RNA sequencing and Immunohistochemistry Reveal
Aged
Biomarkers, Tumor
/ genetics
Brain Neoplasms
/ genetics
CpG Islands
/ genetics
DNA Methylation
Female
Gene Expression Profiling
/ methods
Gene Expression Regulation, Neoplastic
Glioblastoma
/ genetics
Humans
Immunohistochemistry
/ methods
Kruppel-Like Transcription Factors
/ genetics
Male
Middle Aged
Multivariate Analysis
Prognosis
Sequence Analysis, RNA
/ methods
Survival Analysis
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:
15 01 2021
15 01 2021
Historique:
received:
16
06
2020
revised:
21
09
2020
accepted:
21
10
2020
pubmed:
28
10
2020
medline:
11
1
2022
entrez:
27
10
2020
Statut:
ppublish
Résumé
Glioblastoma is the most aggressive brain tumor in adults and has few therapeutic options. The study of molecular subtype classifications may lead to improved prognostic classification and identification of new therapeutic targets. The Cancer Genome Atlas (TCGA) subtype classification has mainly been applied in U.S. clinical trials, while the intrinsic glioma subtype (IGS) has mainly been applied in European trials. From paraffin-embedded tumor samples of 432 patients with uniformly treated, newly diagnosed glioblastoma, we built tissue microarrays for IHC analysis and applied RNA sequencing to the best samples to classify them according to TCGA and IGS subtypes. We obtained transcriptomic results from 124 patients. There was a lack of agreement among the three TCGA classificatory algorithms employed, which was not solely attributable to intratumoral heterogeneity. There was overlapping of TCGA mesenchymal subtype with IGS cluster 23 and of TCGA classical subtype with IGS cluster 18. Molecular subtypes were not associated with prognosis, but levels of expression of 13 novel genes were identified as independent prognostic markers in glioma-CpG island methylator phenotype-negative patients, independently of clinical factors and TCGA and IGS molecular classifications of glioblastoma have no higher prognostic value than individual genes and should be refined before being applied to clinical trials.
Identifiants
pubmed: 33106291
pii: 1078-0432.CCR-20-2141
doi: 10.1158/1078-0432.CCR-20-2141
doi:
Substances chimiques
Biomarkers, Tumor
0
Kruppel-Like Transcription Factors
0
ZNF7 protein, human
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
645-655Informations de copyright
©2020 American Association for Cancer Research.
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