Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database
Background. Although epithelioid hemangioendothelioma (EHE) is a rare and aggressive vascular tumor, its demographic characteristics remain unclear. We used the surveillance, epidemiology, and end results (SEER) database to determine the clinical features, incidence, and prognostic factors associate...
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| description | Background. Although epithelioid hemangioendothelioma (EHE) is a rare and aggressive vascular tumor, its demographic characteristics remain unclear. We used the surveillance, epidemiology, and end results (SEER) database to determine the clinical features, incidence, and prognostic factors associated with overall survival in patients with EHE. Methods. The demographic and clinical data of patients with EHE were extracted from the SEER database (1975-2019) to calculate the incidence of EHE and survival rate in these patients. The Cox proportional hazards model and Kaplan-Meier method were used to analyze the prognostic factors of overall survival in these patients. A nomogram and time-dependent receiver operating characteristic (ROC) curve were employed to predict the 3- and 5-year survival rate. Results. The overall incidence rate (IR) of EHE was 0.230 (95%confidence interval CI=0.201–0.263) per 1,000,000 person-years. According to the age-stratified IR, the highest age-adjusted IR was observed in patients aged 60–79 years (0.524 per 1,000,000 person-years, 95%CI=0.406–0.665). The majority (30.8%) of the tumors were located in the soft tissue and skin, followed by lesions in the abdomen (28%), respiratory system (19%), bone and joint (8.6%), and others. The 5-year overall survival rate was 55.6% (95%CI=32.8–73.5%). Multiple Cox regression analysis revealed that age >80 years (hazard ratio HR=8.57, 95%CI=2.32–31.63, P |
| doi_str_mv | 10.1155/2022/2349991 |
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| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9507694</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A719559519</galeid><sourcerecordid>A719559519</sourcerecordid><originalsourceid>FETCH-LOGICAL-c453t-cf3fe2a74e6af80bffd52c171583959d23020ffff6cf810878f896241ab456263</originalsourceid><addsrcrecordid>eNp9kt2OEyEUgCdGE9fVOx-AxBsTWxcYYMALk2btupus0ah7TSgDUzYMVGBq-jY-qjOdxr8LSQiE853vADlV9RzB1whReoEhxhe4JkII9KA6Q4w3S04ofPjH_nH1JOd7CBmBgp1VP9Y7V7bGu-hacG16FToXTWjjfNirN-AmaNeaoM0CfIipKO_KYQE-pdiFmIvT4ErpElNeABVa8GVIe7dXHqyC8ofsMrjLLnRg9B1jxnmvjrKxcmt6F33sDnPuepyfTR58yeCdKmqjsnlaPbLKZ_PstJ5Xd1frr5fXy9uP728uV7dLTWhdltrW1mDVEMOU5XBjbUuxRg2ivBZUtLiGGNpxMG05grzhlguGCVIbQhlm9Xn1dvbuhk1vWm1CScrLXXK9SgcZlZN_R4Lbyi7upaCwYYKMgpcnQYrfBpOL7F3WZnqtiUOWuEGc1ZwQMaIv_kHv45DG_zpSDUVUoPo31SlvpAs2jnX1JJWrBglKBUWTazFTOsWck7G_roygnLpCTl0hT10x4q9mfOtCq767_9M_AQjxuRg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2717515913</pqid></control><display><type>article</type><title>Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database</title><source>PubMed Central Open Access</source><source>Wiley-Blackwell Open Access Titles</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Liu, Zhen ; He, Shuting</creator><contributor>Shi, Zhongjie ; Zhongjie Shi</contributor><creatorcontrib>Liu, Zhen ; He, Shuting ; Shi, Zhongjie ; Zhongjie Shi</creatorcontrib><description>Background. Although epithelioid hemangioendothelioma (EHE) is a rare and aggressive vascular tumor, its demographic characteristics remain unclear. We used the surveillance, epidemiology, and end results (SEER) database to determine the clinical features, incidence, and prognostic factors associated with overall survival in patients with EHE. Methods. The demographic and clinical data of patients with EHE were extracted from the SEER database (1975-2019) to calculate the incidence of EHE and survival rate in these patients. The Cox proportional hazards model and Kaplan-Meier method were