Construction and validation of a novel cuproptosis-mitochondrion prognostic model related with tumor immunity in osteosarcoma
The purpose of this study was to develop a new prognostic model for osteosarcoma based on cuproptosis-mitochondrion genes. The data of osteosarcoma were obtained from TARGET database. By using Cox regression and LASSO regression analysis, a novel risk score was constructed based on cuproptosis-mitoc...
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| creator | Feng, Jinyan Wang, Jinwu Xu, Yao Lu, Feng Zhang, Jin Han, Xiuxin Zhang, Chao Wang, Guowen |
| description | The purpose of this study was to develop a new prognostic model for osteosarcoma based on cuproptosis-mitochondrion genes.
The data of osteosarcoma were obtained from TARGET database. By using Cox regression and LASSO regression analysis, a novel risk score was constructed based on cuproptosis-mitochondrion genes. Kaplan-Meier, ROC curve and independent prognostic analyses were performed to validate the risk score in GSE21257 dataset. Then, a predictive nomogram was constructed and further validated by calibration plot, C-index and ROC curve. Based on the risk score, all patients were divided into high-risk and low-risk group. GO and KEGG enrichment, immune correlation and drug sensitivity analyses were performed between groups. Real-time quantitative PCR verified the expression of cuproptosis-mitochondrion prognostic model genes in osteosarcoma. And we explored the function of FDX1 in osteosarcoma by western blotting, CCK8, colony formation assay, wound healing assay and transwell assays.
A total of six cuproptosis-mitochondrion genes (FDX1, COX11, MFN2, TOMM20, NDUFB9 and ATP6V1E1) were identified. A novel risk score and associated prognostic nomogram were constructed with high clinical application value. Strong differences in function enrichment and tumor immune microenvironment were shown between groups. Besides, the correlation of cuproptosis-mitochondrion genes and drug sensitivity were revealed to search for potential therapeutic target. The expression of FDX1, COX11, MFN2, TOMM20 and NDUFB9 at mRNA level was elevated in osteosarcoma cells compared with normal osteoblast hFOB1.19. The mRNA expression level of ATP6V1E1 was decreased in osteosarcoma. Compared with hFOB1.19, western blotting revealed that the expression of FDX1 was significantly elevated in osteosarcoma cells. Functional experiments indicated that FDX1 mainly promoted the migration of osteosarcoma rather than proliferation.
We developed a novel prognostic model of osteosarcoma based on cuproptosis-mitochondrion genes, which provided great guidance in survival prediction and individualized treatment decision making for patients with osteosarcoma. |
| doi_str_mv | 10.1371/journal.pone.0288180 |
| format | Article |
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The data of osteosarcoma were obtained from TARGET database. By using Cox regression and LASSO regression analysis, a novel risk score was constructed based on cuproptosis-mitochondrion genes. Kaplan-Meier, ROC curve and independent prognostic analyses were performed to validate the risk score in GSE21257 dataset. Then, a predictive nomogram was constructed and further validated by calibration plot, C-index and ROC curve. Based on the risk score, all patients were divided into high-risk and low-risk group. GO and KEGG enrichment, immune correlation and drug sensitivity analyses were performed between groups. Real-time quantitative PCR verified the expression of cuproptosis-mitochondrion prognostic model genes in osteosarcoma. And we explored the function of FDX1 in osteosarcoma by western blotting, CCK8, colony formation assay, wound healing assay and transwell assays.
A total of six cuproptosis-mitochondrion genes (FDX1, COX11, MFN2, TOMM20, NDUFB9 and ATP6V1E1) were identified. A novel risk score and associated prognostic nomogram were constructed with high clinical application value. Strong differences in function enrichment and tumor immune microenvironment were shown between groups. Besides, the correlation of cuproptosis-mitochondrion genes and drug sensitivity were revealed to search for potential therapeutic target. The expression of FDX1, COX11, MFN2, TOMM20 and NDUFB9 at mRNA level was elevated in osteosarcoma cells compared with normal osteoblast hFOB1.19. The mRNA expression level of ATP6V1E1 was decreased in osteosarcoma. Compared with hFOB1.19, western blotting revealed that the expression of FDX1 was significantly elevated in osteosarcoma cells. Functional experiments indicated that FDX1 mainly promoted the migration of osteosarcoma rather than proliferation.
