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考虑 B 细胞行为和采样偏倚可预测膀胱癌抗 PD-L1 治疗反应

英文原题:Accounting for B-cell Behavior and Sampling Bias Predicts Anti-PD-L1 Response in Bladder Cancer.

PubMed 2022/03/01(内容时间) Cancer Immunol Res Q1 · IF 7.9(JCR 2025)

研究概要

癌症免疫治疗主要基于以T细胞为中心的方法。

中文摘要

癌症免疫治疗主要基于以T细胞为中心的方法。与此同时,肿瘤环境中的适应性免疫反应还包括克隆产生的免疫球蛋白和克隆效应/记忆B细胞,它们通过与T细胞的相互作用参与抗原特异性决策。在此,我们通过对患者数据集中肿瘤内免疫球蛋白库的分析,研究了浸润性B细胞在膀胱癌中的作用。我们发现,IgG1/IgA比值是多种膀胱癌亚型以及整个IMVigor210抗PD-L1免疫治疗研究队列的预后指标。高IgG1/IgA比值与细胞毒性基因特征、T细胞受体信号传导和IL21介导的信号传导的显著性相关。免疫球蛋白库分析表明,参与抗肿瘤反应的是效应B细胞功能,而非克隆产生的抗体。从T细胞方面,我们针对免疫细胞浸润程度对细胞毒性特征进行了标准化,以中和免疫基因表达中基于采样的人工变异性。所得指标反映了肿瘤浸润免疫细胞中细胞毒性细胞的比例,并改善了对anti-PD-L1反应的预测。同时,IgG1/IgA比值仍是一个独立的预后因素。整合B细胞、NK 细胞和T细胞特征能够最准确地预测anti-PD-L1治疗反应。基于这些发现,我们开发了一种名为PRedIctive MolecUlar Signature (PRIMUS)的预测器,其表现优于PD-L1表达评分和已知的基因特征。总体而言,PRIMUS能够可靠地识别肌肉浸润性尿路上皮癌患者中的应答者,包括低浸润性“荒漠”肿瘤表型的亚队列。

展开英文摘要原文

Cancer immunotherapy is predominantly based on T cell-centric approaches. At the same time, the adaptive immune response in the tumor environment also includes clonally produced immunoglobulins and clonal effector/memory B cells that participate in antigen-specific decisions through their interactions with T cells. Here, we investigated the role of infiltrating B cells in bladder cancer via patient dataset analysis of intratumoral immunoglobulin repertoires. We showed that the IgG1/IgA ratio is a prognostic indicator for several subtypes of bladder cancer and for the whole IMVigor210 anti-PD-L1 immunotherapy study cohort. A high IgG1/IgA ratio associated with the prominence of a cytotoxic gene signature, T-cell receptor signaling, and IL21-mediated signaling. Immunoglobulin repertoire analysis indicated that effector B-cell function, rather than clonally produced antibodies, was involved in antitumor responses. From the T-cell side, we normalized a cytotoxic signature against the extent of immune cell infiltration to neutralize the artificial sampling-based variability in immune gene expression. Resulting metrics reflected proportion of cytotoxic cells among tumor-infiltrating immune cells and improved prediction of anti-PD-L1 responses. At the same time, the IgG1/IgA ratio remained an independent prognostic factor. Integration of the B-cell, natural killer cell, and T-cell signatures allowed for the most accurate prediction of anti-PD-L1 therapy responses. On the basis of these findings, we developed a predictor called PRedIctive MolecUlar Signature (PRIMUS), which outperformed PD-L1 expression scores and known gene signatures. Overall, PRIMUS allows for reliable identification of responders among patients with muscle-invasive urothelial carcinoma, including the subcohort with the low-infiltrated "desert" tumor phenotype.

论文信息

作者
Dyugay IA、Lukyanov DK、Turchaninova MA、Serebrovskaya EO、Bryushkova EA、Zaretsky AR、Khalmurzaev O、Matveev VB
单位
Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.Russia
文献类型
非美国政府资助研究
期刊
Cancer immunology research2022 Mar 1
原文标识
PubMed 35013004 · DOI 10.1158/2326-6066.CIR-21-0489