Prognostic value of tumor immune biomarkers in biopsies from patients with refractory solid cancers.

Cancer biomarkers RNAseq immune checkpoint immunohistochemistry tumor infiltrating lymphocytes

Journal

Cancer treatment and research communications
ISSN: 2468-2942
Titre abrégé: Cancer Treat Res Commun
Pays: England
ID NLM: 101694651

Informations de publication

Date de publication:
2022
Historique:
received: 01 06 2022
revised: 12 07 2022
accepted: 13 07 2022
pubmed: 30 7 2022
medline: 3 9 2022
entrez: 29 7 2022
Statut: ppublish

Résumé

PD-L1 and tumor-infiltrating lymphocytes play a key role in the immune escape of cancer, although their prognostic value remains unknown in patients with refractory solid cancer compared to other known prognostic estimation methods. In this ancillary study, we assessed the prognostic value of previously-defined prognostic scores (such as the Royal Marsden Hospital (RMH) score) and of PD-L1, CD3, CD8 and FOXP3 expressions based on immunohistochemistry (IHC) and RNA sequencing (RNAseq) of tumor samples from patients included in the personalized-medicine MOSCATO-02 trial. We collected biopsies with successful IHC analysis from 266 patients treated between April 2016 and September 2017, among whom 170 (63.9%) also had a matched RNAseq. We used a Random Forest model to identify the best prognostic factor, and a Lasso-penalized Cox model to validate the findings. We found that the RMH score was the strongest prognostic factor, with high scores associated with a higher risk of death (Hazard Ratio (HR)=1.29; CI95%[1.19-1.21]). The PD-L1 expression score obtained from IHC analyses was the second-best performing predictor, with the 1+ score (low expression) linked to a lower risk of death (HR=0.564; CI95%[0.539-0.580]). Other tested variables, including primary tumor type and subsequent treatments received following biopsy, were not found significantly linked to prognosis. We found modest correlation between IHC and RNAseq expressions of immune genes, but RNAseq related better to prognosis. Overall, our study supports the use of the RMH score and the assessment of PD-L1 expression in IHC to estimate prognosis in patients with advanced cancer.

Identifiants

pubmed: 35905672
pii: S2468-2942(22)00102-2
doi: 10.1016/j.ctarc.2022.100611
pii:
doi:

Substances chimiques

B7-H1 Antigen 0
Biomarkers, Tumor 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

100611

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Tiphaine Lambert (T)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France.

Cedric Pobel (C)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France.

Léo Colmet-Daage (L)

Biomarqueurs et Nouvelles stratégies thérapeutiques, UMR981, Gustave Roussy, Villejuif.

Amélie Bigorgne (A)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France; Imagine Institute, INSERM UMR 1163, F-75015, Université de Paris, Paris, France.

Brice RaubyY (B)

Centrale Supélec, Université Paris Saclay, Gif-sur-Yvette, France.

Nicolas Sanchez-Escobar Aladro (NS)

Centrale Supélec, Université Paris Saclay, Gif-sur-Yvette, France.

Lucile Ter-MinassianN (L)

Centrale Supélec, Université Paris Saclay, Gif-sur-Yvette, France.

Marie Kerisit (M)

Centrale Supélec, Université Paris Saclay, Gif-sur-Yvette, France.

Aurélien Marabelle (A)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France.

Benjamin Besse (B)

Département de Médecine Oncologique, Gustave Roussy, Université Paris-Saclay, Villejuif, France.

Antoine Hollebecque (A)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France.

Stéphane Champiat (S)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France.

Christophe Massard (C)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France.

Daphné Morel (D)

INSERM U1030, Gustave Roussy, Université Paris-Saclay, Villejuif, France.

Loic Verlingue (L)

Drug Development Department (DITEP), Gustave-Roussy, Université Paris-Saclay, Villejuif, 94805, France; INSERM U1030, Gustave Roussy, Université Paris-Saclay, Villejuif, France; Unité de Phase 1, Centre Léon Bérard, Lyon, France. Electronic address: Loic.VERLINGUE@lyon.unicancer.fr.

Jean-Yves Scoazec (JY)

Département de Biologie et Pathologie Médicales, Service de Pathologie Moléculaire, Gustave Roussy, Villejuif; AMMICa, CNRS UAR3655 INSERM US23; Université Paris Saclay.

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Classifications MeSH