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Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis

The aim of the present study was to evaluate the potential network of arsenic trioxide (ATO) target genes in pancreatic cancer. The DrugBank, STITCH, cBioPortal, Kaplan-Meier plotter and Oncomine websites were used to analyze the association of ATO and its target genes with pancreatic cancer. Initia...

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Autores principales: Zhou, Cong-Ya, Gong, Liu-Yun, Liao, Rong, Weng, Ning-Na, Feng, Yao-Yue, Dong, Yi-Ping, Zhu, Hong, Zhao, Ya-Qin, Zhang, Yuan-Yuan, Zhu, Qing, Han, Su-Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781497/
https://www.ncbi.nlm.nih.gov/pubmed/31612027
http://dx.doi.org/10.3892/ol.2019.10889
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author Zhou, Cong-Ya
Gong, Liu-Yun
Liao, Rong
Weng, Ning-Na
Feng, Yao-Yue
Dong, Yi-Ping
Zhu, Hong
Zhao, Ya-Qin
Zhang, Yuan-Yuan
Zhu, Qing
Han, Su-Xia
author_facet Zhou, Cong-Ya
Gong, Liu-Yun
Liao, Rong
Weng, Ning-Na
Feng, Yao-Yue
Dong, Yi-Ping
Zhu, Hong
Zhao, Ya-Qin
Zhang, Yuan-Yuan
Zhu, Qing
Han, Su-Xia
author_sort Zhou, Cong-Ya
collection PubMed
description The aim of the present study was to evaluate the potential network of arsenic trioxide (ATO) target genes in pancreatic cancer. The DrugBank, STITCH, cBioPortal, Kaplan-Meier plotter and Oncomine websites were used to analyze the association of ATO and its target genes with pancreatic cancer. Initially, 19 ATO target genes were identified, along with their associated protein-protein interaction networks and Kyoto Encyclopedia of Genes and Genomes pathways. ATO was found to be associated with multiple types of cancer, and the most common solid cancer was pancreatic cancer. A total of 6 ATO target genes (namely AKT1, CCND1, CDKN2A, IKBKB, MAPK1 and MAPK3) were found to be associated with pancreatic cancer. Next, the mutation information of the 6 ATO target genes in pancreatic cancer was collected. A total of 20 ATO interacting genes were identified, which were mainly involved in hepatitis B, prostate cancer, pathways in cancer, glioma and chronic myeloid leukemia. Finally, the genes CCND1 and MAPK1 were detected to be prognostic factors in patients with pancreatic cancer. In conclusion, bioinformatics analysis may help elucidate the molecular mechanisms underlying the involvement of ATO in pancreatic cancer, enabling more effective treatment of this disease.
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spelling pubmed-67814972019-10-14 Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis Zhou, Cong-Ya Gong, Liu-Yun Liao, Rong Weng, Ning-Na Feng, Yao-Yue Dong, Yi-Ping Zhu, Hong Zhao, Ya-Qin Zhang, Yuan-Yuan Zhu, Qing Han, Su-Xia Oncol Lett Articles The aim of the present study was to evaluate the potential network of arsenic trioxide (ATO) target genes in pancreatic cancer. The DrugBank, STITCH, cBioPortal, Kaplan-Meier plotter and Oncomine websites were used to analyze the association of ATO and its target genes with pancreatic cancer. Initially, 19 ATO target genes were identified, along with their associated protein-protein interaction networks and Kyoto Encyclopedia of Genes and Genomes pathways. ATO was found to be associated with multiple types of cancer, and the most common solid cancer was pancreatic cancer. A total of 6 ATO target genes (namely AKT1, CCND1, CDKN2A, IKBKB, MAPK1 and MAPK3) were found to be associated with pancreatic cancer. Next, the mutation information of the 6 ATO target genes in pancreatic cancer was collected. A total of 20 ATO interacting genes were identified, which were mainly involved in hepatitis B, prostate cancer, pathways in cancer, glioma and chronic myeloid leukemia. Finally, the genes CCND1 and MAPK1 were detected to be prognostic factors in patients with pancreatic cancer. In conclusion, bioinformatics analysis may help elucidate the molecular mechanisms underlying the involvement of ATO in pancreatic cancer, enabling more effective treatment of this disease. D.A. Spandidos 2019-11 2019-09-19 /pmc/articles/PMC6781497/ /pubmed/31612027 http://dx.doi.org/10.3892/ol.2019.10889 Text en Copyright: © Zhou 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
Zhou, Cong-Ya
Gong, Liu-Yun
Liao, Rong
Weng, Ning-Na
Feng, Yao-Yue
Dong, Yi-Ping
Zhu, Hong
Zhao, Ya-Qin
Zhang, Yuan-Yuan
Zhu, Qing
Han, Su-Xia
Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
title Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
title_full Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
title_fullStr Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
title_full_unstemmed Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
title_short Evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
title_sort evaluation of the target genes of arsenic trioxide in pancreatic cancer by bioinformatics analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781497/
https://www.ncbi.nlm.nih.gov/pubmed/31612027
http://dx.doi.org/10.3892/ol.2019.10889
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