Cargando…
Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression
The rising incidence and mortality of endometrial cancer (EC) in the United States calls for an improved understanding of the disease's progression. Current methodologies for diagnosis and treatment rely on the use of cell lines as models for tumor biology. However, due to inherent heterogeneit...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711572/ https://www.ncbi.nlm.nih.gov/pubmed/34966482 http://dx.doi.org/10.18632/oncotarget.28161 |
_version_ | 1784623397903269888 |
---|---|
author | Cho-Clark, Madelaine J. Sukumar, Gauthaman Vidal, Newton Medeiros Raiciulescu, Sorana Oyola, Mario G. Olsen, Cara Mariño-Ramírez, Leonardo Dalgard, Clifton L. Wu, T. John |
author_facet | Cho-Clark, Madelaine J. Sukumar, Gauthaman Vidal, Newton Medeiros Raiciulescu, Sorana Oyola, Mario G. Olsen, Cara Mariño-Ramírez, Leonardo Dalgard, Clifton L. Wu, T. John |
author_sort | Cho-Clark, Madelaine J. |
collection | PubMed |
description | The rising incidence and mortality of endometrial cancer (EC) in the United States calls for an improved understanding of the disease's progression. Current methodologies for diagnosis and treatment rely on the use of cell lines as models for tumor biology. However, due to inherent heterogeneity and differential growing environments between cell lines and tumors, these comparative studies have found little parallels in molecular signatures. As a consequence, the development and discovery of preclinical models and reliable drug targets are delayed. In this study, we established transcriptome parallels between cell lines and tumors from The Cancer Genome Atlas (TCGA) with the use of optimized normalization methods. We identified genes and signaling pathways associated with regulating the transformation and progression of EC. Specifically, the LXR/RXR activation, neuroprotective role for THOP1 in Alzheimer’s disease, and glutamate receptor signaling pathways were observed to be mostly downregulated in advanced cancer stage. While some of these highlighted markers and signaling pathways are commonly found in the central nervous system (CNS), our results suggest a novel function of these genes in the periphery. Finally, our study underscores the value of implementing appropriate normalization methods in comparative studies to improve the identification of accurate and reliable markers. |
format | Online Article Text |
id | pubmed-8711572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-87115722021-12-28 Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression Cho-Clark, Madelaine J. Sukumar, Gauthaman Vidal, Newton Medeiros Raiciulescu, Sorana Oyola, Mario G. Olsen, Cara Mariño-Ramírez, Leonardo Dalgard, Clifton L. Wu, T. John Oncotarget Research Paper The rising incidence and mortality of endometrial cancer (EC) in the United States calls for an improved understanding of the disease's progression. Current methodologies for diagnosis and treatment rely on the use of cell lines as models for tumor biology. However, due to inherent heterogeneity and differential growing environments between cell lines and tumors, these comparative studies have found little parallels in molecular signatures. As a consequence, the development and discovery of preclinical models and reliable drug targets are delayed. In this study, we established transcriptome parallels between cell lines and tumors from The Cancer Genome Atlas (TCGA) with the use of optimized normalization methods. We identified genes and signaling pathways associated with regulating the transformation and progression of EC. Specifically, the LXR/RXR activation, neuroprotective role for THOP1 in Alzheimer’s disease, and glutamate receptor signaling pathways were observed to be mostly downregulated in advanced cancer stage. While some of these highlighted markers and signaling pathways are commonly found in the central nervous system (CNS), our results suggest a novel function of these genes in the periphery. Finally, our study underscores the value of implementing appropriate normalization methods in comparative studies to improve the identification of accurate and reliable markers. Impact Journals LLC 2021-12-21 /pmc/articles/PMC8711572/ /pubmed/34966482 http://dx.doi.org/10.18632/oncotarget.28161 Text en Copyright: © 2021 Cho-Clark et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Cho-Clark, Madelaine J. Sukumar, Gauthaman Vidal, Newton Medeiros Raiciulescu, Sorana Oyola, Mario G. Olsen, Cara Mariño-Ramírez, Leonardo Dalgard, Clifton L. Wu, T. John Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
title | Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
title_full | Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
title_fullStr | Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
title_full_unstemmed | Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
title_short | Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
title_sort | comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711572/ https://www.ncbi.nlm.nih.gov/pubmed/34966482 http://dx.doi.org/10.18632/oncotarget.28161 |
work_keys_str_mv | AT choclarkmadelainej comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT sukumargauthaman comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT vidalnewtonmedeiros comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT raiciulescusorana comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT oyolamariog comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT olsencara comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT marinoramirezleonardo comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT dalgardcliftonl comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression AT wutjohn comparativetranscriptomeanalysisbetweenpatientandendometrialcancercelllinestodeterminecommonsignalingpathwaysandmarkerslinkedtocancerprogression |