A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment
ObjectivesInvestigate the predictive value of Vasculogenic mimicry (VM) related genes for the survival and prognosis of Hepatocellular carcinoma (HCC) patients and its role in the tumor microenvironment (TME).MethodsVM-related genes were obtained from previous literature, the expression profiles, si...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2024.1437715/full |
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| author | Jingyun Wang Rong Gao Jian Qi Yingru Xing Yingru Xing Bo Hong Bo Hong Hongzhi Wang Hongzhi Wang Hongzhi Wang Jinfu Nie Jinfu Nie Jinfu Nie |
| author_facet | Jingyun Wang Rong Gao Jian Qi Yingru Xing Yingru Xing Bo Hong Bo Hong Hongzhi Wang Hongzhi Wang Hongzhi Wang Jinfu Nie Jinfu Nie Jinfu Nie |
| author_sort | Jingyun Wang |
| collection | DOAJ |
| description | ObjectivesInvestigate the predictive value of Vasculogenic mimicry (VM) related genes for the survival and prognosis of Hepatocellular carcinoma (HCC) patients and its role in the tumor microenvironment (TME).MethodsVM-related genes were obtained from previous literature, the expression profiles, single-cell data and clinical information of HCC patients were downloaded from public databases. The HCC patients were divided into different clusters by unsupervised clustering, the differences in prognosis and immune characteristics of VM-related clusters were analyzed. A prognostic model related to VM (VM Score) was constructed based on LASSO regression and univariate and multivariate Cox regression, the correlation between this model and chemotherapy drugs and immunotherapy was studied. Seurat package was used to standardize single-cell data for single-cell level analysis. The expression of risk factors in VM Score was verified by RT-qPCR.ResultsVM Score composed of SPP1, ADAMTS5 and ZBP1 was constructed and validated. VM Score was an independent prognostic factor for HCC. Through the analysis of single cell data further reveals the VM Score influence on TME. In addition, VM Score could provide ideas for the selection of immunotherapy and chemotherapy drugs. RT-qPCR showed that the expression of risk factors was different in HCC cell lines.ConclusionOur results suggest that VM Score may serve as a promising prognostic biomarker for HCC and provide new ideas for immunotherapy in HCC patients. |
| format | Article |
| id | doaj-art-c5ef99f43cd14e329e2aa7604f8e7483 |
| institution | OA Journals |
| issn | 1664-8021 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Genetics |
| spelling | doaj-art-c5ef99f43cd14e329e2aa7604f8e74832025-08-20T01:58:08ZengFrontiers Media S.A.Frontiers in Genetics1664-80212024-12-011510.3389/fgene.2024.14377151437715A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironmentJingyun Wang0Rong Gao1Jian Qi2Yingru Xing3Yingru Xing4Bo Hong5Bo Hong6Hongzhi Wang7Hongzhi Wang8Hongzhi Wang9Jinfu Nie10Jinfu Nie11Jinfu Nie12School of Medicine, Anhui University of Science and Technology, Huainan, ChinaSchool of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, ChinaInstitute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaSchool of Medicine, Anhui University of Science and Technology, Huainan, ChinaDepartment of Clinical Laboratory, Anhui Zhongke Gengjiu Hospital, Hefei, ChinaInstitute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaHefei Cancer Hospital of CAS, Hefei, ChinaInstitute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaHefei Cancer Hospital of CAS, Hefei, ChinaSchool of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, ChinaSchool of Medicine, Anhui University of Science and Technology, Huainan, ChinaInstitute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaHefei Cancer Hospital of CAS, Hefei, ChinaObjectivesInvestigate the predictive value of Vasculogenic mimicry (VM) related genes for the survival and prognosis of Hepatocellular carcinoma (HCC) patients and its role in the tumor microenvironment (TME).MethodsVM-related genes were obtained from previous literature, the expression profiles, single-cell data and clinical information of HCC patients were downloaded from public databases. The HCC patients were divided into different clusters by unsupervised clustering, the differences in prognosis and immune characteristics of VM-related clusters were analyzed. A prognostic model related to VM (VM Score) was constructed based on LASSO regression and univariate and multivariate Cox regression, the correlation between this model and chemotherapy drugs and immunotherapy was studied. Seurat package was used to standardize single-cell data for single-cell level analysis. The expression of risk factors in VM Score was verified by RT-qPCR.ResultsVM Score composed of SPP1, ADAMTS5 and ZBP1 was constructed and validated. VM Score was an independent prognostic factor for HCC. Through the analysis of single cell data further reveals the VM Score influence on TME. In addition, VM Score could provide ideas for the selection of immunotherapy and chemotherapy drugs. RT-qPCR showed that the expression of risk factors was different in HCC cell lines.ConclusionOur results suggest that VM Score may serve as a promising prognostic biomarker for HCC and provide new ideas for immunotherapy in HCC patients.https://www.frontiersin.org/articles/10.3389/fgene.2024.1437715/fullhepatocellular carcinomavasculogenic mimicrymolecular pathologybiological informationtumor microenvironment |
| spellingShingle | Jingyun Wang Rong Gao Jian Qi Yingru Xing Yingru Xing Bo Hong Bo Hong Hongzhi Wang Hongzhi Wang Hongzhi Wang Jinfu Nie Jinfu Nie Jinfu Nie A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment Frontiers in Genetics hepatocellular carcinoma vasculogenic mimicry molecular pathology biological information tumor microenvironment |
| title | A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment |
| title_full | A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment |
| title_fullStr | A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment |
| title_full_unstemmed | A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment |
| title_short | A comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of HCC and its influence on the tumor microenvironment |
| title_sort | comprehensive analysis of vasculogenic mimicry related genes to predict the survival rate of hcc and its influence on the tumor microenvironment |
| topic | hepatocellular carcinoma vasculogenic mimicry molecular pathology biological information tumor microenvironment |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2024.1437715/full |
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