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Role of autophagy-related genes in liver cancer prognosis.
- Source :
-
Genomics [Genomics] 2024 May; Vol. 116 (3), pp. 110852. Date of Electronic Publication: 2024 May 03. - Publication Year :
- 2024
-
Abstract
- Autophagy, a highly conserved process of protein and organelle degradation, has emerged as a critical regulator in various diseases, including cancer progression. In the context of liver cancer, the predictive value of autophagy-related genes remains ambiguous. Leveraging chip datasets from the TCGA and GTEx databases, we identified 23 differentially expressed autophagy-related genes in liver cancer. Notably, five key autophagy genes, PRKAA2, BIRC5, MAPT, IGF1, and SPNS1, were highlighted as potential prognostic markers, with MAPT showing significant overexpression in clinical samples. In vitro cellular assays further demonstrated that MAPT promotes liver cancer cell proliferation, migration, and invasion by inhibiting autophagy and suppressing apoptosis. Subsequent in vivo studies further corroborated the pro-tumorigenic role of MAPT by suppressing autophagy. Collectively, our model based on the five key genes provides a promising tool for predicting liver cancer prognosis, with MAPT emerging as a pivotal factor in tumor progression through autophagy modulation.<br />Competing Interests: Declaration of competing interest The authors declare no conflict of interest.<br /> (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Prognosis
Cell Line, Tumor
Survivin genetics
Survivin metabolism
Cell Proliferation
Animals
Insulin-Like Growth Factor I genetics
Insulin-Like Growth Factor I metabolism
Biomarkers, Tumor genetics
Cell Movement
Mice
Apoptosis
Gene Expression Regulation, Neoplastic
Carcinoma, Hepatocellular genetics
Carcinoma, Hepatocellular pathology
Carcinoma, Hepatocellular metabolism
Liver Neoplasms genetics
Liver Neoplasms pathology
Liver Neoplasms metabolism
Autophagy genetics
tau Proteins genetics
tau Proteins metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1089-8646
- Volume :
- 116
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 38703969
- Full Text :
- https://doi.org/10.1016/j.ygeno.2024.110852