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Genetic variants in DNA repair genes as potential predictive markers for oxaliplatin chemotherapy in colorectal cancer.

ABSTRACT: Oxaliplatin-based chemotherapy exerts its effects through generating DNA damage. Hence, genetic variants in DNA repair pathways could modulate treatment response. We used a prospective cohort of 623 colorectal cancer patients with stage II-IV disease treated with adjuvant/palliative chemotherapy to comprehensively investigate 1727 genetic variants in the DNA repair pathways as potential predictive markers for oxaliplatin treatment. Single nucleotide polymorphisms (SNP) associations with overall survival and recurrence-free survival were assessed using a Cox regression model. Pathway analysis was performed using the gamma method. Patients carrying variant alleles of rs3783819 (MNAT1) and rs1043953 (XPC) experienced a longer overall survival after treatment with oxaliplatin than patients who did not carry the variant allele, while the opposite association was found in patients who were not treated with oxaliplatin (false discovery rate-adjusted P-values for heterogeneity 0.0047 and 0.0237, respectively). The nucleotide excision repair (NER) pathway was found to be most likely associated with overall survival in patients who received oxaliplatin (P-value=0.002). Our data show that genetic variants in the NER pathway are potentially predictive of treatment response to oxaliplatin.

SUBMITTER: Kap EJ

PROVIDER: S-EPMC4573779 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Genetic variants in DNA repair genes as potential predictive markers for oxaliplatin chemotherapy in colorectal cancer.

Kap E J EJ Seibold P P Richter S S Scherer D D Habermann N N Balavarca Y Y Jansen L L Becker N N Pfütze K K Popanda O O Hoffmeister M M Ulrich A A Benner A A Ulrich C M CM Burwinkel B B Brenner H H Chang-Claude J J

The pharmacogenomics journal 20150317 6

Oxaliplatin-based chemotherapy exerts its effects through generating DNA damage. Hence, genetic variants in DNA repair pathways could modulate treatment response. We used a prospective cohort of 623 colorectal cancer patients with stage II-IV disease treated with adjuvant/palliative chemotherapy to comprehensively investigate 1727 genetic variants in the DNA repair pathways as potential predictive markers for oxaliplatin treatment. Single nucleotide polymorphisms (SNP) associations with overall ...[more]

PMID: 25778469

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Project description:BackgroundAssociations between candidate genetic variants and treatment outcomes of oxaliplatin, a drug commonly used for colorectal cancer patients, have been reported but not robustly established. This study aimed to validate previously reported prognostic and predictive genetic markers for oxaliplatin treatment outcomes and evaluate additional putative functional variants.MethodsFifty-three SNPs were selected based on previous reports (40 SNPs) or putative function in candidate genes (13 SNPs). We used data from 1,502 patients with stage II-IV colorectal cancer who received primary adjuvant chemotherapy, 37% of whom received oxaliplatin treatment. Multivariable Cox proportional hazards models for overall survival and progression-free survival were applied separately in stage II-III and stage IV patients. For predictive SNPs, differential outcomes according to the type of chemotherapy (oxaliplatin-based vs. others) were evaluated using an interaction term. For prognostic SNPs, the association was assessed solely in patients with oxaliplatin-based treatment.ResultsTwelve SNPs were predictive and/or prognostic at P < 0.05 with differential survival based on the type of treatment, in patients with stage II-III (GSTM5-rs11807, ERCC2-rs13181, ERCC2-rs1799793, ERCC5-rs2016073, XPC-rs2228000, P2RX7-rs208294, HMGB1-rs1360485) and in patients with stage IV (GSTM5-rs11807, MNAT1-rs3783819, MNAT1-rs4151330, CXCR1-rs2234671, VEGFA-rs833061, P2RX7-rs2234671). In addition, five novel putative functional SNPs were identified to be predictive (ATP8B3-rs7250872, P2RX7-rs2230911, RPA1-rs5030755, MGMT-rs12917, P2RX7-rs2227963).ConclusionsSome SNPs yielded prognostic and/or predictive associations significant at P < 0.05, however, none of the associations remained significant after correction for multiple testing.ImpactWe did not robustly confirm previously reported SNPs despite some suggestive findings but identified further potential predictive SNPs, which warrant further investigation in well-powered studies.

Project description:BackgroundChemotherapy resistance remains a major obstacle in the treatment of women with ovarian cancer. Establishing predictive markers of chemoresponse would help to individualize therapy and improve survival of ovarian cancer patients. Chemotherapy resistance in ovarian cancer has been studied thoroughly and several non-overlapping single genes, gene profiles and copy number alterations have been suggested as potential markers. The objective of this study was to explore genetic alterations behind chemotherapy resistance in ovarian cancer with the ultimate aim to find potential predictive markers.MethodsTo create the best opportunities for identifying genetic alterations of importance for resistance, we selected a homogenous tumor material concerning histology, stage and chemotherapy. Using high-resolution whole genome array comparative genomic hybridization (CGH), we analyzed the tumor genomes of 40 fresh-frozen stage III ovarian serous carcinomas, all uniformly treated with combination therapy paclitaxel/carboplatin. Fisher's exact test was used to identify significant differences. Subsequently, we examined four genes in the significant regions (EVI1, MDS1, SH3GL2, SH3KBP1) plus the ABCB1 gene with quantitative real-time polymerase chain reaction (QPCR) to evaluate the impact of DNA alterations on the transcriptional level.ResultsWe identified gain in 3q26.2, and losses in 6q11.2-12, 9p22.3, 9p22.2-22.1, 9p22.1-21.3, Xp22.2-22.12, Xp22.11-11.3, and Xp11.23-11.1 to be significantly associated with chemotherapy resistance. In the gene expression analysis, EVI1 expression differed between samples with gain versus without gain, exhibiting higher expression in the gain group.ConclusionIn conclusion, we detected specific genetic alterations associated with resistance, of which some might be potential predictive markers of chemotherapy resistance in advanced ovarian serous carcinomas. Thus, further studies are required to validate these findings in an independent ovarian tumor series.

