Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation
Objectives This study aims to develop and validate a prognostic signature based on 7-methylguanosine-related (M7G-related) miRNAs for predicting prognosis and immune implications in breast invasive carcinoma (BRCA). Materials and methods M7G-related miRNA data of BRCA were obtained from The Cancer G...
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| Veröffentlicht in: | Journal of cancer research and clinical oncology 2023-09, Vol.149 (11), p.9105-9128 |
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| container_title | Journal of cancer research and clinical oncology |
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| creator | Li, Ao-Yu Xiao, Hui-Ni Zhao, Zi-Yue Xiang, Cheng Chen, Zhuo-yuan Wang, Ping-xiao Xia, Yu Yu, Bin Li, Hui Xiao, Tao |
| description | Objectives
This study aims to develop and validate a prognostic signature based on 7-methylguanosine-related (M7G-related) miRNAs for predicting prognosis and immune implications in breast invasive carcinoma (BRCA).
Materials and methods
M7G-related miRNA data of BRCA were obtained from The Cancer Genome Atlas (TCGA). Least absolute shrinkage and selection operator (LASSO)-penalized, univariate, and multivariate Cox regression analyses were used to construct the prognostic signature. Furthermore, the predictive validity was verified using Kaplan–Meier (KM) survival risk and receiver operating characteristic (ROC) plots. Internal random sampling verification was used to simplify and validate the signature. RT-qPCR was used to quantify the expression level of transcriptional profiles. The independent prognostic role of the risk score was validated using univariate and multivariate regression. Single-sample Gene Set Enrichment Analysis (ssGSEA) was used for functional and immune enrichment analysis.
Results
A total of 18 M7G-related miRNAs were identified to construct the prognostic signature in BRCA. The low-risk group exhibited significantly higher overall survival than the high-risk group in the KM survival plot (P |
| doi_str_mv | 10.1007/s00432-023-04849-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2813565203</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2813565203</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-e4258b919b34381eddd95696a8bce59626afc5b040de478c5853743068a043aa3</originalsourceid><addsrcrecordid>eNp9kU2LFDEQhoMo7jj6BzxIwIuXaD77w9uyrB-wqIiem-p09ZglnYxJenB_iX_X7Myq4MFTpaqeeivUS8hTwV8KzttXmXOtJONSMa473TNxj2zEbUkoZe6TDRetYEaK5ow8yvma19y08iE5U23tNMJsyM9PKe5CzMVZCmGiblnWgDXsvbNQXAyZxpkCDfGAnrZswfLtxu9WqEMuIEvooeBEF2dT_PzhnGa3C1DWVEUCHRNCLvV1gOwOSC0k60Jc4DWdU1wo_tj7mI57aIn0AN5Nx-wxeTCDz_jkLm7J1zeXXy7esauPb99fnF8xq1pTGGppurEX_ai06gRO09Sbpm-gGy2avpENzNaMXPMJddtZ0xnVasWbDurtANSWvDjp7lP8vmIuw-KyRe8hYFzzIDuhTGMkVxV9_g96HdcU6u8qpWXT676qb4k8UfUcOSech31yC6SbQfDh1rbhZNtQbRuOtg2iDj27k17HBac_I799qoA6Abm2wg7T393_kf0FXY2k_g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2842694985</pqid></control><display><type>article</type><title>Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Li, Ao-Yu ; Xiao, Hui-Ni ; Zhao, Zi-Yue ; Xiang, Cheng ; Chen, Zhuo-yuan ; Wang, Ping-xiao ; Xia, Yu ; Yu, Bin ; Li, Hui ; Xiao, Tao</creator><creatorcontrib>Li, Ao-Yu ; Xiao, Hui-Ni ; Zhao, Zi-Yue ; Xiang, Cheng ; Chen, Zhuo-yuan ; Wang, Ping-xiao ; Xia, Yu ; Yu, Bin ; Li, Hui ; Xiao, Tao</creatorcontrib><description>Objectives
This study aims to develop and validate a prognostic signature based on 7-methylguanosine-related (M7G-related) miRNAs for predicting prognosis and immune implications in breast invasive carcinoma (BRCA).
