Systematically Exploring the Antitumor Mechanisms of Core Chinese Herbs on Hepatocellular Carcinoma: A Computational Study
Objective. Chinese herbs play a positive role in the management of hepatocellular carcinoma (HCC) in China. However, it is not clear which of Chinese herbs are critical for the treatment of HCC. Besides, mechanisms of CCHs in the treatment of HCC remain unclear. Hence, our goal is to identify the co...
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| description | Objective. Chinese herbs play a positive role in the management of hepatocellular carcinoma (HCC) in China. However, it is not clear which of Chinese herbs are critical for the treatment of HCC. Besides, mechanisms of CCHs in the treatment of HCC remain unclear. Hence, our goal is to identify the core Chinese herbs (CCHs) for treating HCC and explore their antitumor mechanism. Methods. Firstly, clinical traditional Chinese medicine (TCM) prescriptions for HCC were collected from Chinese National Knowledge Infrastructure (CNKI) database, and then, data mining software was used to identify CCHs. After that, bioactive compounds and corresponding target genes of CCHs were obtained using three TCM databases, and target genes of HCC were acquired from MalaCards and OMIM. Subsequently, common target genes of CCHs and HCC were screened. Moreover, biological functions and pathways were analyzed, and Cytoscape plugin cytoHubba was used to identify hub genes. Finally, prognostic values of hub genes were verified by survival analysis, and the molecular docking approach was utilized to validate the interactions between targets and bioactive compounds of CCHs. Results. Eight CCHs were determined from 630 prescriptions, and 100 bioactive compounds (e.g., quercetin and luteolin) and 126 common target genes were screened. Furthermore, common target genes of CCHs and HCC were mainly enriched in cancer-associated pathways, and six hub genes with statistical significance in survival analysis were selected as key target genes for molecular docking. Additionally, molecular docking showed that the bioactive compounds docked well with the protein receptors of key target genes. Conclusion. By combining data mining, network pharmacology, molecular docking, and survival analysis methods, we found that CCHs may play a therapeutic role in HCC through regulating the target genes and pathways related to cancer occurrence and development, angiogenesis, metastasis, and prognosis. |
| doi_str_mv | 10.1155/2020/2396569 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7512071</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2448637736</sourcerecordid><originalsourceid>FETCH-LOGICAL-c471t-3e2a081c9d78a7b0c9040a70b7840db7d2ecf15b865408fa04327fc2ab8d56e83</originalsourceid><addsrcrecordid>eNqNkU1v1DAQhi1ERUvhxhlZ4oIES23HiR0OSKuotJWKOBQkbtbEcbquEju1Hdrl1-PtLsvHiZNH9uN3ZvQg9IKSd5SW5QkjjJywoq7Kqn6EjqjgdMGZlI_3tfh2iJ7GeEMIq4UQT9BhURDKSV0foR9X65jMCMlqGIY1Pr2fBh-su8ZpZfDSJZvm0Qf8yegVOBvHiH2PGx8MblbWmWjwuQltvnW5mCB5bYZhHiDgBoK2zo_wHi_zj3GaU27jHQz4Ks3d-hk66GGI5vnuPEZfP55-ac4Xl5_PLprl5UJzQdOiMAyIpLruhATREl0TTkCQVkhOulZ0zOielq2sSk5kD4QXTPSaQSu7sjKyOEYftrnT3I6m08alAIOagh0hrJUHq_5-cXalrv13JUrKiKA54PUuIPjb2cSkRhs3a4Izfo6KcS6rQoiiyuirf9AbP4e88gNVcZmV8Ey93VI6-BiD6ffDUKI2UtVGqtpJzfjLPxfYw78sZuDNFshGOriz_xmXtefe8JvOKJVl8RMq-7Vi</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2446481744</pqid></control><display><type>article</type><title>Systematically Exploring the Antitumor Mechanisms of Core Chinese Herbs on Hepatocellular Carcinoma: A Computational Study</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>Wiley-Blackwell Open Access Titles</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Peng, Lisheng ; Wang, Lianan ; He, Li ; Wu, Zhulin</creator><contributor>Mahajna, Jamal A. ; Jamal A Mahajna</contributor><creatorcontrib>Peng, Lisheng ; Wang, Lianan ; He, Li ; Wu, Zhulin ; Mahajna, Jamal A. ; Jamal A Mahajna</creatorcontrib><description>Objective. Chinese herbs play a positive role in the management of hepatocellular carcinoma (HCC) in China. However, it is not clear