Constructing the Logical Regression Model to Predict the Target of Jianpi Jiedu Decoction in the Treatment of Hepatocellular Carcinoma
Objectives. The purpose of this study was to identify the molecular mechanism and prognosis-related genes of Jianpi Jiedu decoction in the treatment of hepatocellular carcinoma. Methods. The gene expression data of hepatocellular carcinoma samples and normal tissue samples were downloaded from TCGA...
Gespeichert in:
| Veröffentlicht in: | Evidence-based complementary and alternative medicine 2020, Vol.2020 (2020), p.1-12 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 12 |
|---|---|
| container_issue | 2020 |
| container_start_page | 1 |
| container_title | Evidence-based complementary and alternative medicine |
| container_volume | 2020 |
| creator | Li, Yue Sun, Baoguo Zhou, Ge Chen, Yan Zhang, Rongjie Chen, Zexiong |
| description | Objectives. The purpose of this study was to identify the molecular mechanism and prognosis-related genes of Jianpi Jiedu decoction in the treatment of hepatocellular carcinoma. Methods. The gene expression data of hepatocellular carcinoma samples and normal tissue samples were downloaded from TCGA database, and the potential targets of drug composition of Jianpi Jiedu decoction were obtained from TCMSP database. The genes were screened out in order to obtain the expression of these target genes in patients with hepatocellular carcinoma. The differential expression of target genes was analyzed by R software, and the genes related to prognosis were screened by univariate Cox regression analysis. Then, the LASSO model was constructed for risk assessment and survival analysis between different risk groups. At the same time, independent prognostic analysis, GSEA analysis, and prognostic analysis of single gene in patients with hepatocellular carcinoma were performed. Results. 174 compounds of traditional Chinese medicine were screened by TCMSP database, corresponding to 122 potential targets. 39 upregulated genes and 9 downregulated genes were screened out. A total of 20 candidate prognostic related genes were screened out by univariate Cox analysis, of which 12 prognostic genes were involved in the construction of the LASSO regression model. There was a significant difference in survival time between the high-risk group and low-risk group (p |
| doi_str_mv | 10.1155/2020/8859558 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7781689</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2476482605</sourcerecordid><originalsourceid>FETCH-LOGICAL-c471t-bada8f851d7c6c47e5853879b486024461099a43b69212530d7e0809306792313</originalsourceid><addsrcrecordid>eNqN0UuLFDEQB_BGFPehN88S8CKs4-bZSS6CjI9VRhRZwVvIpKt7svQkY5JW_AJ-bjMPx8fJU4Xklz9VVNM8IPgpIUJcUkzxpVJCC6FuNadEcjLjVKnbx7P8fNKc5XyDMdVSyrvNCWOccq3VafNjHkMuaXLFhwGVFaBFHLyzI_oIQ4KcfQzoXexgRCWiDwk678rOXds0QEGxR2-9DRtfC3QTegEu1rD6y4e9S2DLGsKOXsHGluhgHKfRJjS3yfkQ1_Zec6e3Y4b7h3refHr18np-NVu8f_1m_nwxc1ySMlvazqpeCdJJ19YrEEowJfWSqxZTzluCtbacLVtNCRUMdxKwwprhVmrKCDtvnu1zN9NyDZ2rbSU7mk3ya5u-m2i9-fsl-JUZ4lcjpSKt0jXg8SEgxS8T5GLWPm_nsQHilA3lslWCEskqffQPvYlTCnW8neKKtlhU9WSvXIo5J-iPzRBstgs22wWbw4Irf_jnAEf8a6MVXOzByofOfvP_GQfVQG9_ayIUoYr9BO-8t68</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2476482605</pqid></control><display><type>article</type><title>Constructing the Logical Regression Model to Predict the Target of Jianpi Jiedu Decoction in the Treatment of Hepatocellular Carcinoma</title><source>PubMed Central Open Access</source><source>Wiley Online Library Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Li, Yue ; Sun, Baoguo ; Zhou, Ge ; Chen, Yan ; Zhang, Rongjie ; Chen, Zexiong</creator><contributor>Liang, Zhaohui ; Zhaohui Liang</contributor><creatorcontrib>Li, Yue ; Sun, Baoguo ; Zhou, Ge ; Chen, Yan ; Zhang, Rongjie ; Chen, Zexiong ; Liang, Zhaohui ; Zhaohui Liang</creatorcontrib><description>Objectives. The purpose of this study was to identify the molecular mechanism and prognosis-related genes of Jianpi Jiedu decoction in the treatment of hepatocellular carcinoma. Methods. The gene expression data of hepatocellular carcinoma samples and normal tissue samples were downloaded from TCGA database, and the potential targets of drug composition of Jianpi Jiedu decoction were obtained from TCMSP database. The genes were screened out in order to obtain the expression of these target genes in patients with hepatocellular carcinoma. The differential expression of target genes was analyzed by R software, and the genes related to prognosis were screened by univariate Cox regression analysis. Then, the LASSO model was constructed for risk assessment and survival analysis between different risk groups. At the same time, independent prognostic analysis, GSEA analysis, and prognostic analysis of single gene in patients with hepatocellular carcinoma were performed. Results. 