Project description:BackgroundThe introduction of cytoreductive surgery (CRS) followed by hyperthermic intraperitoneal chemotherapy (HIPEC) with either oxaliplatin or mitomycin C for patients with colorectal peritoneal metastasis (CPM) has resulted in a major increase in overall survival. Nonetheless, despite critical patient selection, the majority of patients will develop recurrent disease within one year following CRS + HIPEC. Therefore, improvement of patient and treatment selection is needed and may be achieved by the incorporation of genetic biomarkers. This systematic review aims to provide an overview of genetic biomarkers in the DNA repair pathway that are potentially predictive for treatment outcome of patients with colorectal peritoneal metastases treated with CRS + HIPEC with oxaliplatin or mitomycin C.MethodsA systematic review was conducted according to the PRISMA guidelines. Given the limited number of genetic association studies of intraperitoneal mitomycin C and oxaliplatin in patients with CPM, we expanded the review and extrapolated the data from biomarker studies conducted in colorectal cancer patients treated with systemic mitomycin C- and oxaliplatin-based chemotherapy.ResultsIn total, 43 papers were included in this review. No study reported potential pharmacogenomic biomarkers in patients with colorectal cancer undergoing mitomycin C-based chemotherapy. For oxaliplatin-based chemotherapy, a total of 26 genetic biomarkers within 14 genes were identified that were signiﬁcantly associated with treatment outcome. The most promising genetic biomarkers were ERCC1 rs11615, XPC rs1043953, XPD rs13181, XPG rs17655, MNAT rs3783819/rs973063/rs4151330, MMR status, ATM protein expression, HIC1 tandem repeat D17S5, and PIN1 rs2233678.ConclusionSeveral genetic biomarkers have proven predictive value for the treatment outcome of systemically administered oxaliplatin. By extrapolation, these genetic biomarkers may also be predictive for the efficacy of intraperitoneal oxaliplatin. This should be the subject of further investigation.

Project description:Objective:Multiple factors are involved in oxaliplatin-resistant process in colorectal cancer (CRC) patients including decreased drug accumulation and enhanced capacity to repair and tolerate DNA damage. In the present study, we aimed to assess the impact of six single-nucleotide polymorphisms (SNPs) in DNA repair genes and ABCG2 gene on prognosis in advanced CRC patients treated with oxaliplatin-based chemotherapy. Methods:In this study, 580 advanced CRC patients were recruited. Six SNPs of DNA repair genes (XPA rs10817938, XPA rs2808668, XPC rs2607775, and WRN rs1346044) and ABCG2 gene (rs2231142 and rs2622621) were genotyped by using the TaqMan assay. Results:Regarding interaction with environmental factors, ABCG2 rs2231142 and the first-degree family history of cancer and XPC rs2607775 or ABCG2 rs2622621 and lymph node metastases status demonstrated significant interactions. Of these six SNPs, XPA rs10817938 CT/ TT genotypes retained its significant association with longer overall survival (OS) (P=0.008) in CRC patients receiving oxaliplatin-based chemotherapy (n=580). Furthermore, a significantly better impact on the disease-free survival (DFS) (P=0.001) and OS (P<0.0001) was found in ABCG2 rs2231142CA/AA carriers. Furthermore, ABCG2 rs2622621 CG/GG genotype was verified to be an independent poor prognostic factor in DFS (P=0.010) and OS (P=0.030). In the stratification analysis, XPA rs10817938 CT/CC, rs2231142 CA/AA, and rs2622621 CC genotypes of ABCG2 were predictive of significantly better prognosis in the patients with tumor differentiation grade 3 (n=523), clinical stage IV (n=73), or lymph node-positive status (n=557). Additionally, multivariate logistic regression and multiple dimension reduction analysis consistently revealed that the combination of selected SNPs and five known risk factors showed a better prediction prognosis and represented the best model to predict CRC prognosis. Conclusion:The current data indicated that the XPA gene and ABCG2 gene had significant interaction with environmental factors and prognosis, which could provide a comprehensive understanding of the implications of those SNPs in the prediction of prognosis in advanced CRC patients receiving oxaliplatin-based chemotherapy.

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Genetic variants in DNA repair genes as potential predictive markers for oxaliplatin chemotherapy in colorectal cancer.

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Genetic variants in DNA repair genes as potential predictive markers for oxaliplatin chemotherapy in colorectal cancer.

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