Evidence map›Paper›PMID 40148586›Full record

ArticleEMBO molecular medicine2025

Soluble CD27 differentially predicts resistance to anti-PD1 alone but not with anti-CTLA-4 in melanoma.

Ikuan Sam, Nadine Benhamouda, Lucie Biard, Laetitia Da Meda, Kristell Desseaux, Barouyr Baroudjan, Ines Nakouri, Marion Renaud, Aurélie Sadoux, Marina Alkatrib and 7 more

Abstract read
In one paragraph

Article in EMBO molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

17 authors.

Ikuan Sam *Universite Paris Cite, INSERM, PARCC, Paris, France.
Nadine Benhamouda *Universite Paris Cite, INSERM, PARCC, Paris, France.
Lucie Biard *APHP, Department of Biostatistics and Medical Information, APHP, Saint-Louis Hospital, Paris, INSERM, UMR-1153, ECSTRRA Team, Paris, France.
Laetitia Da Meda *Universite Paris Cité, APHP Dermato-Oncology, Cancer Institute AP-HP, Nord Paris Cité, INSERM U976, Saint Louis Hospital Paris, Paris, France.ORCID 0000-0003-2988-6792
Kristell Desseaux *APHP, Department of Biostatistics and Medical Information, APHP, Saint-Louis Hospital, Paris, INSERM, UMR-1153, ECSTRRA Team, Paris, France.
Barouyr BaroudjanUniversite Paris Cité, APHP Dermato-Oncology, Cancer Institute AP-HP, Nord Paris Cité, INSERM U976, Saint Louis Hospital Paris, Paris, France.
Ines NakouriUniversite Paris Cité, APHP Dermato-Oncology, Cancer Institute AP-HP, Nord Paris Cité, INSERM U976, Saint Louis Hospital Paris, Paris, France.
Marion RenaudUniversite Paris Cité, APHP Dermato-Oncology, Cancer Institute AP-HP, Nord Paris Cité, INSERM U976, Saint Louis Hospital Paris, Paris, France.
Aurélie SadouxDepartment of Pharmacology and Tumor Genomics, Hôpital Saint Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Marina AlkatribUniversite Paris Cite, INSERM, PARCC, Paris, France.
Jean-François DeleuzeFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.ORCID 0000-0002-5358-4463
Maxime BattistellaDepartment of Pathology, Hôpital Saint Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Yimin ShenFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.
Matthieu Resche-RigonAPHP, Department of Biostatistics and Medical Information, APHP, Saint-Louis Hospital, Paris, INSERM, UMR-1153, ECSTRRA Team, Paris, France.
Samia MourahDepartment of Pharmacology and Tumor Genomics, Hôpital Saint Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Celeste Lebbe *Universite Paris Cité, APHP Dermato-Oncology, Cancer Institute AP-HP, Nord Paris Cité, INSERM U976, Saint Louis Hospital Paris, Paris, France. Celeste.lebbe@aphp.fr.ORCID 0000-0002-5854-7290
Eric Tartour *Universite Paris Cite, INSERM, PARCC, Paris, France. eric.tartour@aphp.fr.ORCID 0000-0002-7323-468X

Funding

Agence Nationale de la Recherche (ANR) ANR-18-IDEX-0001,France 2030Agence Nationale de la Recherche (ANR) PC SI 2021Institut National Du Cancer (INCa) PRTKRegion Ile de France DIM-ITAC
6 · The paper itself

Abstract

Metastatic melanoma can be treated with anti-PD-1 monotherapy or in combination with anti-CTLA-4 or anti-Lag3. However, combination therapy is associated with a high risk of toxicity. Recently, we reported that high plasma soluble CD27 (sCD27) levels reflect the intratumoral interaction of CD70-CD27 and dysfunctional T cells in the tumor microenvironment of renal cell carcinoma. In this study, we first characterized the intratumoral expression of CD70 and CD27 in melanoma tumors and their interaction in vivo. We then reported a significant association between baseline sCD27 and anti-PD-1 resistance as assessed by progression-free survival, overall survival, or 12-month complete response in two prospective cohorts of melanoma patients. Multivariate analysis confirmed that sCD27 was independently associated with clinical outcomes. Notably, sCD27 did not predict clinical response to combination therapy in either cohort. This differential predictive value of sCD27 for the two therapeutic options was later confirmed by propensity score analysis. Our results suggest that high plasma sCD27 levels predict poorer efficacy of anti-PD1 monotherapy in metastatic melanoma, justifying therapeutic escalation with a combination of anti-PD1 and anti-CTLA-4.

Indexed as

CTLA-4 AntigenDrug Resistance, NeoplasmImmune Checkpoint InhibitorsMelanomaProgrammed Cell Death 1 ReceptorTumor Necrosis Factor Receptor Superfamily, Member 7AgedFemaleHumansMaleMiddle AgedCTLA-4 AntigenCTLA4 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorTumor Necrosis Factor Receptor Superfamily, Member 7CD70-CD27 InteractionImmunotherapyMelanomaPredictive BiomarkerTumor Microenvironment

Identifiers

PMID40148586
PMCPMC12081602

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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.