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Biological Research

versión impresa ISSN 0716-9760

Resumen

LI, Chunsheng; SHEN, Zhen; ZHOU, Yangyang  y  YU, Wei. Independent prognostic genes and mechanism investigation for colon cancer. Biol. Res. [online]. 2018, vol.51, 10.  Epub 15-Jun-2018. ISSN 0716-9760.  http://dx.doi.org/10.1186/s40659-018-0158-7.

Propose

We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC).

Methods

Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis including overall survival (OS) and disease-free survival (DFS) were performed in all three datasets.

Results

A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Furthermore, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC.

Conclusions

ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix and digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the process of CC.

Palabras clave : Colon cancer; Differentially expressed microRNAs; Function and pathway analysis; Independent prognostic gene; Overall survival; Disease-free survival.

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