Literature DB >> 21936021

dbHCCvar: a comprehensive database of human genetic variations in hepatocellular carcinoma.

Xiao-Jia Yu1, Fang Fang, Chun-Lei Tang, Lei Yao, Lu Yu, Long Yu.   

Abstract

Hepatocellular carcinoma (HCC) is a common cancer with a high mortality rate. The complete pathogenesis of HCC is not completely understood, and highly efficient therapy is still unavailable. In the past several decades, various genetic variations such as mutations and polymorphisms have been reported to be associated with HCC risk, progression, survival, and recurrence. However, to our knowledge, these genetic variations have not been comprehensively and systematically compiled. In this study we constructed dbHCCvar, a free online database of human genetic variations in HCC. Eligible publications were collected from PubMed, and detailed information and major research data from each eligible study were then extracted and recorded in our database. As a result, dbHCCvar contains almost all human genetic variations reported to be associated or not associated with HCC risk, clinical pathology, drug reaction, survival, or recurrence to date. It is expected that dbHCCvar will function as a useful tool for researchers to facilitate the search and identification of new genetic markers for HCC. dbHCCvar is free for all visitors at http://GenetMed.fudan.edu.cn/dbHCCvar.
© 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21936021     DOI: 10.1002/humu.21595

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  6 in total

1.  Molecular Epidemiology of Hepatocellular Carcinoma.

Authors:  Yujin Hoshida
Journal:  Clin Liver Dis (Hoboken)       Date:  2012-12-01

Review 2.  Target genes discovery through copy number alteration analysis in human hepatocellular carcinoma.

Authors:  De-Leung Gu; Yen-Hsieh Chen; Jou-Ho Shih; Chi-Hung Lin; Yuh-Shan Jou; Chian-Feng Chen
Journal:  World J Gastroenterol       Date:  2013-12-21       Impact factor: 5.742

3.  A systems biology-based investigation into the therapeutic effects of Gansui Banxia Tang on reversing the imbalanced network of hepatocellular carcinoma.

Authors:  Yanqiong Zhang; Xiaodong Guo; Danhua Wang; Ruisheng Li; Xiaojuan Li; Ying Xu; Zhenli Liu; Zhiqian Song; Ya Lin; Zhiyan Li; Na Lin
Journal:  Sci Rep       Date:  2014-02-24       Impact factor: 4.379

4.  Identification of GRB2 and GAB1 coexpression as an unfavorable prognostic factor for hepatocellular carcinoma by a combination of expression profile and network analysis.

Authors:  Yanqiong Zhang; Zhiwei Li; Mei Yang; Danhua Wang; Lingxiang Yu; Chaonan Guo; Xiaodong Guo; Na Lin
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

Review 5.  Pathway and network approaches for identification of cancer signature markers from omics data.

Authors:  Jinlian Wang; Yiming Zuo; Yan-Gao Man; Itzhak Avital; Alexander Stojadinovic; Meng Liu; Xiaowei Yang; Rency S Varghese; Mahlet G Tadesse; Habtom W Ressom
Journal:  J Cancer       Date:  2015-01-01       Impact factor: 4.207

Review 6.  Molecular pathological epidemiology in diabetes mellitus and risk of hepatocellular carcinoma.

Authors:  Chun Gao
Journal:  World J Hepatol       Date:  2016-09-28
  6 in total

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