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

Updated January 30, 2023

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.

Andrea CalifanoDepartment of Systems Biology, HICC, New York, NY 10032, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; HICC, Columbia University, New York, NY, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY; Department of Biomedical Informatics, Columbia University, New York, NY, USA; Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA; J.P. Sulzberger Columbia Genome Center, New York, NY, USA. Electronic address: ac2248@cumc.columbia.edu.
Charles G DrakeColumbia Center for Translational Immunology (CCTI), Columbia University Irving Medical Center (CUMC), New York, NY 10032, USA; Department of Urology, Herbert Irving Comprehensive Cancer Center (HICC), New York, NY 10032, USA; HICC, Columbia University, New York, NY, USA. Electronic address: cgd2139@columbia.edu.
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
1Columbia Center for Translational Immunology (CCTI), Columbia University Irving Medical Center (CUMC), New York, NY 10032, USA; Department of Systems Biology, HICC, New York, NY 10032, USA.
2Columbia Center for Translational Immunology (CCTI), Columbia University Irving Medical Center (CUMC), New York, NY 10032, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
3MD Anderson Cancer Center, Houston, TX, USA.
4Columbia Center for Translational Immunology (CCTI), Columbia University Irving Medical Center (CUMC), New York, NY 10032, USA.
5Department of Urology, Herbert Irving Comprehensive Cancer Center (HICC), New York, NY 10032, USA.
6Department of Systems Biology, HICC, New York, NY 10032, USA.
7Vanderbilt University Medical Center, Nashville, TN, USA.
8Department of Urology, Herbert Irving Comprehensive Cancer Center (HICC), New York, NY 10032, USA; HICC, Columbia University, New York, NY, USA.
9Department of Systems Biology, HICC, New York, NY 10032, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; HICC, Columbia University, New York, NY, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY; Department of Biomedical Informatics, Columbia University, New York, NY, USA; Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA; J.P. Sulzberger Columbia Genome Center, New York, NY, USA. Electronic address: ac2248@cumc.columbia.edu.
10Columbia Center for Translational Immunology (CCTI), Columbia University Irving Medical Center (CUMC), New York, NY 10032, USA; Department of Urology, Herbert Irving Comprehensive Cancer Center (HICC), New York, NY 10032, USA; HICC, Columbia University, New York, NY, USA. Electronic address: cgd2139@columbia.edu.
Wei Kheng Teh

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/95d058bc-9cec-4c88-8d2c-05b4a45bf24f

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://data.mendeley.com/datasets/nc9bc8dn4m/12.https://github.com/Aleksobrad/single-cell-rcc-pipeline
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Analysis Portals

None

Project Label

Califano-Human-10x3pv2

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

Unspecified

Selected Cell Types

2 cell types

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

clear cell renal carcinoma

Development Stage

human adult stage

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

processed_matrix_generation, raw_matrix_generation

File Format

6 file formats

Cell Count Estimate

200.0k

Donor Count

11
.mtx8 file(s).mtx.gz32 file(s).rds2 file(s).tsv16 file(s).tsv.gz64 file(s)xlsx1 file(s)