Individual Genetic Variation Might Predict Acute Skin Reactions in Women Undergoing Adjuvant Breast Cancer Radiotherapy
ANTICANCER RESEARCH
Authors: Oliva, Delmy; Nilsson, Mats; Strandeus, Michael; Andersson, Bengt-Ake; Sharp, Lena; Laytragoon-Lewin, Nongnit; Lewin, Freddi
Abstract
Adverse skin reactions during radiotherapy (RT) are common. The aim of this study was to explore whether genetic variation might be linked to acute radiation skin reactions (ARSR). Materials and Methods: One hundred and nineteen women undergoing adjuvant RT for breast cancer were included. The symptoms of itching, burning and irritation were self-reported twice using the visual analogue scale. Assessments used the Radiation Therapy Oncology Group scoring system for acute RT skin reaction (RTOG scale). Blood-based single nucleotide polymorphism (SNP) analysis was performed. Thirty SNPs of well-defined functional genes were investigated. Results: All women were assessed with ARSR. After RT, the women self-reported itching (n=97), burning (n=64) and irritation (n=96). Two SNPs in X-Ray Repair Cross Complementing 2 gene (XRCC2) rs2040639 and interferon gamma (IFNG) rs2069705 genes were found to be associated with ARSR. Conclusion: An association between two SNPs and ARSR was found. The possibility of using these SNPs as prognostic biomarkers for ARSR as tools to improve the care of patients needs further investigation.
XRCC2 Polymorphisms and Environmental Factors Predict High Risk of Colorectal Cancer
MEDICAL SCIENCE MONITOR
Authors: Wang, Lijie; Ma, Junxun; Yang, Bo; Jing, Fangfang; Hu, Yi
Abstract
Background: This case-control study aimed to analyze the association of XRCC2 polymorphisms (rs3218408 and rs3218384) with colorectal cancer (CRC) risk. The interaction of XRCC2 polymorphisms with environmental factors was investigated as well. Material/Methods: We enrolled 147 CRC patients and 114 healthy individuals into the study. Polymerase chain reaction (PCR)-sequencing method was performed to detect rs3218408 and rs3218384 polymorphisms. Hardy-Weinberg equilibrium (HWE) was checked in the control group. Odds ratio (OR) with 95% confidence interval (CI) represented the risk of CRC. Cross-table method was used in analyzing the interaction effects. Results: Compared to the control group, the frequency of smokers was much higher in the case group (P<0.001). A similar result was observed in drinkers (55.8% vs. 40.4%, P=0.013). Dietary habits of all subjects were investigated as well, showing that CRC patients ate fewer vegetables than did healthy controls (P<0.001). In the analysis of polymorphisms, rs3218408 appeared to be an independent risk factor of CRC (GG: OR=2.048, 95%CI=1.032-4.061; G allele: OR=1.445, 95%CI=1.019-2.049). There were 68 (76.4%) C allele carriers (rs3218384) among smokers, which was higher than the number of G allele carriers (P<0.001). A similar outcome was observed for alcohol drinkers (P=0.048), which suggests a relationship of rs3218384 with smoking and drinking. Further analysis indicated that interaction of rs3218384 with smoking increased the risk of CRC (GG and smoking: OR=3.250, 95%CI=1.235-8.556; GC+CC and smoking: OR=2.167, 95%CI=1.175-3.996). Conclusions: We found that rs3218408 was related with increased risk of CRC, and the interaction of rs3218384 with smoking increased the risk of CRC.