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单细胞和空间图谱识别三阴性乳腺癌对帕博利珠单抗和放疗的三种应答轨迹

英文原题:Single-cell and spatial profiling identify three response trajectories to pembrolizumab and radiation therapy in triple negative breast cancer.

查看英文原题

Single-cell and spatial profiling identify three response trajectories to pembrolizumab and radiation therapy in triple negative breast cancer.

PubMed 2024/01/08(内容时间) Cancer Cell Q1 · IF 56.1(JCR 2025)

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中文摘要

需要制定策略,以更好地识别哪些患者仅靠免疫治疗即可获益,或哪些患者可能需要化疗或放疗等额外治疗来克服耐药。在此,我们采用单细胞转录组学和空间蛋白质组学,对基线时、接受一个周期pembrolizumab后以及接受第二个周期pembrolizumab联合放疗后采集的三阴性乳腺癌活检样本进行分析。无应答者在治疗前后均缺乏免疫浸润,并表现出极小的治疗诱导免疫变化。应答肿瘤形成两组,可在治疗前通过分类器区分,其中一组显示高主要组织相容性复合体表达、三级淋巴结构证据,并在治疗前表现出抗肿瘤免疫。另一应答组在基线时类似于无应答者,仅在联合治疗后才会启动最大免疫应答,其特征为细胞毒性T细胞与抗原呈递髓系细胞相互作用,这一现象在三阴性乳腺癌小鼠模型中也有体现。

展开英文摘要原文

Strategies are needed to better identify patients that will benefit from immunotherapy alone or who may require additional therapies like chemotherapy or radiotherapy to overcome resistance.

Here we employ single-cell transcriptomics and spatial proteomics to profile triple negative breast cancer biopsies taken at baseline, after one cycle of pembrolizumab, and after a second cycle of pembrolizumab given with radiotherapy. Non-responders lack immune infiltrate before and after therapy and exhibit minimal therapy-induced immune changes.

Responding tumors form two groups that are distinguishable by a classifier prior to therapy, with one showing high major histocompatibility complex expression, evidence of tertiary lymphoid structures, and displaying anti-tumor immunity before treatment. The other responder group resembles non-responders at baseline and mounts a maximal immune response, characterized by cytotoxic T cell and antigen presenting myeloid cell interactions, only after combination therapy, which is mirrored in a murine model of triple negative breast cancer.

论文信息

作者
Shiao SL、Gouin KH 3rd、Ing N、Ho A、Basho R、Shah A、Mebane RH、Zitser D
第一作者单位
Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address: stephen.shiao@cshs.org.United States
通讯作者单位
Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address: simon.knott@cshs.org.United States
文献类型
美国 NIH 资助研究 · 非美国政府资助研究
期刊
Cancer cell2024 Jan 8
原文标识
PubMed 38194915 · DOI 10.1016/j.ccell.2023.12.012