Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer

Gastric cancer (GC) is one of the most common causes of cancer-related deaths worldwide and the identification of additional therapeutic targets and biomarkers has become vital. The A1-chimaerin (CHN1) gene encodes a ras-related protein that can be activated or inactivated by binding to GTP or GDP....

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Main Authors: Jie-Pin Li, Shu-Hong Zeng, Yong-Hua Zhang, Yuan-Jie Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Bioengineered
Subjects:
Online Access:http://dx.doi.org/10.1080/21655979.2021.1940621
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spelling doaj-3c63f8d3d1704451ba84b9989b40fc4c2021-07-06T12:16:11ZengTaylor & Francis GroupBioengineered2165-59792165-59872021-01-011212874288910.1080/21655979.2021.19406211940621Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancerJie-Pin Li0Shu-Hong Zeng1Yong-Hua Zhang2Yuan-Jie Liu3University of Chinese MedicineNanjing University of Chinese MedicineUniversity of Chinese MedicineNanjing University of Chinese MedicineGastric cancer (GC) is one of the most common causes of cancer-related deaths worldwide and the identification of additional therapeutic targets and biomarkers has become vital. The A1-chimaerin (CHN1) gene encodes a ras-related protein that can be activated or inactivated by binding to GTP or GDP. The present study aimed to assess the expression of CHN1 in GC tissue and cells, to explore its relationship with GC progression, and to discover the potential mechanisms underlying these associations. The ONCOMINE database and The Cancer Genome Atlas (TCGA) were used to determine the transcriptional levels of CHN1 in GC. Western blot and immunohistochemistry were used for detecting protein expression. Correlations between CHN1 levels and the clinical outcomes of GC patients were examined using Kaplan–Meier and Cox regression analyses. Moreover, the CIBERSORT algorithm was used to estimate immune cell infiltration. In GC patients, CHN1 transcription and CHN1 protein expression were upregulated, and a high expression of CHN1 was remarkably linked to poor survival in GC patients. CHN1 expression was associated with immune infiltrates and this gene showed potential involvement in multiple cancer-related pathways. Furthermore, the expression of CHN1 was correlated with the immunotherapeutic response. Finally, our results indicated that the pro-carcinogenic role of CHN1 may involve DNA methylation. To our knowledge, this is the first report characterizing CHN1 expression in GC. Our results show that high CHN1 levels could be used as a clinical biomarker for poor prognosis and that CHN1 inhibitors may have potential as anti-cancer drugs.http://dx.doi.org/10.1080/21655979.2021.1940621gastric cancerchn1biomarkerimmune cell infiltrationmethylation
collection DOAJ
language English
format Article
sources DOAJ
author Jie-Pin Li
Shu-Hong Zeng
Yong-Hua Zhang
Yuan-Jie Liu
spellingShingle Jie-Pin Li
Shu-Hong Zeng
Yong-Hua Zhang
Yuan-Jie Liu
Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
Bioengineered
gastric cancer
chn1
biomarker
immune cell infiltration
methylation
author_facet Jie-Pin Li
Shu-Hong Zeng
Yong-Hua Zhang
Yuan-Jie Liu
author_sort Jie-Pin Li
title Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
title_short Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
title_full Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
title_fullStr Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
title_full_unstemmed Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
title_sort bioinformatics-based analysis of the association between the a1-chimaerin (chn1) gene and gastric cancer
publisher Taylor & Francis Group
series Bioengineered
issn 2165-5979
2165-5987
publishDate 2021-01-01
description Gastric cancer (GC) is one of the most common causes of cancer-related deaths worldwide and the identification of additional therapeutic targets and biomarkers has become vital. The A1-chimaerin (CHN1) gene encodes a ras-related protein that can be activated or inactivated by binding to GTP or GDP. The present study aimed to assess the expression of CHN1 in GC tissue and cells, to explore its relationship with GC progression, and to discover the potential mechanisms underlying these associations. The ONCOMINE database and The Cancer Genome Atlas (TCGA) were used to determine the transcriptional levels of CHN1 in GC. Western blot and immunohistochemistry were used for detecting protein expression. Correlations between CHN1 levels and the clinical outcomes of GC patients were examined using Kaplan–Meier and Cox regression analyses. Moreover, the CIBERSORT algorithm was used to estimate immune cell infiltration. In GC patients, CHN1 transcription and CHN1 protein expression were upregulated, and a high expression of CHN1 was remarkably linked to poor survival in GC patients. CHN1 expression was associated with immune infiltrates and this gene showed potential involvement in multiple cancer-related pathways. Furthermore, the expression of CHN1 was correlated with the immunotherapeutic response. Finally, our results indicated that the pro-carcinogenic role of CHN1 may involve DNA methylation. To our knowledge, this is the first report characterizing CHN1 expression in GC. Our results show that high CHN1 levels could be used as a clinical biomarker for poor prognosis and that CHN1 inhibitors may have potential as anti-cancer drugs.
topic gastric cancer
chn1
biomarker
immune cell infiltration
methylation
url http://dx.doi.org/10.1080/21655979.2021.1940621
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AT shuhongzeng bioinformaticsbasedanalysisoftheassociationbetweenthea1chimaerinchn1geneandgastriccancer
AT yonghuazhang bioinformaticsbasedanalysisoftheassociationbetweenthea1chimaerinchn1geneandgastriccancer
AT yuanjieliu bioinformaticsbasedanalysisoftheassociationbetweenthea1chimaerinchn1geneandgastriccancer
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