摘要
前列腺癌 (PCa) 是全球第二大最常见的男性癌症。 PCa 的早期诊断、对治疗的反应和预后仍然是一个挑战。近 60% 的 PCa 患者接受可能引起副作用的放射治疗 (RT)。尽管在该领域进行了大量研究,但辐射毒性的预测性生物标志物仍未阐明。 MicroRNAs 作为基因表达的转录后调节因子显示在照射期间和照射后发生变化。 MicroRNA 水平的变化可用于预测在不久的将来对 RT 的反应,这可能有助于临床医生在需要时对治疗方案做出决定。个体放射反应是放射治疗参数和每位患者的生物背景相互作用的结果。在这篇综述中,我们列出并描述了与 PCa 中的 RT 反应相关的 miRNA,并强调了未来预测对 RT 的辐射反应的生物测试的潜在候选者,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 和 miR-17/92 簇的成员可能是预测 PCa 患者放射敏感性的生物测试的有希望的候选者。放射治疗。预测性 miRNA 面板,特别是针对放疗的急性和晚期副作用,可以作为个体化放疗计划决策的起点。我们相信,这篇综述可能更接近于了解 PCa 患者个体放射反应的分子机制。
关键词: MicroRNA、前列腺癌、放射治疗、放射反应、放射抗性、放射敏感性、放射毒性。
Current Medicinal Chemistry
Title:MicroRNAs in Prostate Cancer Following Radiotherapy: Towards Predicting Response to Radiation Treatment
Volume: 29 Issue: 9
关键词: MicroRNA、前列腺癌、放射治疗、放射反应、放射抗性、放射敏感性、放射毒性。
摘要:
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.
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Cite this article as:
MicroRNAs in Prostate Cancer Following Radiotherapy: Towards Predicting Response to Radiation Treatment, Current Medicinal Chemistry 2022; 29 (9) . https://dx.doi.org/10.2174/0929867328666210804085135
DOI https://dx.doi.org/10.2174/0929867328666210804085135 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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