Development and validation of a novel mitophagy-related gene prognostic signature for glioblastoma multiforme

BMC Cancer

Yujun Luo¹  Ruijie Zeng¹  Kehang Guo¹  Hao Chen¹  Qi Yang¹  Huiling Ye²  Jinghua Wang³  Jiayu Huang⁴  Wei Huang⁵  Huihuan Wu⁶  Zewei Zhuo⁶  Xinqi Qiu⁷ 

[1] Department of Gastroenterology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences;Department of General Medicine, The First Affiliated Hospital of Guangzhou Medical University;Department of Hematology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences;Department of Otorhinolaryngology-Head and Neck Surgery, Huizhou Municipal Central People’s Hospital;Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine;School of Bioscience and Bioengineering, South China University of Technology;Zhuguang Community Healthcare Center;

关键词: Mitophagy;    Risk model;    Glioblastoma multiforme;    Prognosis;    Risk signature;   

DOI  :  10.1186/s12885-022-09707-w

来源: DOAJ

【 摘 要 】

Abstract Background Glioblastoma multiforme (GBM) is one of the most malignant tumors in brain with high morbidity and mortality. Mitophagy plays a significant role in carcinogenesis, metastasis, and invasion. In our study, we aim to construct a mitophagy-related risk model to predict prognosis in GBM. Methods RNA-seq data combined with clinical information were downloaded from TCGA. The 4-gene risk model and nomograph was then constructed and validated in external cohort. Evaluation of immune infiltration, functional enrichment and tumor microenvironment (TME) were then performed. Result A mitophagy-related risk model was established and patients in TCGA and CGGA were classified into low-risk and high-risk groups. In both cohorts, patients in low-risk group had improved survival, while high-risk group had poor prognosis. Also, the risk model was identified as an independent factor for predicting overall survival via Cox regression. Furthermore, a prognostic nomogram including mitophagy signatures was established with excellent predictive performance. In addition, the risk model was closely associated with regulation of immune infiltration as well as TME. Conclusion In conclusion, our study constructed a mitophagy-related risk model, which can be utilized for the clinical prognostic prediction in GBM.

【 授权许可】

Unknown