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GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma
Numerous studies have implicated Gα-interacting, vesicle-associated protein (GIV) in the development and metastasis of various cancers. However, its role remains unclear in liver hepatocellular carcinoma (LIHC). We aimed to demonstrate the relationship between GIV and LIHC based on The Cancer Genome...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371552/ https://www.ncbi.nlm.nih.gov/pubmed/35960100 http://dx.doi.org/10.1097/MD.0000000000029645 |
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author | Zou, Zhenzhen Sun, Yibin Wang, Lin Ma, Sai Sun, Chunrong Zhou, Yu Yang, Guorong |
author_facet | Zou, Zhenzhen Sun, Yibin Wang, Lin Ma, Sai Sun, Chunrong Zhou, Yu Yang, Guorong |
author_sort | Zou, Zhenzhen |
collection | PubMed |
description | Numerous studies have implicated Gα-interacting, vesicle-associated protein (GIV) in the development and metastasis of various cancers. However, its role remains unclear in liver hepatocellular carcinoma (LIHC). We aimed to demonstrate the relationship between GIV and LIHC based on The Cancer Genome Atlas database. We use the Gene Expression Profiling Interactive Analysis and UALCAN to explore the expression of GIV and the survive analysis of GIV in patients with LIHC, genetic alteration analysis, immune infiltration analysis, functional enrichment, protein-protein interaction network analyses, and transcription factor targets of GIV-correlated genes and GIV-interacting genes were performed this study. GIV expression was significantly elevated in LIHC tissues. Remarkable correlation was established between GIV expression and LIHC pathological stage. Low expression of GIV in tumor tissues had a better prognosis than GIV-high expression. GIV alteration frequency was 1.44% in patients with LIHC. GIV-unaltered patients had better survival than GIV-altered ones. Moreover, GIV expression level in LIHC significantly correlated with the infiltration level of immune cells and cancer-associated fibroblasts. The functions of differentially expressed GIVs are associated with the cell cycle pathway. Our data imply that E2F4, E2F1, MYC, and MYCN are key transcription factors for GIV-correlated genes and GIV-interacted genes. GIV may be an adverse prognostic factor for patients with LIHC; it also can be a potential therapeutic target against LIHC. Further studies are required to validate our findings. |
format | Online Article Text |
id | pubmed-9371552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-93715522022-08-16 GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma Zou, Zhenzhen Sun, Yibin Wang, Lin Ma, Sai Sun, Chunrong Zhou, Yu Yang, Guorong Medicine (Baltimore) Research Article Numerous studies have implicated Gα-interacting, vesicle-associated protein (GIV) in the development and metastasis of various cancers. However, its role remains unclear in liver hepatocellular carcinoma (LIHC). We aimed to demonstrate the relationship between GIV and LIHC based on The Cancer Genome Atlas database. We use the Gene Expression Profiling Interactive Analysis and UALCAN to explore the expression of GIV and the survive analysis of GIV in patients with LIHC, genetic alteration analysis, immune infiltration analysis, functional enrichment, protein-protein interaction network analyses, and transcription factor targets of GIV-correlated genes and GIV-interacting genes were performed this study. GIV expression was significantly elevated in LIHC tissues. Remarkable correlation was established between GIV expression and LIHC pathological stage. Low expression of GIV in tumor tissues had a better prognosis than GIV-high expression. GIV alteration frequency was 1.44% in patients with LIHC. GIV-unaltered patients had better survival than GIV-altered ones. Moreover, GIV expression level in LIHC significantly correlated with the infiltration level of immune cells and cancer-associated fibroblasts. The functions of differentially expressed GIVs are associated with the cell cycle pathway. Our data imply that E2F4, E2F1, MYC, and MYCN are key transcription factors for GIV-correlated genes and GIV-interacted genes. GIV may be an adverse prognostic factor for patients with LIHC; it also can be a potential therapeutic target against LIHC. Further studies are required to validate our findings. Lippincott Williams & Wilkins 2022-08-12 /pmc/articles/PMC9371552/ /pubmed/35960100 http://dx.doi.org/10.1097/MD.0000000000029645 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zou, Zhenzhen Sun, Yibin Wang, Lin Ma, Sai Sun, Chunrong Zhou, Yu Yang, Guorong GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
title | GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
title_full | GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
title_fullStr | GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
title_full_unstemmed | GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
title_short | GIV is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
title_sort | giv is a promising novel poor prognostic factor in liver hepatocellular carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371552/ https://www.ncbi.nlm.nih.gov/pubmed/35960100 http://dx.doi.org/10.1097/MD.0000000000029645 |
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