used to analyze the prognostic factors of overall survival in these patients. A nomogram and time-dependent receiver operating characteristic (ROC) curve were employed to predict the 3- and 5-year survival rate. Results. The overall incidence rate (IR) of EHE was 0.230 (95%confidence interval CI=0.201–0.263) per 1,000,000 person-years. According to the age-stratified IR, the highest age-adjusted IR was observed in patients aged 60–79 years (0.524 per 1,000,000 person-years, 95%CI=0.406–0.665). The majority (30.8%) of the tumors were located in the soft tissue and skin, followed by lesions in the abdomen (28%), respiratory system (19%), bone and joint (8.6%), and others. The 5-year overall survival rate was 55.6% (95%CI=32.8–73.5%). Multiple Cox regression analysis revealed that age >80 years (hazard ratio HR=8.57, 95%CI=2.32–31.63, P<0.001), African-American race (HR=2.52, 95%CI=1.31–4.85, P<0.01), “American Indian/Alaska Native” or “Asian or Pacific Islander” (HR=2.99, 95%CI=1.5–5.96, P<0.01) race, and respiratory tumors (HR=2.55, 95%CI=1.37–4.75, P<0.01) were distinctly related to worse overall survival. The calibration plots demonstrated good consistency between nomogram-predicted and actual survival. The area under the time-dependent ROC curve was 0.721 (95%CI=0.63–0.81) and 0.719 (95%CI=0.63–0.81) for the 3- and 5-year survival, respectively. For the convenience of researchers and clinicians, we designed an online dynamics nomogram to predict the survival rate. Conclusion. EHE is a relatively rare vascular tumor, which principally occurs in the soft tissue and skin. It most commonly occurs in patients aged 60–79 years and its incidence has increased in recent years. Age at diagnosis, race, and tumor location may affect the overall survival outcomes.</description><identifier>ISSN: 1687-8450</identifier><identifier>EISSN: 1687-8450</identifier><identifier>DOI: 10.1155/2022/2349991</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Abdomen ; African Americans ; Age ; Alaska ; Analysis ; Epidemiology ; Females ; Health surveillance ; India ; Lymphatic system ; Medical prognosis ; Metastasis ; Mortality ; Multivariate analysis ; Native North Americans ; Nomograms ; Pacific Islander people ; Respiratory system ; Surgery ; Surveillance ; Survival analysis ; Tumors ; White people</subject><ispartof>Journal of oncology, 2022-09, Vol.2022, p.1-10</ispartof><rights>Copyright © 2022 Zhen Liu and Shuting He.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>Copyright © 2022 Zhen Liu and Shuting He. This work is licensed under http://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>Copyright © 2022 Zhen Liu and Shuting He. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-cf3fe2a74e6af80bffd52c171583959d23020ffff6cf810878f896241ab456263</citedby><cites>FETCH-LOGICAL-c453t-cf3fe2a74e6af80bffd52c171583959d23020ffff6cf810878f896241ab456263</cites><orcidid>0000-0001-6052-9916</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/PMC9507694/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507694/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><contributor>Shi, Zhongjie</contributor><contributor>Zhongjie Shi</contributor><creatorcontrib>Liu, Zhen</creatorcontrib><creatorcontrib>He, Shuting</creatorcontrib><title>Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database</title><title>Journal of oncology</title><description>Background. Although epithelioid hemangioendothelioma (EHE) is a rare and aggressive vascular tumor, its demographic characteristics remain unclear. We used the surveillance, epidemiology, and end results (SEER) database to determine the clinical features, incidence, and prognostic factors associated with overall survival in patients with EHE. Methods. The demographic and clinical data of patients with EHE were extracted from the SEER database (1975-2019) to calculate the incidence of EHE and survival rate in these patients. The Cox