gene polymorphism is mutant/wild-type heterozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be low. A score of 2 can be given if the gene polymorphism is mutant homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be higher. Similarly, a score of 0 can be given if the gene polymorphism specified by rs7406710 is mutant (thymine) homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be low. A score of 0 can be given if the gene polymorphism is mutant/wild-type heterozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be low. A score of 2 can be given if the gene polymorphism is wild-type homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be higher. Similarly, a score of 0 can be given if the gene polymorphism specified by rs8032978 is wild-type (adenine) homozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be is low. A score of 1 can be given if the gene polymorphism is mutant/wild-type heterozygosity, since the possibility of developing a side effect of trastuzumab can be determined to be high. A score of 2 can be given if the gene polymorphism is mutant homozygosity, since the possibility of developing a side effect of trastuzumab is determined to be higher.


As described above, with respect to the five types of gene polymorphisms specified by rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, a score in the range of 0 to 2 is given depending on the genotypes. In this manner, the genotypes of these five types of gene polymorphisms in a subject can be scored. In the above cases, it can be determined that the higher the score, the higher the possibility of developing a side effect of trastuzumab.


To be more specific, a score in the range of 0 to 2 is given depending on the genotypes with respect to the five types of gene polymorphisms specified by rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978 as mentioned above, and the total of scores given to the genotypes determined in a subject falls within the range of 0 to 10. The total score of a subject can be used as a reference data for predicting the possibility of developing a side effect of trastuzumab in the subject. For example, if a subject has a total score of 5 or more, the subject can be determined to belong to a group having a high possibility of developing a side effect of trastuzumab. Conversely, if a subject has a total score of is 4 or less, the subject can be determined to belong to a group having a low possibility of developing a side effect of trastuzumab.


In the above example, a total score of 5 or more (4 or less) is used as the reference for determining whether or not a subject belongs to a group having a high possibility of developing a side effect of trastuzumab; however, the reference can be a total score of 6 or more, 7 or more, or 8 or more. The threshold of the total score may be arbitrarily determined.


EXAMPLE

Now, the present invention will be more specifically described by way of Example. The technical scope of the present invention is not limited to that of the following Example.


[Materials and Methods]


[Patients]


In this Example, the samples of 268 patients treated with trastuzumab were selected from the samples registered at the NCC Biobank during the period from February 2010 to December 2015, and subjected to a genome-wide association study (GWAS) for identifying genetic markers related to a risk of trastuzumab-induced cardiotoxicity. In a follow-up study, 213 patients who received a treatment with trastuzumab (14 cases and 199 controls) during the period from October 2017 to March 2018 were collected from the hospital of St. Marianna University Hospital and Nakagami Hospital; and collected from the samples registered at the NCC Biobank during the period from June 2016 to October 2017.


In this Example, in accordance with the standard of the Herceptin adjuvant (HERA) test, a case exhibiting a left ventricular ejection fraction (LVEF) of less than 45% after administration of trastuzumab or a case having a decrease of 10% or more from a baseline and exhibiting an LVEF of less than 50% was defined as a case of trastuzumab-induced cardiotoxicity. This Example was approved by the ethics committees of the National Cancer Center Japan, St. Marianna University School of Medicine, Nakagami Hospital and the Japanese Foundation For Cancer Research. Informed consent was obtained from all patients participated in this Example.


[Genotype Determination and Quality Control]


Genomic DNA was extracted from cancer cell-free peripheral blood or formalin fixative paraffin embedded (FFPE) lymph node. The genotypes of 268 patients were determined by using Infinium OmniExpressExome-8 v1.4 (manufactured by Illumina, Inc.) for GWAS analysis. In this Example, quality control (call rate: 99% or more) was applied to both of cases and controls. To the controls, the Hardy-Weinberg equilibrium (P>1.0×10−6) was applied and a minor allele frequency of SNP was set at 0.01 or more. 543,807 SNPs on the autosomal chromosomes passed quality control. In this Example, potential relevance of the samples was evaluated by using the identity-by-state (IBS) method.


Structure of a population was confirmed by the principal component analysis (PCA) using EIGENSTRAT software 6.0.1. Distribution of a sample population was determined by PCA in comparison with three reference populations from 1,000 Genomes Project Phase 3 database. The 1,000 Genomes Project Phase 3 database contains data of Europeans (represented by CEPH from Utah (CEU)), Africans (represented by Yoruba in Ibadan (YRI)) and east Asians (represented by Japanese in Tokyo (JPT), Han Chinese in Beijing (CHB), southern Han Chinese (CHS), Chinese Dai in Xishuangbanna (CDX) and Kinh in Ho Chi Minh City, Vietnam (KHV)). PCA was carried out based on the genotype information from the samples used in this Example. Fisher's exact test for the P value predicted was carried out and a quantile-quantile plot (Q-Q plot) was prepared between the P values determined by the test. As a result, a genomic inflation factor was 1.173 and a significant stratification of a population was not shown (not shown).


[Genotype Imputation]


Genome-wide imputation of 268 patients used in GWAS was performed. 43 SNPs located in three genomic regions (locus in chromosome 13q14.3 and independent two loci in chromosome 15q26.3) exhibited a significance greater than marker SNP (tag-SNP) in individual loci by genome-wide imputation analysis, and thus, these genomic regions (54593774-54618139 of chromosome 13q14.3, 98578726-98646496 of chromosome 15q26.3 and 101796748-101800094 of chromosome 15q26.3) in 213 patients used in a follow-up study were also subjected to imputation analysis.


In this Example, a reference panel based on 1,000 Genomes Project Phase 3 integrated release version 5 regarding east Asian individuals including Japanese in Tokyo, Chinese in Beijing and Chinese in South China, was used for imputation. Genotype data in which genotypes were not determined by Minimac 3 software were subjected to imputation. Variants showing RSQ>0.3, which is a threshold of imputation quality, were extracted. In the imputation analysis in this Example, SNP quality control was carried out by removing SNPs having a genotype present at a low rate of less than 99% and deviated from a Hardy-Weinberg equilibrium (P 1.0×10−6) and SNPs having a minor allele frequency of <0.01 in the control.


[Statistical Analysis]


In the GWAS analysis and follow-up study, a case-control referent study based on the Fisher's exact test was applied to three genetic models, i.e., allele model, dominant genetic model and recessive genetic model. A non-risk allele or a non-risk genotype was used as a reference, and the odds ratio (OR) and confidence interval (CI) were calculated with respect to one of these three genetic models having the lowest P value. For the multiple test for these three genetic models, the genome-wide significance level after the Bonferroni correction was P=3.06×10−8[0.05/(543,807×3)] in GWAS and P=1.67×10−4[0.05/(100×3)] in the follow-up study.


For combination analysis, the number of persons in each genotype in the follow-up study was added to those in GWAS. The age distribution, primary lesion, whether a pretreatment with anthracycline was applied or not, and statuses of an HER2 receptor and a hormone receptor were evaluated by logistic regression analysis as to whether they become risk factors for trastuzumab-induced cardiotoxicity.


