OBJECTIVE: This study evaluated common polymorphisms in excision repair cross-complementation group 1 (ERCC1) involved in repair of platinum-induced DNA damage in advanced-stage, epithelial ovarian/peritoneal/tubal cancer (EOC/PPC/FTC) patients treated with intravenous carboplatin- and paclitaxel-based chemotherapy. METHODS: Pyrosequencing was performed to examine single nucleotide polymorphisms (SNPs) in codon 118 and C8092A in ERCC1 in leukocyte DNA from the Gynecologic Oncology Group phase III protocol, GOG-182. Kaplan-Meier method and adjusted Cox regression modeling were used to examine associations between ERCC1 polymorphisms and progression-free survival (PFS) and overall survival (OS). RESULTS: The genotype distribution at codon 118 (n=278) in ERCC1 for CC, CT, and TT was 23%, 45% and 32%, and the median OS was 32, 47 and 43 months, respectively. Patients with the CT+TT versus CC genotype in codon 118 in ERCC1 were at a reduced risk of death (hazard ratio [HR]=0.68, 95% confidence interval [CI]=0.49-0.95, p=0.025). The genotype distribution for C8092A in ERCC1 (N=280) was 50%, 42% and 8%, and the median OS was 45, 40 or 30 months for CC, CA and AA, respectively. Women with the CA+AA versus CC genotype in C8092A in ERCC1 had a trend suggesting an increased risk of death (HR=1.29, 95% CI=0.97-1.72, p=0.077). CONCLUSIONS: The polymorphism in codon 118 in the DNA repair gene ERCC1 was an independent predictor for better survival in EOC/PPC/FTC patients treated with intravenous carboplatin- and paclitaxel-based chemotherapy. The relationship between the C8092A polymorphisms in ERCC1 and survival was modest with an effect size that was not always statistically significant.
OBJECTIVE: This study evaluated common polymorphisms in excision repair cross-complementation group 1 (ERCC1) involved in repair of platinum-induced DNA damage in advanced-stage, epithelial ovarian/peritoneal/tubal cancer (EOC/PPC/FTC) patients treated with intravenous carboplatin- and paclitaxel-based chemotherapy. METHODS: Pyrosequencing was performed to examine single nucleotide polymorphisms (SNPs) in codon 118 and C8092A in ERCC1 in leukocyte DNA from the Gynecologic Oncology Group phase III protocol, GOG-182. Kaplan-Meier method and adjusted Cox regression modeling were used to examine associations between ERCC1 polymorphisms and progression-free survival (PFS) and overall survival (OS). RESULTS: The genotype distribution at codon 118 (n=278) in ERCC1 for CC, CT, and TT was 23%, 45% and 32%, and the median OS was 32, 47 and 43 months, respectively. Patients with the CT+TT versus CC genotype in codon 118 in ERCC1 were at a reduced risk of death (hazard ratio [HR]=0.68, 95% confidence interval [CI]=0.49-0.95, p=0.025). The genotype distribution for C8092A in ERCC1 (N=280) was 50%, 42% and 8%, and the median OS was 45, 40 or 30 months for CC, CA and AA, respectively. Women with the CA+AA versus CC genotype in C8092A in ERCC1 had a trend suggesting an increased risk of death (HR=1.29, 95% CI=0.97-1.72, p=0.077). CONCLUSIONS: The polymorphism in codon 118 in the DNA repair gene ERCC1 was an independent predictor for better survival in EOC/PPC/FTC patients treated with intravenous carboplatin- and paclitaxel-based chemotherapy. The relationship between the C8092A polymorphisms in ERCC1 and survival was modest with an effect size that was not always statistically significant.
Authors: William D Figg; Cindy H Chau; Ravi A Madan; James L Gulley; Rui Gao; Tristan M Sissung; Shawn Spencer; Melony Beatson; Jeanny Aragon-Ching; Seth M Steinberg; William L Dahut Journal: Clin Genitourin Cancer Date: 2013-05-17 Impact factor: 2.872
Authors: Sandrina Lambrechts; Diether Lambrechts; Evelyn Despierre; Els Van Nieuwenhuysen; Dominiek Smeets; Philip R Debruyne; Vincent Renard; Philippe Vroman; Daisy Luyten; Patrick Neven; Frédéric Amant; Karin Leunen; Ignace Vergote Journal: BMC Pharmacol Toxicol Date: 2015-02-27 Impact factor: 2.483
Authors: Jian-min Fu; Jie Zhou; Jian Shi; Jian-sheng Xie; Li Huang; Adrian Y S Yip; Wings T Y Loo; Louis W C Chow; Elizabeth L Y Ng Journal: J Transl Med Date: 2012-09-19 Impact factor: 5.531
Authors: Thomas J Herzog; David Spetzler; Nick Xiao; Ken Burnett; Todd Maney; Andreas Voss; Sandeep Reddy; Robert Burger; Thomas Krivak; Matthew Powell; Michael Friedlander; William McGuire Journal: Oncotarget Date: 2016-04-12