Development and validation of a predictive model for penile cancer based on the surveillance, epidemiology, and end results database and multi-center cases
Purpose Penile cancer (PC) is a great impact on the quality of life and psychological status of patients. This study aimed to construct nomograms using data from the Surveillance, Epidemiology, and End Results (SEER) database to predict overall survival (OS) and cancer-specific survival (CSS) in pat...
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| Veröffentlicht in: | Journal of cancer research and clinical oncology 2023-11, Vol.149 (15), p.13665-13676 |
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| container_title | Journal of cancer research and clinical oncology |
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| creator | Yang, Shujun Chang, Wei Zhang, Bin Hou, Qian Zhang, Biao Kang, Yindong Yin, Yongsheng Wan, Jianghou Shang, Panfeng |
| description | Purpose
Penile cancer (PC) is a great impact on the quality of life and psychological status of patients. This study aimed to construct nomograms using data from the Surveillance, Epidemiology, and End Results (SEER) database to predict overall survival (OS) and cancer-specific survival (CSS) in patients with penile cancer (PC).
Methods
Patients were divided into a training cohort (n = 634) and a validation cohort (n = 272) in a 7:3 ratio. Independent risk factors influencing the prognosis of PC were screened using univariate and multivariate Cox analyses, and models for predicting PC were developed. Data from 203 patients with PC in four tertiary hospitals in Gansu Province from 2012 to 2021 were externally validated.
Results
Univariate analysis and multivariate analysis showed revealed that the OS-related factors were age, grade, T stage, N stage, M stage and tumor size (
p
|
| doi_str_mv | 10.1007/s00432-023-04784-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2844095353</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2879630687</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-9335d93b762bcc6a4924d62957a4161031a467e210792c019895144295065c813</originalsourceid><addsrcrecordid>eNp9kc9uFDEMxiMEotvCC3BAkbhw6ED-Z3JEBUqlSr2Uc5RNvCVVZjIkMyv1WXjZZnYLSBw4RFbsnz_b-hB6Q8kHSoj-WAkRnHWE8Y4I3YuOPkMbuqYo5_I52hCqaScZVSfotNZ70v5Ss5fohGvJmGFqg359hj2kPA0wztiNAe9disHNMY8477DDU4EQ_Rz3gIccIOFdLniCMSbA3o0eCt66CgG3hvkH4LqUPcSU1tI5hikGGGJO-e7h_KAP7RWoS5orbnPc2nwoDC0VO9_2aJK-Zesr9GLnUoXXT_EMff_65fbiW3d9c3l18em68-2OuTPt2GD4Viu29V45YZgIihmpnaCKEk6dUBoYJdowT6jpjaRCNIAo6XvKz9D7o-5U8s8F6myHWD2sN0BeqmW9EMRILnlD3_2D3ueljG27RmmjOFG9bhQ7Ur7kWgvs7FTi4MqDpcSu1tmjdbZZZw_W2XWLt0_Sy3aA8Kflt1cN4EegttJ4B-Xv7P_IPgIO0aOr</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2879630687</pqid></control><display><type>article</type><title>Development and validation of a predictive model for penile cancer based on the surveillance, epidemiology, and end results database and multi-center cases</title><source>SpringerLink Journals - AutoHoldings</source><creator>Yang, Shujun ; Chang, Wei ; Zhang, Bin ; Hou, Qian ; Zhang, Biao ; Kang, Yindong ; Yin, Yongsheng ; Wan, Jianghou ; Shang, Panfeng</creator><creatorcontrib>Yang, Shujun ; Chang, Wei ; Zhang, Bin ; Hou, Qian ; Zhang, Biao ; Kang, Yindong ; Yin, Yongsheng ; Wan, Jianghou ; Shang, Panfeng</creatorcontrib><description>Purpose
Penile cancer (PC) is a great impact on the quality of life and psychological status of patients. This study aimed to construct nomograms using data from the Surveillance, Epidemiology, and End Results (SEER) database to predict overall survival (OS) and cancer-specific survival (CSS) in patients with penile cancer (PC).
Methods
Patients were divided into a training cohort (n = 634) and a validation cohort (n = 272) in a 7:3 ratio. Independent risk factors influencing the prognosis of PC were screened using univariate and multivariate Cox analyses, and models for predicting PC were developed. Data from 203 patients with PC in four tertiary hospitals in Gansu Province from 2012 to 2021 were externally validated.
Results
Univariate analysis and multivariate analysis showed revealed that the OS-related factors were age, grade, T stage, N stage, M stage and tumor size (
p
< 0.05); the CSS-related factors were age, mode of surgery, T stage, N stage, M stage and tumor size (
p
< 0.05). The C-indices of the OS and CSS nomograms in the training cohort were 0.743 [95% confidence interval (CI) (0.714–0.772)] and 0.797 (0.762–0.832), respectively. The C-indices of the OS and CSS nomograms in the internal validation cohort were 0.735 (0.686–0.784) and 0.755 (0.688–0.822), respectively, and those in the external validation cohort were 0.801 (0.746–0.856) and 0.863 (0.812–0.914), respectively. Receiver operating characteristic (ROC) curves, calibration curves, and survival curves all demonstrated good predictive performance of the nomograms.
