Identification and evaluation of plasma exosome RNA biomarkers for non-invasive diagnosis of hepatocellular carcinoma using RNA-seq
We identified three key genes, CDK1, FEN1, and PCNA, as exosomal biomarkers for non-invasive diagnosis of HCC. The MLP model utilizing three biomarkers showed good differentiation between non-HCC individuals and HCC patients, which exhibits promising potential as a non-invasive diagnostic tool for detecting HCC. Additional validation with a larger sample size is essential to thoroughly assess the reliability of the biomarkers and the model's performance.
Authors
- Zutao Chen (ORCID: https://orcid.org/0009-0001-2088-5251)
- Jinghan Zhu (ORCID: https://orcid.org/0000-0002-6310-1672)
- Weijie Sun (ORCID: https://orcid.org/0000-0003-0112-0461)
- Min Zhang (ORCID: https://orcid.org/0000-0002-4592-6793)
- Yi‐Ling Chen (ORCID: https://orcid.org/0000-0002-9789-2441)
- Heqing Huang
- Hong Lu
Institutions
- Soochow University (CN)
- Second Affiliated Hospital of Soochow University (CN)
- First Affiliated Hospital of Soochow University (CN)
- The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12885-024-13332-0
- Citations
- 11
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 4.61
Funders
- Suzhou Municipal Science and Technology Bureau