proportional hazards model and Kaplan-Meier method were used to analyze the prognostic factors of overall survival in these patients. A nomogram and time-dependent receiver operating characteristic (ROC) curve were employed to predict the 3- and 5-year survival rate. Results. The overall incidence rate (IR) of EHE was 0.230 (95%confidence interval CI=0.201–0.263) per 1,000,000 person-years. According to the age-stratified IR, the highest age-adjusted IR was observed in patients aged 60–79 years (0.524 per 1,000,000 person-years, 95%CI=0.406–0.665). The majority (30.8%) of the tumors were located in the soft tissue and skin, followed by lesions in the abdomen (28%), respiratory system (19%), bone and joint (8.6%), and others. The 5-year overall survival rate was 55.6% (95%CI=32.8–73.5%). Multiple Cox regression analysis revealed that age >80 years (hazard ratio HR=8.57, 95%CI=2.32–31.63, P<0.001), African-American race (HR=2.52, 95%CI=1.31–4.85, P<0.01), “American Indian/Alaska Native” or “Asian or Pacific Islander” (HR=2.99, 95%CI=1.5–5.96, P<0.01) race, and respiratory tumors (HR=2.55, 95%CI=1.37–4.75, P<0.01) were distinctly related to worse overall survival. The calibration plots demonstrated good consistency between nomogram-predicted and actual survival. The area under the time-dependent ROC curve was 0.721 (95%CI=0.63–0.81) and 0.719 (95%CI=0.63–0.81) for the 3- and 5-year survival, respectively. For the convenience of researchers and clinicians, we designed an online dynamics nomogram to predict the survival rate. Conclusion. EHE is a relatively rare vascular tumor, which principally occurs in the soft tissue and skin. It most commonly occurs in patients aged 60–79 years and its incidence has increased in recent years. Age at diagnosis, race, and tumor location may affect the overall survival outcomes.</description><subject>Abdomen</subject><subject>African Americans</subject><subject>Age</subject><subject>Alaska</subject><subject>Analysis</subject><subject>Epidemiology</subject><subject>Females</subject><subject>Health surveillance</subject><subject>India</subject><subject>Lymphatic system</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Native North Americans</subject><subject>Nomograms</subject><subject>Pacific Islander people</subject><subject>Respiratory system</subject><subject>Surgery</subject><subject>Surveillance</subject><subject>Survival analysis</subject><subject>Tumors</subject><subject>White people</subject><issn>1687-8450</issn><issn>1687-8450</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kt2OEyEUgCdGE9fVOx-AxBsTWxcYYMALk2btupus0ah7TSgDUzYMVGBq-jY-qjOdxr8LSQiE853vADlV9RzB1whReoEhxhe4JkII9KA6Q4w3S04ofPjH_nH1JOd7CBmBgp1VP9Y7V7bGu-hacG16FToXTWjjfNirN-AmaNeaoM0CfIipKO_KYQE-pdiFmIvT4ErpElNeABVa8GVIe7dXHqyC8ofsMrjLLnRg9B1jxnmvjrKxcmt6F33sDnPuepyfTR58yeCdKmqjsnlaPbLKZ_PstJ5Xd1frr5fXy9uP728uV7dLTWhdltrW1mDVEMOU5XBjbUuxRg2ivBZUtLiGGNpxMG05grzhlguGCVIbQhlm9Xn1dvbuhk1vWm1CScrLXXK9SgcZlZN_R4Lbyi7upaCwYYKMgpcnQYrfBpOL7F3WZnqtiUOWuEGc1ZwQMaIv_kHv45DG_zpSDUVUoPo31SlvpAs2jnX1JJWrBglKBUWTazFTOsWck7G_roygnLpCTl0hT10x4q9mfOtCq767_9M_AQjxuRg</recordid><startdate>20220916</startdate><enddate>20220916</enddate><creator>Liu, Zhen</creator><creator>He, Shuting</creator><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</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>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6052-9916</orcidid></search><sort><creationdate>20220916</creationdate><title>Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database</title><author>Liu, Zhen ; He, Shuting</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-cf3fe2a74e6af80bffd52c171583959d23020ffff6cf810878f896241ab456263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Abdomen</topic><topic>African Americans</topic><topic>Age</topic><topic>Alaska</topic><topic>Analysis</topic><topic>Epidemiology</topic><topic>Females</topic><topic>Health