In the scoring system for predicting a risk of trastuzumab-induced cardiotoxicity, a score of 2 was given to an individual having homozygous risk alleles, a score of 1 was given to an individual having heterozygous risk alleles, and a score of 0 was given to an individual having homozygous non-risk alleles with respect to gene polymorphisms of rs9316695, rs11932853 and rs8032978, in this Example. In this Example, with respect to the genotypes of rs28415722 and rs7406710, a score of 2 was given to an individual having homozygous risk alleles and a score of 0 was given to an individual having other genotypes. In this Example, the scores given to individual gene polymorphisms were added up and the total score was obtained per individual. Owing to the scoring system, individual patients were classified into 9 groups (total score: 0, 1, 2, 3, 4, 5, 6, 7 or 8).


In this Example, all statistical analyses were carried out by R statistical environment version 3.3.1, PLINK version 1.07 or BellCurve for Excel (manufactured by Social Survey Research Information Co., Ltd.). Regional association plots were prepared by use of Locus Zoom.


[Results]


[Background Factor of Patient]


To identify genetic markers for determining a risk of trastuzumab-induced cardiotoxicity, 481 patients who received a treatment with trastuzumab were employed in this Example. The 481 patients includes 25 cases (having trastuzumab-induced cardiotoxicity) and 456 controls (having no trastuzumab-induced cardiotoxicity). In Table 1, the background factors of these 481 patients were collectively shown.












TABLE 1








GWAS (N = 268)
Follow-up study (N = 213)
Total number (N = 481)


Patient's
Number of patients (%)
Number of patients (%)
Number of patients (%)













background
Case
Control
Case
Control
Case
Control


factor
(N = 11)
(N = 257)
(N = 14)
(N = 199)
(N = 25)
(N = 456)










Age (Age)













Median value
62.0
61.0
60.0
57.0
62.0
59.0


Range
46-76
29-86
36-81
27-83
36-81
27-86







Primary lesion



















Breast cancer
10
(90.9)
185
(72.0)
14
(100.0)
178
(89.4)
24
(96.0)
363
(79.6)


Stomach cancer
1
(9.1)
68
(26.5)
0
(0.0)
21
(10.6)
1
(4.0)
89
(19.5)


Unknown
0
(0.0)
4
(1.6)
0
(0.0)
0
(0.0)
0
(0.0)
4
(0.9)







Pretreatment with anthracycline



















Treated
9
(81.8)
148
(57.6)
10
(71.4)
128
(64.3)
19
(76.0)
276
(60.5)


Not treated
2
(18.2)
109
(42.4)
4
(28.6)
71
(35.7)
6
(24.0)
180
(39.5)







Her-2



















Positive
10
(90.9)
249
(96.9)
14
(100.0)
199
(100.0)
24
(96.0)
448
(98.2)


Negative
0
(0.0)
0
(0.0)
0
(0.0)
0
(0.0)
0
(0.0)
0
(0.0)


Unknown
1
(9.1)
8
(3.1)
0
(0.0)
0
(0.0)
1
(4.0)
8
(1.8)







ER status (breast cancer)



















Positive
6
(60.0)
119
(64.3)
11
(78.6)
117
(65.7)
17
(70.8)
236
(65.0)


Negative
3
(30.0)
64
(34.6)
3
(21.4)
61
(34.3)
6
(25.0)
125
(34.4)


Unknown
1
(10.0)
2
(1.1)
0
(0.0)
0
(0.0)
1
(4.2)
2
(0.6)







PR status (breast cancer)



















Positive
6
(60.0)
104
(56.2)
8
(57.1)
92
(51.7)
14
(58.3)
196
(54.0)


Negative
4
(40.0)
80
(43.2)
6
(42.9)
86
(48.3)
10
(41.7)
166
(45.7)


Unknown
0
(0.0)
1
(0.5)
0
(0.0)
0
(0.0)
0
(0.0)
1
(0.3)





ER: estrogen receptor,


PR: progesterone receptor






In both of the cases and controls, the median age of the patients in the beginning of a treatment with trastuzumab was 56. The background factors of patients listed in Table 1 did not show a significant relationship with trastuzumab-induced cardiotoxicity in logistic regression analysis.


[GWAS and Follow-Up Study Analysis]


In this Example, trastuzumab-induced cardiotoxicity was defined as a case exhibiting a left ventricular ejection fraction (LVEF) of less than 45% after administration of trastuzumab or a case having a decrease of 10% or more from a baseline and exhibiting an LVEF of less than 50%, in accordance with the standard of the Herceptin adjuvant (HERA) test. GWAS of 268 patients was carried out by using Infinium OmniExpressExome-8 v1.4 (manufactured by Illumina, Inc.).


After general quality control, the association study of 543,807 SNPs was carried out by the Fisher's exact test based on three genetic models (allele model, dominant genetic model and recessive genetic model). In this Example, a quantile-quantile plot (Q-Q plot) was prepared. The genomic inflation factor was 1.173, which means that there is no group stratification. However, an SNP reaching the genome-wide significance level was not found. In GWAS, SNPs ranked in the top 100 significant difference showed a possibility of being associated with trastuzumab-induced cardiotoxicity (P=7.60×10−7 to 2.01×10−2). To further check the results of GWAS, independent 213 patients including 14 cases and 199 control cases were subjected to a follow-up study on these 100 SNPs. In the follow-up study, there were no SNPs reached a significance level after the Bonferroni correction; however, 17 SNPs which may be associated with cardiotoxicity were identified (P=3.6×10−2 to 9.4×10−2). As a result of combination analysis of GWAS and the follow-up study of these 17 SNPs, 9 SNPs were found in 5 loci exhibiting stronger association than that in GWAS results. These 9 SNPs were rs9316695 (Pcombined=6.00×10−6), rs9527156 (Pcombined=8.64×10−6), rs12583122 (Pcombined=1.92×10−5) and rs11617903 (Pcombined=2.22×10−5) located on chromosome 13q14.3; rs11932853 (Pcombined=1.42×10−4) located on chromosome 4q25; rs1383149 (Pcombined=1.01×10−4) and rs12372962 (Pcombined=1.15×10−4) located on chromosome 15q26.3; rs7406710 (Pcombined=1.07×10−4) located on chromosome 17q25.3; and rs8032978 (Pcombined=1.60×10−4) located on chromosome 15q26.3. None of them, however, satisfied the genome-wide significance level (P=3.06×10−8).


[Imputation Analysis]


To further identify candidate loci associated with trastuzumab-induced cardiotoxicity in this Example, genome wide imputation analysis of GWAS samples was performed to check association. However, new candidate loci associated with trastuzumab-induced cardiotoxicity were not identified. From the five candidate loci (a single locus on chromosome 4q25, a single locus on chromosome 13q14.3, two independent loci on chromosome 15q26.3, and a single locus on chromosome 17q25.3) identified by GWAS, 43 SNPs were newly identified in three genetic regions (a single locus on chromosome 13q14.3 and two independent loci on chromosome 15q26.3) by imputation analysis. These SNPs showed more significant association than the marker SNP (tag-SNP) identified in GWAS.


In this Example, a follow-up study was further carried out using 213 independent patients with respect to these 43 SNPs. As a result, SNP having strong association was not further found other than marker SNPs in these three loci. However, when GWAS results and follow-up study results were used in combination with respect to these 43 SNPs, it was found that rs28415722 on chromosome 15q26.3 is more strongly associated with trastuzumab-induced cardiotoxicity than in GWAS. In addition, rs28415722 showed the strongest association in this region (Pcombined=8.88×10−5).


Information, analysis results and statistical analysis results of 5 SNPs associated with trastuzumab-induced cardiotoxicity and identified in this Example were collectively shown in Table 2.










