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Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer
Background. The role of ferroptosis-related long non-coding RNAs (lncRNAs) in bladder cancer remains elusive. This study is aimed at examining the prognostic role of ferroptosis-related lncRNAs in bladder cancer. Materials and Methods. The transcriptomic matrix and clinical information of patients w...
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Published in: | Oxidative medicine and cellular longevity 2022-08, Vol.2022, p.1-30 |
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description | Background. The role of ferroptosis-related long non-coding RNAs (lncRNAs) in bladder cancer remains elusive. This study is aimed at examining the prognostic role of ferroptosis-related lncRNAs in bladder cancer. Materials and Methods. The transcriptomic matrix and clinical information of patients with bladder cancer were obtained from The Cancer Genome Atlas (TCGA) database. A ferroptosis-related lncRNA signature was developed via the least absolute shrinkage and selection operator (LASSO) analysis using data from the training cohort, and the signature was further validated using data from the test cohort. The role of AC006160.1, the most significant lncRNA in the risk signature, was examined in various cell lines including SV-HUC-1, BIU-87, HT-1376, T24, RT4, RT-112, 5637, and UMUC3. The pcDNA3.1-AC006160.1 plasmid was constructed and transfected into the bladder cancer cell lines T24 and BIU-87. In addition, cell proliferation, colony formation, transwell, and wound healing assays were performed to examine the biological function of AC006160.1 in T24 and BIU-87 cell lines. Results. Two clusters were identified through consensus clustering based on prognostic ferroptosis-related lncRNAs. A 5-lncRNA risk signature was successfully constructed using data from the training cohort and validated using data from the test cohort. The risk signature had excellent ability to predict survival outcomes, clinical stages, pathological grades, expression of immune checkpoints, and immunotherapeutic responses in bladder cancer samples. Furthermore, AC006160.1 expression was found to be lower in the cancer cell lines BIU-87, T24, RT4, RT-112, and 5637 than in the normal control cell line SV-HUC-1. Cell proliferation, colony formation, transwell migration, and wound healing assays validated that overexpression of AC006160.1 significantly inhibited the proliferation and invasion abilities of both T24 and BIU-87 cells. Drug sensitivity analysis revealed that patients with high expression of AC006160.1 were sensitive to metformin and methotrexate, and the results were further validated via in vitro drug experiments. Conclusions. Ferroptosis-related lncRNAs play a vital role in predicting the multiomic characteristics of bladder cancer. The lncRNA AC006160.1 serves as a protective factor for the development of bladder cancer. |
doi_str_mv | 10.1155/2022/9316847 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9444476</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2711841662</sourcerecordid><originalsourceid>FETCH-LOGICAL-c425t-f88ce7155a3680fabd9cbc7a7d03790a834ef9eeeea483f6eb0c8e0ffe9e8ad53</originalsourceid><addsrcrecordid>eNp9kd9rFDEQxxdRbK2--QcEfBF0bX5tNnkRzqO1wlml6HPIJpNeyt7mmmSr99-b446CPjgvM8x8-DIz36Z5TfAHQrrunGJKzxUjQvL-SXNKFKctVoo_fawxPmle5HyHsWCUk-fNCRO4J1J0p83uElKK2xJzyO0NjKaAQ6s43aLrONnoQq1urhcZXZkHQBe_LYwjTAV9T-CCLaE2F0MYQ9khHxP6Oo8lxE2waLk2ydgCKeQSbEbRo0-jcQ4SWprJQnrZPPNmzPDqmM-an5cXP5ZX7erb5y_Lxaq1nHal9VJa6OuhhgmJvRmcsoPtTe8w6xU2knHwCmoYLpkXMGArAXsPCqRxHTtrPh50t_OwAWfr9smMepvCxqSdjibovydTWOvb-KAVr9GLKvD2KJDi_Qy56E3I-z-YCeKcNe0JkZwIQSv65h_0Ls5pquftKSoE54RV6v2BsinmnMA_LkOw3nuq957qo6cVf3fA12Fy5lf4P_0HmkWiLw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2712664413</pqid></control><display><type>article</type><title>Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer</title><source>Wiley Online Library Open Access</source><source>Publicly Available Content Database</source><source>Coronavirus Research Database</source><creator>Liu, Jingchao ; Cui, Jingyi ; Zhao, Shuangyi ; Wu, Meng ; Wang, Jiawen ; Zhang, Yaoguang ; Jin, Bin ; Wang, Jianye</creator><contributor>Luo, Lianxiang ; Lianxiang Luo</contributor><creatorcontrib>Liu, Jingchao ; Cui, Jingyi ; Zhao, Shuangyi ; Wu, Meng ; Wang, Jiawen ; Zhang, Yaoguang ; Jin, Bin ; Wang, Jianye ; Luo, Lianxiang ; Lianxiang Luo</creatorcontrib><description>Background. The role of ferroptosis-related