Identification of novel biomarkers affecting the metastasis of colorectal cancer through bioinformatics analysis and validation through qRT-PCR

被引:17
|
作者
Lian, Wenping [1 ]
Jin, Huifang [2 ]
Cao, Jingjing [3 ]
Zhang, Xinyu [4 ]
Zhu, Tao [5 ]
Zhao, Shuai [1 ]
Wu, Sujun [1 ]
Zou, Kailu [6 ]
Zhang, Xinyun [7 ]
Zhang, Mingliang [8 ]
Zheng, Xiaoyong [9 ]
Peng, Mengle [1 ]
机构
[1] Henan 3 Prov Peoples Hosp, Dept Clin Lab, Zhengzhou 450006, Henan, Peoples R China
[2] Zhengzhou Univ, Dept Blood Transfus, Affiliated Hosp 1, Zhengzhou 450052, Henan, Peoples R China
[3] Henan Med Coll, Dept Basis Med, Zhengzhou 451191, Henan, Peoples R China
[4] Henan 3 Prov Peoples Hosp, Dept Med Affair, Zhengzhou 450006, Henan, Peoples R China
[5] Zhecheng Peoples Hosp, Dept Clin Lab, Shangqiu 476000, Henan, Peoples R China
[6] Zhengzhou Univ, Med Coll, Zhengzhou 450052, Henan, Peoples R China
[7] Henan 3 Prov Peoples Hosp, Dept Anorectal Surg, Zhengzhou 450006, Henan, Peoples R China
[8] Henan Univ Tradit Chinese Med, Henan Prov Engn Lab Clin Evaluat Technol Chinese, Affiliated Hosp 1, Zhengzhou 450000, Peoples R China
[9] Henan 3 Prov Peoples Hosp, Dept Digest, Zhengzhou 450006, Henan, Peoples R China
关键词
Colorectal cancer; Metastasis; Prognosis; Biomarker; WGCNA; GENE-EXPRESSION; LIVER METASTASES; PROTEIN; COLON; CHP2; MODULES; TRAITS; STAGE; MIRNA;
D O I
10.1186/s12935-020-01180-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Tumor progression and distant metastasis are the main causes of deaths in colorectal cancer (CRC) patients, and the molecular mechanisms in CRC metastasis have not been completely discovered. Methods We identified differentially expressed genes (DEGs) and lncRNAs (DELs) of CRC from The Cancer Genome Atlas (TCGA) database. Then we conducted the weighted gene co-expression network analysis (WGCNA) to investigate co-expression modules related with CRC metastasis. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, DEG-DEL co-expression network and survival analyses of significant modules were also conducted. Finally, the expressions of selected biomarkers were validated in cell lines by quantitative real-time PCR (qRT-PCR). Results 2032 DEGs and 487 DELs were involved the construction of WGCNA network, and greenyellow, turquoise and brown module were identified to have more significant correlation with CRC metastasis. GO and KEGG pathway analysis of these three modules have proven that the functions of DEGs were closely involved in many important processes in cancer pathogenesis. Through the DEG-DEL co-expression network, 12 DEGs and 2 DELs were considered as hub nodes. Besides, survival analysis showed that 30 DEGs were associated with the overall survival of CRC. Then 10 candidate biomarkers were chosen for validation and the expression of CA2, CHP2, SULT1B1, MOGAT2 and C1orf115 were significantly decreased in CRC cell lines when compared to normal human colonic epithelial cells, which were consistent with the results of differential expression analysis. Especially, low expression of SULT1B1, MOGAT2 and C1orf115 were closely correlated with poorer survival of CRC. Conclusion This study identified 5 genes as new biomarkers affecting the metastasis of CRC. Besides, SULT1B1, MOGAT2 and C1orf115 might be implicated in the prognosis of CRC patients.
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页数:12
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