A Gene Signature Predicting Natural Killer Cell Infiltration and Improved Survival in Melanoma Patients.

Biomarkers, Tumor / genetics Female Follow-Up Studies Gene Expression Regulation, Neoplastic High-Throughput Nucleotide Sequencing / methods Humans Killer Cells, Natural / immunology Lymphocytes, Tumor-Infiltrating / immunology Male Melanoma / genetics Prognosis Single-Cell Analysis Skin Neoplasms / genetics Survival Rate Melanoma, Cutaneous Malignant

Journal

Cancer immunology research
ISSN: 2326-6074
Titre abrégé: Cancer Immunol Res
Pays: United States
ID NLM: 101614637

Informations de publication

Date de publication:
07 2019
Historique:
received: 24 07 2018
revised: 31 01 2019
accepted: 07 05 2019
pubmed: 16 5 2019
medline: 10 9 2020
entrez: 16 5 2019
Statut: ppublish

Résumé

Natural killer (NK) cell activity is essential for initiating antitumor responses and may be linked to immunotherapy success. NK cells and other innate immune components could be exploitable for cancer treatment, which drives the need for tools and methods that identify therapeutic avenues. Here, we extend our gene-set scoring method

Identifiants

DOI: 10.1158/2326-6066.CIR-18-0500 PMID: 31088844
pubmed: 31088844
pii: 2326-6066.CIR-18-0500
doi: 10.1158/2326-6066.CIR-18-0500
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1162-1174

Informations de copyright

©2019 American Association for Cancer Research.

Auteurs

Joseph Cursons (J)

Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia.
ORCID: 0000-0002-5053-4540

Fernando Souza-Fonseca-Guimaraes (F)

Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia.
Division of Molecular Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.

Momeneh Foroutan (M)

Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Department of Clinical Pathology, The University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.
ORCID: 0000-0002-1440-0457

Ashley Anderson (A)

Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
ORCID: 0000-0002-6981-346X

Frédéric Hollande (F)

Department of Clinical Pathology, The University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.

Soroor Hediyeh-Zadeh (S)

Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
ORCID: 0000-0001-7513-6779

Andreas Behren (A)

School of Cancer Medicine, La Trobe University, Melbourne, Victoria, Australia.
Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.
ORCID: 0000-0001-5329-280X

Nicholas D Huntington (ND)

Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia. davis.m@wehi.edu.au nicholas.huntington@monash.edu.
Division of Molecular Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Biomedicine Discovery Institute and the Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia.
ORCID: 0000-0002-5267-7211

Melissa J Davis (MJ)

Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. davis.m@wehi.edu.au nicholas.huntington@monash.edu.
Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia.
Department of Biochemistry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia.

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Classifications MeSH

questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Marqueurs biologiques tumoraux › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études de suivi › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Phénomènes génétiques › Régulation de l'expression des gènes › Régulation de l'expression des gènes tumoraux › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Techniques d'investigation › Techniques génétiques › Analyse de séquence › Séquençage nucléotidique à haut débit › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Systèmes sanguin et immunitaire › Système immunitaire › Leucocytes › Agranulocytes › Lymphocytes › Cellules tueuses naturelles › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Systèmes sanguin et immunitaire › Système immunitaire › Leucocytes › Agranulocytes › Lymphocytes › Lymphocytes TIL › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Tumeurs › Tumeurs par type histologique › Naevus et mélanomes › Mélanome › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Diagnostic › Pronostic › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Techniques d'investigation › Techniques cytologiques › Analyse sur cellule unique › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Maladies de la peau et du tissu conjonctif › Maladies de la peau › Tumeurs cutanées › A Gene Signature Predicting Natural Killer...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Registre civil › Mortalité › Taux de survie › A Gene Signature Predicting Natural Killer...