Advances in post-operative prognostic models for hepatocellular carcinoma.
- Author:
Ziqin HE
1
;
Xiaomin SHE
1
;
Ziyu LIU
1
;
Xing GAO
1
;
L U LU
1
;
Julu HUANG
2
;
Cheng LU
2
;
Yan LIN
1
;
Rong LIANG
1
;
Jiazhou YE
3
Author Information
- Publication Type:Journal Article
- Keywords: Barcelona Clinic Liver Cancer (BCLC); Clinical stage; Hepatocellular carcinoma; Nomogram; Tumor-Node-Metastasis (TNM)
- MeSH: Humans; Carcinoma, Hepatocellular/pathology*; Liver Neoplasms/pathology*; Prognosis; Neoplasm Staging; Survival Rate; Retrospective Studies
- From: Journal of Zhejiang University. Science. B 2023;24(3):191-206
- CountryChina
- Language:English
- Abstract: Hepatocellular carcinoma (HCC) is one of the most common malignancies and a leading cause of cancer-related death worldwide. Surgery remains the primary and most successful therapy option for the treatment of early- and mid-stage HCCs, but the high heterogeneity of HCC renders prognostic prediction challenging. The construction of relevant prognostic models helps to stratify the prognosis of surgically treated patients and guide personalized clinical decision-making, thereby improving patient survival rates. Currently, the prognostic assessment of HCC is based on several commonly used staging systems, such as Tumor-Node-Metastasis (TNM), Cancer of the Liver Italian Program (CLIP), and Barcelona Clinic Liver Cancer (BCLC). Given the insufficiency of these staging systems and the aim to improve the accuracy of prognostic prediction, researchers have incorporated further prognostic factors, such as microvascular infiltration, and proposed some new prognostic models for HCC. To provide insights into the prospects of clinical oncology research, this review describes the commonly used HCC staging systems and new models proposed in recent years.
