Molecular profiling of primary versus paired asynchronous metastatic clear cell renal cell carcinoma reveals heterogeneity in tumor immune microenvironment

The tumor immune microenvironment (TIME) shows significant heterogeneity in primary clear cell renal cell carcinoma (ccRCC). As TIME heterogeneity between primary and paired metastatic tumors of ccRCC is less understood, we characterized and compared the TIME of primary ccRCC with paired asynchronous metastases. We analyzed patients who developed ccRCC recurrence post radical nephrectomy and had both primary and metastatic treatment-naïve tissue available. Capture whole-transcriptome sequencing was performed on formalin-fixed paraffin-embedded (FFPE) specimens using the Illumina platform. Differential gene expression (DGE) analysis and gene set enrichment analysis (GSE) was performed using R packages limma and fgsea respectively. TIME deconvolution was quantified using CIBERSORT, an in-silico flow cytometry tool. In aggregate, 42 tumor samples from 19 patients (19 primary tumors with 23 matched metastases) were analyzed. Metastatic sites included lung (n = 6), bone (n = 6), adrenal (n = 4), liver (n = 2), lymph node (n = 2), and soft tissue (n = 3). In unsupervised hierarchical clustering, primary tumors clustered together and not with their matched metastatic tumor. Of the immune cells assayed, primary tumors displayed greater Tregs than their matched (and unmatched) metastases (p < 0.001). Among metastatic sites, bone had high levels of EMT activity compared to their matched primary tumors and lung metastatic tumors were enriched in E2F targets. We demonstrate differences in pathway enrichment and immune cell populations in primary ccRCC and their matched metastases, including a higher infiltration of immunosuppressive T regulatory cells in the tumor immune microenvironment of primary ccRCC. Metastatic tumors not only differed from their paired primary tumors but also differed in gene expression, gene set enrichment, and immune cell composition between metastatic tissue sites.

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Publication Details

Journal
Scientific Reports
Published
2026-01-28
DOI
https://doi.org/10.1038/s41598-026-35021-7
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Molecular profiling of primary versus paired asynchronous metastatic clear cell renal cell carcinoma reveals heterogeneity in tumor immune microenvironment

Amy Kasputis, Srinivas Nallandhighal, Daniel Triner, Steven Monda et al.
Scientific Reports
Renal cell carcinoma treatment
article

Molecular profiling of primary versus paired asynchronous metastatic clear cell renal cell carcinoma reveals heterogeneity in tumor immune microenvironment

Amy Kasputis, Srinivas Nallandhighal, Daniel Triner, Steven Monda, Zayne Knuth, Yuping Zhang, R. Mehra, Fengyun Su, Aaron M. Udager, Brittney H. Cotta, Saravana M. Dhanasekaran, Rui Wang, Marcin Cieślik, Xuhong Cao, Simpa S. Salami, Ganesh S. Palapattu
article en

Abstract

The tumor immune microenvironment (TIME) shows significant heterogeneity in primary clear cell renal cell carcinoma (ccRCC). As TIME heterogeneity between primary and paired metastatic tumors of ccRCC is less understood, we characterized and compared the TIME of primary ccRCC with paired asynchronous metastases. We analyzed patients who developed ccRCC recurrence post radical nephrectomy and had both primary and metastatic treatment-naïve tissue available. Capture whole-transcriptome sequencing was performed on formalin-fixed paraffin-embedded (FFPE) specimens using the Illumina platform. Differential gene expression (DGE) analysis and gene set enrichment analysis (GSE) was performed using R packages limma and fgsea respectively. TIME deconvolution was quantified using CIBERSORT, an in-silico flow cytometry tool. In aggregate, 42 tumor samples from 19 patients (19 primary tumors with 23 matched metastases) were analyzed. Metastatic sites included lung (n = 6), bone (n = 6), adrenal (n = 4), liver (n = 2), lymph node (n = 2), and soft tissue (n = 3). In unsupervised hierarchical clustering, primary tumors clustered together and not with their matched metastatic tumor. Of the immune cells assayed, primary tumors displayed greater Tregs than their matched (and unmatched) metastases (p < 0.001). Among metastatic sites, bone had high levels of EMT activity compared to their matched primary tumors and lung metastatic tumors were enriched in E2F targets. We demonstrate differences in pathway enrichment and immune cell populations in primary ccRCC and their matched metastases, including a higher infiltration of immunosuppressive T regulatory cells in the tumor immune microenvironment of primary ccRCC. Metastatic tumors not only differed from their paired primary tumors but also differed in gene expression, gene set enrichment, and immune cell composition between metastatic tissue sites.

Scientific ReportsVol. 16(1)
The University of Texas MD Anderson Cancer Center (US), Howard Hughes Medical Institute (US), University of Michigan (US), Michigan Medicine (US), Michigan Center for Translational Pathology (US)
National Comprehensive Cancer Network, Astellas Pharma, Peking University, Peking University Health Science Center
Good health and well-being
Openalex Percentile: Top 76%
Renal cell carcinoma treatment
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