Literature DB >> 14517843

Quantitative RT-PCR in cirrhotic nodules reveals gene expression changes associated with liver carcinogenesis.

Magali Colombat1, Valérie Paradis, Ivan Bièche, Delphine Dargère, Ingrid Laurendeau, Jacques Belghiti, Michel Vidaud, Claude Degott, Pierre Bedossa.   

Abstract

Cirrhosis is considered to be the precursor of most hepatocellular carcinomas. To gain insight into the early molecular mechanisms of liver carcinogenesis, this study compared, using real-time quantitative reverse transcriptase-polymerase chain reaction (RT-PCR), the expression levels of 31 selected genes in normal livers, cirrhotic nodules, and hepatocellular carcinomas. Since cirrhosis is composed of a mixture of polyclonal and monoclonal nodules, gene expression levels were also compared according to the clonal status of the cirrhotic nodules. The expression of eight of the 31 genes studied was significantly increased (NEGF2, ANGPT1, ARF, KRT19, SFN, CLDN4, MMP7, and ETV4) in cirrhotic nodules compared with normal liver, while only one was decreased (LYVE1). The same trend of variation was observed in cirrhosis and hepatocellular carcinomas for all of these genes except KRT19. When gene expression variation was compared according to the clonal status of cirrhotic nodules, only the LYVE1 expression level was significantly different. The LYVE1 gene expression level decreased progressively from polyclonal cirrhotic nodules to monoclonal cirrhotic nodules (polyclonal nodules 0.39 +/- 0.25; monoclonal nodules 0.20 +/- 0.14; p < 0.05) and to hepatocellular carcinoma (0.07 +/- 0.1). In conclusion, this study highlights the fact that among genes strongly dysregulated in hepatocellular carcinoma, some are already abnormally expressed in cirrhosis. The decrease in the expression level of one of these genes, LYVE1, was associated with monoclonality in cirrhotic nodules. Copyright 2003 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14517843     DOI: 10.1002/path.1451

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  8 in total

1.  Two-tiered approach identifies a network of cancer and liver disease-related genes regulated by miR-122.

Authors:  Daniel R Boutz; Patrick J Collins; Uthra Suresh; Mingzhu Lu; Cristina M Ramírez; Carlos Fernández-Hernando; Yufei Huang; Raquel de Sousa Abreu; Shu-Yun Le; Bruce A Shapiro; Angela M Liu; John M Luk; Shelley Force Aldred; Nathan D Trinklein; Edward M Marcotte; Luiz O F Penalva
Journal:  J Biol Chem       Date:  2011-03-14       Impact factor: 5.157

2.  Involvement of insulin-like growth factor-binding protein-3 in the effects of histone deacetylase inhibitor MS-275 in hepatoma cells.

Authors:  Wen Hui Lin; Janet L Martin; Deborah J Marsh; Michelle M Jack; Robert C Baxter
Journal:  J Biol Chem       Date:  2011-07-07       Impact factor: 5.157

3.  Early induction of TGF-beta1 through a fasting-re-feeding regimen promotes liver carcinogenesis by a sub-initiating dose of diethylnitrosamine.

Authors:  L Tessitore; E Bollito
Journal:  Cell Prolif       Date:  2006-04       Impact factor: 6.831

4.  Lymphatic vessel endothelial hyaluronan receptor-1 is a novel prognostic indicator for human hepatocellular carcinoma.

Authors:  Koichi Kitagawa; Go Nakajima; Hidekazu Kuramochi; Shun-Ichi Ariizumi; Masakazu Yamamoto
Journal:  Mol Clin Oncol       Date:  2013-08-06

5.  CK19 stabilizes CFTR at the cell surface by limiting its endocytic pathway degradation.

Authors:  Xia Hou; Qingtian Wu; Carthic Rajagopalan; Chunbing Zhang; Mohamad Bouhamdan; Hongguang Wei; Xuequn Chen; Khalequz Zaman; Chunying Li; Xiaonan Sun; Song Chen; Raymond A Frizzell; Fei Sun
Journal:  FASEB J       Date:  2019-08-26       Impact factor: 5.834

6.  Identification of a Five-Gene Signature and Establishment of a Prognostic Nomogram to Predict Progression-Free Interval of Papillary Thyroid Carcinoma.

Authors:  Mengwei Wu; Hongwei Yuan; Xiaobin Li; Quan Liao; Ziwen Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2019-11-15       Impact factor: 5.555

7.  Functional consequences of WNT3/Frizzled7-mediated signaling in non-transformed hepatic cells.

Authors:  S B Nambotin; Y Tomimaru; P Merle; J R Wands; M Kim
Journal:  Oncogenesis       Date:  2012-10-22       Impact factor: 7.485

8.  L-SIGN is a receptor on liver sinusoidal endothelial cells for SARS-CoV-2 virus.

Authors:  Yuji Kondo; Jason L Larabee; Liang Gao; Huiping Shi; Bojing Shao; Christopher M Hoover; J Michael McDaniel; Yen-Chun Ho; Robert Silasi-Mansat; Stephanie A Archer-Hartmann; Parastoo Azadi; R Sathish Srinivasan; Alireza R Rezaie; Alain Borczuk; Jeffrey C Laurence; Florea Lupu; Jasimuddin Ahamed; Rodger P McEver; James F Papin; Zhongxin Yu; Lijun Xia
Journal:  JCI Insight       Date:  2021-07-22
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.