We developed a novel prognostic model of osteosarcoma based on cuproptosis-mitochondrion genes, which provided great guidance in survival prediction and individualized treatment decision making for patients with osteosarcoma.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0288180</identifier><identifier>PMID: 37405988</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Apoptosis ; Assaying ; Biology and Life Sciences ; Bone cancer ; Bone Neoplasms - genetics ; Calibration ; Care and treatment ; Cell death ; Colorectal cancer ; Construction ; Copper ; Copper ions ; Correlation ; Decision making ; Gender ; Gene expression ; Genes ; Genes, Mitochondrial ; Health aspects ; Health risks ; Humans ; Immunology ; Medical prognosis ; Medicine and Health Sciences ; Membrane Transport Proteins ; Metastasis ; Microenvironments ; Mitochondria ; Modelling ; Nomograms ; Osteosarcoma ; Osteosarcoma - genetics ; Osteosarcoma cells ; Patients ; Prognosis ; Proteins ; Regression analysis ; Respiration ; Risk groups ; RNA ; Sarcoma ; Sensitivity analysis ; Survival ; Therapeutic targets ; Tumor Microenvironment ; Tumors ; Western blotting ; Wound healing</subject><ispartof>PloS one, 2023-07, Vol.18 (7), p.e0288180-e0288180</ispartof><rights>Copyright: © 2023 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Feng et al 2023 Feng et al</rights><rights>2023 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c693t-e137c2ae69d93b803e9ce58c4c470157a8cd90741a7716cacb95a005ad4b4b9b3</citedby><cites>FETCH-LOGICAL-c693t-e137c2ae69d93b803e9ce58c4c470157a8cd90741a7716cacb95a005ad4b4b9b3</cites><orcidid>0000-0003-0945-7579</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/PMC10321638/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321638/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37405988$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Feng, Jinyan</creatorcontrib><creatorcontrib>Wang, Jinwu</creatorcontrib><creatorcontrib>Xu, Yao</creatorcontrib><creatorcontrib>Lu, Feng</creatorcontrib><creatorcontrib>Zhang, Jin</creatorcontrib><creatorcontrib>Han, Xiuxin</creatorcontrib><creatorcontrib>Zhang, Chao</creatorcontrib><creatorcontrib>Wang, Guowen</creatorcontrib><title>Construction and validation of a novel cuproptosis-mitochondrion prognostic model related with tumor immunity in osteosarcoma</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The purpose of this study was to develop a new prognostic model for osteosarcoma based on cuproptosis-mitochondrion genes.
The data of osteosarcoma were obtained from TARGET database. By using Cox regression and LASSO regression analysis, a novel risk score was constructed based on cuproptosis-mitochondrion genes. Kaplan-Meier, ROC curve and independent prognostic analyses were performed to validate the risk score in GSE21257 dataset. Then, a predictive nomogram was constructed and further validated by calibration plot, C-index and ROC curve. Based on the risk score, all patients were divided into high-risk and low-risk group. GO and KEGG enrichment, immune correlation and drug sensitivity analyses were performed between groups. Real-time quantitative PCR verified the expression of cuproptosis-mitochondrion prognostic model genes in osteosarcoma. And we explored the function of FDX1 in osteosarcoma by western blotting, CCK8, colony formation assay, wound healing assay and transwell assays.
A total of six cuproptosis-mitochondrion genes (FDX1, COX11, MFN2, TOMM20, NDUFB9 and ATP6V1E1) were identified. A novel risk score and associated prognostic nomogram were constructed with high clinical application value. Strong differences in function enrichment and tumor immune microenvironment were shown between groups. Besides, the correlation of cuproptosis-mitochondrion genes and drug sensitivity were revealed to search for potential therapeutic target. The expression of FDX1, COX11, MFN2, TOMM20 and NDUFB9 at mRNA level was elevated in osteosarcoma cells compared with normal osteoblast hFOB1.19. The mRNA expression level of ATP6V1E1 was decreased in osteosarcoma. Compared with hFOB1.19, western blotting revealed that the expression of FDX1 was significantly elevated in osteosarcoma cells. Functional experiments indicated that FDX1 mainly promoted the migration of osteosarcoma rather than proliferation.
