Novel risk model based on angiogenesis-related lncRNAs for prognosis prediction of hepatocellular carcinoma

被引：2

作者：

Xie, Shicheng ^{[1
]}

Zhong, Jinwei ^{[1
]}

Zhang, Zhongjing ^{[2
]}

Huang, Weiguo ^{[2
]}

Lin, Xiaoben ^{[1
]}

Pan, Yating ^{[1
]}

Kong, Xiuyan ^{[1
]}

Xia, Hongping ^{[6
,7
]}

Yu, Zhijie ^{[3
]}

Ni, Haizhen ^{[2
]}

Xia, Jinglin ^{[1
,4
,5
]}

机构：

[1] Wenzhou Med Univ, Affiliated Hosp 1, Key Lab Diag & Treatment Severe Hepatopancreat Dis, Wenzhou 325000, Peoples R China

[2] Wenzhou Med Univ, Affiliated Hosp 1, Dept Vasc Surg, Wenzhou 325000, Zhejiang, Peoples R China

[3] Wenzhou Med Univ, Affiliated Hosp 1, Wenzhou Key Lab Hematol, Wenzhou, Zhejiang, Peoples R China

[4] Wenzhou Med Univ, Affiliated Hosp 1, Dept Intervent Radiol, Wenzhou 325000, Peoples R China

[5] Fudan Univ, Zhongshan Hosp, Liver Canc Inst, Shanghai 200032, Peoples R China

[6] Southeast Univ, Zhongda Hosp, Sch Med, Nanjing 210009, Peoples R China

[7] Southeast Univ, Zhongda Hosp, Adv Inst Life & Hlth, Nanjing 210009, Peoples R China

来源：

CANCER CELL INTERNATIONAL | 2023年 / 23卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Hepatocellular carcinoma; lncRNA; Machine learning; Angiogenesis; MIR210HG;

D O I：

10.1186/s12935-023-02975-x

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Hepatocellular carcinoma (HCC) is a major cause of cancer-related death due to early metastasis or recurrence. Tumor angiogenesis plays an essential role in the tumorigenesis of HCC. Accumulated studies have validated the crucial role of lncRNAs in tumor angiogenesis. Here, we established an angiogenesis-related multi-lncRNAs risk model based on the machine learning for HCC prognosis prediction. Firstly, a total of 348 differential expression angiogenesis-related lncRNAs were identified by correlation analysis. Then, 20 of these lncRNAs were selected through univariate cox analysis and used for in-depth study of machine learning. After 1,000 random sampling cycles calculating by random forest algorithm, four lncRNAs were found to be highly associated with HCC prognosis, namely LUCAT1, AC010761.1, AC006504.7 and MIR210HG. Subsequently, the results from both the training and validation sets revealed that the four lncRNAs-based risk model was suitable for predicting HCC recurrence. Moreover, the infiltration of macrophages and CD8 T cells were shown to be closely associated with risk score and promotion of immune escape. The reliability of this model was validated by exploring the biological functions of lncRNA MIR210HG in HCC cells. The results showed that MIR210HG silence inhibited HCC growth and migration through upregulating PFKFB4 and SPAG4. Taken together, this angiogenesis-related risk model could serve as a reliable and promising tool to predict the prognosis of HCC.

引用

页数：14

共 39 条

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