| ISSN |
2218-4333 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Oncology |
| Manuscript Type |
Clinical and Translational Research |
| Article Title |
Establishment of a prognosis predictive model for liver cancer based on expression of genes involved in the ubiquitin-proteasome pathway
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Hua Li, Yi-Po Ma, Hai-Long Wang, Cai-Juan Tian, Yi-Xian Guo, Hong-Bo Zhang, Xiao-Min Liu and Peng-Fei Liu |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Tianjin Municipal Natural Science Foundation |
No. 20JCYBJC01070 |
|
| Corresponding Author |
Peng-Fei Liu, MD, Chief Doctor, Doctor, Surgical Oncologist, Department of Oncology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, No. 354 North Road, Hongqiao District, Tianjin 300120, China. liupengfeitj@163.com |
| Key Words |
Liver cancer; Ubiquitin-proteasome pathway; Prognosis prediction; Gene expression; Immune infiltration |
| Core Tip |
This study unveils the crucial role of the ubiquitin-proteasome pathway (UPP) in liver cancer prognosis. Five key genes (autophagy related 10, proteasome 20S subunit alpha 8, proteasome 20S subunit beta 2, ubiquitin specific peptidase 17 like family member 2, and ubiquitin specific peptidase 8) identified from The Cancer Genome Atlas datasets constitute a robust prognostic model, accurately predicting liver cancer outcomes. Immunocyte infiltration analysis highlights associations of these genes with immune cell abundance, while clinical correlations link them to tumor stage and recurrence. Differential gene expression and pathway enrichment elucidate underlying biological processes. E3 analysis identifies specific ligases (cell division cycle 20, Kelch repeat and BTB domain containing 11, and DCAF4L2) with significant expression differences, further emphasizing the integral role of the UPP in liver cancer development and providing valuable insights for precision medicine and prognosis prediction. |
| Publish Date |
2024-03-22 11:48 |
| Citation |
Li H, Ma YP, Wang HL, Tian CJ, Guo YX, Zhang HB, Liu XM, Liu PF. Establishment of a prognosis predictive model for liver cancer based on expression of genes involved in the ubiquitin-proteasome pathway. World J Clin Oncol 2024; 15(3): 434-446 |
| URL |
https://www.wjgnet.com/2218-4333/full/v15/i3/434.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v15.i3.434 |
