Construction of an interpretable model for predicting survival outcomes in patients with middle to advanced hepatocellular carcinoma (≥5 cm) using lasso-cox regression
We have developed an interpretable predictive model for middle and late HCC with tumor diameter ≥ 5 cm using lasso-cox regression analysis. This model demonstrates excellent prediction performance and can be utilized for risk stratification.
Authors
- Mingyue Rao (ORCID: https://orcid.org/0000-0003-4448-7888)
- Bo Yang (ORCID: https://orcid.org/0000-0002-8989-9387)
- Yi Jiang (ORCID: https://orcid.org/0000-0002-7877-0561)
- Lianbin Wen
- Yunwei Han (ORCID: https://orcid.org/0000-0002-0942-9095)
- Lei Han (ORCID: https://orcid.org/0000-0001-6007-9716)
- Bo Li (ORCID: https://orcid.org/0000-0001-6572-5633)
- Han Li (ORCID: https://orcid.org/0000-0003-0846-3846)
- Jianwen Zhang (ORCID: https://orcid.org/0000-0002-4735-168X)
- Xueting Li (ORCID: https://orcid.org/0000-0002-4680-6996)
- Yanqiong Song (ORCID: https://orcid.org/0000-0002-8955-2471)
- Kun He (ORCID: https://orcid.org/0000-0002-1510-860X)
- Chenjie Wang (ORCID: https://orcid.org/0000-0001-9207-2076)
Institutions
- University of Electronic Science and Technology of China (CN)
- Southwest Medical University (CN)
- Affiliated Hospital of Southwest Medical University (CN)
- Sichuan Cancer Hospital (CN)
- Sichuan Provincial Hospital of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Jining Medical University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2024-09-19
- DOI
- https://doi.org/10.3389/fphar.2024.1452201
- Citations
- 4
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- Luzhou Science and Technology Bureau