Conclusion
The nomograms for PC were developed using the SEER database. The accuracy and clinical usefulness of the model were validated through a combination of internal and external validations.</description><identifier>ISSN: 0171-5216</identifier><identifier>EISSN: 1432-1335</identifier><identifier>DOI: 10.1007/s00432-023-04784-1</identifier><identifier>PMID: 37522926</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Cancer ; Cancer Research ; Epidemiology ; Genital cancers ; Hematology ; Internal Medicine ; Medical prognosis ; Medicine ; Medicine & Public Health ; Multivariate analysis ; Nomograms ; Oncology ; Patients ; Penis ; Prediction models ; Quality of life ; Risk factors ; Surveillance ; Survival ; Tumors</subject><ispartof>Journal of cancer research and clinical oncology, 2023-11, Vol.149 (15), p.13665-13676</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-9335d93b762bcc6a4924d62957a4161031a467e210792c019895144295065c813</citedby><cites>FETCH-LOGICAL-c375t-9335d93b762bcc6a4924d62957a4161031a467e210792c019895144295065c813</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/s00432-023-04784-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00432-023-04784-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37522926$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Shujun</creatorcontrib><creatorcontrib>Chang, Wei</creatorcontrib><creatorcontrib>Zhang, Bin</creatorcontrib><creatorcontrib>Hou, Qian</creatorcontrib><creatorcontrib>Zhang, Biao</creatorcontrib><creatorcontrib>Kang, Yindong</creatorcontrib><creatorcontrib>Yin, Yongsheng</creatorcontrib><creatorcontrib>Wan, Jianghou</creatorcontrib><creatorcontrib>Shang, Panfeng</creatorcontrib><title>Development and validation of a predictive model for penile cancer based on the surveillance, epidemiology, and end results database and multi-center cases</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>Purpose
Penile cancer (PC) is a great impact on the quality of life and psychological status of patients. This study aimed to construct nomograms using data from the Surveillance, Epidemiology, and End Results (SEER) database to predict overall survival (OS) and cancer-specific survival (CSS) in patients with penile cancer (PC).
Methods
Patients were divided into a training cohort (n = 634) and a validation cohort (n = 272) in a 7:3 ratio. Independent risk factors influencing the prognosis of PC were screened using univariate and multivariate Cox analyses, and models for predicting PC were developed. Data from 203 patients with PC in four tertiary hospitals in Gansu Province from 2012 to 2021 were externally validated.
Results
Univariate analysis and multivariate analysis showed revealed that the OS-related factors were age, grade, T stage, N stage, M stage and tumor size (
p
< 0.05); the CSS-related factors were age, mode of surgery, T stage, N stage, M stage and tumor size (
p
< 0.05). The C-indices of the OS and CSS nomograms in the training cohort were 0.743 [95% confidence interval (CI) (0.714–0.772)] and 0.797 (0.762–0.832), respectively. The C-indices of the OS and CSS nomograms in the internal validation cohort were 0.735 (0.686–0.784) and 0.755 (0.688–0.822), respectively, and those in the external validation cohort were 0.801 (0.746–0.856) and 0.863 (0.812–0.914), respectively. Receiver operating characteristic (ROC) curves, calibration curves, and survival curves all demonstrated good predictive performance of the nomograms.
Conclusion
The nomograms for PC were developed using the SEER database. The accuracy and clinical usefulness of the model were validated through a combination of internal and external validations.</description><subject>Cancer</subject><subject>Cancer Research</subject><subject>Epidemiology</subject><subject>Genital cancers</subject><subject>Hematology</subject><subject>Internal Medicine</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multivariate analysis</subject><subject>Nomograms</subject><subject>Oncology</subject><subject>Patients</subject><subject>Penis</subject><subject>Prediction models</subject><subject>Quality of life</subject><subject>Risk factors</subject><subject>Surveillance</subject><subject>Survival</subject><subject>Tumors</subject><issn>0171-5216</issn><issn>1432-1335</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><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>eNp9kc9uFDEMxiMEotvCC3BAkbhw6ED-Z3JEBUqlSr2Uc5RNvCVVZjIkMyv1WXjZZnYLSBw4RFbsnz_b-hB6Q8kHSoj-WAkRnHWE8Y4I3YuOPkMbuqYo5_I52hCqaScZVSfotNZ70v5Ss5fohGvJmGFqg359hj2kPA0wztiNAe9disHNMY8477DDU4EQ_Rz3gIccIOFdLniCMSbA3o0eCt66CgG3hvkH4LqUPcSU1tI5hikGGGJO-e7h_KAP7RWoS5orbnPc2nwoDC0VO9_2aJK-Zesr9GLnUoXXT_EMff_65fbiW3d9c3l18em68-2OuTPt2GD4Viu29V45YZgIihmpnaCKEk6dUBoYJdowT6jpjaRCNIAo6XvKz9D7o-5U8s8F6myHWD2sN0BeqmW9EMRILnlD3_2D3ueljG27RmmjOFG9bhQ7Ur7kWgvs7FTi4MqDpcSu1tmjdbZZZw_W2XWLt0_Sy3aA8Kflt1cN4EegttJ4B-Xv7P_IPgIO0aOr</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Yang, Shujun</creator><creator>Chang, Wei</creator><creator>Zhang, Bin</creator><creator>Hou, Qian</creator><creator>Zhang, Biao</creator><creator>Kang, Yindong</creator><creator>Yin, Yongsheng</creator><creator>Wan, Jianghou</creator><creator>Shang, Panfeng</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>20231101</creationdate><title>Development