Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prog...
Gespeichert in:
| Veröffentlicht in: | International journal of medical sciences 2020, Vol.17 (1), p.89-96 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 96 |
|---|---|
| container_issue | 1 |
| container_start_page | 89 |
| container_title | International journal of medical sciences |
| container_volume | 17 |
| creator | Wu, Zonglong Wang, Muru Liu, Qinggang Liu, Yaxiao Zhu, Kejia Chen, Lipeng Guo, Hongda Li, Yan Shi, Benkang |
| description | Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer. |
| doi_str_mv | 10.7150/ijms.39056 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6945555</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2338090922</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-7f0bf7e93262b47d79ec3c405de21de42be43ce9ad9208edd2278a53f1f539123</originalsourceid><addsrcrecordid>eNpdUUtrFTEUHsRia3XjD5CAGxFuzWsmNxtBio9CoZu6DpnkZG4uM8mYTFr9I_5eM7211GaTcL7HOTlf07wh-EyQFn_0-ymfMYnb7llzQjiXGyKxeP7ofdy8zHmPMaNMkBfNMSOSSsHpSfPnwkJYvPNGLz4GFB0aIACCX3OCnNfSnKLzI2Skg0V-mkqFDYwj8qHWl3QQZj8EvZQqQj0stwABjfH2TrPzww4tZYoJTWU50PuSamM0pFjmXJ1QP2prISGjg4H0qjlyeszw-v4-bX58_XJ9_n1zefXt4vzz5cZw3C0b4XDvBEhGO9pzYYUEwyrUWqDEAqc9cGZAaisp3oK1lIqtbpkjrmWSUHbafDr4zqWfwJq6i6RHNSc_6fRbRe3V_0jwOzXEG9VJ3tZTDd7fG6T4s0Be1OTzuh0dIJasKGNbLLGka693T6j7WFKo31O0lVsqedfxyvpwYJkUc07gHoYhWK1xqzVudRd3Jb99PP4D9V--7C_LCKr5</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2598294664</pqid></control><display><type>article</type><title>Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Wu, Zonglong ; Wang, Muru ; Liu, Qinggang ; Liu, Yaxiao ; Zhu, Kejia ; Chen, Lipeng ; Guo, Hongda ; Li, Yan ; Shi, Benkang</creator><creatorcontrib>Wu, Zonglong ; Wang, Muru ; Liu, Qinggang ; Liu, Yaxiao ; Zhu, Kejia ; Chen, Lipeng ; Guo, Hongda ; Li, Yan ; Shi, Benkang</creatorcontrib><description>Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer.</description><identifier>ISSN: 1449-1907</identifier><identifier>EISSN: 1449-1907</identifier><identifier>DOI: 10.7150/ijms.39056</identifier><identifier>PMID: 31929742</identifier><language>eng</language><publisher>Australia: Ivyspring International Publisher Pty Ltd</publisher><subject>Antigens ; Apoptosis ; Bladder cancer ; Chemokines ; Extracellular matrix ; Gene expression ; Genomes ; Immunotherapy ; Medical prognosis ; Mutation ; Proteins ; Research Paper ; Software ; Survival analysis ; T cell receptors ; Tumors</subject><ispartof>International journal of medical sciences, 2020, Vol.17 (1), p.89-96</ispartof><rights>The author(s).</rights><rights>2020. 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) 2020</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-7f0bf7e93262b47d79ec3c405de21de42be43ce9ad9208edd2278a53f1f539123</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945555/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945555/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4010,27902,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31929742$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Zonglong</creatorcontrib><creatorcontrib>Wang, Muru</creatorcontrib><creatorcontrib>Liu, Qinggang</creatorcontrib><creatorcontrib>Liu, Yaxiao</creatorcontrib><creatorcontrib>Zhu, Kejia</creatorcontrib><creatorcontrib>Chen, Lipeng</creatorcontrib><creatorcontrib>Guo, Hongda</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Shi, Benkang</creatorcontrib><title>Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer</title><title>International journal of medical sciences</title><addtitle>Int J Med Sci</addtitle><description>Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer.