Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Oncode Institute-The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Clin Cancer Res. 2022 Mar 1;28(5):960-971. doi: 10.1158/1078-0432.CCR-21-1442.
Extensive work in preclinical models has shown that microenvironmental cells influence many aspects of cancer cell behavior, including metastatic potential and their sensitivity to therapeutics. In the human setting, this behavior is mainly correlated with the presence of immune cells. Here, in addition to T cells, B cells, macrophages, and mast cells, we identified the relevance of nonimmune cell types for breast cancer survival and therapy benefit, including fibroblasts, myoepithelial cells, muscle cells, endothelial cells, and seven distinct epithelial cell types.
Using single-cell sequencing data, we generated reference profiles for all these cell types. We used these reference profiles in deconvolution algorithms to optimally detangle the cellular composition of more than 3,500 primary breast tumors of patients that were enrolled in the SCAN-B and MATADOR clinical trials, and for which bulk mRNA sequencing data were available.
This large data set enables us to identify and subsequently validate the cellular composition of microenvironments that distinguish differential survival and treatment benefit for different treatment regimens in patients with primary breast cancer. In addition to immune cells, we have identified that survival and therapy benefit are characterized by various contributions of distinct epithelial cell types.
From our study, we conclude that differential survival and therapy benefit of patients with breast cancer are characterized by distinct microenvironments that include specific populations of immune and epithelial cells.
大量的临床前模型研究表明,微环境细胞会影响癌细胞行为的多个方面,包括转移潜能和对治疗的敏感性。在人类环境中,这种行为主要与免疫细胞的存在相关。在这里,除了 T 细胞、B 细胞、巨噬细胞和肥大细胞外,我们还确定了非免疫细胞类型对于乳腺癌患者生存和治疗获益的相关性,包括成纤维细胞、肌上皮细胞、肌肉细胞、内皮细胞和七种不同的上皮细胞类型。
我们使用单细胞测序数据,为所有这些细胞类型生成了参考图谱。我们使用这些参考图谱中的去卷积算法,对超过 3500 例来自 SCAN-B 和 MATADOR 临床试验的原发性乳腺癌患者的肿瘤进行了最优的细胞成分分析,这些患者的肿瘤均具有批量 mRNA 测序数据。
这个大型数据集使我们能够识别并随后验证微环境的细胞组成,这些微环境能够区分原发性乳腺癌患者不同治疗方案的生存和治疗获益差异。除了免疫细胞,我们还发现,生存和治疗获益的特征是不同上皮细胞类型的不同贡献。
从我们的研究中可以得出结论,乳腺癌患者的生存和治疗获益的差异特征是由包括特定免疫细胞和上皮细胞群体的不同微环境所决定的。