Sentinel node tumor burden in prediction of prognosis in melanoma patients
Recent data have demonstrated no survival benefit to immediate completion lymph node dissection (CLND) for positive sentinel node (SN) disease in melanoma. It is important to identify parameters in positive SNs, which predict prognosis in melanoma patients. These might provide prognostic value in st...
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description | Recent data have demonstrated no survival benefit to immediate completion lymph node dissection (CLND) for positive sentinel node (SN) disease in melanoma. It is important to identify parameters in positive SNs, which predict prognosis in melanoma patients. These might provide prognostic value in staging systems and risk models by guiding high-risk patients’ adjuvant therapy in clinical practice. In this retrospective study of university hospital melanoma database we analyzed tumor burden and prognosis in patients with positive SNs. Patients were stratified by the diameter of tumor deposit, distribution of metastatic focus in SN, ulceration and number of metastatic SNs. These were incorporated in Cox proportional hazard regression models. Predictive ability was assessed using Akaike information criterion and Harrell’s concordance index. A total of 110 patients had positive SN and 104 underwent CLND. Twenty-two (21%) patients had non-SN metastatic disease on CLND. The 5-year melanoma specific survival for CLND-negative patients was 5.00 years (IQR 3.23–5.00, range 0.72–5.00) compared to 3.69 (IQR 2.28–4.72, range 1.01–5.00) years in CLND-positive patients (HR 2.82 (95% CI 1.17–6.76, p = 0.020).The models incorporating distribution of metastatic focus and the largest tumor deposit in SN had highest predictive ability. According to Cox proportional hazard regression models, information criterions and c-index, the diameter of tumor deposit > 4 mm with multifocal location in SN despite of number of metastatic SN were the most important parameters. According to the diameter of tumor deposit and distribution of metastatic focus in SN, adequate stratification of positive SN patients was possible and risk classes for patients were identified. |
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It is important to identify parameters in positive SNs, which predict prognosis in melanoma patients. These might provide prognostic value in staging systems and risk models by guiding high-risk patients’ adjuvant therapy in clinical practice. In this retrospective study of university hospital melanoma database we analyzed tumor burden and prognosis in patients with positive SNs. Patients were stratified by the diameter of tumor deposit, distribution of metastatic focus in SN, ulceration and number of metastatic SNs. These were incorporated in Cox proportional hazard regression models. Predictive ability was assessed using Akaike information criterion and Harrell’s concordance index. A total of 110 patients had positive SN and 104 underwent CLND. Twenty-two (21%) patients had non-SN metastatic disease on CLND. The 5-year melanoma specific survival for CLND-negative patients was 5.00 years (IQR 3.23–5.00, range 0.72–5.00) compared to 3.69 (IQR 2.28–4.72, range 1.01–5.00) years in CLND-positive patients (HR 2.82 (95% CI 1.17–6.76, p = 0.020).The models incorporating distribution of metastatic focus and the largest tumor deposit in SN had highest predictive ability. According to Cox proportional hazard regression models, information criterions and c-index, the diameter of tumor deposit > 4 mm with multifocal location in SN despite of number of metastatic SN were the most important parameters. According to the diameter of tumor deposit and distribution of metastatic focus in SN, adequate stratification of positive SN patients was possible and risk classes for patients were identified.</description><identifier>ISSN: 0262-0898</identifier><identifier>EISSN: 1573-7276</identifier><identifier>DOI: 10.1007/s10585-020-10028-0</identifier><identifier>PMID: 32076905</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Biopsy ; Cancer Research ; Hematology ; Life Sciences & Biomedicine ; Lymph nodes ; Medical prognosis ; Melanoma ; Metastases ; Metastasis ; Nodes ; Oncology ; Parameter identification ; Patients ; Prognosis ; Regression analysis ; Regression models ; Research Paper ; Risk ; Risk groups ; Science & Technology ; Surgical Oncology ; Survival ; Tumors</subject><ispartof>Clinical & experimental metastasis, 2020-04, Vol.37 (2), p.365-376</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>6</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000516444000001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c474t-71162dadf19aac694e2dded87655139280bd42f93838dde17dccc1f8132049d13</citedby><cites>FETCH-LOGICAL-c474t-71162dadf19aac694e2dded87655139280bd42f93838dde17dccc1f8132049d13</cites><orcidid>0000-0001-7528-6312 ; 0000-0003-2990-679X ; 0000-0003-4636-9586</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10585-020-10028-0$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10585-020-10028-0$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,315,782,786,887,27931,27932,28255,41495,42564,51326</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32076905$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Palve, Johanna</creatorcontrib><creatorcontrib>Ylitalo, Leea</creatorcontrib><creatorcontrib>Luukkaala, Tiina</creatorcontrib><creatorcontrib>Jernman, Juha</creatorcontrib><creatorcontrib>Korhonen, Niina</creatorcontrib><title>Sentinel