We developed a novel prognostic model of osteosarcoma based on cuproptosis-mitochondrion genes, which provided great guidance in survival prediction and individualized treatment decision making for patients with osteosarcoma.</description><subject>Analysis</subject><subject>Apoptosis</subject><subject>Assaying</subject><subject>Biology and Life Sciences</subject><subject>Bone cancer</subject><subject>Bone Neoplasms - genetics</subject><subject>Calibration</subject><subject>Care and treatment</subject><subject>Cell death</subject><subject>Colorectal cancer</subject><subject>Construction</subject><subject>Copper</subject><subject>Copper ions</subject><subject>Correlation</subject><subject>Decision making</subject><subject>Gender</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genes, Mitochondrial</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Humans</subject><subject>Immunology</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Membrane Transport Proteins</subject><subject>Metastasis</subject><subject>Microenvironments</subject><subject>Mitochondria</subject><subject>Modelling</subject><subject>Nomograms</subject><subject>Osteosarcoma</subject><subject>Osteosarcoma - genetics</subject><subject>Osteosarcoma cells</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Proteins</subject><subject>Regression analysis</subject><subject>Respiration</subject><subject>Risk groups</subject><subject>RNA</subject><subject>Sarcoma</subject><subject>Sensitivity analysis</subject><subject>Survival</subject><subject>Therapeutic targets</subject><subject>Tumor Microenvironment</subject><subject>Tumors</subject><subject>Western blotting</subject><subject>Wound healing</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MWOE8c-oario1KlSnxdrYnt7LpKPIvtLPTAf8fb3Va7qAeUQ-LxM-_kHXuK4jklc8pa-u4Kp-BhmK_Q2zmphKCCPCiOqWTVjFeEPdz7PiqexHhFSMME54-LI9bWpJFCHBd_ztDHFCadHPoSvCnXMDgDN0vsSyg9ru1Q6mkVcJUwujgbXUK9RG_CBsrxhceYnC5HNBkNdoBkTfnLpWWZphFD6cZx8i5dly6LxmQxQtA4wtPiUQ9DtM9275Pi-8cP384-zy4uP52fnV7MNJcszWw2rCuwXBrJOkGYldo2Qte6bgltWhDaSNLWFNqWcg26kw1kt2Dqru5kx06Kl1vd1YBR7ToXVSUY47QmdZOJ8y1hEK7UKrgRwrVCcOomgGGhIGSPg1W86kGbjskO-qwvhOgZ7_vWtFRobjfV3u-qTd1ojbY-BRgORA93vFuqBa4VJayinIms8GanEPDnZGNSo4vaDgN4i9PNj9eEEF7JjL76B73f3o5aQHbgfI-5sN6IqtO2aWTFKskzNb-Hyo-xo9P5nvUuxw8S3h4kZCbZ32kBU4zq_OuX_2cvfxyyr_fYpYUhLSMO0-ZWxkOw3oI6YIzB9nddpkRtxuS2G2ozJmo3Jjntxf4J3SXdzgX7CwFEEQ8</recordid><startdate>20230705</startdate><enddate>20230705</enddate><creator>Feng, Jinyan</creator><creator>Wang, Jinwu</creator><creator>Xu, Yao</creator><creator>Lu, Feng</creator><creator>Zhang, Jin</creator><creator>Han, Xiuxin</creator><creator>Zhang, Chao</creator><creator>Wang, Guowen</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0945-7579</orcidid></search><sort><creationdate>20230705</creationdate><title>Construction and validation of a novel cuproptosis-mitochondrion prognostic model related with tumor immunity in osteosarcoma</title><author>Feng, Jinyan ; Wang, Jinwu ; Xu, Yao ; Lu, Feng ; Zhang, Jin ; Han, Xiuxin ; Zhang, Chao ; Wang, Guowen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c693t-e137c2ae69d93b803e9ce58c4c470157a8cd90741a7716cacb95a005ad4b4b9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Apoptosis</topic><topic>Assaying</topic><topic>Biology and Life Sciences</topic><topic>Bone cancer</topic><topic>Bone Neoplasms - genetics</topic><topic>Calibration</topic><topic>Care and treatment</topic><topic>Cell death</topic><topic>Colorectal cancer</topic><topic>Construction</topic><topic>Copper</topic><topic>Copper ions</topic><topic>Correlation</topic><topic>Decision making</topic><topic>Gender</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Genes, Mitochondrial</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Humans</topic><topic>Immunology</topic><topic>Medical prognosis</topic><topic>Medicine and Health Sciences</topic><topic>Membrane Transport Proteins</topic><topic>Metastasis</topic><topic>Microenvironments</topic><topic>Mitochondria</topic><topic>Modelling</topic><topic>Nomograms</topic><topic>Osteosarcoma</topic><topic>Osteosarcoma - genetics</topic><topic>Osteosarcoma cells</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Proteins</topic><topic>Regression analysis</topic><topic>Respiration</topic><topic>Risk groups</topic><topic>RNA</topic><topic>Sarcoma</topic><topic>Sensitivity analysis</topic><topic>Survival</topic><topic>Therapeutic targets</topic><topic>Tumor Microenvironment</topic><topic>Tumors</topic><topic>Western blotting</topic><topic>Wound healing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feng, Jinyan</creatorcontrib><creatorcontrib>Wang, Jinwu</creatorcontrib><creatorcontrib>Xu, Yao</creatorcontrib><creatorcontrib>Lu, Feng</creatorcontrib><creatorcontrib>Zhang, Jin</creatorcontrib><creatorcontrib>Han, Xiuxin</creatorcontrib><creatorcontrib>Zhang, Chao</creatorcontrib><creatorcontrib>Wang, Guowen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feng, Jinyan</au><au>Wang, Jinwu</au><au>Xu, Yao</au><au>Lu, Feng</au><au>Zhang, Jin</au><au>Han, Xiuxin</au><au>Zhang, Chao</au><au>Wang, Guowen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Construction and validation of a novel cuproptosis-mitochondrion prognostic model related with tumor immunity in osteosarcoma</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-07-05</date><risdate>2023</risdate><volume>18</volume><issue>7</issue><spage>e0288180</spage><epage>e0288180</epage><pages>e0288180-e0288180</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The purpose of this study was to develop a new prognostic model for osteosarcoma based on cuproptosis-mitochondrion genes.
