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Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma

BACKGROUND: The anti-tumor properties of curcumin have been demonstrated for many types of cancer. However, a systematic functional and biological analysis of its target proteins has yet to be fully documented. The aim of this study was to explore the underlying mechanisms of curcumin and broaden th...

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Autores principales: Zhao, Yuanyuan, Tao, Jiahao, Chen, Zhuangzhong, Li, Suihui, Liu, Zeyu, Lin, Lizhu, Zhai, Linzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555505/
https://www.ncbi.nlm.nih.gov/pubmed/34754622
http://dx.doi.org/10.7717/peerj.12339
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author Zhao, Yuanyuan
Tao, Jiahao
Chen, Zhuangzhong
Li, Suihui
Liu, Zeyu
Lin, Lizhu
Zhai, Linzhu
author_facet Zhao, Yuanyuan
Tao, Jiahao
Chen, Zhuangzhong
Li, Suihui
Liu, Zeyu
Lin, Lizhu
Zhai, Linzhu
author_sort Zhao, Yuanyuan
collection PubMed
description BACKGROUND: The anti-tumor properties of curcumin have been demonstrated for many types of cancer. However, a systematic functional and biological analysis of its target proteins has yet to be fully documented. The aim of this study was to explore the underlying mechanisms of curcumin and broaden the perspective of targeted therapies. METHODS: Direct protein targets (DPTs) of curcumin were searched in the DrugBank database. Using the STRING database, the interactions between curcumin and DPTs and indirect protein targets (IPTs) weres documented. The protein–protein interaction (PPI) network of curcumin-mediated proteins was visualized using Cytoscape. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed for all curcumin-mediated proteins. Furthermore, the cancer targets were searched in the Comparative Toxicogenomics Database (CTD). The overlapping targets were studied using Kaplan–Meier analysis to evaluate cancer survival. Further genomic analysis of overlapping genes was conducted using the cBioPortal database. Lastly, MTT, quantitative polymerase chain reaction (qPCR), and western blot (WB) analysis were used to validate the predicted results on hepatocellular carcinoma (HCC) cells. RESULTS: A total of five DPTs and 199 IPTs were found. These protein targets were found in 121 molecular pathways analyzed via KEGG enrichment. Based on the anti-tumor properties of curcumin, two pathways were selected, including pathways in cancer (36 genes) and HCC (22 genes). Overlapping with 505 HCC-related gene sets identified in CTD, five genes (TP53, RB1, TGFB1, GSTP1, and GSTM1) were finally identified. High mRNA levels of TP53, RB1, and GSTM1 indicated a prolonged overall survival (OS) in HCC, whereas elevated mRNA levels of TGFB1 were correlated with poor prognosis. The viability of both HepG2 cells and Hep3B cells was significantly reduced by curcumin at concentrations of 20 or 30 μM after 48 or 72 h of culture. At a concentration of 20 μM curcumin cultured for 48 h, the expression of TGFB1 and GSTP1 in Hep3B cells was reduced significantly in qPCR analysis, and reduced TGFB1 protein expression was also found in Hep3B cells.
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spelling pubmed-85555052021-11-08 Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma Zhao, Yuanyuan Tao, Jiahao Chen, Zhuangzhong Li, Suihui Liu, Zeyu Lin, Lizhu Zhai, Linzhu PeerJ Bioinformatics BACKGROUND: The anti-tumor properties of curcumin have been demonstrated for many types of cancer. However, a systematic functional and biological analysis of its target proteins has yet to be fully documented. The aim of this study was to explore the underlying mechanisms of curcumin and broaden the perspective of targeted therapies. METHODS: Direct protein targets (DPTs) of curcumin were searched in the DrugBank database. Using the STRING database, the interactions between curcumin and DPTs and indirect protein targets (IPTs) weres documented. The protein–protein interaction (PPI) network of curcumin-mediated proteins was visualized using Cytoscape. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed for all curcumin-mediated proteins. Furthermore, the cancer targets were searched in the Comparative Toxicogenomics Database (CTD). The overlapping targets were studied using Kaplan–Meier analysis to evaluate cancer survival. Further genomic analysis of overlapping genes was conducted using the cBioPortal database. Lastly, MTT, quantitative polymerase chain reaction (qPCR), and western blot (WB) analysis were used to validate the predicted results on hepatocellular carcinoma (HCC) cells. RESULTS: A total of five DPTs and 199 IPTs were found. These protein targets were found in 121 molecular pathways analyzed via KEGG enrichment. Based on the anti-tumor properties of curcumin, two pathways were selected, including pathways in cancer (36 genes) and HCC (22 genes). Overlapping with 505 HCC-related gene sets identified in CTD, five genes (TP53, RB1, TGFB1, GSTP1, and GSTM1) were finally identified. High mRNA levels of TP53, RB1, and GSTM1 indicated a prolonged overall survival (OS) in HCC, whereas elevated mRNA levels of TGFB1 were correlated with poor prognosis. The viability of both HepG2 cells and Hep3B cells was significantly reduced by curcumin at concentrations of 20 or 30 μM after 48 or 72 h of culture. At a concentration of 20 μM curcumin cultured for 48 h, the expression of TGFB1 and GSTP1 in Hep3B cells was reduced significantly in qPCR analysis, and reduced TGFB1 protein expression was also found in Hep3B cells. PeerJ Inc. 2021-10-26 /pmc/articles/PMC8555505/ /pubmed/34754622 http://dx.doi.org/10.7717/peerj.12339 Text en © 2021 Zhao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhao, Yuanyuan
Tao, Jiahao
Chen, Zhuangzhong
Li, Suihui
Liu, Zeyu
Lin, Lizhu
Zhai, Linzhu
Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
title Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
title_full Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
title_fullStr Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
title_full_unstemmed Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
title_short Functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
title_sort functional drug–target–disease network analysis of gene–phenotype connectivity for curcumin in hepatocellular carcinoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555505/
https://www.ncbi.nlm.nih.gov/pubmed/34754622
http://dx.doi.org/10.7717/peerj.12339
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