174 compounds of traditional Chinese medicine were screened by TCMSP database, corresponding to 122 potential targets. 39 upregulated genes and 9 downregulated genes were screened out. A total of 20 candidate prognostic related genes were screened out by univariate Cox analysis, of which 12 prognostic genes were involved in the construction of the LASSO regression model. There was a significant difference in survival time between the high-risk group and low-risk group (p<0.05). Among the genes related to prognosis, the expression levels of CCNB1, NQO1, NUF2, and CHEK1 were high in tumor tissues (p<0.05). Survival analysis showed that the high expression levels of these four genes were significantly correlated with poor prognosis of HCC (p<0.05). GSEA analysis showed that the main KEGG enrichment pathways were lysine degradation, folate carbon pool, citrate cycle, and transcription factors. Conclusions. In the study, we found that therapy target genes of Jianpi Jiedu decoction were mainly involved in metabolism and apoptosis in hepatocellular carcinoma, and there was a close relationship between the prognosis of hepatocellular carcinoma and the genes of CCNB1, NQO1, NUF2, and CHEK1.</description><identifier>ISSN: 1741-427X</identifier><identifier>EISSN: 1741-4288</identifier><identifier>DOI: 10.1155/2020/8859558</identifier><identifier>PMID: 33424998</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Apoptosis ; Carbon cycle ; Chinese medicine ; Citric acid ; Folic acid ; Gene expression ; Hepatocellular carcinoma ; Liver cancer ; Lysine ; Medical prognosis ; Patients ; Prognosis ; Quality of life ; Regression analysis ; Risk assessment ; Risk groups ; Software ; Survival ; Survival analysis ; Traditional Chinese medicine ; Transcription factors ; Tumors</subject><ispartof>Evidence-based complementary and alternative medicine, 2020, Vol.2020 (2020), p.1-12</ispartof><rights>Copyright © 2020 Rongjie Zhang et al.</rights><rights>Copyright © 2020 Rongjie Zhang 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 Rongjie Zhang et al. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-bada8f851d7c6c47e5853879b486024461099a43b69212530d7e0809306792313</citedby><cites>FETCH-LOGICAL-c471t-bada8f851d7c6c47e5853879b486024461099a43b69212530d7e0809306792313</cites><orcidid>0000-0002-4255-6280 ; 0000-0003-4464-9744 ; 0000-0003-4704-1216 ; 0000-0002-2589-7219 ; 0000-0003-0488-4918 ; 0000-0002-5316-4805</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/PMC7781689/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781689/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4009,27902,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33424998$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Liang, Zhaohui</contributor><contributor>Zhaohui Liang</contributor><creatorcontrib>Li, Yue</creatorcontrib><creatorcontrib>Sun, Baoguo</creatorcontrib><creatorcontrib>Zhou, Ge</creatorcontrib><creatorcontrib>Chen, Yan</creatorcontrib><creatorcontrib>Zhang, Rongjie</creatorcontrib><creatorcontrib>Chen, Zexiong</creatorcontrib><title>Constructing the Logical Regression Model to Predict the Target of Jianpi Jiedu Decoction in the Treatment of Hepatocellular Carcinoma</title><title>Evidence-based complementary and alternative medicine</title><addtitle>Evid Based Complement Alternat Med</addtitle><description>Objectives. The purpose of this study was to identify the molecular mechanism and prognosis-related genes of Jianpi Jiedu decoction in the treatment of hepatocellular carcinoma. Methods. The gene expression data of hepatocellular carcinoma samples and normal tissue samples were downloaded from TCGA database, and the potential targets of drug composition of Jianpi Jiedu decoction were obtained from TCMSP database. The genes were screened out in order to obtain the expression of these target genes in patients with hepatocellular carcinoma. The differential expression of target genes was analyzed by R software, and the genes related to prognosis were screened by univariate Cox regression analysis. Then, the LASSO model was constructed for risk assessment and survival analysis between different risk groups. At the same time, independent prognostic analysis, GSEA analysis, and prognostic analysis of single gene in patients with hepatocellular carcinoma were performed. Results. 