| Autor: |
Lili Zhou, Shaohuai Xia, Yaoyao Liu, Qiang Ji, Lifeng Li, Xuan Gao, Xiaodi Guo, Xin Yi, Feng Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Lipids in Health and Disease, Vol 22, Iss 1, Pp 1-13 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1476-511X |
| DOI: |
10.1186/s12944-023-01780-9 |
| Popis: |
Abstract Background Up to 85% of hepatocellular carcinoma (HCC) cases in China can be attributed to infection of hepatitis B virus (HBV). Lipid metabolism performs important function in hepatocarcinogenesis of HBV–related liver carcinoma. However, limited studies have explored the prognostic role of lipid metabolism in HBV–related HCC. This study established a prognostic model to stratify HBV–related HCC based on lipid metabolisms. Methods Based on The Cancer Genome Atlas HBV–related HCC samples, this study selected prognosis-related lipid metabolism genes and established a prognosis risk model by performing uni- and multi-variate Cox regression methods. The final markers used to establish the model were selected through the least absolute shrinkage and selection operator method. Analysis of functional enrichment, immune landscape, and genomic alteration was utilized to investigate the inner molecular mechanism involved in prognosis. Results The risk model independently stratified HBV-infected patients with liver cancer into two risk groups. The low–risk groups harbored longer survival times (with P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
|
Nepřihlášeným uživatelům se plný text nezobrazuje |
K zobrazení výsledku je třeba se přihlásit.
|
