Literature DB >> 31848930

Multiple novel hepatocellular carcinoma signature genes are commonly controlled by the master pluripotency factor OCT4.

Chao Ye1,2, Xiaoqian Zhang1, Xinyu Chen1, Qingyi Cao1, Xiaobing Zhang1, Yanwen Zhou1,3, Wenxin Li1,4, Liangjie Hong5,6, Haiyang Xie5,6, Xiaoli Liu1, Hongcui Cao1, Ying-Jie Wang7, Bo Kang8.   

Abstract

BACKGROUND: Worldwide, hepatocellular carcinoma (HCC) is a common solid tumor with a poor prognosis. HCC is often due to hepatitis B virus (HBV) infection. As yet, efficacious HCC treatment regimens for late-stage HCC patients are lacking. Therefore, the identification of more specific and sensitive biomarkers for its early diagnosis and treatment remains an urgent need.
METHODS: Total RNAs from paired HBV-derived HCC tumors and adjacent peritumor tissues (APTs) were subjected to RNA sequencing (RNA-seq), and differentially expressed genes (DEGs) between HCC tumors and APTs were selected and verified.
RESULTS: We identified 166 DEGs and found that eight top-ranked and verified DEGs (TK1, CTTN, CEP72, TRIP13, FTH1, FLAD1, CHRM2, AMBP) all contained putative OCT4 binding motifs in their promoter regions. TK1, TRIP13 and OCT4 were found to exhibit concurrent higher expression levels in HCC tumors than in APTs. The mRNA levels of TK1, TRIP13 and OCT4 in a cohort of 384 HCC samples from the TCGA database were all found to be negatively correlated with patient overall survival, relapse-free survival and progression-free survival, underscoring the HCC biomarker status of TK1 and TRIP13 on one hand, and implicating their association with OCT4 on the other hand. Furthermore, OCT4 proteins were found to bind to the promoters of both genes in vitro and in vivo. Knocking out OCT4 in HCC-derived cell lines reduced the expression of TK1 and TRIP13 and significantly decreased their tumorigenicity.
CONCLUSIONS: Using RNA-seq, we identified several novel HCC signature genes that may serve as biomarkers for its diagnosis and prognosis. Their common transcriptional regulation by OCT4 suggests key roles in the development of HCC, and indicates that OCT4 may serve as a potential therapeutic target.

Entities:  

Keywords:  Biomarker; Hepatocellular carcinoma; OCT4; RNA sequencing; Therapeutic target; Transcriptional regulation

Year:  2019        PMID: 31848930     DOI: 10.1007/s13402-019-00487-3

Source DB:  PubMed          Journal:  Cell Oncol (Dordr)        ISSN: 2211-3428            Impact factor:   6.730


  52 in total

1.  Clinical features of hepatitis B virus-related hepatocellular carcinoma.

Authors:  Toru Ishikawa
Journal:  World J Gastroenterol       Date:  2010-05-28       Impact factor: 5.742

Review 2.  OCT4: dynamic DNA binding pioneers stem cell pluripotency.

Authors:  Stepan Jerabek; Felipe Merino; Hans Robert Schöler; Vlad Cojocaru
Journal:  Biochim Biophys Acta       Date:  2013-10-18

3.  Identification of biomarkers associated with partial epithelial to mesenchymal transition in the secretome of slug over-expressing hepatocellular carcinoma cells.

Authors:  Oğuzhan Karaosmanoğlu; Sreeparna Banerjee; Hülya Sivas
Journal:  Cell Oncol (Dordr)       Date:  2018-06-01       Impact factor: 6.730

4.  HBx drives alpha fetoprotein expression to promote initiation of liver cancer stem cells through activating PI3K/AKT signal pathway.

