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Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map

Gastric adenocarcinoma (GAC) is a challenging disease with dim prognosis even after surgery; hence, novel treatments for GAC are in urgent need. The aim of the present study was to explore new potential compounds interfering with the key pathways related to GAC progression. The differentially expres...

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Autores principales: Chen, Zu-Xuan, Zou, Xiao-Ping, Yan, Huang-Qun, Zhang, Rui, Pang, Jin-Shu, Qin, Xin-Gan, He, Rong-Quan, Ma, Jie, Feng, Zhen-Bo, Chen, Gang, Gan, Ting-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323227/
https://www.ncbi.nlm.nih.gov/pubmed/30569111
http://dx.doi.org/10.3892/mmr.2018.9758
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author Chen, Zu-Xuan
Zou, Xiao-Ping
Yan, Huang-Qun
Zhang, Rui
Pang, Jin-Shu
Qin, Xin-Gan
He, Rong-Quan
Ma, Jie
Feng, Zhen-Bo
Chen, Gang
Gan, Ting-Qing
author_facet Chen, Zu-Xuan
Zou, Xiao-Ping
Yan, Huang-Qun
Zhang, Rui
Pang, Jin-Shu
Qin, Xin-Gan
He, Rong-Quan
Ma, Jie
Feng, Zhen-Bo
Chen, Gang
Gan, Ting-Qing
author_sort Chen, Zu-Xuan
collection PubMed
description Gastric adenocarcinoma (GAC) is a challenging disease with dim prognosis even after surgery; hence, novel treatments for GAC are in urgent need. The aim of the present study was to explore new potential compounds interfering with the key pathways related to GAC progression. The differentially expressed genes (DEGs) between GAC and adjacent tissues were identified from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) database. Connectivity Map (CMap) was performed to screen candidate compounds for treating GAC. Subsequently, pathways affected by compounds were overlapped with those enriched by the DEGs to further identify compounds which had anti-GAC potential. A total of 843 DEGs of GAC were identified. Via Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, 13 pathways were significantly enriched. Moreover, 78 compounds with markedly negative correlations with DEGs were revealed in CMap database (P<0.05 and Enrichment <0). Subpathways of cell cycle and p53 signaling pathways, and core genes of these compounds, cyclin B1 (CCNB1) and CDC6, were identified. This study further revealed seven compounds that may be effective against GAC; in particular methylbenzethonium chloride and alexidine have never yet been reported for GAC treatment. In brief, the candidate drugs identified in this study may provide new options to improve the treatment of patients with GAC. However, the biological effects of these drugs need further investigation.
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spelling pubmed-63232272019-01-15 Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map Chen, Zu-Xuan Zou, Xiao-Ping Yan, Huang-Qun Zhang, Rui Pang, Jin-Shu Qin, Xin-Gan He, Rong-Quan Ma, Jie Feng, Zhen-Bo Chen, Gang Gan, Ting-Qing Mol Med Rep Articles Gastric adenocarcinoma (GAC) is a challenging disease with dim prognosis even after surgery; hence, novel treatments for GAC are in urgent need. The aim of the present study was to explore new potential compounds interfering with the key pathways related to GAC progression. The differentially expressed genes (DEGs) between GAC and adjacent tissues were identified from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) database. Connectivity Map (CMap) was performed to screen candidate compounds for treating GAC. Subsequently, pathways affected by compounds were overlapped with those enriched by the DEGs to further identify compounds which had anti-GAC potential. A total of 843 DEGs of GAC were identified. Via Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, 13 pathways were significantly enriched. Moreover, 78 compounds with markedly negative correlations with DEGs were revealed in CMap database (P<0.05 and Enrichment <0). Subpathways of cell cycle and p53 signaling pathways, and core genes of these compounds, cyclin B1 (CCNB1) and CDC6, were identified. This study further revealed seven compounds that may be effective against GAC; in particular methylbenzethonium chloride and alexidine have never yet been reported for GAC treatment. In brief, the candidate drugs identified in this study may provide new options to improve the treatment of patients with GAC. However, the biological effects of these drugs need further investigation. D.A. Spandidos 2019-02 2018-12-13 /pmc/articles/PMC6323227/ /pubmed/30569111 http://dx.doi.org/10.3892/mmr.2018.9758 Text en Copyright: © Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Chen, Zu-Xuan
Zou, Xiao-Ping
Yan, Huang-Qun
Zhang, Rui
Pang, Jin-Shu
Qin, Xin-Gan
He, Rong-Quan
Ma, Jie
Feng, Zhen-Bo
Chen, Gang
Gan, Ting-Qing
Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
title Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
title_full Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
title_fullStr Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
title_full_unstemmed Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
title_short Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
title_sort identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323227/
https://www.ncbi.nlm.nih.gov/pubmed/30569111
http://dx.doi.org/10.3892/mmr.2018.9758
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