TABLE 2








Case






















Number of










persons by



Chromosomal


Allele b
Risk

Genotyping/
genotype


















region
Locationa
SNP
[1/2]
allele
Analysis stage
Imputation
11
12
22
RAF





13q14.3
54,615,773
rs9316695
C/A
A
GWAS/
Genotyped
3
5
3
0.50







follow-up study

7
6
1
0.29







combination

10
11
4
0.38


15q26.3
98,609,746

drs28415722

G/A
A
GWAS/
Imputed
1
2
8
0.82







follow-up study

6
3
5
0.46







combination

7
5
13
0.62


17q25.3
79,505,624
rs7406710
C/T
C
GWAS/
Genotyped
11
0
0
1.00







follow-up study

10
3
1
0.82







combination

21
3
1
0.90


4q25
112,024,388
rs11932853
T/C
T
GWAS/
Genotyped
7
3
1
0.77







follow-up study

4
8
2
0.57







combination

11
11
3
0.66


15q26.3
101,799,790
rs8032978
A/G
G
GWAS/
Genotyped
6
4
1
0.27







follow-up study

11
3
0
0.11







combination

17
7
1
0.18















Control
















Number of

P value
















persons by

Dominant
Recessive

















Chromosomal
genotype

Allele
genetic
genetic
Odds ratio

















region
11
12
22
RAF
model
model
model
(95% CI)c





















13q14.3
199
55
3
0.12
2.59 × 10−5
8.22 × 10−4
9.71 × 10−4
7.38
(2.77-19.66)




153
43
3
0.12
3.79 × 10−2
4.80 × 10−2
2.40 × 10−1
2.84
(1.02-7.19)




352
98
6
0.12
6.00 × 10−8
1.22 × 10−4
9.73 × 10−4
4.46
(2.30-8.47)



15q26.3
95
119
43
0.40
1.97 × 10−4
1.04 × 10−1
1.10 × 10−4
13.08
(2.99-79.58)




82
85
32
0.37
4.21 × 10−1
1.00
7.31 × 10−2
2.88
(0.71-10.34)




177
204
75
0.39
1.62 × 10−3
3.98 × 10−1
8.88 × 10−5
5.48
(2.21-13.69)

















17q25.3
111
119
27
0.66
2.38 × 10−4
6.10 × 10−1
1.35 × 10−4
NA



















90
93
16
0.69
2.01 × 10−1
1.00
9.37 × 10−2
3.01
(0.83-13.61)




201
212
43
0.67
4.55 × 10−4
7.17 × 10−1
1.07 × 10−4
6.64
(2.19-27.01)



4q25
31
129
97
0.37
2.26 × 10−4
6.04 × 10−2
1.47 × 10−4
12.54
(2.99-61.88)




27
99
73
0.38
7.05 × 10−2
1.45 × 10−1
1.28 × 10−1
2.13
(0.92-5.08)




58
228
170
0.38
1.42 × 10−4
9.56 × 10−3
2.10 × 10−4
3.20
(1.70-6.23)



15q26.3
239
18
0
0.04
1.95 × 10−4
9.84 × 10−4
4.10 × 10−2
10.22
(2.93-31.90)




185
13
1
0.04
1.07 × 10−1
8.87 × 10−2
1.00
3.57
(0.57-15.86)




424
31
1
0.04
1.60 × 10−4
4.29 × 10−4
1.01 × 10−1
5.83
(2.30-13.51)






abased on GRCh37 genome assembly




b reference allele (GRCh37) is defined as Allele 1




codds ratio of model having minimum P value is shown




dgenotype rs28415722 is confirmed by using TaqMan SNP genotyping assay



GWAS: genomic wide association study,


SNP: single nucleotide polymorphism,


RAF: risk allele frequency,


CI: confidence interval,


NA: no data






Regional association plots of these 5 SNPs to the regions containing respective SNPs were prepared and shown in FIGS. 1A to E. Note that, FIG. 1A shows a regional association plot regarding a region containing rs9316695; FIG. 1B a regional association plot regarding a region containing rs28415722; FIG. 1C a regional association plot regarding a region containing rs7406710; FIG. 1D a regional association plot regarding a region containing rs11932853; and FIG. 1E a regional association plot regarding a region containing rs8032978.


In FIGS. 1A to E, the P values (−log10 (P value)) of SNPs genotyped are plotted by circles, whereas the P values (−log10 (P value)) of SNPs imputed are plotted by squares. In FIGS. 1A to E, the horizontal axis represents physical positions on the chromosome. In FIGS. 1A to E, genetic recombination rates estimated from 1000 genome samples of Japanese (JPT) in Tokyo and Han Chinese (CHB) in Beijing are shown by lines. Contrasting densities of individual plots represent linkage disequilibrium (LD) on the scale of r2=0 to 1. In the region containing SNPs pointed by arrows in the figures, SNPs close to r2=1.0 are densely present. The lower stages of regional association plots of FIGS. 1A to E show gene annotations, which are available at the genome browser developed by the University of California, Santa Cruz.


[Predictive Scoring System]


In this Example, a predictive scoring system for evaluating trastuzumab-induced cardiotoxicity was constructed using 5 SNPs identified as described above. The 5 SNPs (rs9316695, rs28415722, rs7406710, rs11932853 and rs8032978), which showed the lowest P value in the combination analysis, were regarded as independent predictive factors for trastuzumab-induced cardiotoxicity by logistic regression analysis. Accordingly, genotypes of these 5 SNPs were used in combination to construct a scoring system in this Example.


The predictive scoring system is a system in which scores are given to individual patients in consideration of the genotypes and the number of risk alleles.


To describe more specifically, with respect to rs28415722 and rs7406710, a score of 2 was given to an individual having homozygous risk alleles, whereas a score of 0 was given to an individual having other genotypes. This is because these rs28415722 and rs7406710 showed the lowest P value in recessive genetic models.


In contrast, with respect to rs9316695, rs11932853 and rs8032978, a score of 2 was given to an individual having homozygous risk alleles; a score of 1 was given to an individual having heterozygous risk alleles; and a score of 0 was given to an individual having homozygous non-risk alleles. In this Example, the scores given to individual gene polymorphisms were added up and the total score was obtained per individual. The results are shown in Table 3.














TABLE 3







Total
Number of persons (%)
Ratio of
P

















score
Case
Control
cases (%)
value

Odds ratio (95% CI)





















0
0 (0.0) 
53 (11.6)









1
0 (0.0) 
93 (20.4)









2
3 (12.0)
109 (23.9) 
1.8

{close oversize bracket}
1.00 (reference) 





3
2 (8.0) 
111 (24.3) 









4
3 (12.0)
67 (14.7)





{close oversize bracket}
P = 7.82 × 10−15


5
8 (32.0)
14 (3.1) 
36.4
6.68 × 10−8

30.9 (10.1-94.3) 


Odds ratio = 40.0


6
2 (8.0) 
7 (1.5)
22.2
1.47 × 10−2

15.5 (2.8-86.4) 


(95% CI, 15.6-102.3)


7
3 (12.0)
1 (0.2)
75.0
4.46 × 10−5

162.4 (15.2-1734.8)
{close oversize bracket}




8
4 (16.0)
1 (0.2)
80.0
1.50 × 10−6

216.5 (21.7-2159.8)





CI: confidence interval






As shown in Table 3, the predictive scoring system constructed in this Example made it possible to classify patients into 9 groups (total score: 0, 1, 2, 3, 4, 5, 6, 7 or 8). There was a tendency that the higher the score for prediction, the higher the ratio of patients developing trastuzumab-induced cardiotoxicity. More specifically, in the group having a total score of 0 to 4, the ratio of cases (ratio of patients developing trastuzumab-induced cardiotoxicity) was 1.8% ( 8/441). This ratio was 36.4% ( 8/22) in the group having a total score of 5, 22.2% ( 2/9) in the group having a total score of 6, 75.0% (¾) in the group having a total score of 7, and 80.0% (⅘) in the group having a total score of 8.


