Genetic variability of XRCC1 influences the treatment outcome of gastric cancer

Polymorphism in XRCC1 gene modulates survival and clinical outcomes of advanced North Indian lung cancer patients treated with platinum-based doublet chemotherapy

Survival in lung cancer patients is genetically determined. Single nucleotide polymorphisms (SNPs) in DNA repair genes are observed to play a critical role in survival as DNA repair itself can behave as double-edged sword. We aim to explore the association of DNA repair gene XRCC1 in survival and clinical outcomes for North Indian population. Blood sample from patients diagnosed with lung cancer was taken. DNA isolation and genotyping were performed for the SNPs of XRCC1 gene. Further, patients were followed up through telephonic conversation after every 2 months for 3 years. Statistical analysis was carried out using Kaplan-Meier to determine the median survival time (MST) and Cox proportional regression model to determine the hazards ratio. Further, logistic regression was used to calculate to calculate the objective response. The mutant genotype for XRCC1 399 is observed to have a better survival (MST = 9.6). Histological stratification did not reveal any association for any SNP except for SCLC subtype in XRCC1 632 with an increased death rate (HR 3.08, p = 0.02). On stratification according to chemotherapy regimen administered; cisplatin/carboplatin + docetaxel was observed to increase survival for XRCC1 399 mutant genotype (AA) (HR 0.26, p = 0.05). Cisplatin/carboplatin + irinotecan increased survival in both heterozygotes (GA) and combined variants (GA + AA) (HR 0.22, p = 0.014; HR 0.23, p = 0.012). The polymorphic variants within the XRCC1 gene have found to play an important role in overall survival of lung cancer patients undergoing specific chemotherapy regimen.

Predictive biomarkers for targeted and cytotoxic agents in gastric cancer for personalized medicine

Gastric cancer (GC) is the fourth most common cancer and the second leading cause of cancer. The treatment of GC remains challenging as the outcomes achieved with surgery alone or adjuvant or neoadjuvant chemotherapy and radiotherapy are relatively poor. New treatment strategies are emerging and are being tested in solid tumors including GC. Over the past few years, the treatment of metastatic colorectal cancer (CRC) has made great advances, but strategies to manage GC have improved little. Multiple drug resistance is common in GC chemotherapy and targeted therapy; some patients appear to receive treatment that is suboptimal or even inefficacious. Unfortunately, there are few validated predictive biomarkers to guide the tailored treatment of GC. ToGA and AVAGAST are two phase III trials that tested the efficacy and safety of targeted agents in advanced gastric cancer (AGC), and results clearly indicated that patients need to be selected and that targeted agents are the best hope for better results. This review aims to provide an overview of potential predictive biomarkers for cytotoxic and targeted agents in GC.