Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model

Xin-Yu Ge; Ming-Chen Sun; Tian-Yi Wang; Xi-Min Wang; Gang Liu; Tao Yang; Yi-Ming Lu; Wei Wang

doi:10.3389/fonc.2023.1067353

Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model

Front Oncol. 2023 Mar 22:13:1067353. doi: 10.3389/fonc.2023.1067353. eCollection 2023.

Authors

Xin-Yu Ge¹, Ming-Chen Sun¹, Tian-Yi Wang¹, Xi-Min Wang², Gang Liu², Tao Yang¹, Yi-Ming Lu², Wei Wang¹

Affiliations

¹ First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
² Jinzhou Medical University, Jinzhou, Liaoning, China.

Abstract

Liver cancer is a common malignancy of the digestive system. Hepatocellular carcinoma (HCC) accounts for the most majority of these tumors and it has brought a heavy medical burden to underdeveloped countries and regions. Many factors affect the prognosis of HCC patients, however, there is no specific statistical model to predict the survival time of clinical patients. This study derived a risk factor signature of HCC and reliable clinical prediction model by statistically analyzing The Surveillance, Epidemiology, and End Results (SEER) database patient information using an open source package in the python environment.

Keywords: HCC (hepatic cellular carcinoma); SEER (Surveillance Epidemiology and End Results) database; machine learning - ML; random survival forest model; risk factors.