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A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma

Hypoxia environment exists in already started hepatocellular carcinoma (HCC) and promotes its progression by driving changes in the gene expression profiles of cells. However, the status of hypoxia-driven genes in HCC is largely unknown. In the present study, 368 HCC tissues from The Cancer Genome A...

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Autores principales: Zeng, Zhirui, Lei, Shan, Wang, Jingya, Yang, Yushi, Lan, Jinzhi, Tian, Qianting, Chen, Tengxiang, Hao, Xiaojiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276011/
https://www.ncbi.nlm.nih.gov/pubmed/35549979
http://dx.doi.org/10.1080/21655979.2022.2073943
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author Zeng, Zhirui
Lei, Shan
Wang, Jingya
Yang, Yushi
Lan, Jinzhi
Tian, Qianting
Chen, Tengxiang
Hao, Xiaojiang
author_facet Zeng, Zhirui
Lei, Shan
Wang, Jingya
Yang, Yushi
Lan, Jinzhi
Tian, Qianting
Chen, Tengxiang
Hao, Xiaojiang
author_sort Zeng, Zhirui
collection PubMed
description Hypoxia environment exists in already started hepatocellular carcinoma (HCC) and promotes its progression by driving changes in the gene expression profiles of cells. However, the status of hypoxia-driven genes in HCC is largely unknown. In the present study, 368 HCC tissues from The Cancer Genome Atlas were divided into high and low hypoxia groups according to their hypoxia signatures. A total of 1,142 differentially expressed genes (DEGs) were identified between the two groups, and 34 of these DEGs were highly expressed in HCC tissues compared with adjacent tissues, especially in HCC tissues from patients with stage III–IV HCC. After constructing a protein–protein interaction network and applying the least absolute shrinkage and selection operator Cox regression method for 34 DEGs, a three-gene signature (complement factor H related 3 [CFHR3], egl-9 family hypoxia inducible factor 3 [EGLN3], and chromogranin A [CHGA]) was constructed and had prognostic value to predicted outcome of patients with HCC. This three-gene signature was suitable for classifying patients with HCC in the International Cancer Genome Consortium. CFHR3 shows remarkable diagnostic value in HCC. Hypoxia decreased CFHR3 expression, but increased HCC cell proliferation and motility. Overexpression of CFHR3 in HCC cells under hypoxia reversed the stimulatory effects of hypoxia and suppressed cell proliferation and metastasis in vivo. In conclusion, we identified a novel hypoxia-driven gene signature (CFHR3, EGLN3, and CHGA) for reliable prognostic prediction of HCC, and demonstrated that overexpression of CFHR3 may be a potential strategy to overcome hypoxia and treat HCC.
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spelling pubmed-92760112022-07-13 A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma Zeng, Zhirui Lei, Shan Wang, Jingya Yang, Yushi Lan, Jinzhi Tian, Qianting Chen, Tengxiang Hao, Xiaojiang Bioengineered Research Paper Hypoxia environment exists in already started hepatocellular carcinoma (HCC) and promotes its progression by driving changes in the gene expression profiles of cells. However, the status of hypoxia-driven genes in HCC is largely unknown. In the present study, 368 HCC tissues from The Cancer Genome Atlas were divided into high and low hypoxia groups according to their hypoxia signatures. A total of 1,142 differentially expressed genes (DEGs) were identified between the two groups, and 34 of these DEGs were highly expressed in HCC tissues compared with adjacent tissues, especially in HCC tissues from patients with stage III–IV HCC. After constructing a protein–protein interaction network and applying the least absolute shrinkage and selection operator Cox regression method for 34 DEGs, a three-gene signature (complement factor H related 3 [CFHR3], egl-9 family hypoxia inducible factor 3 [EGLN3], and chromogranin A [CHGA]) was constructed and had prognostic value to predicted outcome of patients with HCC. This three-gene signature was suitable for classifying patients with HCC in the International Cancer Genome Consortium. CFHR3 shows remarkable diagnostic value in HCC. Hypoxia decreased CFHR3 expression, but increased HCC cell proliferation and motility. Overexpression of CFHR3 in HCC cells under hypoxia reversed the stimulatory effects of hypoxia and suppressed cell proliferation and metastasis in vivo. In conclusion, we identified a novel hypoxia-driven gene signature (CFHR3, EGLN3, and CHGA) for reliable prognostic prediction of HCC, and demonstrated that overexpression of CFHR3 may be a potential strategy to overcome hypoxia and treat HCC. Taylor & Francis 2022-05-13 /pmc/articles/PMC9276011/ /pubmed/35549979 http://dx.doi.org/10.1080/21655979.2022.2073943 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (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 Paper
Zeng, Zhirui
Lei, Shan
Wang, Jingya
Yang, Yushi
Lan, Jinzhi
Tian, Qianting
Chen, Tengxiang
Hao, Xiaojiang
A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
title A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
title_full A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
title_fullStr A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
title_full_unstemmed A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
title_short A novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
title_sort novel hypoxia-driven gene signature that can predict the prognosis of hepatocellular carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276011/
https://www.ncbi.nlm.nih.gov/pubmed/35549979
http://dx.doi.org/10.1080/21655979.2022.2073943
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