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Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma
We aimed to explore the crucial miRNA-mRNA axis through bioinformatics analysis and provide evidences for the development of pathophysiological mechanisms and new therapies for HBV-related HCC. MiRNA (GSE76903) and mRNA (GSE77509) dataset were used to screen differentially expressed miRNAs (DE-miRNA...
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| Published in: | International journal of medical sciences 2021-01, Vol.18 (2), p.335-346 |
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| container_end_page | 346 |
| container_issue | 2 |
| container_start_page | 335 |
| container_title | International journal of medical sciences |
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| creator | Huang, Dan-Ping Zeng, Yi-Hao Yuan, Wei-Qu Huang, Xiu-Fang Chen, Sheng-Qian Wang, Mu-Yao Qiu, Yi-Jun Tong, Guang-Dong |
| description | We aimed to explore the crucial miRNA-mRNA axis through bioinformatics analysis and provide evidences for the development of pathophysiological mechanisms and new therapies for HBV-related HCC.
MiRNA (GSE76903) and mRNA (GSE77509) dataset were used to screen differentially expressed miRNAs (DE-miRNAs) and differentially expressed mRNAs (DE-mRNAs) using R software. Overlapping genes between DE-mRNAs and target genes of DE-miRNAs were identified as candidate genes. Hub genes were obtained via cytohubba analysis. The expression at protein and mRNA levels and prognostic value of hub genes were evaluated based on The Cancer Genome Atlas (TCGA) data. Key miRNA-mRNA axes were constructed according to predicted miRNA-mRNA pairs. MiRNA expression and prognostic role were respectively identified using starBase v3.0 and Kaplan-Meier plotter database. Real-time PCR was performed to verify the expression of crucial miRNAs and mRNAs. Coexpression of crucial miRNA and mRNA were analyzed using starBase v3.0.
and
were screened as hub genes, which were significantly upregulated at protein and mRNA levels. These up-regulated hub genes were also significantly associated with poor prognosis. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
were screened as critical miRNA-mRNA axes. Critical miRNAs were decreased in HCC, which indicates unfavourable prognosis. QPCR results showed that crucial miRNAs were decreased, whereas critical mRNAs were increased in HBV-related HCC. A reverse relationship between miRNA and mRNA in crucial axis was further verified.
This study identified several miRNA-mRNA axes in HBV-related HCC. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
might serve as potential prognostic biomarkers and therapeutic targets for HBV-related HCC. |
| doi_str_mv | 10.7150/ijms.50126 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7757140</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2598279531</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-21b7b89eb14e569d100f030de5c38d5af0efb766a6359c950266eae8b2126e913</originalsourceid><addsrcrecordid>eNpdkUtr3DAUhUVJaF7d9AcEQTcl4OTKsiRrU5gMaScQ0hLSboVsX0802NZEskvm31fTPEiykcS9H4dzdAj5zOBUMQFnbtXHUwEslx_IPisKnTENaufVe48cxLgC4DlX7CPZ45xrKCHfJ8tz593Q-tDb0dWRzgbbbSJG6lv6y484jM52tHc317OsTwe9weXU2dGHDZ09uEjdQBfnf7KAaYgNXeA6LWvsukQFOrehdoPv7RHZbW0X8dPTfUh-f7-4nS-yq58_Luezq6wuQI5ZzipVlRorVqCQumEALXBoUNS8bIRtAdtKSWklF7rWAnIp0WJZ5Sk9asYPybdH3fVU9djUKUCwnVkH19uwMd4683YzuDuz9H-NUkKxApLA1yeB4O8njKPpXdzmsQP6KZq8UAJKyWWR0C_v0JWfQvrARAld5koLvnV08kjVwccYsH0xw8Bs-zPb_sz__hJ8_Nr-C_pcGP8Hp3aXBA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2598279531</pqid></control><display><type>article</type><title>Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Huang, Dan-Ping ; Zeng, Yi-Hao ; Yuan, Wei-Qu ; Huang, Xiu-Fang ; Chen, Sheng-Qian ; Wang, Mu-Yao ; Qiu, Yi-Jun ; Tong, Guang-Dong</creator><creatorcontrib>Huang, Dan-Ping ; Zeng, Yi-Hao ; Yuan, Wei-Qu ; Huang, Xiu-Fang ; Chen, Sheng-Qian ; Wang, Mu-Yao ; Qiu, Yi-Jun ; Tong, Guang-Dong</creatorcontrib><description>We aimed to explore the crucial miRNA-mRNA axis through bioinformatics analysis and provide evidences for the development of pathophysiological mechanisms and new therapies for HBV-related HCC.
