肿瘤微环境
细胞
生物
免疫系统
免疫疗法
癌症研究
清除单元格
肾细胞癌
疾病
病理
电池类型
免疫学
肿瘤细胞
医学
遗传学
作者
Yuping Zhang,Sathiya Pandi Narayanan,Rahul Mannan,Gregory Raskind,Xiaoming Wang,Pankaj Vats,Fengyun Su,Noshad Hosseini,Xuhong Cao,Chandan Kumar‐Sinha,Stephanie J. Ellison,Thomas J. Giordano,Todd M. Morgan,Sethuramasundaram Pitchiaya,Ajjai Alva,Rohit Mehra,Marcin Cieślik,Saravana M. Dhanasekaran,Arul M. Chinnaiyan
标识
DOI:10.1073/pnas.2103240118
摘要
Diverse subtypes of renal cell carcinomas (RCCs) display a wide spectrum of histomorphologies, proteogenomic alterations, immune cell infiltration patterns, and clinical behavior. Delineating the cells of origin for different RCC subtypes will provide mechanistic insights into their diverse pathobiology. Here, we employed single-cell RNA sequencing (scRNA-seq) to develop benign and malignant renal cell atlases. Using a random forest model trained on this cell atlas, we predicted the putative cell of origin for more than 10 RCC subtypes. scRNA-seq also revealed several attributes of the tumor microenvironment in the most common subtype of kidney cancer, clear cell RCC (ccRCC). We elucidated an active role for tumor epithelia in promoting immune cell infiltration, potentially explaining why ccRCC responds to immune checkpoint inhibitors, despite having a low neoantigen burden. In addition, we characterized an association between high endothelial cell types and lack of response to immunotherapy in ccRCC. Taken together, these single-cell analyses of benign kidney and RCC provide insight into the putative cell of origin for RCC subtypes and highlight the important role of the tumor microenvironment in influencing ccRCC biology and response to therapy.
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