Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Department of Dermatology, NYU Langone Medical Center, New York, NY, USA.
Nat Genet. 2022 Aug;54(8):1192-1201. doi: 10.1038/s41588-022-01141-9. Epub 2022 Aug 5.
Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of cancer. Here, we perform a pan-cancer single-cell RNA-sequencing analysis across 15 cancer types and identify a catalog of gene modules whose expression defines recurrent cancer cell states including 'stress', 'interferon response', 'epithelial-mesenchymal transition', 'metal response', 'basal' and 'ciliated'. Spatial transcriptomic analysis linked the interferon response in cancer cells to T cells and macrophages in the tumor microenvironment. Using mouse models, we further found that induction of the interferon response module varies by tumor location and is diminished upon elimination of lymphocytes. Our work provides a framework for studying how cancer cell states interact with the tumor microenvironment to form organized systems capable of immune evasion, drug resistance and metastasis.
肿瘤恶性细胞中的转录异质性已在个别癌症类型中进行了研究,并显示其组织成癌细胞状态;然而,这些状态在多大程度上跨越肿瘤类型,构成癌症的一般特征,目前仍不清楚。在这里,我们对 15 种癌症类型进行了泛癌症单细胞 RNA 测序分析,并鉴定了一组基因模块,其表达定义了复发性癌细胞状态,包括“应激”、“干扰素反应”、“上皮-间充质转化”、“金属反应”、“基底”和“纤毛”。空间转录组学分析将癌细胞中的干扰素反应与肿瘤微环境中的 T 细胞和巨噬细胞联系起来。使用小鼠模型,我们进一步发现,干扰素反应模块的诱导因肿瘤位置而异,并在淋巴细胞消除后减少。我们的工作为研究癌细胞状态如何与肿瘤微环境相互作用形成有组织的系统提供了一个框架,这些系统能够逃避免疫、耐药和转移。