In this Example, in consideration of the sensitivity (68.0%) and specificity (95.0%) of the predictive scoring system, study was conducted by dividing the patients into two groups, i.e., a group having a total score of 0 to 4 and a group having a total score of 5 to 8. As a result, as shown in FIG. 2, the incidence rates of trastuzumab-induced cardiotoxicity in the group having a total score of 5 to 8 were 45.8% ( 11/24), 37.5% ( 6/16) and 42.5% ( 17/40) in GWAS, follow-up study and combination analysis thereof, respectively, whereas the incidence rates were 0% ( 0/244), 4.1% ( 8/197) and 1.8% ( 8/441) in the group having a total score of 0 to 4. This demonstrates that onset of trastuzumab-induced cardiotoxicity can be effectively predicted before starting a treatment with trastuzumab according to the predictive scoring system using the 5 SNPs mentioned above (Pcombined=7.82×10−15, odds ratio=40.0, 95% confidence interval=15.6 to 102.3).


[Gene Polymorphism in Genetic Linkage]


In this Example, a gene polymorphism in linkage disequilibrium or genetic linkage was searched with respect to each of the 5 SNPs (rs9316695, rs28415722, rs7406710, rs11932853 and rs8032978). More specifically, data of 1000 Genomes Project were searched to find a gene polymorphism satisfying the conditions that r2 is a predetermined value or more with respect to each SNP and a minor allele frequency (MAF) is a predetermined value or more (0.01). The gene polymorphism was defined as a gene polymorphism in linkage disequilibrium or genetic linkage with the SNP. As the gene polymorphism satisfying r2≥0.4 with respect to rs9316695, 74 gene polymorphisms shown in Table 4 were identified.
















TABLE 4











Minor






Reference
Alternative
Minor
allele



SNP
Locationa
Type
allelea
allelea
allele
frequency
r2







rs4597194
54599654
SNP
C
T
T
0.116
1.000





rs67371330
54600359
SNP
G
A
A
0.116
1.000





rs9527155
54601173
SNP
G
A
A
0.116
1.000





rs73197793
54603016
SNP
A
G
G
0.116
1.000





rs9527156
54603479
SNP
C
T
T
0.116
1.000





rs9536600
54603549
SNP
T
C
C
0.116
1.000





rs9536601
54604128
SNP
T
G
G
0.116
1.000





rs9527157
54604157
SNP
G
C
C
0.116
1.000





rs9596894
54604722
SNP
A
C
C
0.116
1.000





rs9536604
54607416
SNP
T
C
C
0.116
1.000





rs9536605
54607479
SNP
G
C
C
0.116
1.000





rs9536606
54607518
SNP
C
T
T
0.116
1.000





rs9596895
54609719
SNP
A
G
G
0.116
1.000





rs12585722
54610042
SNP
T
C
C
0.116
1.000





rs9536608
54611679
SNP
C
T
T
0.116
1.000





rs9536610
54611850
SNP
G
A
A
0.116
1.000





rs4884826
54612274
SNP
T
C
C
0.116
1.000





rs147044674
54612330
SNP
C
T
T
0.116
1.000





rs201449129
54612795
Indel
AC
A
A
0.116
1.000





rs199694348
54612803
Indel
TG
T
T
0.116
1.000





rs146020011
54613130
SNP
T
C
C
0.116
1.000





rs9536611
54613563
SNP
A
G
G
0.116
1.000





rs9536612
54613571
SNP
A
C
C
0.116
1.000





rs67998663
54613871
SNP
A
G
G
0.116
1.000





rs9536613
54614847
SNP
A
T
T
0.116
1.000





rs9596896
54614866
SNP
G
C
C
0.116
1.000





rs9536614
54615113
SNP
A
T
T
0.116
1.000





rs144930433
54615315
Indel
CA
C
C
0.116
1.000





rs144567553
54615571
Indel
ATAGAT
A
A
0.116
1.000





rs9596897
54615729
SNP
C
T
T
0.116
1.000





rs4572266
54616772
SNP
G
C
C
0.116
1.000





rs7330060
54618139
SNP
G
A
A
0.116
1.000





rs9527161
54618390
SNP
C
T
T
0.116
1.000





rs4584708
54620094
SNP
T
A
A
0.116
1.000





rs4640062
54621749
SNP
T
C
C
0.116
1.000





rs140902703
54622772
SNP
G
A
A
0.116
1.000





rs143148342
54624548
Indel 
ACCTATAGTC
A
A
0.116
1.000





rs17089212
54633571
SNP
C
T
T
0.116
1.000





rs2104970
54603212
SNP
G
C
C
0.115
0.990





rs9536598
54595870
SNP
T
C
C
0.116
0.981





rs9527160
54613415
SNP
C
T
T
0.119
0.972





rs4883836
54611988
SNP
C
T
T
0.15
0.745





rs150544413
54631666
Indel
A
AAATAATAAT
AAATAATAAT
0.085
0.710





rs11616925
54593774
SNP
G
C
C
0.134
0.686





rs9536595
54595054
SNP
A
G
G
0.134
0.686





rs7334767
54570654
SNP
T
C
C
0.137
0.652





rs59300548
54603014
SNP
A
G
G
0.171
0.638





rs9536609
54611716
SNP
T
G
G
0.171
0.638





rs4883837
54612146
SNP
T
C
C
0.171
0.638





rs11617903
54614352
SNP
A
G
G
0.171
0.638





rs7993293
54637297
SNP
G
A
A
0.076
0.630





rs9536620
64639898
SNP
A
G
G
0.076
0.630





rs9536619
54634578
SNP
C
A
A
0.075
0.621





rs58440048
54645035
Indel
AAAAC
AAAACAAAC
AAAACAAAC
0.075
0.621





rs10585368
54646030
Indel
GAGA
G
G
0.075
0.621





rs9527169
54647817
SNP
A
G
G
0.075
0.621





rs529033940
54644705
SNP
G
A
A
0.074
0.612





rs17089149
54577597
SNP
C
A
A
0.163
0.511





rs1572184
64603148
SNP
G
T
G
0.216
0.476





rs2050281
54605052
SNP
G
A
G
0.216
0.476





rs12870784
54605940
SNP
G
A
G
0.216
0.476





rs2210644
54571858
SNP
G
C
C
0.182
0.454





rs9536584
54575712
SNP
G
A
A
0.18
0.449





rs9536586
54577963
SNP
G
A
A
0.18
0.449





rs9536588
54579343
SNP
C
T
T
0.18
0.449





rs9536589
54579358
SNP
G
A
A
0.18
0.449





rs4275742
54581241
SNP
G
C
C
0.18
0.449





rs78202205
54616146
SNP
T
C
C
0.056
0.448





rs67234964
54611555
Indel
C
CAA
C
0.227
0.447





rs145327528
54591861
Indel
G
GGGAA
GGGAA
0.196
0.419





rs12583122
54586240
SNP
G
A
A
0.199
0.410





rs17089167
54586840
SNP
T
G
G
0.199
0.410





rs4523820
54587973
SNP
G
A
A
0.199
0.410





rs7994759
54588151
SNP
T
C
C
0.199
0.410






a: based on GRCh37 genome assembly



SNP: single nucleotide polymorphism,


Indel (insertion/deletion): insertion/deletion,


r2: linkage disequilibrium coefficient






As the gene polymorphism satisfying r2≥0.2 with respect to rs28415722, 248 gene polymorphisms shown in Table 5 were identified.
















