生物
癌症研究
细胞生物学
细胞
计算生物学
免疫学
遗传学
作者
Aleksandar Z. Obradovic,Nivedita Chowdhury,Scott M. Haake,Casey R. Ager,Vinson Wang,Lukas Vlahos,Xinzheng V. Guo,David H. Aggen,W. Kimryn Rathmell,Eric Jonasch,Joyce E. Johnson,Marc Roth,Kathryn E. Beckermann,Brian I. Rini,James M. McKiernan,Andrea Califano,Charles G. Drake
出处
期刊:Cell
[Cell Press]
日期:2021-05-01
卷期号:184 (11): 2988-3005.e16
被引量:236
标识
DOI:10.1016/j.cell.2021.04.038
摘要
Summary
Clear cell renal carcinoma (ccRCC) is a heterogeneous disease with a variable post-surgical course. To assemble a comprehensive ccRCC tumor microenvironment (TME) atlas, we performed single-cell RNA sequencing (scRNA-seq) of hematopoietic and non-hematopoietic subpopulations from tumor and tumor-adjacent tissue of treatment-naive ccRCC resections. We leveraged the VIPER algorithm to quantitate single-cell protein activity and validated this approach by comparison to flow cytometry. The analysis identified key TME subpopulations, as well as their master regulators and candidate cell-cell interactions, revealing clinically relevant populations, undetectable by gene-expression analysis. Specifically, we uncovered a tumor-specific macrophage subpopulation characterized by upregulation of TREM2/APOE/C1Q, validated by spatially resolved, quantitative multispectral immunofluorescence. In a large clinical validation cohort, these markers were significantly enriched in tumors from patients who recurred following surgery. The study thus identifies TREM2/APOE/C1Q-positive macrophage infiltration as a potential prognostic biomarker for ccRCC recurrence, as well as a candidate therapeutic target.
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