MiRNA (GSE76903) and mRNA (GSE77509) dataset were used to screen differentially expressed miRNAs (DE-miRNAs) and differentially expressed mRNAs (DE-mRNAs) using R software. Overlapping genes between DE-mRNAs and target genes of DE-miRNAs were identified as candidate genes. Hub genes were obtained via cytohubba analysis. The expression at protein and mRNA levels and prognostic value of hub genes were evaluated based on The Cancer Genome Atlas (TCGA) data. Key miRNA-mRNA axes were constructed according to predicted miRNA-mRNA pairs. MiRNA expression and prognostic role were respectively identified using starBase v3.0 and Kaplan-Meier plotter database. Real-time PCR was performed to verify the expression of crucial miRNAs and mRNAs. Coexpression of crucial miRNA and mRNA were analyzed using starBase v3.0.
and
were screened as hub genes, which were significantly upregulated at protein and mRNA levels. These up-regulated hub genes were also significantly associated with poor prognosis. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
were screened as critical miRNA-mRNA axes. Critical miRNAs were decreased in HCC, which indicates unfavourable prognosis. QPCR results showed that crucial miRNAs were decreased, whereas critical mRNAs were increased in HBV-related HCC. A reverse relationship between miRNA and mRNA in crucial axis was further verified.
This study identified several miRNA-mRNA axes in HBV-related HCC. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
might serve as potential prognostic biomarkers and therapeutic targets for HBV-related HCC.</description><identifier>ISSN: 1449-1907</identifier><identifier>EISSN: 1449-1907</identifier><identifier>DOI: 10.7150/ijms.50126</identifier><identifier>PMID: 33390802</identifier><language>eng</language><publisher>Australia: Ivyspring International Publisher Pty Ltd</publisher><subject>Bioinformatics ; Biomarkers ; Cancer therapies ; Gene expression ; Hepatitis B ; Infections ; Liver cancer ; Medical prognosis ; MicroRNAs ; Proteins ; Research Paper ; Software</subject><ispartof>International journal of medical sciences, 2021-01, Vol.18 (2), p.335-346</ispartof><rights>The author(s).</rights><rights>2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The author(s) 2021</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-21b7b89eb14e569d100f030de5c38d5af0efb766a6359c950266eae8b2126e913</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2598279531/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2598279531?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33390802$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Dan-Ping</creatorcontrib><creatorcontrib>Zeng, Yi-Hao</creatorcontrib><creatorcontrib>Yuan, Wei-Qu</creatorcontrib><creatorcontrib>Huang, Xiu-Fang</creatorcontrib><creatorcontrib>Chen, Sheng-Qian</creatorcontrib><creatorcontrib>Wang, Mu-Yao</creatorcontrib><creatorcontrib>Qiu, Yi-Jun</creatorcontrib><creatorcontrib>Tong, Guang-Dong</creatorcontrib><title>Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma</title><title>International journal of medical sciences</title><addtitle>Int J Med Sci</addtitle><description>We aimed to explore the crucial miRNA-mRNA axis through bioinformatics analysis and provide evidences for the development of pathophysiological mechanisms and new therapies for HBV-related HCC.