long non-coding RNAs (lncRNAs) in bladder cancer remains elusive. This study is aimed at examining the prognostic role of ferroptosis-related lncRNAs in bladder cancer. Materials and Methods. The transcriptomic matrix and clinical information of patients with bladder cancer were obtained from The Cancer Genome Atlas (TCGA) database. A ferroptosis-related lncRNA signature was developed via the least absolute shrinkage and selection operator (LASSO) analysis using data from the training cohort, and the signature was further validated using data from the test cohort. The role of AC006160.1, the most significant lncRNA in the risk signature, was examined in various cell lines including SV-HUC-1, BIU-87, HT-1376, T24, RT4, RT-112, 5637, and UMUC3. The pcDNA3.1-AC006160.1 plasmid was constructed and transfected into the bladder cancer cell lines T24 and BIU-87. In addition, cell proliferation, colony formation, transwell, and wound healing assays were performed to examine the biological function of AC006160.1 in T24 and BIU-87 cell lines. Results. Two clusters were identified through consensus clustering based on prognostic ferroptosis-related lncRNAs. A 5-lncRNA risk signature was successfully constructed using data from the training cohort and validated using data from the test cohort. The risk signature had excellent ability to predict survival outcomes, clinical stages, pathological grades, expression of immune checkpoints, and immunotherapeutic responses in bladder cancer samples. Furthermore, AC006160.1 expression was found to be lower in the cancer cell lines BIU-87, T24, RT4, RT-112, and 5637 than in the normal control cell line SV-HUC-1. Cell proliferation, colony formation, transwell migration, and wound healing assays validated that overexpression of AC006160.1 significantly inhibited the proliferation and invasion abilities of both T24 and BIU-87 cells. Drug sensitivity analysis revealed that patients with high expression of AC006160.1 were sensitive to metformin and methotrexate, and the results were further validated via in vitro drug experiments. Conclusions. Ferroptosis-related lncRNAs play a vital role in predicting the multiomic characteristics of bladder cancer. The lncRNA AC006160.1 serves as a protective factor for the development of bladder cancer.</description><identifier>ISSN: 1942-0900</identifier><identifier>EISSN: 1942-0994</identifier><identifier>DOI: 10.1155/2022/9316847</identifier><identifier>PMID: 36071865</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Algorithms ; Apoptosis ; Bladder cancer ; Cell cycle ; Chemotherapy ; Correlation analysis ; Ferroptosis ; Gene expression ; Immunotherapy ; Leukemia ; Liver cancer ; Lung cancer ; Medical prognosis ; Metastasis ; Regression analysis ; Survival analysis</subject><ispartof>Oxidative medicine and cellular longevity, 2022-08, Vol.2022, p.1-30</ispartof><rights>Copyright © 2022 Jingchao Liu et al.</rights><rights>Copyright © 2022 Jingchao Liu 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 © 2022 Jingchao Liu et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-f88ce7155a3680fabd9cbc7a7d03790a834ef9eeeea483f6eb0c8e0ffe9e8ad53</citedby><cites>FETCH-LOGICAL-c425t-f88ce7155a3680fabd9cbc7a7d03790a834ef9eeeea483f6eb0c8e0ffe9e8ad53</cites><orcidid>0000-0002-9815-5005 ; 0000-0003-0870-7441 ; 0000-0001-5534-2727 ; 0000-0001-5713-6337 ; 0000-0003-1965-4138 ; 0000-0001-6092-7105 ; 0000-0003-0868-9300</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2712664413/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2712664413?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,74412,75126</link.rule.ids></links><search><contributor>Luo, Lianxiang</contributor><contributor>Lianxiang Luo</contributor><creatorcontrib>Liu, Jingchao</creatorcontrib><creatorcontrib>Cui, Jingyi</creatorcontrib><creatorcontrib>Zhao, Shuangyi</creatorcontrib><creatorcontrib>Wu, Meng</creatorcontrib><creatorcontrib>Wang, Jiawen</creatorcontrib><creatorcontrib>Zhang, Yaoguang</creatorcontrib><creatorcontrib>Jin, Bin</creatorcontrib><creatorcontrib>Wang, Jianye</creatorcontrib><title>Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer</title><title>Oxidative medicine and cellular longevity</title><description>Background. The role of ferroptosis-related long non-coding RNAs (lncRNAs) in bladder cancer remains elusive. This study is aimed at examining the prognostic role of ferroptosis-related lncRNAs in bladder cancer. Materials and Methods. The transcriptomic matrix and clinical