Verification of gene expression profiles for colorectal cancer using 12 internet public microarray datasets

作     者：Yu-Tien Chang Chung-Tay Yao Sui-Lung Su Yu-Ching Chou Chi-Ming Chu Chi-Shuan Huang Harn-Jing Terng Hsiu-Ling Chou Thomas Wetter Kang-Hua Chen Chi-Wen Chang Yun-Wen Shih Ching-Huang Lai 

作者机构：Division of Biomedical Statistics and InformaticsSchool of Public HealthNational Defense Medical Center Department of EmergencyCathay General Hospital Department of EpidemiologySchool of Public HealthNational Defense Medical Center Division of Colorectal SurgeryCheng Hsin Rehabilitation Medical Center AdvpharmaInc. Department of NursingFar Eastern Memorial Hospital Oriental Institute of Technology Department of Medical InformaticsFaculty of MedicineUniversity of Heidelberg69120 HeidelbergGermany School of NursingCollege of MedicineChang Gung University 

出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)

年 卷 期：2014年第20卷第46期

页      面：17476-17482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] 

主　　题：Gene expression profiles Colorectal cancer Microar 

摘      要：AIM:To verify gene expression profiles for colorectal cancer using 12 internet public microarray ***:Logistic regression analysis was performed,and odds ratios for each gene were determined between colorectal cancer(CRC)and *** microarray datasets of GSE 4107,4183,8671,9348,10961,13067,13294,13471,14333,15960,17538,and 18105,which included 519 cases of adenocarcinoma and 88 normal mucosa controls,were pooled and used to verify 17 selective genes from 3 published studies and estimate the external ***:We validated the 17 CRC-associated genes from studies by Chang et al(Model 1:5 genes),Marshall et al(Model 2:7 genes)and Han et al(Model 3:5genes)and performed the multivariate logistic regression analysis using the pooled 12 public microarray datasets as well as the external *** goodnessof-fit test of Hosmer-Lemeshow(H-L)showed statistical significance(P=0.044)for Model 2 of Marshall et al in which observed event rates did not match expected event rates in subgroups of the model *** and observed event rates in subgroups were similar,which are called well calibrated,in Models 1,3and 4 with non-significant P values of 0.460,0.194 and1.000 for H-L tests,respectively.A 7-gene model of CPEB4,EIF2S3,MGC20553,MS4A1,ANXA3,TNFAIP6and IL2RB was pairwise selected,which showed the best results in logistic regression analysis(H-L P=1.000,R2=0.951,areas under the curve=0.999,accuracy=0.968,specificity=0.966 and sensitivity=0.994).CONCLUSION:A novel gene expression profile was associated with CRC and can potentially be applied to blood-based detection assays.