TABLE 5











Minor






Reference
alternative
Minor
allele



SNP
Locationa
Type
allelea
allelea
allele
frequency
r2







rs28728168
98611986
SNP
G
A
A
0.387
1.000





rs11854776
98613684
SNP
G
A
A
0.387
1.000





rs1383149
98610131
SNP
A
G
G
0.388
0.996





rs4144489
98614923
SNP
T
C
C
0.389
0.992





rs13329373
98614824
SNP
G
A
A
0.390
0.988





rs12592103
98616662
SNP
T
C
C
0.390
0.988





rs2086366
98617241
SNP
C
T
T
0.389
0.983





rs12372962
98617828
SNP
T
C
C
0.392
0.979





rs28787308
98599510
SNP
G
A
A
0.391
0.975





rs4441250
98602241
SNP
C
T
T
0.391
0.975





rs11247348
98602847
SNP
G
A
A
0.391
0.975





rs1993976
98606313
SNP
G
A
A
0.396
0.955





rs1118043
98605348
SNP
C
T
T
0.397
0.951





rs2127556
98605613
SNP
A
T
T
0.397
0.951





rs8027435
98624886
SNP
A
G
G
0.378
0.889





rs202050468
98605113
Indel
CTTTTT
C
C
0.330
0.625





rs28477300
98596649
SNP
C
T
C
0.478
0.578





rs11421357
98611315
Indel
C
CA
C
0.477
0.576





rs12148125
98608746
SNP
T
C
T
0.476
0.574





rs12148342
98608818
SNP
A
G
A
0.476
0.574





rs28424020
98615147
SNP
C
T
C
0.476
0.574





rs28622146
98596697
SNP
G
A
G
0.475
0.571





rs28852783
98597574
SNP
C
T
C
0.475
0.571





rs74537059
98598676
SNP
T
C
T
0.475
0.571





rs4144488
98608281
SNP
G
A
G
0.475
0.571





rs12148124
98608693
SNP
T
C
T
0.475
0.571





rs1480097
98611412
SNP
C
G
C
0.478
0.571





rs60452357
98596812
Indel
C
CA
C
0.474
0.569





rs28547243
98596943
SNP
T
C
T
0.474
0.569





rs200378270
98597464
Indel
ATC
A
ATC
0.474
0.569





rs28881820
98597509
SNP
A
T
A
0.474
0.569





rs28786836
98597612
SNP
T
C
T
0.474
0.569





rs79151393
98598194
Indel
A
MT
A
0.474
0.569





rs76681857
98598290
Indel
A
AT
A
0.474
0.569





rs62026165
98598400
SNP
T
C
T
0.474
0.569





rs62026166
98598403
SNP
C
T
C
0.474
0.569





rs67260482
98598534
SNP
G
T
G
0.474
0.569





rs67176041
98598634
SNP
A
G
A
0.474
0.569





rs113000837
98598684
Indel
TAC
T
TAC
0.474
0.569





rs112082590
98617116
Indel
G
GT
G
0.474
0.569





rs79186877
98617119
SNP
C
A
C
0.474
0.569





rs12593815
98596529
SNP
C
T
C
0.473
0.567





rs67544351
98598602
SNP
C
G
C
0.473
0.567





rs66460935
98598641
SNP
A
G
A
0.473
0.567





rs28831185
98599246
SNP
T
G
T
0.473
0.567





rs112350672
98599529
Indel
TA
T
TA
0.473
0.567





rs9920073
98599660
SNP
T
C
T
0.473
0.567





rs28856352
98599686
SNP
G
A
G
0.473
0.567





rs9920491
98599761
SNP
C
T
C
0.473
0.567





rs9920100
98599946
SNP
T
C
T
0.473
0.567





rs899668
98601467
SNP
G
A
G
0.473
0.567





rs899670
98601779
SNP
T
C
T
0.473
0.567





rs899671
98601846
SNP
G
T
G
0.473
0.567





rs1600527
98604458
SNP
C
T
C
0.473
0.567





rs1842330
98604647
SNP
A
G
A
0.473
0.567





rs28886127
98599288
SNP
C
T
C
0.472
0.565





rs28763397
98599289
SNP
A
G
A
0.472
0.565





rs899669
98601721
SNP
C
T
C
0.472
0.565





rs2310786
98602642
SNP
T
C
T
0.472
0.565





rs2219877
98604007
SNP
A
G
A
0.472
0.565





rs28688638
98620941
SNP
T
C
T
0.472
0.565





rs66514354
98598500
SNP
C
G
C
0.475
0.564





rs28762186
98599355
SNP
G
T
G
0.475
0.564





rs5814843
98601416
Indel
G
GT
G
0.475
0.564





rs113548268
98600941
Indel
C
CTTTTGTTTT
C
0.477
0.562






GTTT








rs28529334
98597229
SNP
C
A
C
0.468
0.556





rs28482307
98597252
SNP
C
T
C
0.468
0.556





rs28713196
98597269
SNP
A
T
A
0.468
0.556





rs28524985
98597280
SNP
A
T
A
0.468
0.556





rs1480096
98605991
SNP
C
T
C
0.468
0.556





rs7178508
98606157
SNP
C
G
C
0.467
0.554





rs2127555
98605496
SNP
C
A
C
0.466
0.551





rs7182053
98623689
SNP
A
G
A
0.487
0.507





rs8024637
98624500
SNP
C
T
C
0.487
0.507





rs4965928
98595970
SNP
G
C
G
0.475
0.480





rs4500701
98588488
SNP
G
A
G
0.489
0.444





rs899672
98627683
SNP
T
G
T
0.477
0.438





rs12148884
98601045
SNP
A
T
T
0.218
0.435





rs11247343
98597809
SNP
T
C
C
0.407
0.433





rs4305003
98600728
SNP
A
G
G
0.217
0.432





rs72756784
98611504
SNP
C
G
G
0.213
0.430





rs11857308
98615560
SNP
C
T
T
0.216
0.429





rs72756793
98617306
SNP
T
C
C
0.216
0.429





rs144244319
98599378
Indel
A
AC
AC
0.215
0.427





rs72756771
98604999
SNP
C
G
G
0.215
0.427





rs201638246
98605130
SNP
T
A
A
0.220
0.424





rs59400223
98615970
SNP
G
T
T
0.213
0.422





rs8041025
98624655
SNP
G
C
C
0.214
0.417





rs56254795
98620203
SNP
A
C
C
0.216
0.414





rs56087861
98620322
SNP
G
C
C
0.216
0.414





rs72756798
98623290
SNP
A
T
T
0.215
0.411





rs899673
98627699
SNP
G
A
G
0.487
0.401





rs7165184
98584277
SNP
C
T
T
0.486
0.399





rs2170105
98629534
SNP
C
T
C
0.486
0.399





rs190524788
98545559
SNP
T
C
T
0.336
0.388





rs145368286
98546400
SNP
C
T
C
0.335
0.385





rs72756742
98584928
SNP
C
A
A
0.219
0.383





rs58965013
98589858
SNP
G
A
A
0.218
0.381





rs2310788
98631862
SNP
A
G
A
0.486
0.380





rs200379847
98649579
SNP
C
T
C
0.490
0.372





rs12439514
98649075
SNP
G
A
G
0.491
0.370





rs9744177
98649281
SNP
C
T
C
0.492
0.368





rs4340314
98647382
