ArticleCancer research communications2026
Prognostic and Predictive Value of the Clearseq1-4 Tumor Microenvironment Classification in Localized and Metastatic Clear-Cell Renal Cell Carcinoma.
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.
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.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.