Subcutaneous Fat Abundance and Density Are Associated with an Enhanced Response to Immunotherapy in Metastatic Melanoma: A Retrospective Cohort Study.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
09 2023
Historique:
received: 06 04 2023
revised: 07 05 2023
accepted: 08 05 2023
medline: 15 9 2023
pubmed: 19 6 2023
entrez: 18 6 2023
Statut: ppublish

Résumé

Despite the impressive efficacy of immune checkpoint inhibitors (ICIs) in the treatment of metastatic melanoma, not all patients respond to therapy. In addition, ICI harbors the risk for serious adverse events (AEs), highlighting the need for novel biomarkers predicting treatment response and occurrence of AEs. Recently, the identification of enhanced response to ICI in obese patients has indicated that body composition might influence treatment efficacy. The aim of the current study is to assess radiologic measurements of body composition as biomarkers for treatment response and AEs to ICI in melanoma. In the current work, we analyze adipose tissue abundance and density, as well as muscle mass via computed tomography scans in a retrospective cohort of 100 patients with non-resectable stage III/IV melanoma receiving first-line treatment with ICI in our department. From these, we investigate the impact of the subcutaneous adipose tissue gauge index (SATGI) and other parameters of body composition on treatment efficacy and occurrence of AEs. Low SATGI was associated with prolonged progression-free survival (PFS) in univariate and multivariate analyses (hazard ratio 2.56 [95% CI 1.18-5.55], P = .02), as well as an enhanced objective response rate (50.0% vs 27.1%; P = .02). Further analysis with a random forest survival model highlighted a nonlinear relationship between SATGI and PFS with a clear separation into high- and low-risk cohorts separated by the median. Finally, a significant enrichment of cases with vitiligo, but no other AEs, was observed in the SATGI-low cohort (11.5% vs 0%; P = .03). We identify SATGI as a biomarker predicting treatment response to ICI without increased risk for severe AEs in melanoma.

Identifiants

pubmed: 37331867
pii: S1076-6332(23)00247-7
doi: 10.1016/j.acra.2023.05.007
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

S257-S267

Informations de copyright

Copyright © 2023 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: MM reports travel support from Pierre Fabre Pharma GmbH unrelated to this work. In addition, MM also reports honoraria for presentations and advisory tasks unrelated to this work from Novartis Pharma GmbH, Sun Pharmaceutical Industries Ltd., and MSD Sharp & Dohme GmbH unrelated to this work.

Auteurs

Miriam Mengoni (M)

Department of Dermatology, University Hospital Magdeburg, Leipziger Straße 44, 39120 Magdeburg, Germany. Electronic address: miriam.mengoni@med.ovgu.de.

Andreas Dominik Braun (AD)

Department of Dermatology, University Hospital Magdeburg, Leipziger Straße 44, 39120 Magdeburg, Germany.

Mattes Simon Hinnerichs (MS)

Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.

Thomas Tüting (T)

Department of Dermatology, University Hospital Magdeburg, Leipziger Straße 44, 39120 Magdeburg, Germany.

Alexey Surov (A)

Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University, Bochum, Germany.

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Classifications MeSH