Suppr超能文献

绘制宫颈癌的免疫图谱及新兴免疫治疗策略:一项综合综述

Mapping the immunological landscape and emerging immunotherapeutic strategies in cervical cancer: a comprehensive review.

作者信息

Zhang Xinyi, Nie Wenyang, Shao Wenwen, Guo Qian

机构信息

Clinical Medical College, Southwest Medical University, Luzhou, China.

College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.

出版信息

Front Oncol. 2025 Jul 10;15:1620501. doi: 10.3389/fonc.2025.1620501. eCollection 2025.

Abstract

Cervical cancer continues to pose a considerable global health challenge, especially in low- and middle-income nations, although progress in screening and vaccine efforts. In recent years, immunotherapy has emerged as a promising treatment option; nevertheless, its efficacy in cervical cancer is constrained by the intricate and heterogeneous tumor immune microenvironment. Reliable biomarkers to predict which patients will benefit from immunotherapy are lacking. The heterogeneity of the immune landscape across patients adds further complexity. This paper offers a thorough examination of the immunological landscape in cervical cancer, highlighting the interactions among tumor cells, immune infiltrates, and stromal elements. Moreover, we investigate how advanced technologies-such as single-cell RNA sequencing, spatial transcriptomics, and multiplex imaging-are transforming our comprehension of immunological heterogeneity and uncovering new therapeutic targets. We seek to delineate present problems and potential pathways in the development of effective, tailored immunotherapies for cervical cancer by integrating genetic analysis with immunological insights.

摘要

宫颈癌仍然是一个重大的全球健康挑战,尤其是在低收入和中等收入国家,尽管在筛查和疫苗方面取得了进展。近年来,免疫疗法已成为一种有前景的治疗选择;然而,其在宫颈癌中的疗效受到复杂且异质性的肿瘤免疫微环境的限制。目前缺乏可靠的生物标志物来预测哪些患者将从免疫疗法中获益。患者之间免疫格局的异质性进一步增加了复杂性。本文对宫颈癌的免疫格局进行了全面研究,强调了肿瘤细胞、免疫浸润和基质成分之间的相互作用。此外,我们还研究了诸如单细胞RNA测序、空间转录组学和多重成像等先进技术如何改变我们对免疫异质性的理解并揭示新的治疗靶点。我们试图通过将基因分析与免疫学见解相结合,来描绘在开发有效的、个性化的宫颈癌免疫疗法中存在的问题和潜在途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f3/12286829/ac8dd61f34f8/fonc-15-1620501-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验