Dysregulation of miR-1-3p: An Early Event in Colitis-Associated Dysplasia.
Mariana F FragosoGeysson Javier FernandezLisa VanderveerHarry S CooperMichael SlifkerMargie L ClapperPublished in: International journal of molecular sciences (2022)
Detection of colorectal dysplasia during surveillance colonoscopy remains the best method of determining risk for colitis-associated colorectal cancer (CAC). miRNAs (miRs) show great promise as tissue-specific biomarkers of neoplasia. The goal of this study was to explore the miR expression profile of precancerous dysplastic lesions in the AOM/DSS mouse model and identify early molecular changes associated with CAC. Epithelial cells were laser-microdissected from the colonic mucosa (inflamed versus dysplastic) of mice with AOM/DSS-induced colitis. A miR signature that can distinguish inflamed non-neoplastic mucosa from dysplasia was identified. Bioinformatic analyses led to the discovery of associated miR gene targets and enriched pathways and supported the construction of a network interaction map. miR-1a-3p was one of the miRs with the highest number of predicted targets, including Cdk6 . Interestingly, miR-1a-3p and Cdk6 were down- and up-regulated in dysplastic lesions, respectively. Transfection of HCT116 and RKO cells with miR-1a-3p mimics induced apoptosis and cell cycle arrest in G1, suggesting its biological function. A slight reduction in the level of CDK6 transcripts was also observed in cells transfected with miR-1. These data provide novel insight into the early molecular alterations that accompany the development of CAC and identify a miR signature that represents a promising biomarker for the early detection of colitis-associated dysplasia.
Keyphrases
- induced apoptosis
- cell cycle arrest
- cell proliferation
- long non coding rna
- long noncoding rna
- pi k akt
- endoplasmic reticulum stress
- cell death
- cell cycle
- signaling pathway
- oxidative stress
- mouse model
- ulcerative colitis
- gene expression
- type diabetes
- public health
- small molecule
- electronic health record
- copy number
- high resolution
- genome wide
- mass spectrometry
- machine learning
- single cell
- genome wide identification
- data analysis