Literature DB >> 33900477

Identification of hub genes associated with obesity-induced hepatocellular carcinoma risk based on integrated bioinformatics analysis.

Hamid Ceylan1.   

Abstract

Obesity, which has become one of the biggest public health problems of the twenty-first century, accompanies many chronic conditions, including cancer. On the other hand, liver cancer, which is known to be associated with obesity, is considered another serious threat to public health. However, the underlying drivers of the development of obesity-associated hepatocellular carcinoma (HCC) remain blurry. The current study attempted to identify the key genes and pathways in the obesity-induced development of HCC using integrated bioinformatics analyses. Obesity and HCC-associated gene expression datasets were downloaded from Gene Expression Omnibus (GEO) and analyzed to identify overlapping differentially expressed genes (DEGs) and hub genes. The prognostic potentials, survival analysis, and expression levels of hub genes were further assessed. Moreover, the correlation between hub genes and the immune cells infiltration was analyzed. The findings of this research revealed that both mRNA and protein expression levels of the four hub genes (IGF1, ACADL, CYP2C9, and G6PD) involved in many important metabolic pathways are remarkably altered in both obese individuals and patients with HCC. The results demonstrated that these dysregulated genes in both obesity and HCC may serve as considerable targets for the prevention and treatment of HCC development in obese individuals.

Entities:  

Keywords:  Bioinformatics analysis; Differentially expressed genes; Hepatocellular carcinoma; Hub genes; Obesity

Year:  2021        PMID: 33900477     DOI: 10.1007/s12032-021-01510-0

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  68 in total

Review 1.  The coagulopathy of chronic liver disease.

Authors:  Armando Tripodi; Pier Mannuccio Mannucci
Journal:  N Engl J Med       Date:  2011-07-14       Impact factor: 91.245

Review 2.  Non-viral causes of hepatocellular carcinoma.

Authors:  Wojciech Blonski; David S Kotlyar; Kimberly A Forde
Journal:  World J Gastroenterol       Date:  2010-08-07       Impact factor: 5.742

3.  Five-year relative survival rate of liver cancer in the USA, Europe and Japan.

Authors:  Kota Katanoda; Tomohiro Matsuda
Journal:  Jpn J Clin Oncol       Date:  2014-03       Impact factor: 3.019

Review 4.  Obesity, inflammation, and liver cancer.

Authors:  Beicheng Sun; Michael Karin
Journal:  J Hepatol       Date:  2011-11-25       Impact factor: 25.083

Review 5.  Hepatocellular carcinoma: epidemiology and molecular carcinogenesis.

Authors:  Hashem B El-Serag; K Lenhard Rudolph
Journal:  Gastroenterology       Date:  2007-06       Impact factor: 22.682

Review 6.  Obesity and liver cancer.

Authors:  Carlo Saitta; Teresa Pollicino; Giovanni Raimondo
Journal:  Ann Hepatol       Date:  2019-08-20       Impact factor: 2.400

Review 7.  Hepatocellular carcinoma: a review.

Authors:  Julius Balogh; David Victor; Emad H Asham; Sherilyn Gordon Burroughs; Maha Boktour; Ashish Saharia; Xian Li; R Mark Ghobrial; Howard P Monsour
Journal:  J Hepatocell Carcinoma       Date:  2016-10-05

Review 8.  Review of hepatocellular carcinoma: Epidemiology, etiology, and carcinogenesis.

Authors:  Yezaz Ahmed Ghouri; Idrees Mian; Julie H Rowe
Journal:  J Carcinog       Date:  2017-05-29

9.  Overweight, obesity and risk of liver cancer: a meta-analysis of cohort studies.

Authors:  S C Larsson; A Wolk
Journal:  Br J Cancer       Date:  2007-08-14       Impact factor: 7.640

10.  The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.

Authors:  Chaoyang Zhang; Li Peng; Yaqin Zhang; Zhaoyang Liu; Wenling Li; Shilian Chen; Guancheng Li
Journal:  Med Oncol       Date:  2017-04-21       Impact factor: 3.064

View more
  6 in total

1.  Integrated Bioinformatics Analysis to Identify Alternative Therapeutic Targets for Alzheimer's Disease: Insights from a Synaptic Machinery Perspective.

Authors:  Hamid Ceylan
Journal:  J Mol Neurosci       Date:  2021-08-19       Impact factor: 3.444

2.  ACADL Functions as a Tumor Suppressor in Hepatocellular Carcinoma Metastasis by Inhibiting Matrix Metalloproteinase 14.

Authors:  Danfeng Guo; Xiaodan Zhang; Honglei Cui; Dongsheng Yu; Huapeng Zhang; Xiaoyi Shi; Chun Pang; Jie Li; Wenzhi Guo; Shuijun Zhang
Journal:  Front Oncol       Date:  2022-01-31       Impact factor: 6.244

3.  A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.

Authors:  Guanzhi Liu; Sen Luo; Yutian Lei; Jianhua Wu; Zhuo Huang; Kunzheng Wang; Pei Yang; Xin Huang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

4.  Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis.

Authors:  Li-Jun Wang; Bai-Quan Qiu; Ming-Ming Yuan; Hua-Xi Zou; Cheng-Wu Gong; Huang Huang; Song-Qing Lai; Ji-Chun Liu
Journal:  Int J Gen Med       Date:  2022-04-05

5.  A bioinformatics approach for identifying potential molecular mechanisms and key genes involved in COVID-19 associated cardiac remodeling.

Authors:  Hamid Ceylan
Journal:  Gene Rep       Date:  2021-06-11

6.  MXD3 Promotes Obesity and the Androgen Receptor Signaling Pathway in Gender-Disparity Hepatocarcinogenesis.

Authors:  Yi-Wen Tsai; Kuo-Shyang Jeng; Mu-Kuang He; Yang-Wen Hsieh; Hsin-Hung Lai; Chi-Yu Lai; Chun-Chieh Huang; Chiung-Fang Chang; Chung-Tsui Huang; Guor Mour Her
Journal:  Cells       Date:  2021-12-06       Impact factor: 6.600

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.