Transcriptomic analysis identifies four novel receptors potentially linking endometrial cancer with polycystic ovary syndrome and generates a transcriptomic atlas
Abstract
// Fatma Alqutami 1 , Mahmood Hachim 1 , Charlie Hodgman 2 and William Atiomo 1 1 College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Healthcare City, Dubai, UAE 2 School of Biosciences, University of Nottingham, Loughborough LE12 5RD, UK Correspondence to: William Atiomo, email: [email protected] Keywords: polycystic ovary syndrome; endometrial cancer; transcriptomics; IGF1; in-silico Received: April 03, 2023 Accepted: September 11, 2023 Published: September 22, 2023 Copyright: © 2023 Alqutami et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Polycystic Ovary Syndrome (PCOS) is associated with a 3 to 4-fold increased risk of endometrial cancer (EC), but molecular mechanisms are unclear. Upregulation of the IGF1 gene in PCOS endometrium may increase EC risk, but this is uncertain. We aimed to investigate links between EC and PCOS, by analysing publicly available transcriptomic data. The NCBI Gene Expression Omnibus was used to identify relevant studies. Differentially expressed genes (DEGs) were identified and analysed using Metascape to identify pathways of interest. PCOS DEGs that encode proteins secreted into blood were identified using the Human Protein Atlas blood protein database. EC DEGs that are cellular…
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