Evidence map›Paper›PMID 42645539›Full record

SynthesisCancer metastasis reviews2026

Molecular biomarkers in metastatic clear cell renal cell carcinoma treated with first-line immune combinations: a systematic review of phase III randomized clinical trials by Meet-URO group.

Anna Amela Valsecchi, Michele Maffezzoli, Maria Concetta Cursano, Fabrizio Di Costanzo, Andrea Malgeri, Mattia Alberto Di Civita, Brigida Maiorano, Carlo Messina, Giuseppe Procopio, Davide Bimbatti and 3 more

Abstract readSystematic ReviewReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

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.

2 · The registry

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.

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

13 authors.

Anna Amela Valsecchi *Department of Oncology, University of Turin, A.O.U. Città Della Salute E Della Scienza Di Torino, Ospedale Molinette, Turin, Italy.
Michele Maffezzoli *Oncology Unit, University Hospital of Parma, Parma, Italy.
Maria Concetta CursanoDepartment of Oncology, IRCCS Istituto Romagnolo Per Lo Studio Dei Tumori (IRST) Dino Amadori, Meldola, Italy.
Fabrizio Di CostanzoTranslational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle Upon Tyne, UK.
Andrea MalgeriDepartment of Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Mattia Alberto Di CivitaDepartment of Experimental Medicine, Sapienza University of Rome, Rome, 00161, Italy.
Brigida MaioranoDepartment of Medical Oncology, IRCCS San Raffaele Hospital, Milan, Italy.
Carlo MessinaOncologu Unit, ARNAS Civico Benfratelli Di Cristina, Palermo, Italy.
Giuseppe ProcopioDepartment of Oncology, Istituto Nazionale Tumori Milano, Milan, Italy.
Davide BimbattiOncology 1 Unit, Istituto Oncologico Veneto, IOV - IRCCS, Padua, Italy.
Sebastiano ButiMedicine and Surgery Department, University of Parma, Viale Antonio Gramsci, 14, 43126, Parma, Italy. sebastiano.buti@unipr.it.ORCID http://orcid.org/0000-0003-0876-0226
Sara Elena RebuzziMedical Oncology Unit 2, Ospedale Molinette, A.O.U. Città Della Salute E Della Scienza Di Torino, Ospedale Molinette, Turin, Italy.
Massimo Di MaioDepartment of Oncology, University of Turin, A.O.U. Città Della Salute E Della Scienza Di Torino, Ospedale Molinette, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitor (ICI)-based combinations represent the standard first-line treatment for metastatic clear cell renal cell carcinoma (mRCC), although robust biomarkers for treatment selection remain undefined. We conducted a systematic review to identify biomarkers assessed in randomized clinical trials (RCTs) on first-line ICI-based regimens. Following PRISMA guidelines, we searched PubMed, Web of Science and Scopus (January 2018-October 2025) for phase III RCTs investigating first-line ICI-based therapies in mRCC with molecular or circulating biomarker analyses. Given heterogeneity across studies, a qualitative synthesis was performed. Sixteen reports were included. Biomarkers were assessed using immunohistochemistry, transcriptomics, genomic sequencing and blood analyses. PD-L1 expression did not reliably discriminate benefit across ICI-based combinations, although it revealed a negative prognostic influence with sunitinib and a potential predictive role for nivolumab-ipilimumab. Tumours with angiogenic signatures were consistently associated with improved outcomes, suggesting prognostic relevance, while derived limited additional benefit from ICIs. Immune-related signatures were associated with ICI response, whereas proliferation and MYC-related signatures identified disease with poor prognosis across treatments. Individual mutations (e.g. PBRM1, VHL, BAP1, PTEN) showed heterogeneous and mainly prognostic associations, whereas composite gene panels (e.g. rDM) may offer better predictive value. Circulating biomarkers, including inflammatory cytokines and KIM-1 dynamics, demonstrated promising prognostic and early predictive signals. No validated biomarker currently supports treatment selection among first-line ICI-based combinations in mRCC. Future research should prioritize adaptive, biomarker-guided trial designs integrating longitudinal multi-omic profiling and circulating biomarkers to generate clinical evidence and support personalized treatments.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellImmune Checkpoint InhibitorsKidney NeoplasmsClinical Trials, Phase III as TopicHumansPrognosisRandomized Controlled Trials as TopicBiomarkers, TumorImmune Checkpoint InhibitorsBiomarkersClear cell renal cell carcinomaFirst lineImmunotherapyMolecular

Identifiers

PMID42645539
PMCPMC13518418

What OpenQuestion holds

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Registered trials

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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.