which of Chinese herbs are critical for the treatment of HCC. Besides, mechanisms of CCHs in the treatment of HCC remain unclear. Hence, our goal is to identify the core Chinese herbs (CCHs) for treating HCC and explore their antitumor mechanism. Methods. Firstly, clinical traditional Chinese medicine (TCM) prescriptions for HCC were collected from Chinese National Knowledge Infrastructure (CNKI) database, and then, data mining software was used to identify CCHs. After that, bioactive compounds and corresponding target genes of CCHs were obtained using three TCM databases, and target genes of HCC were acquired from MalaCards and OMIM. Subsequently, common target genes of CCHs and HCC were screened. Moreover, biological functions and pathways were analyzed, and Cytoscape plugin cytoHubba was used to identify hub genes. Finally, prognostic values of hub genes were verified by survival analysis, and the molecular docking approach was utilized to validate the interactions between targets and bioactive compounds of CCHs. Results. Eight CCHs were determined from 630 prescriptions, and 100 bioactive compounds (e.g., quercetin and luteolin) and 126 common target genes were screened. Furthermore, common target genes of CCHs and HCC were mainly enriched in cancer-associated pathways, and six hub genes with statistical significance in survival analysis were selected as key target genes for molecular docking. Additionally, molecular docking showed that the bioactive compounds docked well with the protein receptors of key target genes. Conclusion. By combining data mining, network pharmacology, molecular docking, and survival analysis methods, we found that CCHs may play a therapeutic role in HCC through regulating the target genes and pathways related to cancer occurrence and development, angiogenesis, metastasis, and prognosis.</description><identifier>ISSN: 1741-427X</identifier><identifier>EISSN: 1741-4288</identifier><identifier>DOI: 10.1155/2020/2396569</identifier><identifier>PMID: 33014099</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Angiogenesis ; Antitumor activity ; Bioactive compounds ; Cancer therapies ; Chemotherapy ; Chinese medicine ; Computer applications ; Data mining ; Genes ; Genomics ; Hepatitis ; Hepatocellular carcinoma ; Herbs ; Ligands ; Liver cancer ; Liver diseases ; Medical research ; Metastases ; Ontology ; Pharmacology ; Prescriptions ; Proteins ; Quercetin ; Software ; Survival ; Survival analysis ; Traditional Chinese medicine</subject><ispartof>Evidence-based complementary and alternative medicine, 2020, Vol.2020 (2020), p.1-13</ispartof><rights>Copyright © 2020 Zhulin Wu et al.</rights><rights>Copyright © 2020 Zhulin Wu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2020 Zhulin Wu et al. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-3e2a081c9d78a7b0c9040a70b7840db7d2ecf15b865408fa04327fc2ab8d56e83</citedby><cites>FETCH-LOGICAL-c471t-3e2a081c9d78a7b0c9040a70b7840db7d2ecf15b865408fa04327fc2ab8d56e83</cites><orcidid>0000-0002-5530-1738</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512071/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512071/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4014,27914,27915,27916,53782,53784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33014099$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Mahajna, Jamal A.</contributor><contributor>Jamal A Mahajna</contributor><creatorcontrib>Peng, Lisheng</creatorcontrib><creatorcontrib>Wang, Lianan</creatorcontrib><creatorcontrib>He, Li</creatorcontrib><creatorcontrib>Wu, Zhulin</creatorcontrib><title>Systematically Exploring the Antitumor Mechanisms of Core Chinese Herbs on Hepatocellular Carcinoma: A Computational Study</title><title>Evidence-based complementary and alternative medicine</title><addtitle>Evid Based Complement Alternat Med</addtitle><description>Objective. Chinese herbs play a positive role in the management of hepatocellular carcinoma (HCC) in China. However, it is not clear which of Chinese herbs are critical for the treatment of HCC. Besides, mechanisms of CCHs in the