174 compounds of traditional Chinese medicine were screened by TCMSP database, corresponding to 122 potential targets. 39 upregulated genes and 9 downregulated genes were screened out. A total of 20 candidate prognostic related genes were screened out by univariate Cox analysis, of which 12 prognostic genes were involved in the construction of the LASSO regression model. There was a significant difference in survival time between the high-risk group and low-risk group (p<0.05). Among the genes related to prognosis, the expression levels of CCNB1, NQO1, NUF2, and CHEK1 were high in tumor tissues (p<0.05). Survival analysis showed that the high expression levels of these four genes were significantly correlated with poor prognosis of HCC (p<0.05). GSEA analysis showed that the main KEGG enrichment pathways were lysine degradation, folate carbon pool, citrate cycle, and transcription factors. Conclusions. In the study, we found that therapy target genes of Jianpi Jiedu decoction were mainly involved in metabolism and apoptosis in hepatocellular carcinoma, and there was a close relationship between the prognosis of hepatocellular carcinoma and the genes of CCNB1, NQO1, NUF2, and CHEK1.</description><subject>Apoptosis</subject><subject>Carbon cycle</subject><subject>Chinese medicine</subject><subject>Citric acid</subject><subject>Folic acid</subject><subject>Gene expression</subject><subject>Hepatocellular carcinoma</subject><subject>Liver cancer</subject><subject>Lysine</subject><subject>Medical prognosis</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Quality of life</subject><subject>Regression analysis</subject><subject>Risk assessment</subject><subject>Risk groups</subject><subject>Software</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>Traditional Chinese medicine</subject><subject>Transcription factors</subject><subject>Tumors</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>eNqN0UuLFDEQB_BGFPehN88S8CKs4-bZSS6CjI9VRhRZwVvIpKt7svQkY5JW_AJ-bjMPx8fJU4Xklz9VVNM8IPgpIUJcUkzxpVJCC6FuNadEcjLjVKnbx7P8fNKc5XyDMdVSyrvNCWOccq3VafNjHkMuaXLFhwGVFaBFHLyzI_oIQ4KcfQzoXexgRCWiDwk678rOXds0QEGxR2-9DRtfC3QTegEu1rD6y4e9S2DLGsKOXsHGluhgHKfRJjS3yfkQ1_Zec6e3Y4b7h3refHr18np-NVu8f_1m_nwxc1ySMlvazqpeCdJJ19YrEEowJfWSqxZTzluCtbacLVtNCRUMdxKwwprhVmrKCDtvnu1zN9NyDZ2rbSU7mk3ya5u-m2i9-fsl-JUZ4lcjpSKt0jXg8SEgxS8T5GLWPm_nsQHilA3lslWCEskqffQPvYlTCnW8neKKtlhU9WSvXIo5J-iPzRBstgs22wWbw4Irf_jnAEf8a6MVXOzByofOfvP_GQfVQG9_ayIUoYr9BO-8t68</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Li, Yue</creator><creator>Sun, Baoguo</creator><creator>Zhou, Ge</creator><creator>Chen, Yan</creator><creator>Zhang, Rongjie</creator><creator>Chen, Zexiong</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>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/0000-0002-4255-6280</orcidid><orcidid>https://orcid.org/0000-0003-4464-9744</orcidid><orcidid>https://orcid.org/0000-0003-4704-1216</orcidid><orcidid>https://orcid.org/0000-0002-2589-7219</orcidid><orcidid>https://orcid.org/0000-0003-0488-4918</orcidid><orcidid>https://orcid.org/0000-0002-5316-4805</orcidid></search><sort><creationdate>2020</creationdate><title>Constructing the Logical Regression Model to Predict the Target of Jianpi Jiedu Decoction in the Treatment of Hepatocellular Carcinoma</title><author>Li, Yue ; Sun, Baoguo ; Zhou, Ge ; Chen, Yan ; Zhang, Rongjie ; Chen, Zexiong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-bada8f851d7c6c47e5853879b486024461099a43b69212530d7e0809306792313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Apoptosis</topic><topic>Carbon cycle</topic><topic>Chinese medicine</topic><topic>Citric acid</topic><topic>Folic acid</topic><topic>Gene expression</topic><topic>Hepatocellular carcinoma</topic><topic>Liver cancer</topic><topic>Lysine</topic><topic>Medical prognosis</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Quality of life</topic><topic>Regression analysis</topic><topic>Risk assessment</topic><topic>Risk groups</topic><topic>Software</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>Traditional Chinese medicine</topic><topic>Transcription factors</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yue</creatorcontrib><creatorcontrib>Sun, Baoguo</creatorcontrib><creatorcontrib>Zhou, Ge</creatorcontrib><creatorcontrib>Chen, Yan</creatorcontrib><creatorcontrib>Zhang, Rongjie</creatorcontrib><creatorcontrib>Chen, Zexiong</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>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>ProQuest