免疫检查点阻断通过扩增效应 CD8⁺ T 细胞克隆增强淋巴细胞清除性化疗诱导的抗肿瘤免疫
Immune Checkpoint Blockade Augments Lymphodepleting Chemotherapy-Induced Antitumor Immunity by Expanding Effector CD8+ T-cell Clones.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tumor-infiltrating lymphocytes as a prognostic and predictive factor for Melanoma.
Tumor-infiltrating lymphocytes as a prognostic and predictive factor for Melanoma.
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TIL(肿瘤浸润淋巴细胞)在皮肤黑色素瘤中发挥着异质性作用。尽管历史上它们一直与生存改善相关,但其作为独立预后或预测因素的地位仍不确定。新的 TIL 评估方法,如确定 TIL 亚型和分子信号传导,显示出预测治疗反应的潜力。此外,尽管它们在黑色素瘤治疗风险分层中的临床效用显示出前景,但缺乏共识数据阻碍了标准化应用。
TIL(肿瘤浸润淋巴细胞)(TILs)已被研究作为黑色素瘤的预后因素。随着免疫检查点阻断的更广泛应用,近期在评估肿瘤微环境方面的进展重新激发了人们对识别预测性生物标志物的兴趣。本综述探讨了TILs在皮肤黑色素瘤中的功能和意义,评估其作为预后和预测标志物的潜力。涵盖领域:在PubMed和Web of Science上对从建库至2023年12月1日可在线获取的关于皮肤黑色素瘤中TIL(肿瘤浸润淋巴细胞)的论文进行了文献检索,并辅以引文检索。本文涵盖TILs的评估、TILs在免疫微环境中的作用、TILs作为预后因素、TILs作为免疫治疗反应的预测因素,以及TILs在皮肤黑色素瘤治疗中的临床应用。
INTRODUCTION: Tumor-infiltrating lymphocytes (TILs) have been investigated as prognostic factors in melanoma. Recent advancements in assessing the tumor microenvironment in the setting of more widespread use of immune checkpoint blockade have reignited interest in identifying predictive biomarkers. This review examines the function and significance of TILs in cutaneous melanoma, evaluating their potential as prognostic and predictive markers. AREAS COVERED: A literature search was conducted on papers covering tumor infiltrating lymphocytes in cutaneous melanoma available online in PubMed and Web of Science from inception to 1 December 2023, supplemented by citation searching.
This article encompasses the assessment of TILs, the role of TILs in the immune microenvironment, TILs as a prognostic factor, TILs as a predictive factor for immunotherapy response, and clinical applications of TILs in the treatment of cutaneous melanoma. EXPERT OPINION: Tumor-infiltrating lymphocytes play a heterogeneous role in cutaneous melanoma.
While they have historically been associated with improved survival, their status as independent prognostic or predictive factors remains uncertain. Novel methods of TIL assessment, such as determination of TIL subtypes and molecular signaling, demonstrate potential for predicting therapeutic response.
Further, while their clinical utility in risk-stratification in melanoma treatment shows promise, a lack of consensus data hinders standardized application.
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