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

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.

Authors

Institutions

Publication Details

Journal
EMBO Molecular Medicine
Published
2025-03-27
DOI
https://doi.org/10.1038/s44321-025-00203-9
Citations
5
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
5.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Samia Mourah, Éric Tartour, Célèste Lebbé, Aurélie Sadoux et al.
5 citations
EMBO Molecular Medicine
Cancer Immunotherapy and Biomarkers
5.23
article

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

Samia Mourah, Éric Tartour, Célèste Lebbé, Aurélie Sadoux, Matthieu Resche‐Rigon, Inès Nakouri, Lucie Biard, Jean‐François Deleuze, Laetitia Da Meda, Nadine Benhamouda, Yimin Shen, Ikuan Sam, Maxime Battistella, M. Renaud, Kristell Desseaux, Marina Alkatrib, Barouyr Baroudjan
article en
5 citations

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.

EMBO Molecular MedicineVol. 17(5)
Inserm (FR), Université Paris Cité (FR), Fondation Jean Dausset-CEPH (FR), Sorbonne Paris Cité (FR), Assistance Publique – Hôpitaux de Paris (FR), Hôpital Européen Georges-Pompidou (FR), Hôpital Européen (FR), Paris Cardiovascular Research Center (FR), Hôpital Saint-Louis (FR)
Agence Nationale de la Recherche, Institut National Du Cancer
No poverty
Openalex Percentile: Top 4%
Cancer Immunotherapy and Biomarkers
5.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.