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Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer

Despite a global decrease in colorectal cancer (CRC) incidence, the prevalence of early-onset colorectal cancer (EOCRC), or those occurring in individuals before the age of 50, has steadily increased over the past several decades. When compared to later onset colorectal cancer (LOCRC) in individuals...

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Autores principales: Marx, Olivia M., Mankarious, Marc M., Eshelman, Melanie A., Ding, Wei, Koltun, Walter A., Yochum, Gregory S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496520/
https://www.ncbi.nlm.nih.gov/pubmed/36139061
http://dx.doi.org/10.3390/biom12091223
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author Marx, Olivia M.
Mankarious, Marc M.
Eshelman, Melanie A.
Ding, Wei
Koltun, Walter A.
Yochum, Gregory S.
author_facet Marx, Olivia M.
Mankarious, Marc M.
Eshelman, Melanie A.
Ding, Wei
Koltun, Walter A.
Yochum, Gregory S.
author_sort Marx, Olivia M.
collection PubMed
description Despite a global decrease in colorectal cancer (CRC) incidence, the prevalence of early-onset colorectal cancer (EOCRC), or those occurring in individuals before the age of 50, has steadily increased over the past several decades. When compared to later onset colorectal cancer (LOCRC) in individuals over 50, our understanding of the genetic and molecular underpinnings of EOCRCs is limited. Here, we conducted transcriptomic analyses of patient-matched normal colonic segments and tumors to identify gene expression programs involved in carcinogenesis. Amongst differentially expressed genes, we found increased expression of the c-MYC proto-oncogene (MYC) and its downstream targets in tumor samples. We identified tumors with high and low differential MYC expression and found patients with high-MYC tumors were older and overweight or obese. We also detected elevated expression of the PVT1 long-non-coding RNA (lncRNA) in most tumors and found gains in copy number for both MYC and PVT1 gene loci in 35% of tumors evaluated. Our transcriptome analyses indicate that EOCRC can be sub-classified into groups based on differential MYC expression and suggest that deregulated MYC contributes to CRCs that develop in younger patients.
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spelling pubmed-94965202022-09-23 Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer Marx, Olivia M. Mankarious, Marc M. Eshelman, Melanie A. Ding, Wei Koltun, Walter A. Yochum, Gregory S. Biomolecules Article Despite a global decrease in colorectal cancer (CRC) incidence, the prevalence of early-onset colorectal cancer (EOCRC), or those occurring in individuals before the age of 50, has steadily increased over the past several decades. When compared to later onset colorectal cancer (LOCRC) in individuals over 50, our understanding of the genetic and molecular underpinnings of EOCRCs is limited. Here, we conducted transcriptomic analyses of patient-matched normal colonic segments and tumors to identify gene expression programs involved in carcinogenesis. Amongst differentially expressed genes, we found increased expression of the c-MYC proto-oncogene (MYC) and its downstream targets in tumor samples. We identified tumors with high and low differential MYC expression and found patients with high-MYC tumors were older and overweight or obese. We also detected elevated expression of the PVT1 long-non-coding RNA (lncRNA) in most tumors and found gains in copy number for both MYC and PVT1 gene loci in 35% of tumors evaluated. Our transcriptome analyses indicate that EOCRC can be sub-classified into groups based on differential MYC expression and suggest that deregulated MYC contributes to CRCs that develop in younger patients. MDPI 2022-09-02 /pmc/articles/PMC9496520/ /pubmed/36139061 http://dx.doi.org/10.3390/biom12091223 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marx, Olivia M.
Mankarious, Marc M.
Eshelman, Melanie A.
Ding, Wei
Koltun, Walter A.
Yochum, Gregory S.
Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer
title Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer
title_full Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer
title_fullStr Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer
title_full_unstemmed Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer
title_short Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer
title_sort transcriptome analyses identify deregulated myc in early onset colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496520/
https://www.ncbi.nlm.nih.gov/pubmed/36139061
http://dx.doi.org/10.3390/biom12091223
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