Mechanisms of HRAS regulation of liver hepatocellular carcinoma for prognosis prediction DOI Creative Commons

Xingbao Fang,

Yan Cai, Zixiao Zhao

и другие.

BMC Cancer, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 28, 2025

Liver hepatocellular carcinoma (LIHC) often has a poor prognosis. Since the relationship between HRas proto-oncogene, GTPase (HRAS) and LIHC not been elucidated, aim of this study was to explore mechanisms by which HRAS is involved in regulating prognosis LIHC. We usedThe Cancer Genome Atlas (TCGA) database characterize differences gene expression patients healthy individuals. In addition, we analysed relationships levels clinicopathological characteristics patients. Next, used univariate multivariate Cox regression analyses identify prognostic factors. Differentially expressed genes were identified low- high-expression groups, KEGG GO GSEA performed underlying mechanisms. The effects high low on determined according CIBERSORT. subsequently assayed at cellular level, these data validated tumour xenograft model. established as signature features. Patients categorized into groups. that associated with carbon metabolism, PPAR signalling pathway, small molecule catabolism cancer. Furthermore, conclude results from elevated immune cell infiltration. LASSO + KNN build an AI classification model shows good performance distinguishing liver cancer tissues form normal tissues. Finally, verified highly cells promotes growth. role assess can be applied predict survival, for personalized treatment strategies, provide information development potential targeted therapies new ideas patient treatment.

Язык: Английский

Astragaloside IV prevents liver fibrosis by blocking glycolysis-mediated macrophage M1 polarization DOI Creative Commons
Yigang Hu, Ming Kuang, Hao Song

и другие.

European Journal of Pharmacology, Год журнала: 2025, Номер unknown, С. 177353 - 177353

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Mechanisms of HRAS regulation of liver hepatocellular carcinoma for prognosis prediction DOI Creative Commons

Xingbao Fang,

Yan Cai, Zixiao Zhao

и другие.

BMC Cancer, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 28, 2025

Liver hepatocellular carcinoma (LIHC) often has a poor prognosis. Since the relationship between HRas proto-oncogene, GTPase (HRAS) and LIHC not been elucidated, aim of this study was to explore mechanisms by which HRAS is involved in regulating prognosis LIHC. We usedThe Cancer Genome Atlas (TCGA) database characterize differences gene expression patients healthy individuals. In addition, we analysed relationships levels clinicopathological characteristics patients. Next, used univariate multivariate Cox regression analyses identify prognostic factors. Differentially expressed genes were identified low- high-expression groups, KEGG GO GSEA performed underlying mechanisms. The effects high low on determined according CIBERSORT. subsequently assayed at cellular level, these data validated tumour xenograft model. established as signature features. Patients categorized into groups. that associated with carbon metabolism, PPAR signalling pathway, small molecule catabolism cancer. Furthermore, conclude results from elevated immune cell infiltration. LASSO + KNN build an AI classification model shows good performance distinguishing liver cancer tissues form normal tissues. Finally, verified highly cells promotes growth. role assess can be applied predict survival, for personalized treatment strategies, provide information development potential targeted therapies new ideas patient treatment.

Язык: Английский

Процитировано

0