Materials and methods
M7G-related miRNA data of BRCA were obtained from The Cancer Genome Atlas (TCGA). Least absolute shrinkage and selection operator (LASSO)-penalized, univariate, and multivariate Cox regression analyses were used to construct the prognostic signature. Furthermore, the predictive validity was verified using Kaplan–Meier (KM) survival risk and receiver operating characteristic (ROC) plots. Internal random sampling verification was used to simplify and validate the signature. RT-qPCR was used to quantify the expression level of transcriptional profiles. The independent prognostic role of the risk score was validated using univariate and multivariate regression. Single-sample Gene Set Enrichment Analysis (ssGSEA) was used for functional and immune enrichment analysis.
Results
A total of 18 M7G-related miRNAs were identified to construct the prognostic signature in BRCA. The low-risk group exhibited significantly higher overall survival than the high-risk group in the KM survival plot (P < 0.001). The area under the curve (AUC) for 1-, 3-, and 5-year survivals in the ROC curve were 0.737, 0.724, and 0.702, respectively. The survival significance in the training and testing cohorts was confirmed by random sampling verification. The most prominent miRNAs in the signature were the miR-7, miR-139, miR-10b, and miR-4728. Furthermore, immune scores for B, mast, and Th1 cells varied between risk groups. Our research demonstrated that CD52 was the most positively correlated gene with immune cells and functions in BRCA.
Conclusion
Our study presents a comprehensive and systematic analysis of M7G-related miRNAs to construct a prognostic signature in BRCA. The signature demonstrated excellent prognostic validity, with the risk score as an independent prognostic factor. These results provide critical evidence for further investigation of M7G miRNAs and offer new insights for BRCA patients in the context of effective immunotherapy.</description><identifier>ISSN: 0171-5216</identifier><identifier>ISSN: 1432-1335</identifier><identifier>EISSN: 1432-1335</identifier><identifier>DOI: 10.1007/s00432-023-04849-1</identifier><identifier>PMID: 37171615</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Breast ; Breast cancer ; Breast carcinoma ; Breast Neoplasms - genetics ; Cancer Research ; Carcinoma ; Female ; Gene set enrichment analysis ; Genomes ; Hematology ; Humans ; Immunotherapy ; Internal Medicine ; Invasiveness ; Lymphocytes T ; Medical prognosis ; Medicine ; Medicine & Public Health ; MicroRNAs ; MicroRNAs - genetics ; miRNA ; Oncology ; Prognosis ; Risk groups ; Statistical sampling</subject><ispartof>Journal of cancer research and clinical oncology, 2023-09, Vol.149 (11), p.9105-9128</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-e4258b919b34381eddd95696a8bce59626afc5b040de478c5853743068a043aa3</citedby><cites>FETCH-LOGICAL-c375t-e4258b919b34381eddd95696a8bce59626afc5b040de478c5853743068a043aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00432-023-04849-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00432-023-04849-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37171615$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Ao-Yu</creatorcontrib><creatorcontrib>Xiao, Hui-Ni</creatorcontrib><creatorcontrib>Zhao, Zi-Yue</creatorcontrib><creatorcontrib>Xiang, Cheng</creatorcontrib><creatorcontrib>Chen, Zhuo-yuan</creatorcontrib><creatorcontrib>Wang, Ping-xiao</creatorcontrib><creatorcontrib>Xia, Yu</creatorcontrib><creatorcontrib>Yu, Bin</creatorcontrib><creatorcontrib>Li, Hui</creatorcontrib><creatorcontrib>Xiao, Tao</creatorcontrib><title>Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation</title><title>Journal of cancer research and clinical oncology</title><addtitle>J Cancer Res Clin Oncol</addtitle><addtitle>J Cancer Res Clin Oncol</addtitle><description>Objectives
This study aims to develop and validate a prognostic signature based on 7-methylguanosine-related (M7G-related) miRNAs for predicting prognosis and immune implications in breast invasive carcinoma (BRCA).
Materials and methods
M7G-related miRNA data of BRCA were obtained from The Cancer Genome Atlas (TCGA). Least absolute shrinkage and selection operator (LASSO)-penalized, univariate, and multivariate Cox regression analyses were used to construct the prognostic signature. Furthermore, the predictive validity was verified using Kaplan–Meier (KM) survival risk and receiver operating characteristic (ROC) plots. Internal random sampling verification was used to simplify and validate the signature. RT-qPCR was used to quantify the expression level of transcriptional profiles. The independent prognostic role of the risk score was validated using univariate and multivariate regression. Single-sample Gene Set Enrichment Analysis (ssGSEA) was used for functional and immune enrichment analysis.
