JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE B

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Advances in post-operative prognostic models for hepatocellular carcinoma

Author(s): Ziqin HE, Xiaomin SHE, Ziyu LIU, Xing GAO, Lu LU, Julu HUANG, Cheng LU, Yan LIN, Rong LIANG, Jiazhou YE
Affiliation(s): Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, China; more
Corresponding email(s): yejiazhou@gxmu.edu.cn
Key Words: Hepatocellular carcinoma; Surgery; Prognosis; Stage; Models

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Ziqin HE, Xiaomin SHE, Ziyu LIU, Xing GAO, Lu LU, Julu HUANG, Cheng LU, Yan LIN, Rong LIANG, Jiazhou YE. Advances in post-operative prognostic models for hepatocellular carcinoma[J]. Journal of Zhejiang University Science B, 1998, -1(13): .

@article{title="Advances in post-operative prognostic models for hepatocellular carcinoma",
author="Ziqin HE, Xiaomin SHE, Ziyu LIU, Xing GAO, Lu LU, Julu HUANG, Cheng LU, Yan LIN, Rong LIANG, Jiazhou YE",
journal="Journal of Zhejiang University Science B",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2200067"
}

%0 Journal Article
%T Advances in post-operative prognostic models for hepatocellular carcinoma
%A Ziqin HE
%A Xiaomin SHE
%A Ziyu LIU
%A Xing GAO
%A Lu LU
%A Julu HUANG
%A Cheng LU
%A Yan LIN
%A Rong LIANG
%A Jiazhou YE
%J Journal of Zhejiang University SCIENCE B
%V -1
%N -1
%P
%@ 1673-1581
%D 1998
%I Zhejiang University Press & Springer

TY - JOUR
T1 - Advances in post-operative prognostic models for hepatocellular carcinoma
A1 - Ziqin HE
A1 - Xiaomin SHE
A1 - Ziyu LIU
A1 - Xing GAO
A1 - Lu LU
A1 - Julu HUANG
A1 - Cheng LU
A1 - Yan LIN
A1 - Rong LIANG
A1 - Jiazhou YE
J0 - Journal of Zhejiang University Science B
VL - -1
IS - -1
SP -
EP -
%@ 1673-1581
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -

Abstract
Chinese Summary
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Reviewer Comment

Abstract: Hepatocellular carcinoma (HCC) is one of the most common malignancies and a leading cause of cancer-related deaths worldwide. Surgery remains the primary and most successful therapy option for the treatment of early and mid-stage HCC, however, 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 TNM, CLIP, and 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.

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