treatment of HCC remain unclear. Hence, our goal is to identify the core Chinese herbs (CCHs) for treating HCC and explore their antitumor mechanism. Methods. Firstly, clinical traditional Chinese medicine (TCM) prescriptions for HCC were collected from Chinese National Knowledge Infrastructure (CNKI) database, and then, data mining software was used to identify CCHs. After that, bioactive compounds and corresponding target genes of CCHs were obtained using three TCM databases, and target genes of HCC were acquired from MalaCards and OMIM. Subsequently, common target genes of CCHs and HCC were screened. Moreover, biological functions and pathways were analyzed, and Cytoscape plugin cytoHubba was used to identify hub genes. Finally, prognostic values of hub genes were verified by survival analysis, and the molecular docking approach was utilized to validate the interactions between targets and bioactive compounds of CCHs. Results. Eight CCHs were determined from 630 prescriptions, and 100 bioactive compounds (e.g., quercetin and luteolin) and 126 common target genes were screened. Furthermore, common target genes of CCHs and HCC were mainly enriched in cancer-associated pathways, and six hub genes with statistical significance in survival analysis were selected as key target genes for molecular docking. Additionally, molecular docking showed that the bioactive compounds docked well with the protein receptors of key target genes. Conclusion. By combining data mining, network pharmacology, molecular docking, and survival analysis methods, we found that CCHs may play a therapeutic role in HCC through regulating the target genes and pathways related to cancer occurrence and development, angiogenesis, metastasis, and prognosis.</description><subject>Algorithms</subject><subject>Angiogenesis</subject><subject>Antitumor activity</subject><subject>Bioactive compounds</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Chinese medicine</subject><subject>Computer applications</subject><subject>Data mining</subject><subject>Genes</subject><subject>Genomics</subject><subject>Hepatitis</subject><subject>Hepatocellular carcinoma</subject><subject>Herbs</subject><subject>Ligands</subject><subject>Liver cancer</subject><subject>Liver diseases</subject><subject>Medical research</subject><subject>Metastases</subject><subject>Ontology</subject><subject>Pharmacology</subject><subject>Prescriptions</subject><subject>Proteins</subject><subject>Quercetin</subject><subject>Software</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>Traditional Chinese medicine</subject><issn>1741-427X</issn><issn>1741-4288</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1v1DAQhi1ERUvhxhlZ4oIES23HiR0OSKuotJWKOBQkbtbEcbquEju1Hdrl1-PtLsvHiZNH9uN3ZvQg9IKSd5SW5QkjjJywoq7Kqn6EjqjgdMGZlI_3tfh2iJ7GeEMIq4UQT9BhURDKSV0foR9X65jMCMlqGIY1Pr2fBh-su8ZpZfDSJZvm0Qf8yegVOBvHiH2PGx8MblbWmWjwuQltvnW5mCB5bYZhHiDgBoK2zo_wHi_zj3GaU27jHQz4Ks3d-hk66GGI5vnuPEZfP55-ac4Xl5_PLprl5UJzQdOiMAyIpLruhATREl0TTkCQVkhOulZ0zOielq2sSk5kD4QXTPSaQSu7sjKyOEYftrnT3I6m08alAIOagh0hrJUHq_5-cXalrv13JUrKiKA54PUuIPjb2cSkRhs3a4Izfo6KcS6rQoiiyuirf9AbP4e88gNVcZmV8Ey93VI6-BiD6ffDUKI2UtVGqtpJzfjLPxfYw78sZuDNFshGOriz_xmXtefe8JvOKJVl8RMq-7Vi</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Peng, Lisheng</creator><creator>Wang, Lianan</creator><creator>He, Li</creator><creator>Wu, Zhulin</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5530-1738</orcidid></search><sort><creationdate>2020</creationdate><title>Systematically Exploring the Antitumor Mechanisms of Core Chinese Herbs on Hepatocellular Carcinoma: A Computational Study</title><author>Peng, Lisheng ; Wang, Lianan ; He, Li ; Wu, Zhulin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-3e2a081c9d78a7b0c9040a70b7840db7d2ecf15b865408fa04327fc2ab8d56e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Angiogenesis</topic><topic>Antitumor activity</topic><topic>Bioactive compounds</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Chinese medicine</topic><topic>Computer applications</topic><topic>Data