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Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer

SIMPLE SUMMARY: Exploring the key molecular regulatory mechanism of pancreatic cancer is crucial to investigate the therapeutic strategies for pancreatic cancer. To precisely identify key pancreatic cancer genes, we used a multiple analyses integrated approach. We performed gene association analysis...

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Autores principales: Chen, Yu, Wang, Jialun, Guo, Qiyuan, Li, Xihan, Zou, Xiaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655857/
https://www.ncbi.nlm.nih.gov/pubmed/36358856
http://dx.doi.org/10.3390/cancers14215439
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author Chen, Yu
Wang, Jialun
Guo, Qiyuan
Li, Xihan
Zou, Xiaoping
author_facet Chen, Yu
Wang, Jialun
Guo, Qiyuan
Li, Xihan
Zou, Xiaoping
author_sort Chen, Yu
collection PubMed
description SIMPLE SUMMARY: Exploring the key molecular regulatory mechanism of pancreatic cancer is crucial to investigate the therapeutic strategies for pancreatic cancer. To precisely identify key pancreatic cancer genes, we used a multiple analyses integrated approach. We performed gene association analysis on the key gene MYEOV we discovered, which led to a molecular network with MYEOV as the core. The genes in this molecular network could work together to influence the development of pancreatic cancer, possibly through protumor immune cell infiltration. It is the first report to focus on the possibility that MYEOV may act as a ceRNA to form an interaction network with some pancreatic cancer-related genes such as KRAS and serve as a strategic therapeutic target of pancreatic cancer treatment. ABSTRACT: The molecular mechanism that promotes pancreatic cancer remains unclear, so it is important to find the molecular network of important genes related to pancreatic cancer. To find the key molecule of pancreatic cancer, differential gene expression analyses were analyzed by the Deseq2 package, edgeR package, and limma-voom package, respectively. Pancreatic cancer survival-related genes were analyzed by COX survival analysis. Finally, we integrated the results to obtain the significantly differentially expressed gene, MYEOV (myeloma overexpressed gene), most strongly related to survival in pancreatic cancer. Experimental verification by qRT-PCR confirmed that transcription levels of MYEOV mRNA markedly increased in pancreatic cancer cells relative to normal human pancreatic ductal epithelial cells (HPDE). Through the comprehensive analysis of multiple databases, we constructed a molecular network centered on MYEOV and found specific links between molecules in this network and tumor-associated immune cells. It was noted that MYEOV could serve as a ceRNA by producing molecular sponging effects on hsa-miR-103a-3p and hsa-miR-107, thus affecting the role of GPRC5A, SERPINB5, EGFR, KRAS, EIF4G2, and PDCD4 on pancreatic cancer progression. Besides, we also identified that infiltrated immune cells are potential mediators for the molecules in the MYEOV-related network to promote pancreatic cancer progression. It is the first report to focus on the possibility that MYEOV may act as a competing endogenous RNA (ceRNA) to form an interactive network with some pancreatic cancer-related genes such as KRAS and serve as a key therapeutic target of pancreatic cancer treatment.
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spelling pubmed-96558572022-11-15 Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer Chen, Yu Wang, Jialun Guo, Qiyuan Li, Xihan Zou, Xiaoping Cancers (Basel) Article SIMPLE SUMMARY: Exploring the key molecular regulatory mechanism of pancreatic cancer is crucial to investigate the therapeutic strategies for pancreatic cancer. To precisely identify key pancreatic cancer genes, we used a multiple analyses integrated approach. We performed gene association analysis on the key gene MYEOV we discovered, which led to a molecular network with MYEOV as the core. The genes in this molecular network could work together to influence the development of pancreatic cancer, possibly through protumor immune cell infiltration. It is the first report to focus on the possibility that MYEOV may act as a ceRNA to form an interaction network with some pancreatic cancer-related genes such as KRAS and serve as a strategic therapeutic target of pancreatic cancer treatment. ABSTRACT: The molecular mechanism that promotes pancreatic cancer remains unclear, so it is important to find the molecular network of important genes related to pancreatic cancer. To find the key molecule of pancreatic cancer, differential gene expression analyses were analyzed by the Deseq2 package, edgeR package, and limma-voom package, respectively. Pancreatic cancer survival-related genes were analyzed by COX survival analysis. Finally, we integrated the results to obtain the significantly differentially expressed gene, MYEOV (myeloma overexpressed gene), most strongly related to survival in pancreatic cancer. Experimental verification by qRT-PCR confirmed that transcription levels of MYEOV mRNA markedly increased in pancreatic cancer cells relative to normal human pancreatic ductal epithelial cells (HPDE). Through the comprehensive analysis of multiple databases, we constructed a molecular network centered on MYEOV and found specific links between molecules in this network and tumor-associated immune cells. It was noted that MYEOV could serve as a ceRNA by producing molecular sponging effects on hsa-miR-103a-3p and hsa-miR-107, thus affecting the role of GPRC5A, SERPINB5, EGFR, KRAS, EIF4G2, and PDCD4 on pancreatic cancer progression. Besides, we also identified that infiltrated immune cells are potential mediators for the molecules in the MYEOV-related network to promote pancreatic cancer progression. It is the first report to focus on the possibility that MYEOV may act as a competing endogenous RNA (ceRNA) to form an interactive network with some pancreatic cancer-related genes such as KRAS and serve as a key therapeutic target of pancreatic cancer treatment. MDPI 2022-11-04 /pmc/articles/PMC9655857/ /pubmed/36358856 http://dx.doi.org/10.3390/cancers14215439 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
Chen, Yu
Wang, Jialun
Guo, Qiyuan
Li, Xihan
Zou, Xiaoping
Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer
title Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer
title_full Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer
title_fullStr Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer
title_full_unstemmed Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer
title_short Identification of MYEOV-Associated Gene Network as a Potential Therapeutic Target in Pancreatic Cancer
title_sort identification of myeov-associated gene network as a potential therapeutic target in pancreatic cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655857/
https://www.ncbi.nlm.nih.gov/pubmed/36358856
http://dx.doi.org/10.3390/cancers14215439
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