Evidence map›Paper›PMID 39465007›Full record

ReviewExploration of targeted anti-tumor therapy2024

Blood-based circulating biomarkers for prediction of immune-checkpoint inhibitors efficacy in renal cell carcinoma.

Loubna Omri, Marie Naigeon, Ronan Flippot, Javier Gavira-Díaz, Jesus Poveda-Ferriols, Dan Nguyen, Chaimae Abdi, Alvaro Arroyo-Salgado, Nathalie Chaput, Guillermo de Velasco and 2 more

Abstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Biomarkers and testing in pathology.Current opinion in urology · 2026
    Review
  3. Article
  4. Article
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

12 authors.

Loubna OmriDepartment of Medical Oncology, National Institute of Oncology, Rabat X4FH+66, Morocco.
Marie NaigeonLaboratory of Immunomonitoring in Oncology, Gustave Roussy, 94805 Villejuif, France.
Ronan FlippotLaboratory of Immunomonitoring in Oncology, Gustave Roussy, 94805 Villejuif, France.
Javier Gavira-DíazMedical Oncology Department, Institut Gustave Roussy, 94805 Villejuif, France.
Jesus Poveda-FerriolsMedical Oncology Department, Centre Hospitalier Universitaire Brugmann, 1020 Brussels, Belgium.
Dan NguyenMedical Oncology Department, Centre Hospitalier Universitaire Brugmann, 1020 Brussels, Belgium.
Chaimae AbdiDepartment of Medical Oncology, National Institute of Oncology, Rabat X4FH+66, Morocco.
Alvaro Arroyo-SalgadoMedical Oncology Department, Centre Hospitalier Universitaire Brugmann, 1020 Brussels, Belgium.
Nathalie ChaputLaboratory of Immunomonitoring in Oncology, Gustave Roussy, 94805 Villejuif, France.
Guillermo de VelascoMedical Oncology Department, University Hospital 12 de Octubre, 28041 Madrid, Spain.
Laurence AlbigèsLaboratory of Immunomonitoring in Oncology, Gustave Roussy, 94805 Villejuif, France.
Lucía Carril-AjuriaMedical Oncology Department, Centre Hospitalier Universitaire Brugmann, 1020 Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICI)-based combinations have become the standard first-line treatment for advanced clear cell renal cell carcinoma (ccRCC). Despite significant improvements in survival and the achievement of sustained long-term responses, a subset of patients remains refractory to ICI, and most will eventually develop resistance. Thus, identifying predictive biomarkers for ICI efficacy and resistance is essential for optimizing therapeutic strategies. Up to now, tissue-based biomarkers have not been successful as predictive biomarkers in RCC. Circulating blood-based biomarkers offer a promising alternative. These biomarkers, including circulating immune cells, soluble factors, tumor-derived markers, and those based on metabolomics, are less invasive, offer reproducibility over time, and provide a comprehensive assessment of tumor biology and patient immune status, as well as allow dynamic monitoring during treatment. This review aims to evaluate the current evidence on the different candidate circulating biomarkers being investigated for their potential to predict ICI efficacy in RCC patients.

Indexed as

circulating biomarkersimmune-checkpoint inhibitorsliquid biopsyRenal cell carcinoma

Identifiers

PMID39465007
PMCPMC11502076

What OpenQuestion holds

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Registered trials

None linked

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.