MiRNA (GSE76903) and mRNA (GSE77509) dataset were used to screen differentially expressed miRNAs (DE-miRNAs) and differentially expressed mRNAs (DE-mRNAs) using R software. Overlapping genes between DE-mRNAs and target genes of DE-miRNAs were identified as candidate genes. Hub genes were obtained via cytohubba analysis. The expression at protein and mRNA levels and prognostic value of hub genes were evaluated based on The Cancer Genome Atlas (TCGA) data. Key miRNA-mRNA axes were constructed according to predicted miRNA-mRNA pairs. MiRNA expression and prognostic role were respectively identified using starBase v3.0 and Kaplan-Meier plotter database. Real-time PCR was performed to verify the expression of crucial miRNAs and mRNAs. Coexpression of crucial miRNA and mRNA were analyzed using starBase v3.0.
and
were screened as hub genes, which were significantly upregulated at protein and mRNA levels. These up-regulated hub genes were also significantly associated with poor prognosis. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
were screened as critical miRNA-mRNA axes. Critical miRNAs were decreased in HCC, which indicates unfavourable prognosis. QPCR results showed that crucial miRNAs were decreased, whereas critical mRNAs were increased in HBV-related HCC. A reverse relationship between miRNA and mRNA in crucial axis was further verified.
This study identified several miRNA-mRNA axes in HBV-related HCC. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
might serve as potential prognostic biomarkers and therapeutic targets for HBV-related HCC.</description><subject>Bioinformatics</subject><subject>Biomarkers</subject><subject>Cancer therapies</subject><subject>Gene expression</subject><subject>Hepatitis B</subject><subject>Infections</subject><subject>Liver cancer</subject><subject>Medical prognosis</subject><subject>MicroRNAs</subject><subject>Proteins</subject><subject>Research Paper</subject><subject>Software</subject><issn>1449-1907</issn><issn>1449-1907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkUtr3DAUhUVJaF7d9AcEQTcl4OTKsiRrU5gMaScQ0hLSboVsX0802NZEskvm31fTPEiykcS9H4dzdAj5zOBUMQFnbtXHUwEslx_IPisKnTENaufVe48cxLgC4DlX7CPZ45xrKCHfJ8tz593Q-tDb0dWRzgbbbSJG6lv6y484jM52tHc317OsTwe9weXU2dGHDZ09uEjdQBfnf7KAaYgNXeA6LWvsukQFOrehdoPv7RHZbW0X8dPTfUh-f7-4nS-yq58_Luezq6wuQI5ZzipVlRorVqCQumEALXBoUNS8bIRtAdtKSWklF7rWAnIp0WJZ5Sk9asYPybdH3fVU9djUKUCwnVkH19uwMd4683YzuDuz9H-NUkKxApLA1yeB4O8njKPpXdzmsQP6KZq8UAJKyWWR0C_v0JWfQvrARAld5koLvnV08kjVwccYsH0xw8Bs-zPb_sz__hJ8_Nr-C_pcGP8Hp3aXBA</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Huang, Dan-Ping</creator><creator>Zeng, Yi-Hao</creator><creator>Yuan, Wei-Qu</creator><creator>Huang, Xiu-Fang</creator><creator>Chen, Sheng-Qian</creator><creator>Wang, Mu-Yao</creator><creator>Qiu, Yi-Jun</creator><creator>Tong, Guang-Dong</creator><general>Ivyspring International Publisher Pty Ltd</general><general>Ivyspring International Publisher</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210101</creationdate><title>Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma</title><author>Huang, Dan-Ping ; Zeng, Yi-Hao ; Yuan, Wei-Qu ; Huang, Xiu-Fang ; Chen, Sheng-Qian ; Wang, Mu-Yao ; Qiu, Yi-Jun ; Tong, Guang-Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-21b7b89eb14e569d100f030de5c38d5af0efb766a6359c950266eae8b2126e913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bioinformatics</topic><topic>Biomarkers</topic><topic>Cancer therapies</topic><topic>Gene expression</topic><topic>Hepatitis B</topic><topic>Infections</topic><topic>Liver