Literature DB >> 34156259

Upregulated expression of MTFR2 as a novel biomarker predicts poor prognosis in hepatocellular carcinoma by bioinformatics analysis.

Dan Li1,2, YanMei Ji3, JiaLong Guo1, Qiang Guo1,4.   

Abstract

Aim: The authors investigated the clinical role of MTFR2 in hepatocellular carcinoma (HCC) progression.
Results: MTFR2 expression and methylation were abnormal in HCC tissues, and HCC patients with increased MTFR2 expression or methylation had poor or better overall survival, respectively. In addition, increased MTFR2 expression was correlated with age, grade, cancer stage and T stage. MTFR2 was an independent predictor of dismal prognosis in HCC patients. MTFR2 was involved in HCC progression by modulating the cell cycle, homologous recombination, DNA replication, p53 signaling pathway, etc. The ten hub genes were overexpressed in HCC tissues and were linked to cancer stage and dismal prognosis in HCC patients.
Conclusion: MTFR2 could be a prospective biomarker of poor prognosis in individuals with HCC.

Entities:  

Keywords:  HCC; MTFR2; OS; bioinformatics analysis; prognosis

Mesh:

Substances:

Year:  2021        PMID: 34156259     DOI: 10.2217/fon-2020-1160

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  8 in total

1.  Inhibition of ITGB1-DT expression delays the growth and migration of stomach adenocarcinoma and improves the prognosis of cancer patients using the bioinformatics and cell model analysis.

Authors:  Ni Jiang; Qiang Guo; Qing Luo
Journal:  J Gastrointest Oncol       Date:  2022-04

2.  The m6A/m5C/m1A Regulated Gene Signature Predicts the Prognosis and Correlates With the Immune Status of Hepatocellular Carcinoma.

Authors:  Dan Li; Kai Li; Wei Zhang; Kong-Wu Yang; De-An Mu; Guo-Jun Jiang; Rong-Shu Shi; Di Ke
Journal:  Front Immunol       Date:  2022-06-27       Impact factor: 8.786

3.  Prognostic Value and Potential Mechanism of MTFR2 in Lung Adenocarcinoma.

Authors:  Zengzhi Lian; Pei Pang; Yan Zhu; Wenwen Du; Jintao Zhou
Journal:  Front Oncol       Date:  2022-05-05       Impact factor: 5.738

4.  PROZ May Serve as a Prognostic Biomarker for Early Hepatocellular Carcinoma.

Authors:  Xiaocong Jiang; Ting Song; Xiuhua Pan; Xinyu Zhang; Yuhong Lan; Li Bai
Journal:  Int J Gen Med       Date:  2021-08-06

5.  A Risk Model Based on Sorafenib-Response Target Genes Predicts the Prognosis of Patients with HCC.

Authors:  Xiang Liu; Jian Zeng; Huanyu Li; Feng Li; Bin Jiang; Ming Zhao; Zhuo Liu; Ruineng Li; Tiexiang Ma
Journal:  J Oncol       Date:  2022-06-28       Impact factor: 4.501

6.  The roles of risk model based on the 3-XRCC genes in lung adenocarcinoma progression.

Authors:  Qun-Xian Zhang; Ye Yang; Heng Yang; Qiang Guo; Jia-Long Guo; Hua-Song Liu; Jun Zhang; Dan Li
Journal:  Transl Cancer Res       Date:  2021-10       Impact factor: 1.241

7.  A Cell Cycle Progression-Derived Gene Signature to Predict Prognosis and Therapeutic Response in Hepatocellular Carcinoma.

Authors:  Yongfeng Hui; Junzhi Leng; Dong Jin; Di Liu; Genwang Wang; Qi Wang; Yanyang Wang
Journal:  Dis Markers       Date:  2021-10-21       Impact factor: 3.434

Review 8.  Epigenetic remodelling in human hepatocellular carcinoma.

Authors:  Maria Rita Braghini; Oriana Lo Re; Ilaria Romito; Maite G Fernandez-Barrena; Barbara Barbaro; Silvia Pomella; Rossella Rota; Manlio Vinciguerra; Matias A Avila; Anna Alisi
Journal:  J Exp Clin Cancer Res       Date:  2022-03-24
  8 in total

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