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早期乳腺癌新辅助I-SPY 2试验中免疫检查点抑制剂反应的多平台生物标志物。

Multi-platform biomarkers of response to an immune checkpoint inhibitor in the neoadjuvant I-SPY 2 trial for early-stage breast cancer.

作者信息

Campbell Michael J, Wolf Denise M, Yau Christina, Brown-Swigart Lamorna, Wulfkuhle Julie, Gallagher Isela R, Zhu Zelos, Bolen Jennifer, Vandenberg Scott, Hoyt Clifford, Mori Hidetoshi, Borowsky Alexander, Sit Laura, Perlmutter Jane, Asare Smita M, Nanda Rita, Liu Minetta C, Yee Douglas, DeMichele Angela M, Hylton Nola M, Pusztai Lajos, Berry Donald A, Hirst Gillian L, Petricoin Emanuel F, Veer Laura Van't, Esserman Laura

机构信息

Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.

Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.

出版信息

Cell Rep Med. 2024 Nov 19;5(11):101799. doi: 10.1016/j.xcrm.2024.101799. Epub 2024 Nov 6.

Abstract

Only a subset of patients with breast cancer responds to immune checkpoint blockade (ICB). To better understand the underlying mechanisms, we analyze pretreatment biopsies from patients in the I-SPY 2 trial who receive neoadjuvant ICB using multiple platforms to profile the tumor microenvironment. A variety of immune cell populations and markers of immune/cytokine signaling associate with pathologic complete response (pCR). Interestingly, these differ by breast cancer receptor subtype. Measures of the spatial distributions of immune cells within the tumor microenvironment, in particular colocalization or close spatial proximity of PD-1 T cells with PD-L1 cells (immune and tumor cells), are significantly associated with response in the overall cohort as well as the in the triple negative (TN) and HRHER2 subtypes. Our findings indicate that biomarkers associated with immune cell signaling, immune cell densities, and spatial metrics are predictive of neoadjuvant ICB efficacy in breast cancer.

摘要

只有一部分乳腺癌患者对免疫检查点阻断(ICB)有反应。为了更好地理解其潜在机制,我们分析了I-SPY 2试验中接受新辅助ICB治疗的患者的治疗前活检样本,使用多个平台对肿瘤微环境进行分析。多种免疫细胞群体以及免疫/细胞因子信号传导标志物与病理完全缓解(pCR)相关。有趣的是,这些在乳腺癌受体亚型中存在差异。肿瘤微环境内免疫细胞空间分布的测量指标,特别是PD-1 T细胞与PD-L1细胞(免疫细胞和肿瘤细胞)的共定位或紧密空间接近度,在整个队列以及三阴性(TN)和HRHER2亚型中均与反应显著相关。我们的研究结果表明,与免疫细胞信号传导、免疫细胞密度和空间指标相关的生物标志物可预测乳腺癌新辅助ICB的疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f608/11604542/c08de71e1b75/fx1.jpg

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