Authors:  Mingyue Zhu; Wei Li; Yan Lu; Xu Dong; Bo Lin; Yi Chen; Xueer Zhang; Junli Guo; Mengsen Li
Journal:  Int J Cancer       Date:  2017-03-15       Impact factor: 7.396

5.  ZIC2-dependent OCT4 activation drives self-renewal of human liver cancer stem cells.

Authors:  Pingping Zhu; Yanying Wang; Lei He; Guanling Huang; Ying Du; Geng Zhang; Xinlong Yan; Pengyan Xia; Buqing Ye; Shuo Wang; Lu Hao; Jiayi Wu; Zusen Fan
Journal:  J Clin Invest       Date:  2015-08-31       Impact factor: 14.808

6.  Whole-genome DNA methylation and hydroxymethylation profiling for HBV-related hepatocellular carcinoma.

Authors:  Chao Ye; Ran Tao; Qingyi Cao; Danhua Zhu; Yini Wang; Jie Wang; Juan Lu; Ermei Chen; Lanjuan Li
Journal:  Int J Oncol       Date:  2016-05-24       Impact factor: 5.650

7.  RNA-Seq analyses generate comprehensive transcriptomic landscape and reveal complex transcript patterns in hepatocellular carcinoma.

Authors:  Qichao Huang; Biaoyang Lin; Hanqiang Liu; Xi Ma; Fan Mo; Wei Yu; Lisha Li; Hongwei Li; Tian Tian; Dong Wu; Feng Shen; Jinliang Xing; Zhi-Nan Chen
Journal:  PLoS One       Date:  2011-10-17       Impact factor: 3.240

8.  Identification of markers of prostate cancer progression using candidate gene expression.

Authors:  S E T Larkin; S Holmes; I A Cree; T Walker; V Basketter; B Bickers; S Harris; S D Garbis; P A Townsend; C Aukim-Hastie
Journal:  Br J Cancer       Date:  2011-11-10       Impact factor: 7.640

Review 9.  Accuracy of novel diagnostic biomarkers for hepatocellular carcinoma: An update for clinicians (Review).

Authors:  Patrick Reichl; Wolfgang Mikulits
Journal:  Oncol Rep       Date:  2016-06-01       Impact factor: 3.906

10.  Cortactin is a sensitive biomarker relative to the poor prognosis of human hepatocellular carcinoma.

Authors:  Gang Zhao; Zi-ming Huang; Ya-Lin Kong; Dong-Qing Wen; Yu Li; Li Ren; Hong-Yi Zhang
Journal:  World J Surg Oncol       Date:  2013-03-21       Impact factor: 2.754

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  6 in total

1.  Inducing Synergistic DNA Damage by TRIP13 and PARP1 Inhibitors Provides a Potential Treatment for Hepatocellular Carcinoma.

Authors:  Haojun Xu; Zhijie Ma; Xiao Mo; Xiaoli Chen; Fanggui Xu; Fubing Wu; Hongjin Chen; Guoren Zhou; Hongping Xia; Chengfei Zhang
Journal:  J Cancer       Date:  2022-04-11       Impact factor: 4.478

2.  Genomic Landscape of HCC.

Authors:  Adeniji Nia; Renumathy Dhanasekaran
Journal:  Curr Hepatol Rep       Date:  2020-11-10

3.  FLAD1 is up-regulated in Gastric Cancer and is a potential prediction of prognosis.

Authors:  Pan Hu; Yuhang Pan; Chenyang Wang; Wenhui Zhang; He Huang; Jiani Wang; Nana Zhang
Journal:  Int J Med Sci       Date:  2020-07-06       Impact factor: 3.738

4.  Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.

Authors:  Xiang Zhang; Songna Yin; Ke Ma
Journal:  J Int Med Res       Date:  2020-06       Impact factor: 1.671

5.  Autophagy-Related Signatures as Prognostic Indicators for Hepatocellular Carcinoma.

Authors:  Wen Ye; Zhehao Shi; Yilin Zhou; Zhongjing Zhang; Yi Zhou; Bicheng Chen; Qiyu Zhang
Journal:  Front Oncol       Date:  2022-03-24       Impact factor: 6.244

6.  Significant Diagnostic and Prognostic Value of FLAD1 and Related MicroRNAs in Breast Cancer after a Pan-Cancer Analysis.

Authors:  Mei Mei; Wenting Song; Yingjun Wang; Mingzhi Zhang
Journal:  Dis Markers       Date:  2021-07-21       Impact factor: 3.434

  6 in total

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