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

Author:

Tan Gideon Ze Lin1,Leong Sai Mun2,Jin Yu3,Kuick Chik Hong4,Chee Jeremy Joon Keat1ORCID,Low San Zeng1,Ding Ling-Wen25ORCID,Cheng He3,Lim Diana1,Hue Susan Swee-Shan12ORCID

Affiliation:

1. Department of Pathology, National University Hospital, Singapore 118177, Singapore

2. Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore

3. MiRXES Pte Ltd., Singapore 618305, Singapore

4. Department of Pathology and Laboratory Medicine, KK Women’s and Children’s Hospital, Singapore 229899, Singapore

5. Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore

Abstract

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.

Funder

NUHS

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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