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Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer

文献类型：期刊论文

作者Liu, Xinkui1; Bing, Zhitong2,3,4; Wu, Jiarui1; Zhang, Jingyuan1; Zhou, Wei1; Ni, Mengwei1; Meng, Ziqi1; Liu, Shuyu1; Tian, Jinhui2,3; Zhang, Xiaomeng1
刊名MEDICAL SCIENCE MONITOR
出版日期2020
卷号26页码:14
ISSN号1643-3750
关键词Biological Markers Colorectal Neoplasms Gene Expression Profiling Prognosis
DOI10.12659/MSM.918906
通讯作者Wu, Jiarui(exogamy@163.com)
英文摘要Background: Despite noteworthy advancements in the multidisciplinary treatment of colorectal cancer (CRC) and deeper understanding in the molecular mechanisms of CRC, many of CRC patients with histologically identical tumors present different treatment response and prognosis. Thus, more evidence on novel predictive and prognostic biomarkers for CRC remains urgently needed. This study aims to identify potential prognostic biomarkers for CRC with integrative gene expression profiling analysis. Material/Methods: Differential expression analysis of paired CRC and adjacent normal tissue samples in 6 microarray datasets was independently performed, and the 6 datasets were integrated by the robust rank aggregation method to detect consistent differentially expressed genes (DEGs). Aberrant expression patterns of these genes were further validated in RNA sequencing data. Then, gene set enrichment analysis (GSEA) was performed to investigate significantly dysregulated biological functions in CRC. Finally, univariate, LASSO and multivariate Cox regression models were built to identify key prognostic genes in CRC patients. Results: A total of 990 DEGs (495 downregulated and 495 upregulated genes) were acquired after integratedly analyzing the 6 microarray datasets, and 4131 DEGs (2050 downregulated and 2081 upregulated genes) were obtained from the RNA sequencing dataset. Subsequently, these DEGs were intersected and 885 consistent DEGs were finally identified, including 458 downregulated and 427 upregulated genes. Two risky prognostic genes (TIMP1 and LZTS3) and 5 protective prognostic genes (AXIN2, CXCL1, ITLN1, CPT2 and CLDN23) were identified, which were significantly associated with the prognosis of CRC. Conclusions: The 7 genes that we identified would provide more evidence for further applying novel diagnostic and prognostic biomarkers in clinical practice to facilitate personalized treatment of CRC.
WOS关键词FOLFIRI PLUS BEVACIZUMAB ; 1ST-LINE TREATMENT ; OPEN-LABEL ; TIMP-1 ; FLUOROURACIL ; LEUCOVORIN ; SURVIVAL ; OMENTIN ; TISSUE ; AXIN2
资助项目National Natural Science Foundation of China[81473547] ; National Natural Science Foundation of China[81673829]
WOS研究方向Research & Experimental Medicine
语种英语
出版者INT SCIENTIFIC INFORMATION, INC
WOS记录号WOS:000504992800001
资助机构National Natural Science Foundation of China
源URL[http://119.78.100.186/handle/113462/141366]  
专题中国科学院近代物理研究所
通讯作者Wu, Jiarui
作者单位1.Beijing Univ Chinese Med, Sch Chinese Mat Med, Dept Clin Chinese Pharm, Beijing, Peoples R China
2.Lanzhou Univ, Evidence Based Med Ctr, Sch Basic Med Sci, Lanzhou, Gansu, Peoples R China
3.Key Lab Evidence Based Med & Knowledge Translat G, Lanzhou, Gansu, Peoples R China
4.Chinese Acad Sci, Inst Modern Phys, Lanzhou, Gansu, Peoples R China
5.China Acad Chinese Med Sci, Ctr Drug Metab & Pharmacokinet DMPK Res Herbal Me, Inst Chinese Mat Med, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Xinkui,Bing, Zhitong,Wu, Jiarui,et al. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer[J]. MEDICAL SCIENCE MONITOR,2020,26:14.
APA Liu, Xinkui.,Bing, Zhitong.,Wu, Jiarui.,Zhang, Jingyuan.,Zhou, Wei.,...&Guo, Siyu.(2020).Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.MEDICAL SCIENCE MONITOR,26,14.
MLA Liu, Xinkui,et al."Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer".MEDICAL SCIENCE MONITOR 26(2020):14.

入库方式： OAI收割

来源：近代物理研究所

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