TY - JOUR
T1 - Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression
AU - Cho-Clark, Madelaine J.
AU - Sukumar, Gauthaman
AU - Vidal, Newton Medeiros
AU - Raiciulescu, Sorana
AU - Oyola, Mario G.
AU - Olsen, Cara
AU - Marino-Ramírez, Leonardo
AU - Dalgard, Clifton L.
AU - John Wu, T.
N1 - Publisher Copyright:
© 2021 Impact Journals LLC. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - cancer stage
KW - comparative transcriptome analysis
KW - endometrial cancer
KW - normalization
KW - signaling pathways
UR - http://www.scopus.com/inward/record.url?scp=85129299580&partnerID=8YFLogxK
U2 - 10.18632/ONCOTARGET.28161
DO - 10.18632/ONCOTARGET.28161
M3 - Article
C2 - 34966482
AN - SCOPUS:85129299580
SN - 1949-2553
VL - 12
SP - 2500
EP - 2513
JO - Oncotarget
JF - Oncotarget
IS - 26
ER -