Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
Laboratory of Clinical Genomics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Nat Commun. 2021 Mar 31;12(1):1998. doi: 10.1038/s41467-021-22303-z.
The heterogeneity of breast cancer plays a major role in drug response and resistance and has been extensively characterized at the genomic level. Here, a single-cell breast cancer mass cytometry (BCMC) panel is optimized to identify cell phenotypes and their oncogenic signalling states in a biobank of patient-derived tumour xenograft (PDTX) models representing the diversity of human breast cancer. The BCMC panel identifies 13 cellular phenotypes (11 human and 2 murine), associated with both breast cancer subtypes and specific genomic features. Pre-treatment cellular phenotypic composition is a determinant of response to anticancer therapies. Single-cell profiling also reveals drug-induced cellular phenotypic dynamics, unravelling previously unnoticed intra-tumour response diversity. The comprehensive view of the landscapes of cellular phenotypic heterogeneity in PDTXs uncovered by the BCMC panel, which is mirrored in primary human tumours, has profound implications for understanding and predicting therapy response and resistance.
乳腺癌的异质性在药物反应和耐药性中起着重要作用,并已在基因组水平上得到广泛研究。在这里,我们优化了一种单细胞乳腺癌质谱流式细胞术(BCMC)面板,以鉴定生物库中患者来源的肿瘤异种移植(PDTX)模型中代表人类乳腺癌多样性的细胞表型及其致癌信号状态。BCMC 面板鉴定了 13 种细胞表型(11 种人类和 2 种鼠类),与乳腺癌亚型和特定的基因组特征相关。治疗前的细胞表型组成是决定抗癌治疗反应的决定因素。单细胞分析还揭示了药物诱导的细胞表型动态变化,揭示了以前未被注意到的肿瘤内反应多样性。BCMC 面板揭示的 PDTX 中细胞表型异质性的全景图,在原发性人类肿瘤中得到了反映,这对理解和预测治疗反应和耐药性具有深远的意义。