Dataset Information

Gene-gene and gene-environment interaction data for platinum-based chemotherapy in non-small cell lung cancer.

ABSTRACT: Gene-gene (GXG) and gene-environment (GXE) interactions play important roles in pharmacogenetics study. Simultaneously incorporating multiple single nucleotide polymorphisms (SNPs) and clinical factors is needed to explore the association of their interactions with drug response and toxicity phenotypes. We genotyped 504 SNPs in a total of 490 Chinese non-small cell lung cancer (NSCLC) patients, and the correlation of GXG and GXE interactions with platinum-based chemotherapeutic efficacy and safety were analyzed. In this data descriptor, we shared our data set which could help others to reuse them. All kinds of file types needed for GXG and GXE analysis were supplied. The process of genotyping and data analysis was also introduced step by step.

SUBMITTER: Wang LY

PROVIDER: S-EPMC6289114 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Gene-gene and gene-environment interaction data for platinum-based chemotherapy in non-small cell lung cancer.

Wang Lei-Yun LY Cui Jia-Jia JJ Liu Jun-Yan JY Guo Ao-Xiang AX Zhao Zhen-Yu ZY Liu Ying-Zi YZ Wu Ji-Chu JC Li Min M Hu Cheng-Ping CP Gao Yang Y Zhou Hong-Hao HH Yin Ji-Ye JY

Scientific data 20181211

Gene-gene (GXG) and gene-environment (GXE) interactions play important roles in pharmacogenetics study. Simultaneously incorporating multiple single nucleotide polymorphisms (SNPs) and clinical factors is needed to explore the association of their interactions with drug response and toxicity phenotypes. We genotyped 504 SNPs in a total of 490 Chinese non-small cell lung cancer (NSCLC) patients, and the correlation of GXG and GXE interactions with platinum-based chemotherapeutic efficacy and safe ...[more]

PMID: 30531820

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Project description:Background Platinum-based chemotherapy (PC) and immunotherapy plus platinum-based chemotherapy (IPC) remain the first-line treatment for advanced NSCLC. But only a minority patients benefit from PC, and existing biomarkers, such as PD-L1, have been shown to be defective in predicting the efficacy of IPC. Highlighting the need to identify novel biomarkers for the efficacy of PC and IPC. DNA damage repair (DDR) mutations are known to predict response to PC in solid tumors. However, the predictive value of DDR in PC and IPC of NSCLC remains unclear. Methods Patients diagnosed with advanced or metastatic NSCLC were retrospectively included if they underwent next generation sequencing prior to starting treatment. Primary endpoints were to explore whether DDR mutations (DDRmut) are associated with clinical outcomes of PC and IPC. Secondary end point were to explore the association between DDRmut and the choice to add immunotherapy to chemotherapy, and the impact of different DDR pathways on efficacy in PC and IPC. Results DDRmut showed a strong association with tumor mutation burden-high (TMB-H) versus DDR wild-type (DDRwt) and higher rates of PD-L1 TPS ≥50% positivity. In 63 patients treated with PC, ORRs were 15.38% and 2.86% for DDRmut and DDRwt subgroup (P=0.1536), and DCRs were 88.46% and 45.72% (P=0.00097) at 6 months after PC. The DDRmut patients had significantly improved median PFS (mPFS) and median overall survival (mOS) than DDRwt group (mPFS: 7.6 vs. 3.9 months, HR =1.93, 95% CI: 1.09 to 3.14, P=0.0220. mOS: 29.9 vs. 20.7 months, HR =2.31, 95% CI: 1.09 to 4.9, P=0.0250). Moreover, among 37 patients treated with IPC, ORRs were 45% and 11.76% for DDRmut and DDRwt patients (P=0.0365), and the DCRs were 95% and 70.58% (P=0.0752), respectively at 6 months after IPC. The DDRmut patients had significantly improved mPFS compared to the DDRwt group (19.5 vs. 4.5 months, HR =3.28, 95% CI: 1.53 to 9.56, P=0.0022). In DDRmut group, mPFS of IPC recipients was significantly better than that of PC recipients (19.5 vs. 7.6 months, HR =2.09, 95% CI: 0.98 to 4.42, P=0.050). Conclusions There is potential for DDR to serve as a positive predictor of PC and IPC in advanced NSCLC patients.

