Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784794289780293632 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9496520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT marxoliviam transcriptomeanalysesidentifyderegulatedmycinearlyonsetcolorectalcancer AT mankariousmarcm transcriptomeanalysesidentifyderegulatedmycinearlyonsetcolorectalcancer AT eshelmanmelaniea transcriptomeanalysesidentifyderegulatedmycinearlyonsetcolorectalcancer AT dingwei transcriptomeanalysesidentifyderegulatedmycinearlyonsetcolorectalcancer AT koltunwaltera transcriptomeanalysesidentifyderegulatedmycinearlyonsetcolorectalcancer AT yochumgregorys transcriptomeanalysesidentifyderegulatedmycinearlyonsetcolorectalcancer |