The data of osteosarcoma were obtained from TARGET database. By using Cox regression and LASSO regression analysis, a novel risk score was constructed based on cuproptosis-mitochondrion genes. Kaplan-Meier, ROC curve and independent prognostic analyses were performed to validate the risk score in GSE21257 dataset. Then, a predictive nomogram was constructed and further validated by calibration plot, C-index and ROC curve. Based on the risk score, all patients were divided into high-risk and low-risk group. GO and KEGG enrichment, immune correlation and drug sensitivity analyses were performed between groups. Real-time quantitative PCR verified the expression of cuproptosis-mitochondrion prognostic model genes in osteosarcoma. And we explored the function of FDX1 in osteosarcoma by western blotting, CCK8, colony formation assay, wound healing assay and transwell assays.
A total of six cuproptosis-mitochondrion genes (FDX1, COX11, MFN2, TOMM20, NDUFB9 and ATP6V1E1) were identified. A novel risk score and associated prognostic nomogram were constructed with high clinical application value. Strong differences in function enrichment and tumor immune microenvironment were shown between groups. Besides, the correlation of cuproptosis-mitochondrion genes and drug sensitivity were revealed to search for potential therapeutic target. The expression of FDX1, COX11, MFN2, TOMM20 and NDUFB9 at mRNA level was elevated in osteosarcoma cells compared with normal osteoblast hFOB1.19. The mRNA expression level of ATP6V1E1 was decreased in osteosarcoma. Compared with hFOB1.19, western blotting revealed that the expression of FDX1 was significantly elevated in osteosarcoma cells. Functional experiments indicated that FDX1 mainly promoted the migration of osteosarcoma rather than proliferation.
We developed a novel prognostic model of osteosarcoma based on cuproptosis-mitochondrion genes, which provided great guidance in survival prediction and individualized treatment decision making for patients with osteosarcoma.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37405988</pmid><doi>10.1371/journal.pone.0288180</doi><tpages>e0288180</tpages><orcidid>https://orcid.org/0000-0003-0945-7579</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | PloS one, 2023-07, Vol.18 (7), p.e0288180-e0288180 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2833614045 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Analysis Apoptosis Assaying Biology and Life Sciences Bone cancer Bone Neoplasms - genetics Calibration Care and treatment Cell death Colorectal cancer Construction Copper Copper ions Correlation Decision making Gender Gene expression Genes Genes, Mitochondrial Health aspects Health risks Humans Immunology Medical prognosis Medicine and Health Sciences Membrane Transport Proteins Metastasis Microenvironments Mitochondria Modelling Nomograms Osteosarcoma Osteosarcoma - genetics Osteosarcoma cells Patients Prognosis Proteins Regression analysis Respiration Risk groups RNA Sarcoma Sensitivity analysis Survival Therapeutic targets Tumor Microenvironment Tumors Western blotting Wound healing |
| title | Construction and validation of a novel cuproptosis-mitochondrion prognostic model related with tumor immunity in osteosarcoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T11%3A00%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Construction%20and%20validation%20of%20a%20novel%20cuproptosis-mitochondrion%20prognostic%20model%20related%20with%20tumor%20immunity%20in%20osteosarcoma&rft.jtitle=PloS%20one&rft.au=Feng,%20Jinyan&rft.date=2023-07-05&rft.volume=18&rft.issue=7&rft.spage=e0288180&rft.epage=e0288180&rft.pages=e0288180-e0288180&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0288180&rft_dat=%3Cgale_plos_%3EA755923296%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2833614045&rft_id=info:pmid/37405988&rft_galeid=A755923296&rft_doaj_id=oai_doaj_org_article_62facdb39baf4b4888f36ff7d718c6eb&rfr_iscdi=true |