</description><subject>Antigens</subject><subject>Apoptosis</subject><subject>Bladder cancer</subject><subject>Chemokines</subject><subject>Extracellular matrix</subject><subject>Gene expression</subject><subject>Genomes</subject><subject>Immunotherapy</subject><subject>Medical prognosis</subject><subject>Mutation</subject><subject>Proteins</subject><subject>Research Paper</subject><subject>Software</subject><subject>Survival analysis</subject><subject>T cell receptors</subject><subject>Tumors</subject><issn>1449-1907</issn><issn>1449-1907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdUUtrFTEUHsRia3XjD5CAGxFuzWsmNxtBio9CoZu6DpnkZG4uM8mYTFr9I_5eM7211GaTcL7HOTlf07wh-EyQFn_0-ymfMYnb7llzQjiXGyKxeP7ofdy8zHmPMaNMkBfNMSOSSsHpSfPnwkJYvPNGLz4GFB0aIACCX3OCnNfSnKLzI2Skg0V-mkqFDYwj8qHWl3QQZj8EvZQqQj0stwABjfH2TrPzww4tZYoJTWU50PuSamM0pFjmXJ1QP2prISGjg4H0qjlyeszw-v4-bX58_XJ9_n1zefXt4vzz5cZw3C0b4XDvBEhGO9pzYYUEwyrUWqDEAqc9cGZAaisp3oK1lIqtbpkjrmWSUHbafDr4zqWfwJq6i6RHNSc_6fRbRe3V_0jwOzXEG9VJ3tZTDd7fG6T4s0Be1OTzuh0dIJasKGNbLLGka693T6j7WFKo31O0lVsqedfxyvpwYJkUc07gHoYhWK1xqzVudRd3Jb99PP4D9V--7C_LCKr5</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Wu, Zonglong</creator><creator>Wang, Muru</creator><creator>Liu, Qinggang</creator><creator>Liu, Yaxiao</creator><creator>Zhu, Kejia</creator><creator>Chen, Lipeng</creator><creator>Guo, Hongda</creator><creator>Li, Yan</creator><creator>Shi, Benkang</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>2020</creationdate><title>Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer</title><author>Wu, Zonglong ; Wang, Muru ; Liu, Qinggang ; Liu, Yaxiao ; Zhu, Kejia ; Chen, Lipeng ; Guo, Hongda ; Li, Yan ; Shi, Benkang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-7f0bf7e93262b47d79ec3c405de21de42be43ce9ad9208edd2278a53f1f539123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Antigens</topic><topic>Apoptosis</topic><topic>Bladder cancer</topic><topic>Chemokines</topic><topic>Extracellular matrix</topic><topic>Gene expression</topic><topic>Genomes</topic><topic>Immunotherapy</topic><topic>Medical prognosis</topic><topic>Mutation</topic><topic>Proteins</topic><topic>Research Paper</topic><topic>Software</topic><topic>Survival analysis</topic><topic>T cell receptors</topic><topic>Tumors</topic><toplevel>online_resources</toplevel><creatorcontrib>Wu, Zonglong</creatorcontrib><creatorcontrib>Wang, Muru</creatorcontrib><creatorcontrib>Liu, Qinggang</creatorcontrib><creatorcontrib>Liu, Yaxiao</creatorcontrib><creatorcontrib>Zhu, Kejia</creatorcontrib><creatorcontrib>Chen, Lipeng</creatorcontrib><creatorcontrib>Guo, Hongda</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Shi, Benkang</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 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 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>Wu, Zonglong</au><au>Wang, Muru</au><au>Liu, Qinggang</au><au>Liu, Yaxiao</au><au>Zhu, Kejia</au><au>Chen, Lipeng</au><au>Guo, Hongda</au><au>Li, Yan</au><au>Shi, Benkang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer</atitle><jtitle>International journal of medical sciences</jtitle><addtitle>Int J Med Sci</addtitle><date>2020</date><risdate>2020</risdate><volume>17</volume><issue>1</issue><spage>89</spage><epage>96</epage><pages>89-96</pages><issn>1449-1907</issn><eissn>1449-1907</eissn><abstract>Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer.</abstract><cop>Australia</cop><pub>Ivyspring International Publisher Pty Ltd</pub><pmid>31929742</pmid><doi>10.7150/ijms.39056</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1449-1907 |
| ispartof | International journal of medical sciences, 2020, Vol.17 (1), p.89-96 |
| issn | 1449-1907 1449-1907 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6945555 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
| subjects | Antigens Apoptosis Bladder cancer Chemokines Extracellular matrix Gene expression Genomes Immunotherapy Medical prognosis Mutation Proteins Research Paper Software Survival analysis T cell receptors Tumors |
| title | Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T05%3A13%3A05IST&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=Identification%20of%20gene%20expression%20profiles%20and%20immune%20cell%20infiltration%20signatures%20between%20low%20and%20high%20tumor%20mutation%20burden%20groups%20in%20bladder%20cancer&rft.jtitle=International%20journal%20of%20medical%20sciences&rft.au=Wu,%20Zonglong&rft.date=2020&rft.volume=17&rft.issue=1&rft.spage=89&rft.epage=96&rft.pages=89-96&rft.issn=1449-1907&rft.eissn=1449-1907&rft_id=info:doi/10.7150/ijms.39056&rft_dat=%3Cproquest_pubme%3E2338090922%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=2598294664&rft_id=info:pmid/31929742&rfr_iscdi=true |