Hypoxia Predicts Poor Prognosis in Neuroblastoma Patients and Associates with Biological Mechanisms Involved in Telomerase Activation and Tumor Microenvironment Reprogramming.

cell immortalization hypoxia neuroblastoma prognosis therapeutic target

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
19 Aug 2020
Historique:
received: 15 06 2020
revised: 09 08 2020
accepted: 17 08 2020
entrez: 23 8 2020
pubmed: 23 8 2020
medline: 23 8 2020
Statut: epublish

Résumé

The biological and clinical heterogeneity of neuroblastoma (NB) demands novel biomarkers and therapeutic targets in order to drive the most appropriate treatment for each patient. Hypoxia is a condition of low-oxygen tension occurring in poorly vascularized tumor tissues. In this study, we aimed to assess the role of hypoxia in the pathogenesis of NB and at developing a new clinically relevant hypoxia-based predictor of outcome. We analyzed the gene expression profiles of 1882 untreated NB primary tumors collected at diagnosis and belonging to four existing data sets. Analyses took advantage of machine learning methods. We identified NB-hop, a seven-gene hypoxia biomarker, as a predictor of NB patient prognosis, which is able to discriminate between two populations of patients with unfavorable or favorable outcome on a molecular basis. NB-hop retained its prognostic value in a multivariate model adjusted for established risk factors and was able to additionally stratify clinically relevant groups of patients. Tumors with an unfavorable NB-hop expression showed a significant association with telomerase activation and a hypoxic, immunosuppressive, poorly differentiated, and apoptosis-resistant tumor microenvironment. NB-hop defines a new population of NB patients with hypoxic tumors and unfavorable prognosis and it represents a critical factor for the stratification and treatment of NB patients.

Identifiants

pubmed: 32825087
pii: cancers12092343
doi: 10.3390/cancers12092343
pmc: PMC7563184
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Davide Cangelosi (D)

Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Martina Morini (M)

Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Nicolò Zanardi (N)

Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Angela Rita Sementa (AR)

Laboratory of Pathology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Marco Muselli (M)

Institute of Electronics, Computer and Telecommunication Engineering, Italian National Research Council, 16149 Genova, Italy.

Massimo Conte (M)

Pediatric Oncology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Alberto Garaventa (A)

Pediatric Oncology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Ulrich Pfeffer (U)

Integrated Oncology Therapies Department, Molecular Pathology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.

Maria Carla Bosco (MC)

Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Luigi Varesio (L)

Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Alessandra Eva (A)

Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.

Classifications MeSH