Evidence map›Paper›PMID 42008739›Full record

ArticleCancer research communications2026

Prognostic and Predictive Value of the Clearseq1-4 Tumor Microenvironment Classification in Localized and Metastatic Clear-Cell Renal Cell Carcinoma.

Lisa Kinget, Edward Scott McTaggart, Octavie Demeulenaere, Eduard Roussel, Bram Boeckx, Jessica Zucman-Rossi, Gabrielle Couchy, Henri Vandermeulen, Liesbeth De Wever, Marcella Baldewijns and 8 more

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Lisa KingetDepartment of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-7479-4793
Edward Scott McTaggartLaboratory of Computational Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0009-0004-4710-7670
Octavie DemeulenaereLaboratory of Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.ORCID 0009-0006-5986-2221
Eduard RousselDepartment of Urology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-7835-5536
Bram BoeckxLaboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-0296-6680
Jessica Zucman-RossiInserm, UMR-1138, Génomique fonctionnelle des tumeurs solides, Institut de recherche des Cordeliers, Université Paris Descartes, Paris, France.ORCID 0000-0002-5687-0334
Gabrielle CouchyInserm, UMR-1138, Génomique fonctionnelle des tumeurs solides, Institut de recherche des Cordeliers, Université Paris Descartes, Paris, France.ORCID 0009-0000-3999-0062
Henri VandermeulenDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-0697-3116
Liesbeth De WeverDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0003-3141-7573
Marcella BaldewijnsDepartment of Pathology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-0882-2944
Agnieszka WozniakLaboratory of Experimental Oncology (LEO), Department of Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.ORCID 0000-0001-9726-144X
Steven JoniauDepartment of Urology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0003-3195-9890
Diether LambrechtsLaboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-3429-302X
Stefan NaulaertsLaboratory of Computational Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0002-1880-6374
Abhishek D GargLaboratory of Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.ORCID 0000-0002-9976-9922
Annelies VerbiestDepartment of Medical Oncology, Multidisciplinary Oncological Center Antwerp (MOCA), University Hospital Antwerp, Edegem, Belgium.ORCID 0000-0001-9024-863X
Maarten AlbersenDepartment of Urology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-6763-6586
Benoit BeuselinckDepartment of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0001-7427-9102

Funding

Fonds Wetenschappelijk Onderzoek (FWO) 1150526NFonds Wetenschappelijk Onderzoek (FWO) 1801525NFonds Wetenschappelijk Onderzoek (FWO) G026225NFonds Wetenschappelijk Onderzoek (FWO) G026325NStichting Tegen Kanker (Fondation Contre le Cancer) 2024-185_C2728
6 · The paper itself

Abstract

The ccrcc1-4 transcriptomic subtypes were previously identified in fresh-frozen clear-cell renal cell carcinoma (ccRCC) samples and have proven their prognostic value after nephrectomy/metastasectomy and predictive value for first-line vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKI). We aimed to create a consensus molecular classification approach called Clearseq1-4 on formalin-fixed, paraffin-embedded (FFPE) tissues and to evaluate its prognostic and predictive value across the RCC treatment landscape. RNA sequencing of tumoral FFPE tissue was performed. A classifier called Clearseq was designed to determine ccrcc1-4 subtypes. Subtypes were correlated with outcomes after surgical and systemic therapies. External validation and characterization at the single-cell transcriptomic level were pursued. A total of 668 tumoral samples (337 primary tumors and 331 metastases) from 364 patients were assigned to ccrcc1, ccrcc2, ccrcc3, and ccrcc4 tumors. The angiogenic ccrcc2 subtype had a favorable prognosis after nephrectomy in a localized setting, after cytoreductive nephrectomy, and upon metastasectomy with curative intent and was correlated with improved outcomes on first-line VEGFR-TKIs. Ccrcc4 tumors were enriched for sarcomatoid features and had the largest treatment benefit from immune checkpoint blockade (ICB) treatment in any line, resulting in overall survival outcomes comparable with those of less aggressive subtypes. These findings were corroborated in a post-nephrectomy cohort and external cohorts of metastatic patients treated with ICB and/or angiogenesis inhibitors. We created a consensus molecular classification approach, called Clearseq1-4, in order to predict the ccrcc1-4 molecular subtype on FFPE tissues and confirmed its performance with respect to previous biomarker findings for both surgical and systemic treatment approaches. SIGNIFICANCE: Clear-cell kidney cancers display a more indolent or aggressive clinical behavior after surgery and different sensitivities to currently available medical therapies: immune therapy or angiogenesis inhibitors. We developed an easy-to-use molecular classification that divides these tumors into four subgroups predicting outcomes after surgery or upon medical therapy.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsTumor MicroenvironmentAgedFemaleHumansMaleNephrectomyPredictive Value of TestsPrognosisTranscriptomeBiomarkers, Tumor

Identifiers

PMID42008739
PMCPMC13095203

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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 OpenQuestion graph.