A DNA Repair and Cell Cycle Gene Expression Signature in Pediatric High-Grade Gliomas: Prognostic and Therapeutic Value.

DNA damage repair PARP1 XRCC1 pediatric high-grade gliomas prognostic clustering

Journal

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

Informations de publication

Date de publication:
07 May 2021
Historique:
received: 01 03 2021
revised: 27 04 2021
accepted: 30 04 2021
entrez: 2 6 2021
pubmed: 3 6 2021
medline: 3 6 2021
Statut: epublish

Résumé

Pediatric high-grade gliomas (pHGGs) are the leading cause of mortality in pediatric neuro-oncology, displaying frequent resistance to standard therapies. Profiling DNA repair and cell cycle gene expression has recently been proposed as a strategy to classify adult glioblastomas. To improve our understanding of the DNA damage response pathways that operate in pHGGs and the vulnerabilities that these pathways might expose, we sought to identify and characterize a specific DNA repair and cell-cycle gene expression signature of pHGGs. Transcriptomic analyses were performed to identify a DNA repair and cell-cycle gene expression signature able to discriminate pHGGs (n = 6) from low-grade gliomas (n = 10). This signature was compared to related signatures already established. We used the pHGG signature to explore already transcriptomic datasets of DIPGs and sus-tentorial pHGGs. Finally, we examined the expression of key proteins of the pHGG signature in 21 pHGG diagnostic samples and nine paired relapses. Functional inhibition of one DNA repair factor was carried out in four patients who derived H3.3 We identified a 28-gene expression signature of DNA repair and cell cycle that clustered pHGGs cohorts, in particular sus-tentorial locations, in two groups. Differential protein expression levels of PARP1 and XRCC1 were associated to We provide evidence that PARP1 overexpression, associated to XRCC1 expression,

Sections du résumé

BACKGROUND BACKGROUND
Pediatric high-grade gliomas (pHGGs) are the leading cause of mortality in pediatric neuro-oncology, displaying frequent resistance to standard therapies. Profiling DNA repair and cell cycle gene expression has recently been proposed as a strategy to classify adult glioblastomas. To improve our understanding of the DNA damage response pathways that operate in pHGGs and the vulnerabilities that these pathways might expose, we sought to identify and characterize a specific DNA repair and cell-cycle gene expression signature of pHGGs.
METHODS METHODS
Transcriptomic analyses were performed to identify a DNA repair and cell-cycle gene expression signature able to discriminate pHGGs (n = 6) from low-grade gliomas (n = 10). This signature was compared to related signatures already established. We used the pHGG signature to explore already transcriptomic datasets of DIPGs and sus-tentorial pHGGs. Finally, we examined the expression of key proteins of the pHGG signature in 21 pHGG diagnostic samples and nine paired relapses. Functional inhibition of one DNA repair factor was carried out in four patients who derived H3.3
RESULTS RESULTS
We identified a 28-gene expression signature of DNA repair and cell cycle that clustered pHGGs cohorts, in particular sus-tentorial locations, in two groups. Differential protein expression levels of PARP1 and XRCC1 were associated to
CONCLUSION CONCLUSIONS
We provide evidence that PARP1 overexpression, associated to XRCC1 expression,

Identifiants

pubmed: 34067180
pii: cancers13092252
doi: 10.3390/cancers13092252
pmc: PMC8125831
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Enfants et Santé
ID : 2014

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Auteurs

Natacha Entz-Werlé (N)

UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France.
Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, 67098 Strasbourg, France.

Laetitia Poidevin (L)

ICube-UMR7357, CSTB, Centre de Recherche en Biomédecine de Strasbourg, 67084 Strasbourg, France.

Petr V Nazarov (PV)

Multiomics Data Science Research Group, Quantitative Biology Unit, Department of Oncology and Bioinformatics Platform, Luxembourg Institute of Health, L-1445 Luxembourg, Luxembourg.

Olivier Poch (O)

ICube-UMR7357, CSTB, Centre de Recherche en Biomédecine de Strasbourg, 67084 Strasbourg, France.

Benoit Lhermitte (B)

Pathology Department, University Hospital of Strasbourg, 67098 Strasbourg, France.

Marie Pierre Chenard (MP)

Pathology Department, University Hospital of Strasbourg, 67098 Strasbourg, France.
Centre de Ressources Biologiques, University Hospital of Strasbourg, 67098 Strasbourg, France.

Hélène Burckel (H)

Paul Strauss Comprehensive Cancer Center, Radiobioly Laboratory, ICANS (Institut de Cancérologie Strasbourg Europe), University of Strasbourg, Unicancer, 67200 Strasbourg, France.

Eric Guérin (E)

Oncobiology Platform, Laboratory of Biochemistry, University Hospital of Strasbourg, 67098 Strasbourg, France.

Quentin Fuchs (Q)

UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France.

David Castel (D)

Team Genomics & Oncogenesis of Pediatric Brain Tumors, Inserm U981, Gustave Roussy Institute, 94805 Villejuif, France.

Georges Noel (G)

Paul Strauss Comprehensive Cancer Center, Radiobioly Laboratory, ICANS (Institut de Cancérologie Strasbourg Europe), University of Strasbourg, Unicancer, 67200 Strasbourg, France.

Laurence Choulier (L)

UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France.

Monique Dontenwill (M)

UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France.

Eric Van Dyck (E)

DNA Repair and Chemoresistance, Department of Oncology, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg.

Classifications MeSH