Identification of a novel autophagy-related prognostic signature and small molecule drugs for glioblastoma by bioinformatics
Abstract Objective To explore the autophagy-related prognostic signature (ARPs) via data mining in gene expression profiles for glioblastoma (GBM). Methods Using the Cancer Genome Atlas (TCGA) database, we obtained 156 GBM samples and 5 adjacent normal samples, and denoted them as discovery cohort....
Главные авторы: | Dongjiao Wang, Yuxue Jiang, Tie Wang, Zhe Wang, Fei Zou |
---|---|
Формат: | Статья |
Язык: | English |
Опубликовано: |
BMC
2022-05-01
|
Серии: | BMC Medical Genomics |
Предметы: | |
Online-ссылка: | https://doi.org/10.1186/s12920-022-01261-5 |
Схожие документы
-
A nomogram for individualized prediction of overall survival in patients with newly diagnosed glioblastoma: a real-world retrospective cohort study
по: Nijiati Kudulaiti, и др.
Опубликовано: (2021-05-01) -
A Novel Six-mRNA Signature Predicts Survival of Patients With Glioblastoma Multiforme
по: Zhentao Liu, и др.
Опубликовано: (2021-03-01) -
Identification of a Metabolism-Related Risk Signature Associated With Clinical Prognosis in Glioblastoma Using Integrated Bioinformatic Analysis
по: Zheng He, и др.
Опубликовано: (2020-09-01) -
Identification of an Immune-Related Prognostic Signature for Glioblastoma by Comprehensive Bioinformatics and Experimental Analyses
по: Shengda Ye, и др.
Опубликовано: (2022-09-01) -
Identification of a Four-Gene Metabolic Signature to Evaluate the Prognosis of Colon Adenocarcinoma Patients
по: Yang Zheng, и др.
Опубликовано: (2022-04-01)