Published December 9, 2022 | Version v.1
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Association of polymorphisms in TGFB1, XRCC1, XRCC3 genes and CD8 T-lymphocyte apoptosis with adverse effect of radiotherapy for prostate cancer.

  • 1. Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000, Belgrade, Serbia. eminamalisic@yahoo.co.uk.
  • 2. Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000, Belgrade, Serbia.; "VINČA" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
  • 3. IRCM, INSERM, University Montpellier, ICM, Montpellier, France
  • 4. Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000, Belgrade, Serbia.
  • 5. Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.
  • 6. Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.; Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

Description

Abstract

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.

Notes

This study was financially supported by the Ministry of Education, Science and Technological Development, Republic of Serbia (451-03-68/2022-14/200043) and SIRIC Montpellier Cancer Grant (INCa-DGOS-Inserm 12553). The authors would like to thank Center for Leadership Development – Programme "Move for Science". Also, the authors would like to thank Tatjana Petrović for her excellent technical assistance for preparation of PBMC for SNP analyses and blood sample for RILA as well as Laura Bourillon and Tiphany Gouveia for their technical assistance with the RILA assay. Data Availability Statement The data that support the findings of this study are not openly available due to [reasons of sensitivity e.g. human data] and are available from the corresponding author upon reasonable request.

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Has part
36494413 (PMID)
Is identical to
PMC9734114 (pmcid)
Is part of
2045-2322 (ISSN)