Petrović Nina, Stanojković Tatjana P, Nikitović Marina
Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environment, "VINČA" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia.
Department for Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia.
Curr Med Chem. 2022;29(9):1543-1560. doi: 10.2174/0929867328666210804085135.
Prostate cancer (PCa) is the second most frequently diagnosed male cancer worldwide. Early diagnosis of PCa, response to therapy, and prognosis still represent a challenge. Nearly 60% of PCa patients undergo radiation therapy (RT) which might cause side effects. Despite numerous researches in this field, predictive biomarkers for radiation toxicity are still not elucidated. MicroRNAs as posttranscriptional regulators of gene expression are shown to be changed during and after irradiation. MicroRNA level changes might be utilized to predict response to RT in the near future, which might help clinicians to make the decision on treatment regimens if needed. Individual radiation response results from the interactions among radiation treatment parameters and the biological background of each patient. In this review, we have listed and described miRNAs involved in response to RT in PCa and highlighted potential candidates for future biological tests predicting radiation response to RT, with the special focus on side effects of RT. According to described literature, we concluded that let-7, miR-21, miR-34a, miR-146a, miR-155, and members of miR-17/92 cluster might be promising candidates for biological tests predicting radiosensitivity of PCa patients undergoing radiation treatment. Predictive miRNA panels, especially for acute and late side effects of RT, can serve as a starting point for decisions for individualized RT planning. We believe that this review might be one step closer to understanding molecular mechanisms underlying individual radiation response of patients with PCa.
前列腺癌(PCa)是全球第二常见的男性癌症。PCa的早期诊断、对治疗的反应以及预后仍然是一项挑战。近60%的PCa患者接受放射治疗(RT),这可能会导致副作用。尽管该领域有大量研究,但辐射毒性的预测生物标志物仍未阐明。微小RNA作为基因表达的转录后调节因子,在照射期间和照射后会发生变化。微小RNA水平的变化可能在不久的将来被用于预测对RT的反应,这可能有助于临床医生在需要时做出治疗方案的决策。个体的放射反应源于放射治疗参数与每个患者的生物学背景之间的相互作用。在本综述中,我们列出并描述了参与PCa对RT反应的微小RNA,并强调了未来预测对RT放射反应的生物学检测的潜在候选物,特别关注RT的副作用。根据所描述的文献,我们得出结论,let-7、miR-21、miR-34a、miR-146a、miR-155以及miR-17/92簇的成员可能是预测接受放射治疗的PCa患者放射敏感性的生物学检测的有前景的候选物。预测性微小RNA面板,特别是针对RT的急性和晚期副作用的面板,可以作为个体化RT计划决策的起点。我们相信,这篇综述可能使我们更接近了解PCa患者个体放射反应的分子机制。