SNP
C
T
C
0.489
0.362





rs7170047
98640071
SNP
C
A
A
0.481
0.356





rs145073022
98638357
Indel
T
TG
TG
0.492
0.355





rs59673774
98640488
SNP
C
T
T
0.495
0.355





rs1973203
98646197
SNP
G
T
G
0.498
0.355





rs7174886
98636405
SNP
T
C
C
0.498
0.354





rs4966026
98633358
SNP
C
T
T
0.493
0.353





rs6598551
98635858
SNP
A
G
G
0.496
0.353





rs7163138
98636442
SNP
A
C
C
0.496
0.353





rs11854601
98643174
SNP
C
G
G
0.496
0.353





rs899666
98646537
SNP
C
T
C
0.499
0.352





rs7171284
98646791
SNP
A
G
G
0.497
0.351





rs7169062
98646809
SNP
C
G
G
0.497
0.351





rs7171511
98646948
SNP
A
G
G
0.497
0.351





rs7178632
98650798
SNP
G
A
G
0.494
0.351





rs28476632
98582877
SNP
C
G
C
0.497
0.349





rs10660160
98634213
Indel
C
CAG
CAG
0.495
0.349





rs7163125
98634919
SNP
T
C
C
0.495
0.349





rs35915991
98642510
Indel
AT
A
A
0.481
0.347





rs7169617
98644429
SNP
T
C
C
0.493
0.347





rs2871595
98627997
SNP
T
C
C
0.224
0.345





rs139776752
98636835
SNP
G
C
C
0.491
0.345





rs7169876
98637621
SNP
A
G
G
0.491
0.345





rs59784745
98642860
SNP
T
C
C
0.491
0.345





rs34967522
98583771
Indel
GT
G
GT
0.488
0.342





rs58591739
98646312
SNP
C
A
A
0.491
0.340





rs77673781
98626738
SNP
G
A
A
0.207
0.339





rs77476477
98647486
SNP
G
A
A
0.207
0.339





rs74848179
98639180
SNP
C
T
T
0.489
0.338





rs28804986
98565780
SNP
G
A
G
0.497
0.337





rs8026981
98574201
SNP
T
C
T
0.495
0.335





rs149769916
98637469
SNP
T
A
A
0.485
0.335





rs67999313
98578726
Indel
A
AT
A
0.496
0.333





rs34527695
98559566
Indel
GC
G
GC
0.496
0.332





rs7172170
98583617
SNP
C
T
T
0.497
0.331





rs2089
98610817
SNP
G
A
A
0.173
0.331





rs72756785
98611915
SNP
G
A
A
0.173
0.331





rs62026191
98612063
SNP
G
A
A
0.173
0.331





rs76137345
98614251
Indel
C
CT
CT
0.173
0.331





rs112123401
98561969
Indel
TCTACCTCCC
T
TCTACCTCC
0.498
0.329





CCAG

CCCAG







rs7171292
98563397
SNP
T
C
T
0.498
0.329





rs7167815
98563790
SNP
C
T
C
0.498
0.329





rs28531668
98561379
SNP
C
T
C
0.497
0.325





rs4321178
98659387
SNP
T
C
T
0.322
0.324





rs72756790
98616390
SNP
C
T
T
0.173
0.323





rs2086365
98617199
SNP
C
T
T
0.173
0.323





rs201660876
98627210
Indel
GAAA
G
G
0.215
0.323





rs55693761
98629345
SNP
C
A
A
0.215
0.323





rs56361500
98629629
SNP
A
G
G
0.215
0.323





rs28816992
98618123
SNP
C
A
A
0.172
0.320





rs59699060
98631446
Indel
CGAGA
C
C
0.216
0.319





rs62026167
98608618
SNP
C
A
A
0.171
0.318





rs28872593
98597569
SNP
T
C
C
0.174
0.317





rs4598889
98560885
SNP
A
C
A
0.496
0.316





rs4561450
98569809
SNP
G
T
G
0.213
0.310





rs4246339
98595622
SNP
G
A
A
0.176
0.307





rs78382254
98599285
SNP
A
G
G
0.176
0.307





rs28421057
98576914
SNP
T
A
T
0.208
0.305





rs28694303
98577730
SNP
T
C
T
0.208
0.305





rs4448919
98663026
SNP
G
A
G
0.334
0.305





rs28415561
98576763
SNP
A
G
A
0.212
0.300





rs12148823
98646562
SNP
C
G
G
0.216
0.298





rs7183126
98646911
SNP
T
C
C
0.216
0.298





rs11858646
98647987
SNP
G
C
C
0.216
0.298





rs62026209
98646295
SNP
G
A
A
0.215
0.296





rs111412942
98647450
SNP
G
A
A
0.215
0.296





rs62024083
98648336
SNP
C
T
T
0.215
0.295





rs113693221
98647460
SNP
G
T
T
0.217
0.294





rs12148449
98646502
SNP
A
T
T
0.214
0.293





rs12148742
98646806
SNP
G
A
A
0.211
0.293





rs62026207
98645572
SNP
G
A
A
0.216
0.292





rs62026208
98646061
SNP
G
A
A
0.213
0.291





rs201016517
98581250
Indel
CTT
C
CTT
0.195
0.288





rs11855844
98645222
SNP
G
A
A
0.212
0.288





rs4102909
98650803
SNP
C
T
C
0.228
0.287





rs11856483
98651114
SNP
G
T
T
0.217
0.287





rs28409382
98561487
SNP
A
G
A
0.211
0.284





rs59256589
98634901
SNP
C
T
T
0.209
0.281





rs62026196
98634373
SNP
C
T
T
0.208
0.279





rs58535173
98634730
SNP
G
A
A
0.208
0.279





rs142419518
98638029
SNP
A
G
G
0.208
0.279





rs34544919
98641256
SNP
G
C
C
0.208
0.279





rs62026205
98644144
SNP
G
A
A
0.208
0.279





rs56753756
98644443
SNP
G
A
A
0.208
0.279





rs79875962
98605534
SNP
G
A
A
0.148
0.275





rs12593369
98624180
SNP
T
C
C
0.162
0.275





rs11433091
98625993
Indel
C
CG
CG
0.165
0.274





rs11247363
98623942
SNP
C
T
T
0.164
0.272





rs11247364
98623984
SNP
A
T
T
0.164
0.272





rs11247366
98624159
SNP
T
A
A
0.164
0.272





rs12591387
98624251
SNP
G
T
T
0.164
0.272





rs12594533
98624254
SNP
A
G
G
0.164
0.272





rs12592382
98624268
SNP
C
A
A
0.164
0.272





rs8040797
98624483
SNP
G
C
C
0.164
0.272





rs8024782
98624605
SNP
C
T
T
0.164
0.272





rs62026194
98633560
SNP
G
A
A
0.205
0.271





rs149652096
98637626
SNP
G
T
T
0.205
0.271





rs113666132
98624365
Indel
T
TTGAA
TTGAA
0.163
0.270





rs8038239
98624981
SNP
T
C
C
0.163
0.270





rs145372032
98625370
Indel
ATAAT
A
A
0.163
0.270





rs74496658
98612031
SNP
G
A
A
0.143
0.264





rs11247360
98622378
SNP
A
G
G
0.160
0.263





rs66603848
98578345
Indel
C
CT
CT
0.406
0.259





rs4965371
98590218
SNP
C
T
T
0.149
0.254





rs56397226
98647293
SNP
T
