ArticleNature communications2026
Fusion-driven oncogenic programs shape the immune landscape in translocation renal cell carcinoma.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Cell-free DNA epigenomic profiling enables noninvasive detection and monitoring of translocation renal cell carcinoma.The Journal of clinical investigation · 2026Article
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24 authors.
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Abstract
Renal cell carcinomas (RCC) comprise multiple molecularly distinct cancers but most are treated empirically with therapies designed for clear cell RCC (ccRCC), the most common subtype, due to incomplete understanding of subtype-specific biology. We analyzed single-cell transcriptomes and chromatin accessibility profiles from translocation renal cell carcinoma (tRCC), an aggressive RCC defined by oncogenic TFE3 gene fusions. We show that, despite arising from a proximal tubule cell of origin similar to ccRCC, tRCCs display distinct oncogenic programs and an immunosuppressive tumor microenvironment (TME). tRCCs exhibit six conserved tumor meta-programs, including epithelial-mesenchymal transition (EMT) and proximal tubule identity programs whose balance is regulated by TFE3 fusion activity. The fusion-driven EMT program drives a suppressive TME marked by progenitor-exhausted CD8 + T cells, anti-inflammatory SPP1+ macrophages, and matrix-associated fibroblasts. Our findings highlight unique TFE3 fusion-driven biology in tRCC, explaining its reduced immunotherapy responsiveness relative to ccRCC, and suggesting strategies for targeting fusion-driven oncogenic programs and TME reprogramming.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.