information of patients with bladder cancer were obtained from The Cancer Genome Atlas (TCGA) database. A ferroptosis-related lncRNA signature was developed via the least absolute shrinkage and selection operator (LASSO) analysis using data from the training cohort, and the signature was further validated using data from the test cohort. The role of AC006160.1, the most significant lncRNA in the risk signature, was examined in various cell lines including SV-HUC-1, BIU-87, HT-1376, T24, RT4, RT-112, 5637, and UMUC3. The pcDNA3.1-AC006160.1 plasmid was constructed and transfected into the bladder cancer cell lines T24 and BIU-87. In addition, cell proliferation, colony formation, transwell, and wound healing assays were performed to examine the biological function of AC006160.1 in T24 and BIU-87 cell lines. Results. Two clusters were identified through consensus clustering based on prognostic ferroptosis-related lncRNAs. A 5-lncRNA risk signature was successfully constructed using data from the training cohort and validated using data from the test cohort. The risk signature had excellent ability to predict survival outcomes, clinical stages, pathological grades, expression of immune checkpoints, and immunotherapeutic responses in bladder cancer samples. Furthermore, AC006160.1 expression was found to be lower in the cancer cell lines BIU-87, T24, RT4, RT-112, and 5637 than in the normal control cell line SV-HUC-1. Cell proliferation, colony formation, transwell migration, and wound healing assays validated that overexpression of AC006160.1 significantly inhibited the proliferation and invasion abilities of both T24 and BIU-87 cells. Drug sensitivity analysis revealed that patients with high expression of AC006160.1 were sensitive to metformin and methotrexate, and the results were further validated via in vitro drug experiments. Conclusions. Ferroptosis-related lncRNAs play a vital role in predicting the multiomic characteristics of bladder cancer. The lncRNA AC006160.1 serves as a protective factor for the development of bladder cancer.</description><subject>Algorithms</subject><subject>Apoptosis</subject><subject>Bladder cancer</subject><subject>Cell cycle</subject><subject>Chemotherapy</subject><subject>Correlation analysis</subject><subject>Ferroptosis</subject><subject>Gene expression</subject><subject>Immunotherapy</subject><subject>Leukemia</subject><subject>Liver cancer</subject><subject>Lung cancer</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Regression analysis</subject><subject>Survival analysis</subject><issn>1942-0900</issn><issn>1942-0994</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNp9kd9rFDEQxxdRbK2--QcEfBF0bX5tNnkRzqO1wlml6HPIJpNeyt7mmmSr99-b446CPjgvM8x8-DIz36Z5TfAHQrrunGJKzxUjQvL-SXNKFKctVoo_fawxPmle5HyHsWCUk-fNCRO4J1J0p83uElKK2xJzyO0NjKaAQ6s43aLrONnoQq1urhcZXZkHQBe_LYwjTAV9T-CCLaE2F0MYQ9khHxP6Oo8lxE2waLk2ydgCKeQSbEbRo0-jcQ4SWprJQnrZPPNmzPDqmM-an5cXP5ZX7erb5y_Lxaq1nHal9VJa6OuhhgmJvRmcsoPtTe8w6xU2knHwCmoYLpkXMGArAXsPCqRxHTtrPh50t_OwAWfr9smMepvCxqSdjibovydTWOvb-KAVr9GLKvD2KJDi_Qy56E3I-z-YCeKcNe0JkZwIQSv65h_0Ls5pquftKSoE54RV6v2BsinmnMA_LkOw3nuq957qo6cVf3fA12Fy5lf4P_0HmkWiLw</recordid><startdate>20220829</startdate><enddate>20220829</enddate><creator>Liu, Jingchao</creator><creator>Cui, Jingyi</creator><creator>Zhao, Shuangyi</creator><creator>Wu, Meng</creator><creator>Wang, Jiawen</creator><creator>Zhang, Yaoguang</creator><creator>Jin, Bin</creator><creator>Wang, Jianye</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9815-5005</orcidid><orcidid>https://orcid.org/0000-0003-0870-7441</orcidid><orcidid>https://orcid.org/0000-0001-5534-2727</orcidid><orcidid>https://orcid.org/0000-0001-5713-6337</orcidid><orcidid>https://orcid.org/0000-0003-1965-4138</orcidid><orcidid>https://orcid.org/0000-0001-6092-7105</orcidid><orcidid>https://orcid.org/0000-0003-0868-9300</orcidid></search><sort><creationdate>20220829</creationdate><title>Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer</title><author>Liu, Jingchao ; Cui, Jingyi ; Zhao, Shuangyi ; Wu, Meng ; Wang, Jiawen ; Zhang, Yaoguang ; Jin, Bin ; Wang, Jianye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-f88ce7155a3680fabd9cbc7a7d03790a834ef9eeeea483f6eb0c8e0ffe9e8ad53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Apoptosis</topic><topic>Bladder cancer</topic><topic>Cell cycle</topic><topic>Chemotherapy</topic><topic>Correlation analysis</topic><topic>Ferroptosis</topic><topic>Gene expression</topic><topic>Immunotherapy</topic><topic>Leukemia</topic><topic>Liver