Results
A total of 18 M7G-related miRNAs were identified to construct the prognostic signature in BRCA. The low-risk group exhibited significantly higher overall survival than the high-risk group in the KM survival plot (P < 0.001). The area under the curve (AUC) for 1-, 3-, and 5-year survivals in the ROC curve were 0.737, 0.724, and 0.702, respectively. The survival significance in the training and testing cohorts was confirmed by random sampling verification. The most prominent miRNAs in the signature were the miR-7, miR-139, miR-10b, and miR-4728. Furthermore, immune scores for B, mast, and Th1 cells varied between risk groups. Our research demonstrated that CD52 was the most positively correlated gene with immune cells and functions in BRCA.
Conclusion
Our study presents a comprehensive and systematic analysis of M7G-related miRNAs to construct a prognostic signature in BRCA. The signature demonstrated excellent prognostic validity, with the risk score as an independent prognostic factor. These results provide critical evidence for further investigation of M7G miRNAs and offer new insights for BRCA patients in the context of effective immunotherapy.</description><subject>Breast</subject><subject>Breast cancer</subject><subject>Breast carcinoma</subject><subject>Breast Neoplasms - genetics</subject><subject>Cancer Research</subject><subject>Carcinoma</subject><subject>Female</subject><subject>Gene set enrichment analysis</subject><subject>Genomes</subject><subject>Hematology</subject><subject>Humans</subject><subject>Immunotherapy</subject><subject>Internal Medicine</subject><subject>Invasiveness</subject><subject>Lymphocytes T</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Oncology</subject><subject>Prognosis</subject><subject>Risk groups</subject><subject>Statistical sampling</subject><issn>0171-5216</issn><issn>1432-1335</issn><issn>1432-1335</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</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>eNp9kU2LFDEQhoMo7jj6BzxIwIuXaD77w9uyrB-wqIiem-p09ZglnYxJenB_iX_X7Myq4MFTpaqeeivUS8hTwV8KzttXmXOtJONSMa473TNxj2zEbUkoZe6TDRetYEaK5ow8yvma19y08iE5U23tNMJsyM9PKe5CzMVZCmGiblnWgDXsvbNQXAyZxpkCDfGAnrZswfLtxu9WqEMuIEvooeBEF2dT_PzhnGa3C1DWVEUCHRNCLvV1gOwOSC0k60Jc4DWdU1wo_tj7mI57aIn0AN5Nx-wxeTCDz_jkLm7J1zeXXy7esauPb99fnF8xq1pTGGppurEX_ai06gRO09Sbpm-gGy2avpENzNaMXPMJddtZ0xnVasWbDurtANSWvDjp7lP8vmIuw-KyRe8hYFzzIDuhTGMkVxV9_g96HdcU6u8qpWXT676qb4k8UfUcOSech31yC6SbQfDh1rbhZNtQbRuOtg2iDj27k17HBac_I799qoA6Abm2wg7T393_kf0FXY2k_g</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Li, Ao-Yu</creator><creator>Xiao, Hui-Ni</creator><creator>Zhao, Zi-Yue</creator><creator>Xiang, Cheng</creator><creator>Chen, Zhuo-yuan</creator><creator>Wang, Ping-xiao</creator><creator>Xia, Yu</creator><creator>Yu, Bin</creator><creator>Li, Hui</creator><creator>Xiao, Tao</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</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>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20230901</creationdate><title>Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation</title><author>Li, Ao-Yu ; Xiao, Hui-Ni ; Zhao, Zi-Yue ; Xiang, Cheng ; Chen, Zhuo-yuan ; Wang, Ping-xiao ; Xia, Yu ; Yu, Bin ; Li, Hui ; Xiao, Tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-e4258b919b34381eddd95696a8bce59626afc5b040de478c5853743068a043aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Breast</topic><topic>Breast cancer</topic><topic>Breast carcinoma</topic><topic>Breast Neoplasms - genetics</topic><topic>Cancer Research</topic><topic>Carcinoma</topic><topic>Female</topic><topic>Gene set enrichment analysis</topic><topic>Genomes</topic><topic>Hematology</topic><topic>Humans</topic><topic>Immunotherapy</topic><topic>Internal Medicine</topic><topic>Invasiveness</topic><topic>Lymphocytes T</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Oncology</topic><topic>Prognosis</topic><topic>Risk groups</topic><topic>Statistical