cancer</topic><topic>Medical prognosis</topic><topic>MicroRNAs</topic><topic>Proteins</topic><topic>Research Paper</topic><topic>Software</topic><toplevel>online_resources</toplevel><creatorcontrib>Huang, Dan-Ping</creatorcontrib><creatorcontrib>Zeng, Yi-Hao</creatorcontrib><creatorcontrib>Yuan, Wei-Qu</creatorcontrib><creatorcontrib>Huang, Xiu-Fang</creatorcontrib><creatorcontrib>Chen, Sheng-Qian</creatorcontrib><creatorcontrib>Wang, Mu-Yao</creatorcontrib><creatorcontrib>Qiu, Yi-Jun</creatorcontrib><creatorcontrib>Tong, Guang-Dong</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Dan-Ping</au><au>Zeng, Yi-Hao</au><au>Yuan, Wei-Qu</au><au>Huang, Xiu-Fang</au><au>Chen, Sheng-Qian</au><au>Wang, Mu-Yao</au><au>Qiu, Yi-Jun</au><au>Tong, Guang-Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma</atitle><jtitle>International journal of medical sciences</jtitle><addtitle>Int J Med Sci</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>18</volume><issue>2</issue><spage>335</spage><epage>346</epage><pages>335-346</pages><issn>1449-1907</issn><eissn>1449-1907</eissn><abstract>We aimed to explore the crucial miRNA-mRNA axis through bioinformatics analysis and provide evidences for the development of pathophysiological mechanisms and new therapies for HBV-related HCC.
MiRNA (GSE76903) and mRNA (GSE77509) dataset were used to screen differentially expressed miRNAs (DE-miRNAs) and differentially expressed mRNAs (DE-mRNAs) using R software. Overlapping genes between DE-mRNAs and target genes of DE-miRNAs were identified as candidate genes. Hub genes were obtained via cytohubba analysis. The expression at protein and mRNA levels and prognostic value of hub genes were evaluated based on The Cancer Genome Atlas (TCGA) data. Key miRNA-mRNA axes were constructed according to predicted miRNA-mRNA pairs. MiRNA expression and prognostic role were respectively identified using starBase v3.0 and Kaplan-Meier plotter database. Real-time PCR was performed to verify the expression of crucial miRNAs and mRNAs. Coexpression of crucial miRNA and mRNA were analyzed using starBase v3.0.
and
were screened as hub genes, which were significantly upregulated at protein and mRNA levels. These up-regulated hub genes were also significantly associated with poor prognosis. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
were screened as critical miRNA-mRNA axes. Critical miRNAs were decreased in HCC, which indicates unfavourable prognosis. QPCR results showed that crucial miRNAs were decreased, whereas critical mRNAs were increased in HBV-related HCC. A reverse relationship between miRNA and mRNA in crucial axis was further verified.
This study identified several miRNA-mRNA axes in HBV-related HCC. Hsa-mir-195-5p/
, hsa-mir-5589-3p/
and hsa-let-7c-3p/
might serve as potential prognostic biomarkers and therapeutic targets for HBV-related HCC.</abstract><cop>Australia</cop><pub>Ivyspring International Publisher Pty Ltd</pub><pmid>33390802</pmid><doi>10.7150/ijms.50126</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of medical sciences, 2021-01, Vol.18 (2), p.335-346 |
| issn | 1449-1907 1449-1907 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7757140 |
| source | Publicly Available Content Database; PubMed Central |
| subjects | Bioinformatics Biomarkers Cancer therapies Gene expression Hepatitis B Infections Liver cancer Medical prognosis MicroRNAs Proteins Research Paper Software |
| title | Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma |
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