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Study on the prediction model of liver cancer based on chronic liver disease and the related molecular mechanism.
Zhang, Xiaojing; Chen, Xinye.
Afiliação
  • Zhang X; Shanghai Licheng Bio-Technique Co. Ltd., Baoshan, Shanghai 201900, P.R. China.
  • Chen X; Shanghai Licheng Bio-Technique Co. Ltd., Baoshan, Shanghai 201900, P.R. China. Electronic address: xinyechen00@163.com.
Ann Hepatol ; : 101572, 2024 Sep 13.
Article em En | MEDLINE | ID: mdl-39278407
ABSTRACT
INTRODUCTION AND

OBJECTIVE:

Due to the high heterogeneity of HCC, which leads to poor prognostic outcomes for patients, there is a need to develop a novel predictive model for accurate classification of HCC in order to improve patient survival rates. MATERIALS AND

METHODS:

The data of the HCV, cirrhosis, and HCC were obtained from TCGA and GEO databases. Multivariable Cox regression analysis and survival analysis was conducted to assess the prognostic relevance of these differentially expressed genes. Single-cell sequencing was used to explore the intercellular interaction patterns and identify relevant signaling pathways. Drug sensitivity analysis was conducted to determine personalized treatment strategies for patients.

RESULTS:

In this study, we conducted integrated analysis of hepatitis, cirrhosis, and hepatocellular carcinoma datasets and identified 10 liver disease progression genes associated with prognosis. These genes exhibited significant downregulation in expression as the disease advanced, suggesting their crucial involvement in HCC development. By performing multivariable Cox analysis, we established a prognostic model for liver disease progression to predict the prognosis of HCC patients. The model was validated using ROC analysis, demonstrating good accuracy and stability in prognostic evaluation. Single-cell sequencing analysis revealed that these genes primarily exert their effects through the MIF signaling pathway during HCC progression. Furthermore, we observed that patients in the low-risk group exhibited higher sensitivity to TACE treatment, while patients in the high-risk group showed better response to sorafenib treatment.

CONCLUSIONS:

In summary, we have elucidated the key genes involved in the progression of liver diseases and established a precise prognostic model for assessing the prognosis of HCC patients. Our study provides novel insights and strategies for the treatment of HCC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ann Hepatol Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: México

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ann Hepatol Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: México