FGF/FGFR genomic amplification as a predictive biomarker for immune checkpoint blockade resistance: a short report.


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
10 2023
Historique:
accepted: 24 09 2023
medline: 30 10 2023
pubmed: 28 10 2023
entrez: 27 10 2023
Statut: ppublish

Résumé

A novel crosstalk between immunogenic and oncometabolic pathways triggered by T cell-released interferon-gamma (IFN-ɣ) has been recently identified. This IFN-ɣ-pyruvate kinase M2-β-catenin axis relies on fibroblast growth factor 2 (FGF2) signaling in tumor cells and leads to hyperprogressive disease on immune checkpoint blockade (ICB) in preclinical models. This result underlines how IFN-ɣ signaling may have distinct effects on tumor cells depending on their oncogenic and metabolic features. On the basis of these data, this study aims to explore the relationship between genomic tumor FGF2 or FGF/FGF receptor (FGFR) amplification and immunotherapy response in patients with metastatic solid cancers. We used a large genomic data set of 545 ICB-treated patients and compared outcomes between those with and without FGF2 genomic amplification. Patients with no FGF2 genomic amplification had significantly longer progression-free survival (PFS) (HR=0.55 (95% CI 0.4, 0.8); p value=0.005) and overall survival (OS) (HR=0.56 (0.3, 0.9); p value=0.02) than patients harboring an FGF2 amplification. We next questioned whether such an observation may extend to genomic amplification of the FGF/FGFR pathway. Similarly, patients with no FGF/FGFR genomic amplification had longer PFS (HR=0.71 (0.8, 0.9), p value=0.004) and OS (HR=0.77 (0.6, 1); p value=0.06). RNA sequencing analysis of tumors between the amplified and non-amplified populations showed distinct expression profiles concerning oncogenic pathways. Importantly, using a cohort of patients untreated with ICB from the The Cancer Genome Atlas, we show that FGF2 and FGF/FGFR genomic amplification were not associated with prognosis, thus demonstrating that we identified a predictive biomarker of immunotherapy resistance.

Identifiants

pubmed: 37890888
pii: jitc-2023-007763
doi: 10.1136/jitc-2023-007763
pmc: PMC10618988
pii:
doi:

Substances chimiques

Receptors, Fibroblast Growth Factor 0
Immune Checkpoint Inhibitors 0
Fibroblast Growth Factor 2 103107-01-3
Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Nicolas Roussot (N)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France nroussot@cgfl.fr fghiringhelli@cgfl.fr.
Department of Medical Oncology, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France.
University of Bourgogne Franche-Comté, Dijon, France.
UMR INSERM 1231, Dijon, France.

Julie Lecuelle (J)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France.
University of Bourgogne Franche-Comté, Dijon, France.
UMR INSERM 1231, Dijon, France.

Lorraine Dalens (L)

Department of Medical Oncology, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France.

Caroline Truntzer (C)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France.
University of Bourgogne Franche-Comté, Dijon, France.
UMR INSERM 1231, Dijon, France.

Francois Ghiringhelli (F)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France nroussot@cgfl.fr fghiringhelli@cgfl.fr.
Department of Medical Oncology, Centre Georges-François Leclerc, Dijon, Bourgogne-Franche-Comté, France.
University of Bourgogne Franche-Comté, Dijon, France.
UMR INSERM 1231, Dijon, France.

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