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A 4-miRNAs signature predicts survival in glioblastoma multiforme patients.
Yuan, G Q; Wei, N L; Mu, L Y; Wang, X Q; Zhang, Y N; Zhou, W N; Pan, Y W.
Afiliação
  • Yuan GQ; Institute of Neurology, The Second Hospital, Lanzhou University, Lanzhou, Gansu 730030, China.
  • Wei NL; Department of Neurosurgery, Fudan University Huashan Hospital, Fudan University, Shanghai 20040, China.
  • Mu LY; Institute of Biochemistry and Molecular Biology, School of Life Sciences, Key Laboratory of Preclinical Study for New Drugs of Gansu Province, Lanzhou University, Lanzhou, Gansu 730000, China.
  • Wang XQ; Institute of Neurology, The Second Hospital, Lanzhou University, Lanzhou, Gansu 730030, China.
  • Zhang YN; Department of Neurosurgery, The Second Hospital, Lanzhou University, Lanzhou, Gansu 730030, China.
  • Zhou WN; Department of Neurosurgery, The Second Hospital, Lanzhou University, Lanzhou, Gansu 730030, China.
  • Pan YW; Institute of Neurology, The Second Hospital, Lanzhou University, Lanzhou, Gansu 730030, China.
Cancer Biomark ; 20(4): 443-452, 2017 Dec 06.
Article em En | MEDLINE | ID: mdl-28869437
BACKGROUND: Although O(6)-methylguanine DNA methyltransferase (MGMT) promoter methylation status is an important marker for glioblastoma multiforme (GBM), there is considerable variability in the clinical outcome of patients with similar methylation profles. OBJECTIVE: We examined whether a MicroRNA (miRNA) signature can be identified for predicting clinical outcomes and helping in treatment decisions. METHODS: The differentially expressed miRNAs were evaluated in 6 pairs of short- (⩽ 450 days) and long-term survivors (> 450 days) by using microarray. Real time quantitative PCR (qRT-PCR) was applied to further verify screened miRNAs with a greater number of samples (n= 48). Meanwhile, functional interpretation of miRNA profile was carried out based on miRNA-target databases. In addition, MGMT promoter methylation status was tested by means of pyrosequencing (PSQ) testing. RESULTS: Six miRNAs were upregulated in the long-term survival group (fold change ⩾ 2.0, P< 0.05). The further verification by qRT-PCR indicated that the increase in let-7g-5p, miR-139-5p, miR-17-5p and miR-9-3p level in long-term survivors was statistically significant. Kaplan-Meier survival analysis showed that high expression of a prognostic 4-miRNA signature was significantly associated with good patient survival (p= 0.0012). The signature regulated signaling pathways including Calcium, MAPK, ErbB, mTOR and cell cycle involved in carcinogenesis from glial progenitor cell to primary GBM. CONCLUSIONS: The 4-miRNA signature was identified as an independent prognostic biomarker that identified patients who have a favorable outcome.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Biomarcadores Tumorais / Glioblastoma / MicroRNAs Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Biomarcadores Tumorais / Glioblastoma / MicroRNAs Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article