Inflammation and Immune Escape in Ovarian Cancer: Pathways and Therapeutic Opportunities

卵巢癌中的炎症和免疫逃逸:通路和治疗契机

阅读:1

Abstract

Ovarian cancer (OC) remains one of the most lethal gynecological malignancies, largely due to its late-stage diagnosis and high recurrence rates. Chronic inflammation is a critical driver of OC progression, contributing to immune evasion, tumor growth, and metastasis. Inflammatory cytokines, including IL-6, TNF-α, and IL-8, as well as key signaling pathways such as nuclear factor kappa B (NF-kB) and signal transducer and activator of transcription 3 (STAT3), are upregulated in OC, promoting a tumor-promoting environment. The tumor microenvironment (TME) is characterized by immune cells like tumor-associated macrophages (TAMs) and regulatory T cells (Tregs), which suppress anti-tumor immune responses, facilitating immune evasion. Furthermore, OC cells utilize immune checkpoint pathways, including PD-1/PD-L1, to inhibit cytotoxic T cell activity. Targeting these inflammatory and immune evasion mechanisms offers promising therapeutic strategies. COX-2 inhibitors, Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway blockers, and NF-kB inhibitors have shown potential in preclinical studies, while immune checkpoint inhibitors targeting PD-1/PD-L1 and CTLA-4 have been explored with mixed results in OC. Additionally, emerging research on the microbiome and inflammation-related biomarkers, such as microRNAs (miRNAs) and exosomes, points to new opportunities for early detection and precision medicine. Future approaches to OC treatment must focus on personalized strategies that target the inflammatory TME, integrating anti-inflammatory therapies with immunotherapy to enhance patient outcomes. Continued research into the interplay between inflammation and immune evasion in OC is essential for developing effective, long-lasting treatments.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。