Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.
Laboratorio de Investigación en Enfermedades Metabólicas e Infecciosas, División Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Ranchería Sur Cuarta Sección, Comalcalco City, Tabasco 86650, Mexico.
Int J Mol Med. 2024 Jun;53(6). doi: 10.3892/ijmm.2024.5374. Epub 2024 Apr 12.
Cervical cancer (CC) constitutes a serious public health problem. Vaccination and screening programs have notably reduced the incidence of CC worldwide by >80%; however, the mortality rate in low‑income countries remains high. The staging of CC is a determining factor in therapeutic strategies: The clinical management of early stages of CC includes surgery and/or radiotherapy, whereas radiotherapy and/or concurrent chemotherapy are the recommended therapeutic strategies for locally advanced CC. The histopathological characteristics of tumors can effectively serve as prognostic markers of radiotherapy response; however, the efficacy rate of radiotherapy may significantly differ among cancer patients. Failure of radiotherapy is commonly associated with a higher risk of recurrence, persistence and metastasis; therefore, radioresistance remains the most important and unresolved clinical problem. This condition highlights the importance of precision medicine in searching for possible predictive biomarkers to timely identify patients at risk of treatment response failure and provide tailored therapeutic strategies according to genetic and epigenetic characteristics. The present review aimed to summarize the evidence that supports the role of several proteins, methylation markers and non‑coding RNAs as potential predictive biomarkers for CC.
宫颈癌(CC)是一个严重的公共卫生问题。疫苗接种和筛查计划显著降低了全球范围内 CC 的发病率>80%;然而,低收入国家的死亡率仍然很高。CC 的分期是治疗策略的决定因素:CC 的早期阶段的临床管理包括手术和/或放疗,而局部晚期 CC 的推荐治疗策略是放疗和/或同步化疗。肿瘤的组织病理学特征可以有效地作为放疗反应的预后标志物;然而,放疗的疗效在癌症患者中可能有显著差异。放疗失败通常与更高的复发、持续和转移风险相关;因此,放疗耐药性仍然是最重要和未解决的临床问题。这种情况突出了精准医学在寻找可能的预测性生物标志物以及时识别治疗反应失败风险的患者以及根据遗传和表观遗传特征提供针对性治疗策略方面的重要性。本综述旨在总结支持几种蛋白质、甲基化标志物和非编码 RNA 作为 CC 潜在预测性生物标志物的证据。