Novel biomarkers for neoplastic progression from ulcerative colitis to colorectal cancer: a systems biology approach

被引:7
|
作者
Shahnazari, Mina [1 ,2 ]
Afshar, Saeid [2 ]
Emami, Mohammad Hassan [3 ]
Amini, Razieh [2 ]
Jalali, Akram [2 ]
机构
[1] Hamadan Univ Med Sci, Hamadan, Iran
[2] Hamadan Univ Med Sci, Res Ctr Mol Med, Hamadan, Iran
[3] Isfahan Univ Med Sci, Poursina Hakim, Digest Dis Res Ctr, Esfahan, Iran
关键词
INFLAMMATORY-BOWEL-DISEASE; DOWN-REGULATION; TUMOR-GROWTH; MIR-194; EXPRESSION; RISK; GENE; OVEREXPRESSION; CHEMOKINES; CARCINOMA;
D O I
10.1038/s41598-023-29344-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent studies, the void of evaluation and in-depth understanding of unknown clinically relevant potential molecular biomarkers involved in colorectal cancer (CRC) from the inflammatory stage of ulcerative colitis (UC) to CRC metastasis, which can be suitable therapeutic targets, is deeply felt. The regulation and interaction among different cancer-promoting molecules, including messenger RNAs (mRNAs) and micro RNAs (miRNAs) in CRC and its progression, were the aim we pursued in this study. Using microarray data, we investigated the differential expression for five datasets, including mRNA and microRNA samples related to UC, tumor/normal. Then, using robust data analysis, separate lists of differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) were identified, which were used for robust rank aggregation (RRA) and co-expression network analysis. Then, comprehensive computational systems biology analyses, including gene ontology and Kyoto encyclopedia of genes and genomic pathway enrichment analyses, mRNA-miRNA regulatory network, and survival analysis, were employed to achieve the aim of this study. Finally, we used clinical samples to validate this potential and new target. According to this systems biology approach, a total of 98 DEGs and 8 DEmiRNAs with common differential expression were identified. By combining the distinct results of RRA and network, several potential therapeutic targets, and predictive and prognostic biomarkers for UC and CRC were identified. These targets include six common hub genes, CXCL1, CXCL8, MMP7, SLCA16A9, PLAU, and TIMP1, which are upregulated. Among these, the important and new biomarker SLC16A9 is negatively regulated by hsa-mir-194-5p, and hsa-miR-378a-5p take. The findings of the present study provide new insight into the pathogenesis of CRC in UC. Our study suggests future evaluation of the functional role of SLC16A9 and hsa-mir-194-5p and hsa-miR-378a-5p in CRC development.
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页数:19
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