surveillance</topic><topic>India</topic><topic>Lymphatic system</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Native North Americans</topic><topic>Nomograms</topic><topic>Pacific Islander people</topic><topic>Respiratory system</topic><topic>Surgery</topic><topic>Surveillance</topic><topic>Survival analysis</topic><topic>Tumors</topic><topic>White people</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhen</creatorcontrib><creatorcontrib>He, Shuting</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>Nursing & Allied Health Database</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>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Zhen</au><au>He, Shuting</au><au>Shi, Zhongjie</au><au>Zhongjie Shi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database</atitle><jtitle>Journal of oncology</jtitle><date>2022-09-16</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1687-8450</issn><eissn>1687-8450</eissn><abstract>Background. Although epithelioid hemangioendothelioma (EHE) is a rare and aggressive vascular tumor, its demographic characteristics remain unclear. We used the surveillance, epidemiology, and end results (SEER) database to determine the clinical features, incidence, and prognostic factors associated with overall survival in patients with EHE. Methods. The demographic and clinical data of patients with EHE were extracted from the SEER database (1975-2019) to calculate the incidence of EHE and survival rate in these patients. The Cox proportional hazards model and Kaplan-Meier method were used to analyze the prognostic factors of overall survival in these patients. A nomogram and time-dependent receiver operating characteristic (ROC) curve were employed to predict the 3- and 5-year survival rate. Results. The overall incidence rate (IR) of EHE was 0.230 (95%confidence interval CI=0.201–0.263) per 1,000,000 person-years. According to the age-stratified IR, the highest age-adjusted IR was observed in patients aged 60–79 years (0.524 per 1,000,000 person-years, 95%CI=0.406–0.665). The majority (30.8%) of the tumors were located in the soft tissue and skin, followed by lesions in the abdomen (28%), respiratory system (19%), bone and joint (8.6%), and others. The 5-year overall survival rate was 55.6% (95%CI=32.8–73.5%). Multiple Cox regression analysis revealed that age >80 years (hazard ratio HR=8.57, 95%CI=2.32–31.63, P<0.001), African-American race (HR=2.52, 95%CI=1.31–4.85, P<0.01), “American Indian/Alaska Native” or “Asian or Pacific Islander” (HR=2.99, 95%CI=1.5–5.96, P<0.01) race, and respiratory tumors (HR=2.55, 95%CI=1.37–4.75, P<0.01) were distinctly related to worse overall survival. The calibration plots demonstrated good consistency between nomogram-predicted and actual survival. The area under the time-dependent ROC curve was 0.721 (95%CI=0.63–0.81) and 0.719 (95%CI=0.63–0.81) for the 3- and 5-year survival, respectively. For the convenience of researchers and clinicians, we designed an online dynamics nomogram to predict the survival rate. Conclusion. EHE is a relatively rare vascular tumor, which principally occurs in the soft tissue and skin. It most commonly occurs in patients aged 60–79 years and its incidence has increased in recent years. Age at diagnosis, race, and tumor location may affect the overall survival outcomes.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2022/2349991</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6052-9916</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Abdomen African Americans Age Alaska Analysis Epidemiology Females Health surveillance India Lymphatic system Medical prognosis Metastasis Mortality Multivariate analysis Native North Americans Nomograms Pacific Islander people Respiratory system Surgery Surveillance Survival analysis Tumors White people |
| title | Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database |
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