A
A
0.227
0.253





rs76212696
98627021
Indel
CTG
C
C
0.167
0.243





rs28755859
98558204
SNP
C
A
C
0.218
0.236





rs28516952
98558208
SNP
C
A
C
0.218
0.236





rs9672462
98558116
SNP
G
A
G
0.217
0.233





rs9672677
98558480
SNP
A
C
A
0.217
0.233





rs113071929
98581799
Indel
AT
A
AT
0.268
0.233





rs12595170
98656293
SNP
T
C
T
0.477
0.233





rs369284370
98559520
Indel
TTCTC
T
TTCTC
0.222
0.232





rs7495211
98559756
SNP
C
T
C
0.223
0.228





rs751483
98628640
SNP
A
G
G
0.157
0.228





rs139593401
98629687
Indel
AGGGAGGAG
A
A
0.157
0.228





GAGGAAGAG









GGAAAG









rs12439362
98655739
SNP
G
C
G
0.462
0.227





rs12438268
98661409
SNP
G
C
G
0.462
0.227





rs9672473
98558115
SNP
A
T
A
0.214
0.226





rs9672826
98558426
SNP
T
C
T
0.214
0.226





rs9806583
98558944
SNP
T
C
T
0.222
0.226





rs9806588
98559015
SNP
T
C
T
0.222
0.226





rs11247384
98655981
SNP
G
A
G
0.460
0.225





rs9672593
98558065
SNP
T
C
T
0.213
0.224





rs9330523
98558068
SNP
A
G
A
0.213
0.224





rs9672475
98558197
SNP
A
C
A
0.241
0.224





rs77969302
98559410
Indel
CAGG
C
CAGG
0.224
0.224





rs148140419
98629463
Indel
AAAAAAT
A
A
0.158
0.223





rs12441935
98661552
SNP
A
T
A
0.459
0.222





rs984998
98661994
SNP
G
A
G
0.459
0.222





rs72758712
98630299
SNP
A
G
G
0.154
0.221





rs139378984
98642497
Indel
G
GT
GT
0.173
0.220





rs12441957
98661587
SNP
A
G
A
0.460
0.220





rs12912787
98559120
SNP
T
C
C
0.219
0.219





rs72758714
98631507
SNP
G
A
A
0.153
0.219





rs984999
98662309
SNP
A
C
A
0.457
0.216





rs55978834
98653915
SNP
A
G
G
0.169
0.214





rs7179988
98638305
SNP
G
C
C
0.150
0.212





rs72758718
98641355
SNP
T
C
C
0.150
0.212





rs72758720
98642095
SNP
T
C
C
0.150
0.212





rs143988409
98643399
Indel
CATTAT
C
C
0.153
0.212





rs7180674
98644635
SNP
A
G
G
0.150
0.212





rs28671427
98583904
SNP
T
C
C
0.160
0.206





rs7163855
98646496
SNP
G
A
A
0.144
0.206





rs28368406
98583916
SNP
T
C
C
0.158
0.202





rs34610227
98625340
Indel
C
CA
CA
0.124
0.201






a: based on GRCh37 genome assembly



SNP: single nucleotide polymorphism,


Indel (insertion/deletion): insertion/deletion,


r2: linkage disequilibrium coefficient






As the gene polymorphism satisfying r2≥0.2 with respect to rs7406710, 50 gene polymorphisms shown in Table 6 were identified.
















TABLE 6








Reference
Alternative
Minor
Minor allele



SNP
Location a
Type
allele a
allele a
allele
frequency
r2






















rs8081479
79509589
SNP
C
G
G
0.118
0.463


rs7406026
79513126
SNP
T
A
T
0.369
0.462


rs7405590
79515660
SNP
A
G
A
0.370
0.460


rs72854495
79511566
SNP
G
A
A
0.117
0.459


rs7405588
79515636
SNP
G
T
T
0.117
0.459


rs74530133
79516050
SNP
C
T
C
0.371
0.458


rs7405749
79509625
SNP
T
A
A
0.120
0.450


rs7406506
79510899
SNP
A
G
A
0.381
0.446


rs7405641
79506890
SNP
T
C
T
0.382
0.444


rs11552304
79514129
SNP
G
A
G
0.379
0.442


rs7405532
79506811
SNP
A
G
A
0.383
0.442


rs71675424
79507107
Indel
CG
C
CG
0.383
0.442


rs62076028
79508263
SNP
A
G
A
0.383
0.442


rs58483803
79508484
SNP
G
A
G
0.383
0.442


rs11869448
79511379
SNP
G
A
G
0.380
0.440


rs11870015
79511815
SNP
C
A
C
0.380
0.440


rs8074089
79512567
SNP
C
T
C
0.380
0.440


rs7405522
79506761
SNP
C
G
C
0.384
0.440


rs7224579
79514832
SNP
G
A
G
0.380
0.440


rs6565593
79515075
SNP
A
G
A
0.381
0.438


rs6565590
79505759
SNP
G
A
A
0.112
0.437


rs6565592
79505883
SNP
T
G
T
0.385
0.431


rs72854500
79522734
SNP
G
A
A
0.113
0.430


rs4076968
79519382
SNP
G
A
G
0.393
0.408


rs7213717
79521181
SNP
C
T
C
0.399
0.398


rs78537846
79521978
SNP
G
A
A
0.378
0.391


rs9675106
79522024
SNP
T
A
A
0.380
0.387


rs6565595
79521649
SNP
G
C
G
0.389
0.386


rs7207933
79521239
SNP
T
G
T
0.391
0.382


rs60016321
79522147
SNP
C
T
C
0.392
0.380


rs112791119
79522032
SNP
T
A
A
0.378
0.376


rs77387916
79510265
SNP
G
A
A
0.105
0.374


rs74818865
79514028
SNP
C
G
G
0.105
0.374


rs7207958
79521295
SNP
G
A
A
0.393
0.371


rs12453887
79523741
SNP
G
A
A
0.391
0.339


rs11150795
79524971
SNP
G
A
A
0.119
0.331


rs12675
79507272
SNP
G
A
A
0.114
0.322


rs61430049
79508942
SNP
A
G
G
0.115
0.317


rs112930265
79522049
Indel
CT
C
C
0.434
0.313


rs6565591
79505878
SNP
C
T
C
0.485
0.293


rs8068081
79524882
SNP
C
T
T
0.095
0.291


rs6565596
79525118
SNP
T
G
T
0.416
0.286


rs8068511
79524790
SNP
T
A
T
0.418
0.282


rs3924327
79518369
SNP
A
G
A
0.483
0.275


rs61655749
79505445
SNP
G
A
G
0.234
0.233


rs34797307
79496289
SNP
G
A
A
0.067
0.228


rs35789723
79612621
SNP
G
A
A
0.078
0.221


rs2075722
79503472
SNP
A
G
G
0.070
0.219


rs7406756
79575398
SNP
G
A
A
0.080
0.219


rs7406904
79619459
SNP
A
T
T
0.077
0.207






a based on GRCh37 genome assembly



SNP: single nucleotide polymorphism,


Indel (insertion/deletion): insertion/deletion,


r2: linkage disequilibrium coefficient






As the gene polymorphism satisfying r2≥0.8 with respect to rs11932853, 3 gene polymorphisms shown in Table 7 were identified.
