and validation of a predictive model for penile cancer based on the surveillance, epidemiology, and end results database and multi-center cases</title><author>Yang, Shujun ; Chang, Wei ; Zhang, Bin ; Hou, Qian ; Zhang, Biao ; Kang, Yindong ; Yin, Yongsheng ; Wan, Jianghou ; Shang, Panfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-9335d93b762bcc6a4924d62957a4161031a467e210792c019895144295065c813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cancer</topic><topic>Cancer Research</topic><topic>Epidemiology</topic><topic>Genital cancers</topic><topic>Hematology</topic><topic>Internal Medicine</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multivariate analysis</topic><topic>Nomograms</topic><topic>Oncology</topic><topic>Patients</topic><topic>Penis</topic><topic>Prediction models</topic><topic>Quality of life</topic><topic>Risk factors</topic><topic>Surveillance</topic><topic>Survival</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Shujun</creatorcontrib><creatorcontrib>Chang, Wei</creatorcontrib><creatorcontrib>Zhang, Bin</creatorcontrib><creatorcontrib>Hou, Qian</creatorcontrib><creatorcontrib>Zhang, Biao</creatorcontrib><creatorcontrib>Kang, Yindong</creatorcontrib><creatorcontrib>Yin, Yongsheng</creatorcontrib><creatorcontrib>Wan, Jianghou</creatorcontrib><creatorcontrib>Shang, Panfeng</creatorcontrib><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>Yang, Shujun</au><au>Chang, Wei</au><au>Zhang, Bin</au><au>Hou, Qian</au><au>Zhang, Biao</au><au>Kang, Yindong</au><au>Yin, Yongsheng</au><au>Wan, Jianghou</au><au>Shang, Panfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and validation of a predictive model for penile cancer based on the surveillance, epidemiology, and end results database and multi-center cases</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>2023-11-01</date><risdate>2023</risdate><volume>149</volume><issue>15</issue><spage>13665</spage><epage>13676</epage><pages>13665-13676</pages><issn>0171-5216</issn><eissn>1432-1335</eissn><abstract>Purpose
Penile cancer (PC) is a great impact on the quality of life and psychological status of patients. This study aimed to construct nomograms using data from the Surveillance, Epidemiology, and End Results (SEER) database to predict overall survival (OS) and cancer-specific survival (CSS) in patients with penile cancer (PC).
Methods
Patients were divided into a training cohort (n = 634) and a validation cohort (n = 272) in a 7:3 ratio. Independent risk factors influencing the prognosis of PC were screened using univariate and multivariate Cox analyses, and models for predicting PC were developed. Data from 203 patients with PC in four tertiary hospitals in Gansu Province from 2012 to 2021 were externally validated.
Results
Univariate analysis and multivariate analysis showed revealed that the OS-related factors were age, grade, T stage, N stage, M stage and tumor size (
p
< 0.05); the CSS-related factors were age, mode of surgery, T stage, N stage, M stage and tumor size (
p
< 0.05). The C-indices of the OS and CSS nomograms in the training cohort were 0.743 [95% confidence interval (CI) (0.714–0.772)] and 0.797 (0.762–0.832), respectively. The C-indices of the OS and CSS nomograms in the internal validation cohort were 0.735 (0.686–0.784) and 0.755 (0.688–0.822), respectively, and those in the external validation cohort were 0.801 (0.746–0.856) and 0.863 (0.812–0.914), respectively. Receiver operating characteristic (ROC) curves, calibration curves, and survival curves all demonstrated good predictive performance of the nomograms.
Conclusion
The nomograms for PC were developed using the SEER database. The accuracy and clinical usefulness of the model were validated through a combination of internal and external validations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37522926</pmid><doi>10.1007/s00432-023-04784-1</doi><tpages>12</tpages></addata></record> |
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| subjects | Cancer Cancer Research Epidemiology Genital cancers Hematology Internal Medicine Medical prognosis Medicine Medicine & Public Health Multivariate analysis Nomograms Oncology Patients Penis Prediction models Quality of life Risk factors Surveillance Survival Tumors |
| title | Development and validation of a predictive model for penile cancer based on the surveillance, epidemiology, and end results database and multi-center cases |
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