A Th1/IFNγ Gene Signature Is Prognostic in the Adjuvant Setting of Resectable High-Risk Melanoma but Not in Non-Small Cell Lung Cancer.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 14 11 2018
revised: 04 04 2019
accepted: 07 11 2019
pubmed: 17 11 2019
medline: 23 1 2021
entrez: 17 11 2019
Statut: ppublish

Résumé

Immune components of the tumor microenvironment (TME) have been associated with disease outcome. We prospectively evaluated the association of an immune-related gene signature (GS) with clinical outcome in melanoma and non-small cell lung cancer (NSCLC) tumor samples from two phase III studies. The GS was prospectively validated using an adaptive signature design to optimize it for the sample type and technology used in phase III studies. One-third of the samples were used as "training set"; the remaining two thirds, constituting the "test set," were used for the prospective validation of the GS. In the melanoma training set, the expression level of eight Th1/IFNγ-related genes in tumor-positive lymph node tissue predicted the duration of disease-free survival (DFS) and overall survival (OS) in the placebo arm. This GS was prospectively and independently validated as prognostic in the test set. Building a multivariate Cox model in the test set placebo patients from clinical covariates and the GS score, an increased number of melanoma-involved lymph nodes and the GS were associated with DFS and OS. This GS was not associated with DFS in NSCLC, although expression of the Th1/IFNγ-related genes was associated with the presence of lymphocytes in tumor samples in both indications. These findings provide evidence that expression of

Identifiants

pubmed: 31732522
pii: 1078-0432.CCR-18-3717
doi: 10.1158/1078-0432.CCR-18-3717
doi:

Substances chimiques

Biomarkers, Tumor 0
IFNG protein, human 0
Interferon-gamma 82115-62-6

Types de publication

Clinical Trial, Phase III Journal Article Multicenter Study Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1725-1735

Informations de copyright

©2019 American Association for Cancer Research.

Auteurs

Benjamin Dizier (B)

GSK, Rixensart, Belgium.

Andrea Callegaro (A)

GSK, Rixensart, Belgium.

Muriel Debois (M)

GSK, Rixensart, Belgium.

Brigitte Dreno (B)

Department of Dermato-oncology, Hotel Dieu Nantes University Hospital, Nantes, France.

Peter Hersey (P)

Melanoma Immunology and Oncology Group, Centenary Institute, University of Sydney, New South Wales, Australia.

Helen J Gogas (HJ)

Department of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

John M Kirkwood (JM)

Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Johan F Vansteenkiste (JF)

Department of Respiratory Diseases, University Hospitals KU Leuven, Leuven, Belgium.

Lecia V Sequist (LV)

Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

Djordje Atanackovic (D)

Oncology/Hematology/Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Jelle Goeman (J)

Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands.

Hans van Houwelingen (H)

Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands.

Susana Salceda (S)

Thermo Fisher Scientific, Pleasanton, California.

Fawn Wang (F)

Thermo Fisher Scientific, Pleasanton, California.

Patrick Therasse (P)

GSK, Rixensart, Belgium.

Channa Debruyne (C)

GSK, Rixensart, Belgium.

Bart Spiessens (B)

GSK, Rixensart, Belgium.

Vincent G Brichard (VG)

GSK, Rixensart, Belgium.

Jamila Louahed (J)

GSK, Rixensart, Belgium.

Fernando Ulloa-Montoya (F)

GSK, Rixensart, Belgium. fernando.x.ulloa-montoya@gsk.com.

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Classifications MeSH