mining</topic><topic>Genes</topic><topic>Genomics</topic><topic>Hepatitis</topic><topic>Hepatocellular carcinoma</topic><topic>Herbs</topic><topic>Ligands</topic><topic>Liver cancer</topic><topic>Liver diseases</topic><topic>Medical research</topic><topic>Metastases</topic><topic>Ontology</topic><topic>Pharmacology</topic><topic>Prescriptions</topic><topic>Proteins</topic><topic>Quercetin</topic><topic>Software</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>Traditional Chinese medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Lisheng</creatorcontrib><creatorcontrib>Wang, Lianan</creatorcontrib><creatorcontrib>He, Li</creatorcontrib><creatorcontrib>Wu, Zhulin</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Evidence-based complementary and alternative medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Lisheng</au><au>Wang, Lianan</au><au>He, Li</au><au>Wu, Zhulin</au><au>Mahajna, Jamal A.</au><au>Jamal A Mahajna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematically Exploring the Antitumor Mechanisms of Core Chinese Herbs on Hepatocellular Carcinoma: A Computational Study</atitle><jtitle>Evidence-based complementary and alternative medicine</jtitle><addtitle>Evid Based Complement Alternat Med</addtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>13</epage><pages>1-13</pages><issn>1741-427X</issn><eissn>1741-4288</eissn><abstract>Objective. Chinese herbs play a positive role in the management of hepatocellular carcinoma (HCC) in China. However, it is not clear which of Chinese herbs are critical for the treatment of HCC. Besides, mechanisms of CCHs in the treatment of HCC remain unclear. Hence, our goal is to identify the core Chinese herbs (CCHs) for treating HCC and explore their antitumor mechanism. Methods. Firstly, clinical traditional Chinese medicine (TCM) prescriptions for HCC were collected from Chinese National Knowledge Infrastructure (CNKI) database, and then, data mining software was used to identify CCHs. After that, bioactive compounds and corresponding target genes of CCHs were obtained using three TCM databases, and target genes of HCC were acquired from MalaCards and OMIM. Subsequently, common target genes of CCHs and HCC were screened. Moreover, biological functions and pathways were analyzed, and Cytoscape plugin cytoHubba was used to identify hub genes. Finally, prognostic values of hub genes were verified by survival analysis, and the molecular docking approach was utilized to validate the interactions between targets and bioactive compounds of CCHs. Results. Eight CCHs were determined from 630 prescriptions, and 100 bioactive compounds (e.g., quercetin and luteolin) and 126 common target genes were screened. Furthermore, common target genes of CCHs and HCC were mainly enriched in cancer-associated pathways, and six hub genes with statistical significance in survival analysis were selected as key target genes for molecular docking. Additionally, molecular docking showed that the bioactive compounds docked well with the protein receptors of key target genes. Conclusion. By combining data mining, network pharmacology, molecular docking, and survival analysis methods, we found that CCHs may play a therapeutic role in HCC through regulating the target genes and pathways related to cancer occurrence and development, angiogenesis, metastasis, and prognosis.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>33014099</pmid><doi>10.1155/2020/2396569</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-5530-1738</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Angiogenesis Antitumor activity Bioactive compounds Cancer therapies Chemotherapy Chinese medicine Computer applications Data mining Genes Genomics Hepatitis Hepatocellular carcinoma Herbs Ligands Liver cancer Liver diseases Medical research Metastases Ontology Pharmacology Prescriptions Proteins Quercetin Software Survival Survival analysis Traditional Chinese medicine |
| title | Systematically Exploring the Antitumor Mechanisms of Core Chinese Herbs on Hepatocellular Carcinoma: A Computational Study |
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