| Literature DB >> 34019793 |
Aleksandar Obradovic1, Nivedita Chowdhury2, Scott M Haake3, Casey Ager4, Vinson Wang5, Lukas Vlahos6, Xinzheng V Guo4, David H Aggen4, W Kimryn Rathmell7, Eric Jonasch7, Joyce E Johnson7, Marc Roth7, Kathryn E Beckermann7, Brian I Rini7, James McKiernan8, Andrea Califano9, Charles G Drake10.
Abstract
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.Entities:
Keywords: CD8 T cell; Treg; clear cell renal carcinoma; clustering; gene regulatory networks; immunotherapy; post-surgical recurrence; protein activity inference; single-cell RNA sequencing; tumor microenvironment; tumor-infiltrating macrophage
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Year: 2021 PMID: 34019793 PMCID: PMC8479759 DOI: 10.1016/j.cell.2021.04.038
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850