4.7 Article

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

Journal

SCIENTIFIC REPORTS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-022-25328-6

Keywords

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Funding

  1. Ministry of Education, Science and Technological Development, Republic of Serbia [451-03-68/2022-14/200043]
  2. SIRIC Montpellier Cancer Grant [INCa-DGOS-Inserm 12553]

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This study evaluated the impact of different genetic polymorphisms and radiation-induced CD8 T-lymphocyte apoptosis on adverse effects of radiotherapy for prostate cancer. The results showed that the CT genotype of TGFB1 C-509T could be a protective biomarker for acute genitourinary and gastrointestinal radiotoxicity, while the Thr variant of XRCC3 Thr241Met may predict the risk for acute genitourinary radiotoxicity.
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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