Integrative multi-platform meta-analysis of hepatocellular carcinoma gene expression profiles for identifying prognostic and diagnostic biomarkers
作者机构：Department of Medical InformaticsFaculty of MedicineMashhad University of Medical SciencesMashhad 91388-13944Iran Physiology Research CenterInstitute of NeuropharmacologyKerman University of Medical SciencesKerman ***Iran Department of Computer EngineeringCentral Tehran BranchIslamic Azad UniversityTehran ***Iran Modeling in Health Research CenterInstitute for Futures Studies in HealthKerman University of Medical SciencesKerman ***Iran Department of BiologyFaculty of SciencesUniversity of GuilanRasht 13111-41937Iran Department of Plant BiotechnologyFaculty of Life Science and BiotechnologyShahid Beheshti UniversityTehran 198396-3113Iran Department of Experimental and Clinical PharmacologyPomeranian Medical UniversitySzczecin 70-111Poland
出 版 物：《Genes & Diseases》 (基因与疾病（英文）)
年 卷 期：2023年第10卷第4期
页 面：1194-1196页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：support from Kerman University of Medical Sciences,Kerman,Iran(No.98000927) approved by the Ethics Committee of Kerman University of Medical Sciences(Iran)(No.IR.KMU.REC.1399.116)
主 题：liver prognosis hepatocellular
摘 要：Hepatocellular carcinoma(HCC),as one of the most com-mon types of primary liver cancer(PLV),accounts for approximately 75%e90%of all PLV cases identified worldwide.^(1)Currently,the most effective treatment for HCC patients constitutes liver ***,due to high rates of recurrence a poor prognosis is predicted.^(2)Therefore,accurate HCC biomarkers are ur-gently needed to develop innovative *** of earlier investigations to identify biomarkers have been severely limited by sample size.
维普期刊数据库