Identification of the MEX3 family as potential biomarkers of hepatocellular carcinoma based on bioinformatics and experiments
Our findings suggest that the MEX3 family is associated with the prognosis of hepatocellular carcinoma patients and contributes to disease progression by modulating the cell cycle and protein post-transcriptional modifications. Furthermore, this family is related to the tumor microenvironment, particularly in hypoxia and immune responses, which holds significant value for predicting liver cancer outcomes.
Authors
- Beili Wang (ORCID: https://orcid.org/0000-0001-5167-170X)
- Anli Jin (ORCID: https://orcid.org/0000-0003-2420-5919)
- Mi Zhou (ORCID: https://orcid.org/0000-0002-3238-1894)
- Wenqi Shao
- Jingrong Xian (ORCID: https://orcid.org/0000-0002-6643-3752)
- Yang Wen-jing
- Guo Wei (ORCID: https://orcid.org/0000-0003-1230-379X)
- Jing Zhu (ORCID: https://orcid.org/0000-0002-7735-0047)
- Baishen Pan (ORCID: https://orcid.org/0000-0002-1841-3001)
Institutions
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.21037/tcr-24-2095
- Citations
- 2
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 1.61