Psychology</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>Li, Yue</au><au>Sun, Baoguo</au><au>Zhou, Ge</au><au>Chen, Yan</au><au>Zhang, Rongjie</au><au>Chen, Zexiong</au><au>Liang, Zhaohui</au><au>Zhaohui Liang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Constructing the Logical Regression Model to Predict the Target of Jianpi Jiedu Decoction in the Treatment of Hepatocellular Carcinoma</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>12</epage><pages>1-12</pages><issn>1741-427X</issn><eissn>1741-4288</eissn><abstract>Objectives. The purpose of this study was to identify the molecular mechanism and prognosis-related genes of Jianpi Jiedu decoction in the treatment of hepatocellular carcinoma. Methods. The gene expression data of hepatocellular carcinoma samples and normal tissue samples were downloaded from TCGA database, and the potential targets of drug composition of Jianpi Jiedu decoction were obtained from TCMSP database. The genes were screened out in order to obtain the expression of these target genes in patients with hepatocellular carcinoma. The differential expression of target genes was analyzed by R software, and the genes related to prognosis were screened by univariate Cox regression analysis. Then, the LASSO model was constructed for risk assessment and survival analysis between different risk groups. At the same time, independent prognostic analysis, GSEA analysis, and prognostic analysis of single gene in patients with hepatocellular carcinoma were performed. Results. 174 compounds of traditional Chinese medicine were screened by TCMSP database, corresponding to 122 potential targets. 39 upregulated genes and 9 downregulated genes were screened out. A total of 20 candidate prognostic related genes were screened out by univariate Cox analysis, of which 12 prognostic genes were involved in the construction of the LASSO regression model. There was a significant difference in survival time between the high-risk group and low-risk group (p<0.05). Among the genes related to prognosis, the expression levels of CCNB1, NQO1, NUF2, and CHEK1 were high in tumor tissues (p<0.05). Survival analysis showed that the high expression levels of these four genes were significantly correlated with poor prognosis of HCC (p<0.05). GSEA analysis showed that the main KEGG enrichment pathways were lysine degradation, folate carbon pool, citrate cycle, and transcription factors. Conclusions. In the study, we found that therapy target genes of Jianpi Jiedu decoction were mainly involved in metabolism and apoptosis in hepatocellular carcinoma, and there was a close relationship between the prognosis of hepatocellular carcinoma and the genes of CCNB1, NQO1, NUF2, and CHEK1.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>33424998</pmid><doi>10.1155/2020/8859558</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4255-6280</orcidid><orcidid>https://orcid.org/0000-0003-4464-9744</orcidid><orcidid>https://orcid.org/0000-0003-4704-1216</orcidid><orcidid>https://orcid.org/0000-0002-2589-7219</orcidid><orcidid>https://orcid.org/0000-0003-0488-4918</orcidid><orcidid>https://orcid.org/0000-0002-5316-4805</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1741-427X |
| ispartof | Evidence-based complementary and alternative medicine, 2020, Vol.2020 (2020), p.1-12 |
| issn | 1741-427X 1741-4288 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7781689 |
| source | PubMed Central Open Access; Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Apoptosis Carbon cycle Chinese medicine Citric acid Folic acid Gene expression Hepatocellular carcinoma Liver cancer Lysine Medical prognosis Patients Prognosis Quality of life Regression analysis Risk assessment Risk groups Software Survival Survival analysis Traditional Chinese medicine Transcription factors Tumors |
| title | Constructing the Logical Regression Model to Predict the Target of Jianpi Jiedu Decoction in the Treatment of Hepatocellular Carcinoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T06%3A25%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Constructing%20the%20Logical%20Regression%20Model%20to%20Predict%20the%20Target%20of%20Jianpi%20Jiedu%20Decoction%20in%20the%20Treatment%20of%20Hepatocellular%20Carcinoma&rft.jtitle=Evidence-based%20complementary%20and%20alternative%20medicine&rft.au=Li,%20Yue&rft.date=2020&rft.volume=2020&rft.issue=2020&rft.spage=1&rft.epage=12&rft.pages=1-12&rft.issn=1741-427X&rft.eissn=1741-4288&rft_id=info:doi/10.1155/2020/8859558&rft_dat=%3Cproquest_pubme%3E2476482605%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2476482605&rft_id=info:pmid/33424998&rfr_iscdi=true |