Literature DB >> 28791617

Identification and Characterization of Cadmium-Related Genes in Liver Carcinoma.

Liang Zhang1,2, Yi Huang3, Yi Zhu4, Zhen Yu1, Mengmeng Shao1, Yunbo Luo1.   

Abstract

Evidence indicates that exposure to heavy trace element might be a risk factor for liver carcinoma. Cadmium has been supposed to be a carcinogen that has a correlation with the risk of a number of cancers, including liver cancer. However, the mechanisms underlying Cadmium-induced malignant transformation in liver cells are not fully understood. In the present study, we aimed to screen the differentially expressed genes (DEGs) that might play a role in both the Cadmium-related liver cell transformation and the development of liver cancer. Microarray-based gene expression profiles concerning liver carcinoma vs non-cancerous tissue (GSE64041) and Cadmium-treated liver cells vs controls (GSE8865 and GSE31286), respectively, were retrieved from Gene Expression Omnibus (GEO) database. Then, DEGs of each profile were calculated and screened. The intersection of each DEGs was obtained by Venn analysis. Afterwards, the possible roles of the selected genes in cancer development were evaluated by using Oncomine database and TCGA cohort analysis. Consequently, three DEGs, LRAT, SLC7A11, and ITGA2, were selected for further analysis. SLC7A11 and ITGA2, but not LRAT, were upregulated in liver cancer compared with those in normal tissues, respectively. After using a TCGA cohort analysis, results failed to show a significant correlation between SLC7A11 or ITGA2 expression and clinical parameters. However, the survival analysis showed that patients with high expression levels of SLC7A11 had a shorter overall survival time relative to those of the patients with low levels. In conclusion, SLC7A11 and ITGA2 might play a role in the Cadmium-induced liver cell damage or transformation, and the development of liver carcinoma. SLC7A11 might be a prognostic factor for patients with liver carcinoma. Future validation experiments are needed to verify the results.

Entities:  

Keywords:  Bioinformatics; Cadmium; Clinical features; Differentially expressed genes; Liver cancer; Prognosis

Mesh:

Substances:

Year:  2017        PMID: 28791617     DOI: 10.1007/s12011-017-1106-z

Source DB:  PubMed          Journal:  Biol Trace Elem Res        ISSN: 0163-4984            Impact factor:   3.738


  4 in total

1.  Cadmium Exposure in Young Adulthood Is Associated with Risk of Nonalcoholic Fatty Liver Disease in Midlife.

Authors:  Yuexia Li; Cheng Chen; Liping Lu; Wenzhi Guo; Lisa B VanWagner; James M Shikany; Shuijun Zhang; Ka Kahe
Journal:  Dig Dis Sci       Date:  2021-02-25       Impact factor: 3.199

Review 2.  Lifestyle and Hepatocellular Carcinoma What Is the Evidence and Prevention Recommendations.

Authors:  Shira Zelber-Sagi; Mazen Noureddin; Oren Shibolet
Journal:  Cancers (Basel)       Date:  2021-12-26       Impact factor: 6.639

3.  Identification of circular RNA biomarkers for Pien Tze Huang treatment of CCl4‑induced liver fibrosis using RNA‑sequencing.

Authors:  Ting Wang; Jinhang Zhu; Longhui Gao; Muyun Wei; Di Zhang; Luan Chen; Hao Wu; Jingsong Ma; Lixing Li; Na Zhang; Yanjing Wang; Qinghe Xing; Lin He; Fei Hong; Shengying Qin
Journal:  Mol Med Rep       Date:  2022-08-25       Impact factor: 3.423

4.  Molecular Mechanism of Aflatoxin-Induced Hepatocellular Carcinoma Derived from a Bioinformatics Analysis.

Authors:  Peirong Cai; Hao Zheng; Jinjin She; Nannan Feng; Hui Zou; Jianhong Gu; Yan Yuan; Xuezhong Liu; Zongping Liu; Jianchun Bian
Journal:  Toxins (Basel)       Date:  2020-03-23       Impact factor: 4.546

  4 in total

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