sampling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Ao-Yu</creatorcontrib><creatorcontrib>Xiao, Hui-Ni</creatorcontrib><creatorcontrib>Zhao, Zi-Yue</creatorcontrib><creatorcontrib>Xiang, Cheng</creatorcontrib><creatorcontrib>Chen, Zhuo-yuan</creatorcontrib><creatorcontrib>Wang, Ping-xiao</creatorcontrib><creatorcontrib>Xia, Yu</creatorcontrib><creatorcontrib>Yu, Bin</creatorcontrib><creatorcontrib>Li, Hui</creatorcontrib><creatorcontrib>Xiao, Tao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</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>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>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</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 Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cancer research and clinical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Ao-Yu</au><au>Xiao, Hui-Ni</au><au>Zhao, Zi-Yue</au><au>Xiang, Cheng</au><au>Chen, Zhuo-yuan</au><au>Wang, Ping-xiao</au><au>Xia, Yu</au><au>Yu, Bin</au><au>Li, Hui</au><au>Xiao, Tao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation</atitle><jtitle>Journal of cancer research and clinical oncology</jtitle><stitle>J Cancer Res Clin Oncol</stitle><addtitle>J Cancer Res Clin Oncol</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>149</volume><issue>11</issue><spage>9105</spage><epage>9128</epage><pages>9105-9128</pages><issn>0171-5216</issn><issn>1432-1335</issn><eissn>1432-1335</eissn><abstract>Objectives
This study aims to develop and validate a prognostic signature based on 7-methylguanosine-related (M7G-related) miRNAs for predicting prognosis and immune implications in breast invasive carcinoma (BRCA).
Materials and methods
M7G-related miRNA data of BRCA were obtained from The Cancer Genome Atlas (TCGA). Least absolute shrinkage and selection operator (LASSO)-penalized, univariate, and multivariate Cox regression analyses were used to construct the prognostic signature. Furthermore, the predictive validity was verified using Kaplan–Meier (KM) survival risk and receiver operating characteristic (ROC) plots. Internal random sampling verification was used to simplify and validate the signature. RT-qPCR was used to quantify the expression level of transcriptional profiles. The independent prognostic role of the risk score was validated using univariate and multivariate regression. Single-sample Gene Set Enrichment Analysis (ssGSEA) was used for functional and immune enrichment analysis.
Results
A total of 18 M7G-related miRNAs were identified to construct the prognostic signature in BRCA. The low-risk group exhibited significantly higher overall survival than the high-risk group in the KM survival plot (P < 0.001). The area under the curve (AUC) for 1-, 3-, and 5-year survivals in the ROC curve were 0.737, 0.724, and 0.702, respectively. The survival significance in the training and testing cohorts was confirmed by random sampling verification. The most prominent miRNAs in the signature were the miR-7, miR-139, miR-10b, and miR-4728. Furthermore, immune scores for B, mast, and Th1 cells varied between risk groups. Our research demonstrated that CD52 was the most positively correlated gene with immune cells and functions in BRCA.
Conclusion
Our study presents a comprehensive and systematic analysis of M7G-related miRNAs to construct a prognostic signature in BRCA. The signature demonstrated excellent prognostic validity, with the risk score as an independent prognostic factor. These results provide critical evidence for further investigation of M7G miRNAs and offer new insights for BRCA patients in the context of effective immunotherapy.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37171615</pmid><doi>10.1007/s00432-023-04849-1</doi><tpages>24</tpages></addata></record> |
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| subjects | Breast Breast cancer Breast carcinoma Breast Neoplasms - genetics Cancer Research Carcinoma Female Gene set enrichment analysis Genomes Hematology Humans Immunotherapy Internal Medicine Invasiveness Lymphocytes T Medical prognosis Medicine Medicine & Public Health MicroRNAs MicroRNAs - genetics miRNA Oncology Prognosis Risk groups Statistical sampling |
| title | Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation |
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