• Medicine · Nov 2015

    Observational Study

    TNF rs1799964 as a Predictive Factor of Acute Toxicities in Chinese Rectal Cancer Patients Treated With Chemoradiotherapy.

    • Hui Zhang, Mengyun Wang, Tingyan Shi, Lijun Shen, Liping Liang, Yun Deng, Guichao Li, Ji Zhu, Yongxin Wu, Ming Fan, Weijuan Deng, Qingyi Wei, and Zhen Zhang.
    • From the Department of Radiation Oncology (HZ, LS, LL, GL, JZ, YW, MF, WD, ZZ); Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China (MW, YD, QW); Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina (QW); Department of Obstetrics and Gynocology, Zhongshan Hospital (TS); and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (HZ, MW, LS, LL, YD, GL, JZ, YW, MF, WD, ZZ).
    • Medicine (Baltimore). 2015 Nov 1; 94 (45): e1955.

    AbstractAcute toxicity is the main dose-limiting factor in the chemoradiotherapy of rectal cancer patients and depends on several pro-inflammatory factors, including interleukin-1 (IL-1), IL-6, and tumor necrosis factor-alpha (TNF-α). It is unknown whether genetic factors, such as single-nucleotide polymorphisms (SNPs) in the IL-1, IL-6, and TNF genes, are also associated with acute toxicity in the process.We genotyped 5 potentially functional SNPs in these 3 genes (TNF rs1799964, TNF rs1800629, IL-6 rs1800796, and IL-1 rs1143623, IL-1 rs1143627) and estimated their associations with severe acute radiation injury (grade ≥2) in 356 rectal cancer patients.We found a predictive role of the TNF rs1799964 T variant allele in the development of acute injury (for CT vs CC: adjusted odds ratio [OR] = 4.718, 95% confidence interval [CI] = 1.152-19.328, P = 0.031; for TT vs CC: adjusted OR = 4.443, 95% CI = 1.123-17.581, P = 0.034). In the dominant model, for CT/TT vs CC, the adjusted OR = 4.132, 95% CI = 1.069-15.966, and P = 0.04.Our results suggested that genetic variants in the TNF gene may influence acute injury in rectal cancer patients treated with chemoradiotherapy and may be a predictor for personalized treatment. Additional larger and independent studies are needed to confirm our findings.

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