宫颈癌中的微生物和代谢紊乱：结构见解、生物标志物、机制和治疗策略。

IF 4.3 2区医学 Q1 Medicine

Cancer Science Pub Date : 2025-09-18 DOI:10.1111/cas.70201

Hong Tao, Luyu Wang, Yi Ding, Lixian Yi, Mutian Han, Mengmeng Gu, Jian Wu

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引用次数: 0

摘要

宫颈癌的发展与持续的高危HPV感染密切相关。微生物群和代谢组学提供了新的视角。本文重点探讨微生物生态失调和代谢重编程在宫颈癌发生发展中的作用，揭示其对肿瘤免疫微环境和治疗耐药的协同调节作用。机器学习和多组学已经确定了新的生物标志物，而治疗策略包括微生物群调节、代谢靶向和联合治疗。尽管样本量小、机制不明确等局限性，本综述提出了一个多靶点精准医学框架。未来，我们应注重多中心、多组学研究，优化临床试验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Microbial and Metabolic Disorders in Cervical Cancer: Structural Insights, Biomarkers, Mechanisms, and Therapeutic Strategies.

The development of cervical cancer is strongly associated with persistent high-risk HPV infection. Microbiota and metabolomics offer new perspectives. This article focuses on the role of microbial dysbiosis and metabolic reprogramming in the development of cervical cancer, revealing its synergistic regulation of the tumor immune microenvironment and treatment resistance. Machine learning and multi-omics have identified new biomarkers, while treatment strategies include microbiota modulation, metabolic targeting, and combination therapies. Despite limitations such as small sample size and unclear mechanisms, this review proposes a multi-target precision medicine framework. In the future, we should focus on multi-center and multi-omics research and optimized clinical trials.

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来源期刊

Cancer Science ONCOLOGY-

CiteScore

9.90

自引率

3.50%

发文量

406

审稿时长

17 weeks

期刊介绍： Cancer Science (formerly Japanese Journal of Cancer Research) is a monthly publication of the Japanese Cancer Association. First published in 1907, the Journal continues to publish original articles, editorials, and letters to the editor, describing original research in the fields of basic, translational and clinical cancer research. The Journal also accepts reports and case reports. Cancer Science aims to present highly significant and timely findings that have a significant clinical impact on oncologists or that may alter the disease concept of a tumor. The Journal will not publish case reports that describe a rare tumor or condition without new findings to be added to previous reports; combination of different tumors without new suggestive findings for oncological research; remarkable effect of already known treatments without suggestive data to explain the exceptional result. Review articles may also be published.