A Novel Angiogenesis-Related Prognostic Signature Associated with the Hepatocellular Carcinoma Immune Microenvironment and Survival Outcome Article Swipe
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· 2022
· Open Access
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Xin Jiang, Yushuang Xu, Di Chen, Mengmeng Wang, Mengjun Qiu, Lina Xiong, Li Zhang, Honglu Yu, Zhifan Xiong Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaCorrespondence: Zhifan XiongDepartment of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaTel +86 13517281937Email [email protected]: Hepatocellular carcinoma (HCC) is a highly vascularized solid tumor characterized by neovascularization and vascular invasion. Angiogenesis plays an essential role in the occurrence and development of liver cancer. Our study aimed to investigate the prognostic value of angiogenesis-related genes in liver cancer.Patients and Methods: The transcriptome data and corresponding clinical information of patients with liver cancer were downloaded from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. In the TCGA cohort, differential expression and prognostic analyses were used to screen angiogenesis-related candidate prognostic genes. We then used least absolute shrinkage and selection operator regression analysis to construct a prognostic signature using 10 angiogenesis-related prognostic genes. The reliability of the prognostic signature was assessed in the TCGA and ICGC cohorts. In addition, we comprehensively analyzed the correlation of the prognostic signature with the tumor microenvironment, chemotherapy drugs, and specific genes.Results: We identified 37 angiogenesis-related differentially expressed genes that were remarkably associated with prognosis. Ten of these genes were used to establish a survival and prognostic signature. This signature can distinguish between high-risk and low-risk groups and performs well in overall survival prediction, as demonstrated by internal and external validations. In addition, we observed that the high-risk group was remarkably associated with immune infiltration in the tumor microenvironment and had a different sensitivity to chemotherapeutic agents compared with the low-risk group. Moreover, the high-risk population was positively correlated with the expression of several special genes, such as immune checkpoint-related genes.Conclusion: Our results demonstrated that prognostic signatures based on angiogenesis-related genes are involved in the development of HCC and may provide new insights into accurate clinical decision-making and therapeutic evaluation of patients with HCC.Keywords: hepatocellular carcinoma, angiogenesis-related gene, signature, tumor microenvironment, immune infiltration, prognosis
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/55b96e7b9db34ab29f37ff44fc0e056a
- OA Status
- green
- Cited By
- 6
- References
- 46
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225553594Canonical identifier for this work in OpenAlex
- Title
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A Novel Angiogenesis-Related Prognostic Signature Associated with the Hepatocellular Carcinoma Immune Microenvironment and Survival OutcomeWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
-
Xin Jiang, Yushuang Xu, Di Chen, Mengmeng Wang, Meng-jun Qiu, Lina Xiong, Li Zhang, Honglu Yu, Zhifan XiongList of authors in order
- Landing page
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https://doaj.org/article/55b96e7b9db34ab29f37ff44fc0e056aPublisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://doaj.org/article/55b96e7b9db34ab29f37ff44fc0e056aDirect OA link when available
- Concepts
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Angiogenesis, Hepatocellular carcinoma, Medicine, Gene signature, Oncology, Tumor microenvironment, Transcriptome, Immune system, Cancer research, Gene, Cancer, Proportional hazards model, Internal medicine, Immunology, Gene expression, Biology, GeneticsTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2024: 4, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
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46Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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