Association of polymorphisms in TGFB1, XRCC1, XRCC3 genes and CD8 T-lymphocyte apoptosis with adverse effect of radiotherapy for prostate cancer

被引:5
作者
Malisic, Emina [1 ]
Petrovic, Nina [1 ,2 ]
Brengues, Muriel [3 ]
Azria, David [3 ]
Matic, Ivana Z. [1 ]
Cuk, Ivana Srbljak [1 ]
Kopcalic, Katarina [4 ]
Stanojkovic, Tatjana [1 ]
Nikitovic, Marina [4 ,5 ]
机构
[1] Inst Oncol & Radiol Serbia, Dept Expt Oncol, Pasterova 14, Belgrade 11000, Serbia
[2] Univ Belgrade, VINCA Inst Nucl Sci, Natl Inst Republ Serbia, Belgrade, Serbia
[3] Univ Montpellier, IRCM, INSERM, ICM, Montpellier, France
[4] Inst Oncol & Radiol Serbia, Dept Radiat Oncol, Belgrade, Serbia
[5] Univ Belgrade, Fac Med, Belgrade, Serbia
关键词
SINGLE NUCLEOTIDE POLYMORPHISMS; NORMAL TISSUE COMPLICATIONS; DNA-REPAIR; NO ASSOCIATION; LATE TOXICITY; BREAST; TGF-BETA-1; FIBROSIS; RISK; SECRETION;
D O I
10.1038/s41598-022-25328-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The genetic background of each person might affect the severity of radiotherapy (RT)-induced normal tissue toxicity. The aim of study was to evaluate the influence of TGFB1 C-509T and Leu10Pro, XRCC1 Arg280His and XRCC3 Thr241Met polymorphisms as well as the level of radiation-induced CD8 T-lymphocyte apoptosis (RILA) on adverse effects of RT for prostate cancer (PCa). The study included 88 patients with localized or locally advanced PCa who were treated with RT. The polymorphisms were determined by PCR-RFLP analysis on DNA from peripheral blood mononuclear cells. RILA values were measured by flow cytometry. We found that CT genotype of TGFB1 C-509T could be protective biomarker for acute genitourinary (GU) and gastrointestinal (GI) radiotoxicity, while Thr variant of XRCC3 Thr241Met could predict the risk for acute GU radiotoxicity. Correlation between RILA values and toxicity was not detected. Univariate logistic regression analysis showed that Gleason score and risk group were risk factors for late GU, while for late GI radiotoxicity it was diabetes mellitus type 2. However, in multivariate model those were not proven to be significant and independent risk factors. Identification of assays combination predicting individual radiosensitivity is a crucial step towards personalized RT approach.
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页数:13
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