VIB Center for Cancer Biology, Leuven, Belgium.
Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Nat Med. 2018 Aug;24(8):1277-1289. doi: 10.1038/s41591-018-0096-5. Epub 2018 Jul 9.
Cancer cells are embedded in the tumor microenvironment (TME), a complex ecosystem of stromal cells. Here, we present a 52,698-cell catalog of the TME transcriptome in human lung tumors at single-cell resolution, validated in independent samples where 40,250 additional cells were sequenced. By comparing with matching non-malignant lung samples, we reveal a highly complex TME that profoundly molds stromal cells. We identify 52 stromal cell subtypes, including novel subpopulations in cell types hitherto considered to be homogeneous, as well as transcription factors underlying their heterogeneity. For instance, we discover fibroblasts expressing different collagen sets, endothelial cells downregulating immune cell homing and genes coregulated with established immune checkpoint transcripts and correlating with T-cell activity. By assessing marker genes for these cell subtypes in bulk RNA-sequencing data from 1,572 patients, we illustrate how these correlate with survival, while immunohistochemistry for selected markers validates them as separate cellular entities in an independent series of lung tumors. Hence, in providing a comprehensive catalog of stromal cells types and by characterizing their phenotype and co-optive behavior, this resource provides deeper insights into lung cancer biology that will be helpful in advancing lung cancer diagnosis and therapy.
癌细胞嵌入肿瘤微环境(TME)中,这是一个由基质细胞组成的复杂生态系统。在这里,我们以单细胞分辨率呈现了人类肺部肿瘤 TME 转录组的 52698 个细胞目录,在独立样本中进行了验证,其中还对 40250 个额外的细胞进行了测序。通过与匹配的非恶性肺样本进行比较,我们揭示了一个高度复杂的 TME,它深刻地塑造了基质细胞。我们确定了 52 种基质细胞亚型,包括在迄今被认为是同质的细胞类型中出现的新型亚群,以及它们异质性的潜在转录因子。例如,我们发现表达不同胶原蛋白的成纤维细胞,下调免疫细胞归巢的内皮细胞,以及与已建立的免疫检查点转录本以及与 T 细胞活性相关的基因共同调控的基因。通过评估这些细胞亚型在来自 1572 名患者的批量 RNA 测序数据中的标记基因,我们说明了这些基因如何与生存相关,而对选定标记物的免疫组织化学验证表明它们是在独立的一系列肺癌肿瘤中是独立的细胞实体。因此,通过提供基质细胞类型的综合目录,并描述其表型和共适应性行为,该资源为深入了解肺癌生物学提供了更深入的见解,这将有助于推进肺癌的诊断和治疗。