TABLE 7











Minor






Reference
Alternative
Minor
allele



SNP
Locationa
Type
allelea
allelea
allele
frequency
r2







rs13128178
112021897
SNP
G
A
G
0.454
1.000





rs13103305
112021953
SNP
T
C
T
0.454
1.000





rs34290584
112022252
lndel
TGAGA
T
TGAGA
0.453
0.996






a: based on GRCh37 genome assembly



SNP: single nucleotide polymorphism,


Indel (insertion/deletion): insertion/deletion,


r2: linkage disequilibrium coefficient






As the gene polymorphism satisfying r2≥0.6 with respect to rs8032978, 28 gene polymorphisms shown in Table 8 were identified.
















TABLE 8








Reference
Alternative

Minor allele



SNP
Location a
Type
allele a
allele a
Minorallele
frequency
r2






















rs8033540
101800094
SNP
A
G
G
0.114
1.000


rs8033003
101799843
SNP
A
T
T
0.113
0.990


rs28863221
101799970
SNP
C
T
T
0.115
0.990


rs28770217
101800037
SNP
G
A
A
0.115
0.990


rs111829181
101798567
Indel
CTG
C
C
0.112
0.980


rs55957523
101796090
SNP
T
C
C
0.111
0.971


re28609156
101795826
SNP
C
A
A
0.112
0.961


rs28690028
101796748
SNP
G
A
A
0.110
0.961


rs28665122
101817727
SNP
C
T
T
0.103
0.893


rs7172856
101795153
SNP
G
A
A
0.096
0.827


rs143956992
101807330
SNP
T
C
C
0.087
0.723


rs117531330
101808343
SNP
T
C
C
0.087
0.723


rs77343149
101808400
SNP
G
C
C
0.087
0.723


rs74563564
101810403
SNP
G
A
A
0.088
0.713


rs149545605
101812368
SNP
T
A
A
0.088
0.713


rs11327127
101818159
Indel
GA
G
G
0.103
0.706


rs117512970
101814405
SNP
C
T
T
0.087
0.704


rs74041962
101823384
SNP
C
T
T
0.089
0.612


rs59542966
101824568
SNP
C
T
T
0.089
0.612


rs2898864
101829502
SNP
C
G
G
0.089
0.612


rs4275835
101829666
SNP
G
A
A
0.089
0.612


rs111447514
101829888
SNP
G
A
A
0.089
0.612


rs61276520
101833106
SNP
A
G
G
0.089
0.612


rs60105028
101833806
SNP
T
C
C
0.089
0.612


rs75348190
101792183
SNP
G
A
A
0.078
0.603


rs1545855
101831678
SNP
C
T
T
0.090
0.603


rs74041979
101834118
SNP
T
G
G
0.090
0.603


rs59199124
101834463
SNP
G
A
A
0.088
0.603






a based on GRCh37 genome assembly



SNP: angle nucleotide polymorphism,


Indel (insertion/deletion): insertion/deletion,


r2: linkage disequilibrium coefficient






All publications, patents and patent applications cited in the present specification are incorporated herein in their entirety by reference.

Claims
  • 1. A method comprising steps of: analyzing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978 or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism present in genomic DNA of a biological sample taken from a subject; determining the genotype of the gene polymorphism; and determining a side effect from administration of trastuzumab based on the determined genotype.
  • 2. The method according to claim 1, wherein the gene polymorphism specified by rs9316695 is located on a long arm of chromosome 13 (13q14.3) and is a single nucleotide polymorphism having cytosine as wild-type and adenine as mutant.
  • 3. The method according to claim 1, wherein, in the gene polymorphism specified by rs9316695, a mutant is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of wild-type homozygosity, a possibility of developing a side effect of trastuzumab is high in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.
  • 4. The method according to claim 1, wherein the gene polymorphism specified by rs11932853 is located on a long arm of chromosome 4 (4q25) and is a single nucleotide polymorphism having thymine as wild-type and cytosine as mutant.
  • 5. The method according to claim 1, wherein, in the gene polymorphism specified by rs11932853, a wild-type is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of mutant homozygosity, a possibility of developing a side effect of trastuzumab is high in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of wild-type homozygosity.
  • 6. The method according to claim 1, wherein the gene polymorphism specified by rs28415722 is located on a long arm of chromosome 15 (15q26.3) and is a single nucleotide polymorphism having guanine as wild-type and adenine as mutant.
  • 7. The method according to claim 1, wherein, in the gene polymorphism specified by rs28415722, a mutant is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of wild-type homozygosity, a possibility of developing a side effect of trastuzumab is low in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.
  • 8. The method according to claim 1, wherein the gene polymorphism specified by rs7406710 is located on a long arm of chromosome 17 (17q25.3) and is a single nucleotide polymorphism having cytosine as wild-type and thymine as mutant.
  • 9. The method according to claim 1, wherein, in the gene polymorphism specified by rs7406710, a wild-type is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of mutant homozygosity, a possibility of developing a side effect of trastuzumab is low in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of wild-type homozygosity.
  • 10. The method according to claim 1, wherein the gene polymorphism specified by rs8032978 is located on a long arm of chromosome 15 (15q26.3) and is a single nucleotide polymorphism having adenine as wild-type and guanine as mutant.
  • 11. The method according to claim 1, wherein, in the gene polymorphism specified by rs8032978, a mutant is a risk allele; and it is determined that a possibility of developing a side effect of trastuzumab is low in a case of wild-type homozygosity, a possibility of developing a side effect of trastuzumab is high in a case of mutant/wild-type heterozygosity, and a possibility of developing a side effect of trastuzumab is higher in a case of mutant homozygosity.
  • 12. The method according to claim 1, wherein the subject is a patient with cancer which is observed to have overexpression of HER2.
  • 13. The method according to claim 12, wherein the cancer is breast cancer or stomach cancer.
  • 14. The method according to claim 1, wherein the side effect is at least one selected from heart failure, cardiogenic shock, pulmonary edema, pericardial effusion, cardiomyopathy, pericarditis, arrhythmia and bradycardia.
  • 15. A probe set for determining a side effect from administration of trastuzumab, comprising an oligonucleotide that hybridizes, under stringent conditions, with a region of consecutive 5 to 50 nucleotides containing a gene polymorphism specified by one selected from the group consisting of rs9316695, rs11932853, rs28415722, rs7406710 and rs8032978, or a gene polymorphism in linkage disequilibrium or genetic linkage with the gene polymorphism.
  • 16. The probe set for determining a side effect according to claim 15, comprising a wild-type probe corresponding to a wild-type in the gene polymorphism and a mutant probe corresponding to a mutant in the gene polymorphism.
Priority Claims (1)
Number Date Country Kind
2019-041127 Mar 2019 JP national
PCT Information
Filing Document Filing Date Country Kind
PCT/JP2020/009707 3/6/2020 WO 00