基于 DNA 超分子水凝胶的保护性 NK 细胞储库用于增强三阴性乳腺癌治疗
Protective NK Cell Reservoir Based on DNA Supramolecular Hydrogel for Enhanced Triple-Negative Breast Cancer Therapy.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Predictive biomarkers of response to immunotherapy in triple-negative breast cancer - state of the art and future perspectives.
Predictive biomarkers of response to immunotherapy in triple-negative breast cancer - state of the art and future perspectives.
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使用免疫检查点抑制剂(ICIs)的免疫治疗开创了晚期三阴性乳腺癌(TNBC)患者治疗的新时代。然而,在相当大比例的TNBC患者中,ICIs治疗的临床结局仍不可预测,迫切需要合适的生物标志物来识别对免疫治疗敏感的肿瘤。目前,用于预测晚期TNBC患者ICIs疗效的最具临床相关性的生物标志物仍然是程序性死亡配体1(PD-L1)表达的免疫组化分析、肿瘤微环境(TME)中TIL(肿瘤浸润淋巴细胞)(TILs)的评估以及肿瘤突变负荷(TMB)的评估。与转化生长因子β信号通路激活、盘状结构域受体1和血小板反应蛋白-1相关的新兴生物标志物以及TME内存在的其他细胞和分子因子,有潜力在未来被用作ICIs应答的预测因子。
在本综述中,我们总结了目前关于TNBC中PD-L1表达调控机制、TILs的预测价值以及TME中相关细胞和分子成分的知识。此外,还讨论了TMB及在预测ICIs疗效方面具有潜在价值的新兴生物标志物,并概述了新的治疗策略。
Immunotherapy by using immune checkpoint inhibitors (ICIs) heralded a new era in the treatment of patients with advanced triple-negative breast cancer (TNBC). Nevertheless, in a substantial proportion of TNBC patients, the clinical outcomes of ICIs treatment remain unpredict-able and proper bio-markers to identify tumors sensitive to immunotherapy are urgently needed. Currently, the most clinically relevant bio-markers used to predict efficacy of ICIs in patients with advanced TNBC remain the immunohistochemical analysis of programmed death-ligand 1 (PD-L1) expression, the assessment of tumor infiltrating lymphocytes (TILs) present in the tumor microenvironment (TME), and the evaluation of the tumor mutational burden (TMB). Emerging bio-markers related to activation of the transforming growth factor beta signaling pathway, the discoidin domain receptor 1, and thrombospondin-1 as well as other cellular and molecular factors present within TME, have the potential to be utilized as predictors of response to ICIs in the future.
In this review, we summarize the current knowledge of mechanisms regulating PD-L1 expression, of the predictive value of TILs as well as of associated cellular and molecular components present in the TME in TNBC. Furthermore, TMB and emerging bio-markers with potential value in predicting efficacy of ICIs are discussed, and new therapeutic strategies will be outlined.
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