Project description:BackgroundInterindividual variation in genetic background may influence the response to chemotherapy and overall survival for patients with advanced-stage non-small cell lung cancer (NSCLC).MethodsTo identify genetic variants associated with poor overall survival in these patients, we conducted a genome-wide scan of 307,260 single-nucleotide polymorphisms (SNPs) in 327 advanced-stage NSCLC patients who received platinum-based chemotherapy with or without radiation at the University of Texas MD Anderson Cancer Center (the discovery population). A fast-track replication was performed for 315 patients from the Mayo Clinic followed by a second validation at the University of Pittsburgh in 420 patients enrolled in the Spanish Lung Cancer Group PLATAX clinical trial. A pooled analysis combining the Mayo Clinic and PLATAX populations or all three populations was also used to validate the results. We assessed the association of each SNP with overall survival by multivariable Cox proportional hazard regression analysis. All statistical tests were two-sided.ResultsSNP rs1878022 in the chemokine-like receptor 1 (CMKLR1) was statistically significantly associated with poor overall survival in the MD Anderson discovery population (hazard ratio [HR] of death = 1.59, 95% confidence interval [CI] = 1.32 to 1.92, P = 1.42 × 10(-6)), in the PLATAX clinical trial (HR of death = 1.23, 95% CI = 1.00 to 1.51, P = .05), in the pooled Mayo Clinic and PLATAX validation (HR of death = 1.22, 95% CI = 1.06 to 1.40, P = .005), and in pooled analysis of all three populations (HR of death = 1.33, 95% CI = 1.19 to 1.48, P = 5.13 × 10(-7)). Carrying a variant genotype of rs10937823 was associated with decreased overall survival (HR of death = 1.82, 95% CI = 1.42 to 2.33, P = 1.73 × 10(-6)) in the pooled MD Anderson and Mayo Clinic populations but not in the PLATAX trial patient population (HR of death = 0.96, 95% CI = 0.69 to 1.35).ConclusionThese results have the potential to contribute to the future development of personalized chemotherapy treatments for individual NSCLC patients.

Project description:Objectives: Platinum-based chemotherapy is first-line treatment for non-small cell lung cancer (NSCLC) patients. The efficacy is limited by drug resistance. Recent studies suggest that ATP7B, a copper efflux transporter, may be involved in platinum resistance. However, the clinical significance of ATP7B expression in NSCLC is controversial. Moreover, the effects of single nucleotide polymorphisms (SNPs) in ATP7B gene on the response to platinum-based chemotherapy are scarcely understood. The aim of our study is to evaluate the clinical value of ATP7B in NSCLC patients and explore the interrelationships between ATP7B SNPs and protein expression, and their association with chemotherapy response. Materials and Methods: A total of 247 NSCLC patients were recruited in this study. Among them, 158 patients who received platinum-based chemotherapy were used to explore the interrelationships between ATP7B SNPs, protein expression and chemotherapy response, while 89 patients who underwent surgical resection were used to further investigate the association between ATP7B SNPs and expression level. We genotyped 15 SNPs of ATP7B by Sequenom MassARRAY and determined ATP7B protein levels by immunohistochemistry. Results: Patients with ATP7B-negative tumors had improved chemotherapeutic response (p=0.025) and better overall survival (p=0.044) compared with the patients with ATP7B-positive tumors. The multivariate Cox regression analysis revealed that ATP7B expression was an independent prognostic factor (HR=0.639, 95%CI=0.424-0.962, p=0.032). Moreover, we found that the rs9526814 GG genotype was significantly associated with favorable response to platinum-based chemotherapy when compared with TT+TG genotypes (OR=0.362, 95CI%=0.140-0.935, p=0.036). Mechanistically, rs9526814 GG genotype showed a strong trend towards reduced expression level of ATP7B compared with the TT+TG genotypes (p= 0.048). Conclusion: Our findings indicate that ATP7B rs9526814 may contribute to platinum resistance by influencing ATP7B gene expression and can be used as a potential biomarker to predict the sensitivity of platinum-based chemotherapy in NSCLC patients.

Dataset Information

Gene-gene and gene-environment interaction data for platinum-based chemotherapy in non-small cell lung cancer.

Publications

Gene-gene and gene-environment interaction data for platinum-based chemotherapy in non-small cell lung cancer.

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