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Identification of prognostic biomarkers for cholangiocarcinoma by combined analysis of molecular characteristics of clinical MVI subtypes and molecular subtypes.
- Source :
-
Genomics [Genomics] 2024 Sep; Vol. 116 (5), pp. 110889. Date of Electronic Publication: 2024 Jun 18. - Publication Year :
- 2024
-
Abstract
- Cholangiocarcinoma (CCA) is widely noted for its high degree of malignancy, rapid progression, and limited therapeutic options. This study was carried out on transcriptome data of 417 CCA samples from different anatomical locations. The effects of lipid metabolism related genes and immune related genes as CCA classifiers were compared. Key genes were derived from MVI subtypes and better molecular subtypes. Pathways such as epithelial mesenchymal transition (EMT) and cell cycle were significantly activated in MVI-positive group. CCA patients were classified into three (four) subtypes based on lipid metabolism (immune) related genes, with better prognosis observed in lipid metabolism-C1, immune-C2, and immune-C4. IPTW analysis found that the prognosis of lipid metabolism-C1 was significantly better than that of lipid metabolism-C2 + C3 before and after correction. KRT16 was finally selected as the key gene. And knockdown of KRT16 inhibited proliferation, migration and invasion of CCA cells.<br />Competing Interests: Declaration of competing interest The authors declare that they have no competing interests.<br /> (Copyright © 2023. Published by Elsevier Inc.)
- Subjects :
- Humans
Cell Line, Tumor
Prognosis
Male
Lipid Metabolism
Cell Movement
Female
Cell Proliferation
Transcriptome
Middle Aged
Gene Expression Regulation, Neoplastic
Cholangiocarcinoma genetics
Cholangiocarcinoma metabolism
Cholangiocarcinoma pathology
Bile Duct Neoplasms genetics
Bile Duct Neoplasms metabolism
Bile Duct Neoplasms pathology
Biomarkers, Tumor genetics
Biomarkers, Tumor metabolism
Epithelial-Mesenchymal Transition
Subjects
Details
- Language :
- English
- ISSN :
- 1089-8646
- Volume :
- 116
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 38901654
- Full Text :
- https://doi.org/10.1016/j.ygeno.2024.110889