Bioinformatics analysis of esophageal cancer unveils an integrated mRNA‑lncRNAsignature for predicting prognosis
作者: Tian LanZunqiang XiaoHua LuoKunlun SuOuou YangChengni ZhanYunyan Lu
作者单位: 1Department of Breast Surgery, Hangzhou Hospital of TraditionalChinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
2The Second Clinical Medical College, Zhejiang Chinese MedicalUniversity, Hangzhou, Zhejiang 310053, P.R. China
3Department of Cardiology, The First People's Hospital of Xiaoshan,Hangzhou, Zhejiang 311201, P.R. China
刊名: Oncology Letters, 2020, Vol.19 (2), pp.1434-1442
来源数据库: Spandidos Journal
DOI: 10.3892/ol.2019.11208
原始语种摘要: Esophageal cancer (ESCA) carries a poor prognosis among gastrointestinalmalignancies. The present study developed a signature based on mRNAs and longnon‑coding RNAs (lncRNAs) to predict prognosis in ESCA by using The Cancer GenomeAtlas database. By using least absolute shrinkage and selection operator penalizedregression, a set of RNAs (three mRNAs and two lncRNAs) was identified and usedto build a risk score system of ESCA prognosis, which was used to stratify patientshaving considerable diverse survival in the training set [hazard ratio (HR), 3.932;95% CI, 1.555‑9.944; P<0.002] into high‑ and low‑risk groups. The authenticationof the results was achieved through the test set (HR, 3.150; 95% CI, 1.113‑8.918;P<0.02) and the entire set (HR, 3.181; 95% CI, 1.686‑6.006; P<0.0002). Theresults...
全文获取路径: Spandidos 
影响因子:0.237 (2012)

  • prognosis 预报
  • esophageal 食管的
  • mRNA m核糖核酸
  • cancer 癌症
  • survival 生存
  • integrated 综[组,复]合
  • ESCA 化学分析电子能电子能谱谱
  • analysis 分析
  • predicting 预测
  • prognostic 预测的