cancer</topic><topic>Lung cancer</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Regression analysis</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jingchao</creatorcontrib><creatorcontrib>Cui, Jingyi</creatorcontrib><creatorcontrib>Zhao, Shuangyi</creatorcontrib><creatorcontrib>Wu, Meng</creatorcontrib><creatorcontrib>Wang, Jiawen</creatorcontrib><creatorcontrib>Zhang, Yaoguang</creatorcontrib><creatorcontrib>Jin, Bin</creatorcontrib><creatorcontrib>Wang, Jianye</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</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 Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oxidative medicine and cellular longevity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jingchao</au><au>Cui, Jingyi</au><au>Zhao, Shuangyi</au><au>Wu, Meng</au><au>Wang, Jiawen</au><au>Zhang, Yaoguang</au><au>Jin, Bin</au><au>Wang, Jianye</au><au>Luo, Lianxiang</au><au>Lianxiang Luo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer</atitle><jtitle>Oxidative medicine and cellular longevity</jtitle><date>2022-08-29</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>30</epage><pages>1-30</pages><issn>1942-0900</issn><eissn>1942-0994</eissn><abstract>Background. The role of ferroptosis-related long non-coding RNAs (lncRNAs) in bladder cancer remains elusive. This study is aimed at examining the prognostic role of ferroptosis-related lncRNAs in bladder cancer. Materials and Methods. The transcriptomic matrix and clinical information of patients with bladder cancer were obtained from The Cancer Genome Atlas (TCGA) database. A ferroptosis-related lncRNA signature was developed via the least absolute shrinkage and selection operator (LASSO) analysis using data from the training cohort, and the signature was further validated using data from the test cohort. The role of AC006160.1, the most significant lncRNA in the risk signature, was examined in various cell lines including SV-HUC-1, BIU-87, HT-1376, T24, RT4, RT-112, 5637, and UMUC3. The pcDNA3.1-AC006160.1 plasmid was constructed and transfected into the bladder cancer cell lines T24 and BIU-87. In addition, cell proliferation, colony formation, transwell, and wound healing assays were performed to examine the biological function of AC006160.1 in T24 and BIU-87 cell lines. Results. Two clusters were identified through consensus clustering based on prognostic ferroptosis-related lncRNAs. A 5-lncRNA risk signature was successfully constructed using data from the training cohort and validated using data from the test cohort. The risk signature had excellent ability to predict survival outcomes, clinical stages, pathological grades, expression of immune checkpoints, and immunotherapeutic responses in bladder cancer samples. Furthermore, AC006160.1 expression was found to be lower in the cancer cell lines BIU-87, T24, RT4, RT-112, and 5637 than in the normal control cell line SV-HUC-1. Cell proliferation, colony formation, transwell migration, and wound healing assays validated that overexpression of AC006160.1 significantly inhibited the proliferation and invasion abilities of both T24 and BIU-87 cells. Drug sensitivity analysis revealed that patients with high expression of AC006160.1 were sensitive to metformin and methotrexate, and the results were further validated via in vitro drug experiments. Conclusions. Ferroptosis-related lncRNAs play a vital role in predicting the multiomic characteristics of bladder cancer. The lncRNA AC006160.1 serves as a protective factor for the development of bladder cancer.</abstract><cop>New York</cop><pub>Hindawi</pub><pmid>36071865</pmid><doi>10.1155/2022/9316847</doi><tpages>30</tpages><orcidid>https://orcid.org/0000-0002-9815-5005</orcidid><orcidid>https://orcid.org/0000-0003-0870-7441</orcidid><orcidid>https://orcid.org/0000-0001-5534-2727</orcidid><orcidid>https://orcid.org/0000-0001-5713-6337</orcidid><orcidid>https://orcid.org/0000-0003-1965-4138</orcidid><orcidid>https://orcid.org/0000-0001-6092-7105</orcidid><orcidid>https://orcid.org/0000-0003-0868-9300</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Apoptosis Bladder cancer Cell cycle Chemotherapy Correlation analysis Ferroptosis Gene expression Immunotherapy Leukemia Liver cancer Lung cancer Medical prognosis Metastasis Regression analysis Survival analysis |
title | Ferroptosis-Related Long Noncoding RNAs Have Excellent Predictive Ability for Multiomic Characteristics of Bladder Cancer |
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