Single-cell protein activity analysis identifies recurrence-associated renal tumor macrophages
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
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.