MicroRNA Landscape in Endometrial Carcinomas in an Asian population: Unraveling Subtype-Specific Signatures

• Published in: Cancers Vol. 15; no. 21; p. 5260
• Main Authors: Tan, Gideon Ze Lin, Leong, Sai Mun, Jin, Yu, Kuick, Chik Hong, Chee, Jeremy Joon Keat, Low, San Zeng, Ding, Ling-Wen, Cheng, He, Lim, Diana, Hue, Susan Swee-Shan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2023
• Subjects: Analysis; Cancer; Carcinoma; Classification; Cloning; Endometrium; Gene expression; Gene regulation; Gene silencing; Genes; Genetic aspects; Genetic transcription; Genomes; Genomics; MicroRNA; MicroRNAs; miRNA; Mutation; p53 Protein; Post-transcription; Prognosis; Proteins; RNA-mediated interference; Tumor proteins; Tumors; Yeast; Singapore; United States > US
• ISSN: 2072-6694; 2072-6694
• DOI: 10.3390/cancers15215260

MicroRNAs (MiRNAs) are small, non-coding RNA molecules that function in RNA silencing and post-transcriptional regulation of gene expression. We analyzed the differential expression of miRNAs in 119 endometrial carcinomas, measuring their expression in histological subtypes, molecular subtypes, and tumors with CTNNB1 mutations. Tumors were subdivided into histological and molecular subtypes as defined by The Cancer Genome Atlas. The expression levels of 352 miRNAs were quantified using the PanoramiR panel. Mir-449a, mir-449b-5p, and mir-449c-5p were the top three miRNAs showing increased expression in both endometrioid and de-differentiated carcinomas but were not significantly increased in serous and clear cell carcinomas. The miRNAs with the most increased expression in serous and clear cell carcinomas were miR-9-3p and miR-375, respectively. We also identified 62 differentially expressed miRNAs among different molecular subtypes. Using sequential forward selection, we built subtype classification models for some molecular subtypes of endometrial carcinoma, comprising 5 miRNAs for MMR-deficient tumors, 10 miRNAs for p53-mutated tumors, and 3 miRNAs for CTNNB1-mutated tumors, with areas under curves of 0.75, 0.85, and 0.78, respectively. Our findings confirm the differential expression of miRNAs between various endometrial carcinoma subtypes and may have implications for the development of diagnostic and prognostic tools.