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Screening of autophagy genes as prognostic indicators for glioma patients.

Shanqiang Qu, Shuhao Liu, Weiwen Qiu, Jin Liu, Huafu Wang

2020PubMed22 citationsOpen Access PDF

Abstract

= 0.0001). In addition, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed several common biological processes and signaling pathways related to the 10 hub genes in glioblastoma. A prediction model was developed for glioma patients, which demonstrated high prediction efficiency on calibration. Moreover, the area under the receiver operating characteristic curve values for 1-, 3- and 5-year survival probabilities were 0.790, 0.861, and 0.853, respectively. In conclusion, we identified 10 autophagy-related genes that can serve as novel prognostic biomarkers for glioma patients. Our prediction model accurately predicted patient outcomes, and thus, may be a valuable tool in clinical practice.

Topics & Concepts

GliomaAutophagyProportional hazards modelHazard ratioGeneCarcinogenesisOncologyKEGGMedicineUnivariateInternal medicineSurvival analysisConfidence intervalCancerBiologyBioinformaticsCancer researchMultivariate statisticsGeneticsGene expressionTranscriptomeStatisticsApoptosisMathematicsCancer-related molecular mechanisms researchFerroptosis and cancer prognosisRNA modifications and cancer
Screening of autophagy genes as prognostic indicators for glioma patients. | Litcius