Vol 33: Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma.Reportar como inadecuado



 Vol 33: Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma.


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This article is from Journal of Experimental & Clinical Cancer Research : CR, volume 33.AbstractBackground: Glioblastoma multiforme GBM is the most malignant type of glioma. Integrated classification based on mRNA expression microarrays and whole–genome methylation subdivides GBM into five subtypes: Classical, Mesenchymal, Neural, Proneural-CpG island methylator phenotype G-CIMP and Proneural-non G-CIMP. Biomarkers that can be used to predict prognosis in each subtype have not been systematically investigated. Methods: In the present study, we used Cox regression and risk-score analysis to construct respective prognostic microRNA miRNA signatures in the five intrinsic subtypes of primary glioblastoma in The Cancer Genome Atlas TCGA dataset. Results: Patients who had high-risk scores had poor overall survival compared with patients who had low-risk scores. The prognostic miRNA signature for the Mesenchymal subtype four risky miRNAs: miR-373, miR-296, miR-191, miR-602; one protective miRNA: miR-223 was further validated in an independent cohort containing 41 samples. Conclusion: We report novel diagnostic tools for deeper prognostic sub-stratification in GBM intrinsic subtypes based upon miRNA expression profiles and believe that such signature could lead to more individualized therapies to improve survival rates and provide a potential platform for future studies on gene treatment for GBM.



Autor: Li, Rui; Gao, Kaiming; Luo, Hui; Wang, Xiefeng; Shi, Yan; Dong, Qingsheng; Luan, WenKang; You, Yongping

Fuente: https://archive.org/







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