期刊文献+

Challenges of incorporating gene expression data to predict HCC prognosis in the age of systems biology 被引量:6

Challenges of incorporating gene expression data to predict HCC prognosis in the age of systems biology
下载PDF
导出
摘要 Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide.The recurrence of HCC after curative treatments is currently a major hurdle.Identification of subsets of patients with distinct prognosis provides an opportunity to tailor therapeutic approaches as well as to select the patients with specific sub-phenotypes for targeted therapy.Thus,the development of gene expression profiles to improve the prediction of HCC prognosis is important for HCC management.Although several gene signatures have been evaluated for the prediction of HCC prognosis,there is no consensus on the predictive power of these signatures.Using systematic approaches to evaluate these signatures and combine them with clinicopathologic information may provide more accurate prediction of HCC prognosis.Recently,Villanueva et al developed a composite prognostic model incorporating gene expression patterns in both tumor and adjacent tissues to predict HCC recurrence.In this commentary,we summarize the current progress in using gene signatures to predict HCC prognosis,and discuss the importance,existing issues and future research directions in this field. Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide.The recurrence of HCC after curative treatments is currently a major hurdle.Identification of subsets of patients with distinct prognosis provides an opportunity to tailor therapeutic approaches as well as to select the patients with specific sub-phenotypes for targeted therapy.Thus,the development of gene expression profiles to improve the prediction of HCC prognosis is important for HCC management.Although several gene signatures have been evaluated for the prediction of HCC prognosis,there is no consensus on the predictive power of these signatures.Using systematic approaches to evaluate these signatures and combine them with clinicopathologic information may provide more accurate prediction of HCC prognosis.Recently,Villanueva et al developed a composite prognostic model incorporating gene expression patterns in both tumor and adjacent tissues to predict HCC recurrence.In this commentary,we summarize the current progress in using gene signatures to predict HCC prognosis,and discuss the importance,existing issues and future research directions in this field.
出处 《World Journal of Gastroenterology》 SCIE CAS CSCD 2012年第30期3941-3944,共4页 世界胃肠病学杂志(英文版)
基金 Supported by The National Outstanding Youth Fund,No.81025015 Key Project Fund,No.91129301 Creative Research Group Fund of the National Natural Science Foundation of China,No.30921006
关键词 Gene expression signatures Hepatocellular carcinoma Prognosis 基因表达数据 预测能力 系统生物学 预后 肝癌 年龄 HCC 肝细胞癌
  • 相关文献

参考文献3

二级参考文献50

共引文献99

同被引文献82

  • 1Stephan Schaefer.Hepatitis B virus taxonomy and hepatitis B virus genotypes[J].World Journal of Gastroenterology,2007,13(1):14-21. 被引量:44
  • 2吴苾,宋彬.影像学新技术在消化系统的临床应用[J].中国普外基础与临床杂志,2007,14(2):222-229. 被引量:17
  • 3田艳,范竹萍,顾海燕.磁共振技术对脂肪性肝病诊断的进展[J].世界华人消化杂志,2007,15(24):2626-2630. 被引量:7
  • 4Hashem B. El-Serag.Epidemiology of Viral Hepatitis and Hepatocellular Carcinoma[J]. Gastroenterology . 2012 (6)
  • 5European Association for the Study of the Liver.EASL Clinical Practice Guidelines: Management of chronic hepatitis B virus infection[J]. Journal of Hepatology . 2012 (1)
  • 6Yifang Han,Hui Cai,Liye Ma,Yibo Ding,Xiaojie Tan,Wenjun Chang,Wei Guan,Yan Liu,Qiuxia Shen,Yongwei Yu,Hongwei Zhang,Guangwen Cao.Expression of orphan nuclear receptor NR4A2 in gastric cancer cells confers chemoresistance and predicts an unfavorable postoperative survival of gastric cancer patients with chemotherapy[J].Cancer.2013(19)
  • 7Augusto Villanueva,Yujin Hoshida,Carlo Battiston,Victoria Tovar,Daniela Sia,Clara Alsinet,Helena Cornella,Arthur Liberzon,Masahiro Kobayashi,Hiromitsu Kumada,Swan N. Thung,Jordi Bruix,Philippa Newell,Craig April,Jian–Bing Fan,Sasan Roayaie,Vincenzo Mazzaferro,Myron E. Schwartz,Josep M. Llovet.Combining Clinical, Pathology, and Gene Expression Data to Predict Recurrence of Hepatocellular Carcinoma[J].Gastroenterology.2011(5)
  • 8Cheng-lin Zhu,Qiang Huang,Chen-hai Liu,Xian-sheng Lin,Fang Xie.Prognostic value of HIF-1α expression in patients with gastric cancer[J].Molecular Biology Reports.2013(11)
  • 9Xiuyu Cai,Weihan Hu,Bei Zhang,Ni Dai,Ruihua Xu,Huijuan Qiu,Deshen Wang,Zhiming Li,Wenqi Jiang.Genotyping of IL-8-251 T > A yields prognostic information in patients with gastric carcinoma[J].Biomarkers.2013(7)
  • 10Sumiya Ishigami,Takaaki Arigami,Yasuto Uchikado,Tetsuro Setoyama,Yoshiaki Kita,Ken Sasaki,Hiroshi Okumura,Hiroshi Kurahara,Yuko Kijima,Aya Harada,Shinichi Ueno,Shoji Natsugoe.IL-32 expression is an independent prognostic marker for gastric cancer[J].Medical Oncology.2013(2)

引证文献6

二级引证文献59

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部