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评估妇科癌症的免疫疗法疗效。

Evaluation of immunotherapy efficacy in gynecologic cancer.

机构信息

Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.

School of Medicine, Tongji University, Shanghai, China.

出版信息

Front Immunol. 2023 Jan 31;14:1061761. doi: 10.3389/fimmu.2023.1061761. eCollection 2023.

Abstract

Various immunotherapies have demonstrated remarkable success over the past few decades, and have been approved for the treatment of different cancer types. However, patient responses to immunotherapy are variable, and approximately 50% of cases are refractory to these agents. Tumor biomarker-based stratification of cases may therefore help identify subpopulations that are sensitive/resistant to immunotherapy; it may also improve prediction of response in various cancers including gynecologic cancer. These biomarkers include the tumor mutational burden, microsatellite instability, mismatch repair deficiency, T cell-inflamed gene expression profile, programmed cell death protein 1 ligand 1, tumor-infiltrating lymphocytes, and numerous other genomic alterations. Future directions in the treatment of gynecologic cancer include the utilization of these biomarkers to select ideal candidates. This review focused on recent advances in the predictive ability of molecular biomarkers in patients with gynecologic cancer who undergo immunotherapy. The most recent developments in combined immunotherapy and targeted therapy strategies and novel immune interventions against gynecologic cancers have also been discussed.

摘要

在过去几十年中,各种免疫疗法取得了显著的成功,并已被批准用于治疗不同类型的癌症。然而,患者对免疫疗法的反应各不相同,大约有 50%的病例对这些药物有抗药性。因此,基于肿瘤生物标志物的病例分层可能有助于识别对免疫疗法敏感/耐药的亚群;它还可以提高对包括妇科癌症在内的各种癌症的反应预测。这些生物标志物包括肿瘤突变负担、微卫星不稳定性、错配修复缺陷、T 细胞浸润基因表达谱、程序性死亡蛋白 1 配体 1、肿瘤浸润淋巴细胞以及许多其他基因组改变。妇科癌症治疗的未来方向包括利用这些生物标志物来选择理想的候选者。本综述重点介绍了妇科癌症患者接受免疫治疗时分子生物标志物预测能力的最新进展。还讨论了联合免疫疗法和靶向治疗策略以及针对妇科癌症的新型免疫干预措施的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb45/9922993/cf8b63ac2e2a/fimmu-14-1061761-g001.jpg

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