node tumor burden in prediction of prognosis in melanoma patients</title><title>Clinical & experimental metastasis</title><addtitle>Clin Exp Metastasis</addtitle><addtitle>CLIN EXP METASTAS</addtitle><addtitle>Clin Exp Metastasis</addtitle><description>Recent data have demonstrated no survival benefit to immediate completion lymph node dissection (CLND) for positive sentinel node (SN) disease in melanoma. It is important to identify parameters in positive SNs, which predict prognosis in melanoma patients. These might provide prognostic value in staging systems and risk models by guiding high-risk patients’ adjuvant therapy in clinical practice. In this retrospective study of university hospital melanoma database we analyzed tumor burden and prognosis in patients with positive SNs. Patients were stratified by the diameter of tumor deposit, distribution of metastatic focus in SN, ulceration and number of metastatic SNs. These were incorporated in Cox proportional hazard regression models. Predictive ability was assessed using Akaike information criterion and Harrell’s concordance index. A total of 110 patients had positive SN and 104 underwent CLND. Twenty-two (21%) patients had non-SN metastatic disease on CLND. The 5-year melanoma specific survival for CLND-negative patients was 5.00 years (IQR 3.23–5.00, range 0.72–5.00) compared to 3.69 (IQR 2.28–4.72, range 1.01–5.00) years in CLND-positive patients (HR 2.82 (95% CI 1.17–6.76, p = 0.020).The models incorporating distribution of metastatic focus and the largest tumor deposit in SN had highest predictive ability. According to Cox proportional hazard regression models, information criterions and c-index, the diameter of tumor deposit > 4 mm with multifocal location in SN despite of number of metastatic SN were the most important parameters. According to the diameter of tumor deposit and distribution of metastatic focus in SN, adequate stratification of positive SN patients was possible and risk classes for patients were identified.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Biopsy</subject><subject>Cancer Research</subject><subject>Hematology</subject><subject>Life Sciences & Biomedicine</subject><subject>Lymph nodes</subject><subject>Medical prognosis</subject><subject>Melanoma</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Nodes</subject><subject>Oncology</subject><subject>Parameter identification</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Research Paper</subject><subject>Risk</subject><subject>Risk groups</subject><subject>Science & Technology</subject><subject>Surgical Oncology</subject><subject>Survival</subject><subject>Tumors</subject><issn>0262-0898</issn><issn>1573-7276</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkUuLFDEUhYMoTs_oH3AhBW4EKc2zkmwEaXwNAy7UdUgnqTZDVdImVSP-e29Nja3jYjCbcLnfvTknB6EnBL8kGMtXlWChRIspbqGmqsX30IYIyVpJZXcfbTDtaIuVVifotNZLjDGXUj1EJ4xi2WksNuj8c0hTTGFoUvahmeYxl2Y3Fx9SE1NzKMFHN8WcmtxDlfcp11iX1hgGm_Jom4OdIiypj9CD3g41PL65z9DXd2-_bD-0F5_ef9y-uWgdl3xqJSEd9db3RFvrOs0D9T54JTshCNNU4Z3ntNdMMQUNIr1zjvSKgGiuPWFn6PW69zDvxuAdvF3sYA4ljrb8NNlGc7uT4jezz1dGEqakwrDg-c2Ckr_PoU5mjNWFAfyEPFdDmdBMgx4K6LN_0Ms8lwT2gFKScCGUBIqulCu51hL6oxiCzRKVWaMyEJW5jsosKp7-beM48jsbANQK_Ai73FcHn-zCEYMwBek453g5ZBsnu8S0zXOaYPTF_48CzVa6ApH2ofwxeYf-X1nMwCU</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Palve, Johanna</creator><creator>Ylitalo, Leea</creator><creator>Luukkaala, Tiina</creator><creator>Jernman, Juha</creator><creator>Korhonen, Niina</creator><general>Springer Netherlands</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</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>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7528-6312</orcidid><orcidid>https://orcid.org/0000-0003-2990-679X</orcidid><orcidid>https://orcid.org/0000-0003-4636-9586</orcidid></search><sort><creationdate>20200401</creationdate><title>Sentinel node tumor burden in prediction of prognosis in melanoma patients</title><author>Palve, Johanna ; 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It is important to identify parameters in positive SNs, which predict prognosis in melanoma patients. These might provide prognostic value in staging systems and risk models by guiding high-risk patients’ adjuvant therapy in clinical practice. In this retrospective study of university hospital melanoma database we analyzed tumor burden and prognosis in patients with positive SNs. Patients were stratified by the diameter of tumor deposit, distribution of metastatic focus in SN, ulceration and number of metastatic SNs. These were incorporated in Cox proportional hazard regression models. Predictive ability was assessed using Akaike information criterion and Harrell’s concordance index. A total of 110 patients had positive SN and 104 underwent CLND. Twenty-two (21%) patients had non-SN metastatic disease on CLND. The 5-year melanoma specific survival for CLND-negative patients was 5.00 years (IQR 3.23–5.00, range 0.72–5.00) compared to 3.69 (IQR 2.28–4.72, range 1.01–5.00) years in CLND-positive patients (HR 2.82 (95% CI 1.17–6.76, p = 0.020).The models incorporating distribution of metastatic focus and the largest tumor deposit in SN had highest predictive ability. According to Cox proportional hazard regression models, information criterions and c-index, the diameter of tumor deposit > 4 mm with multifocal location in SN despite of number of metastatic SN were the most important parameters. According to the diameter of tumor deposit and distribution of metastatic focus in SN, adequate stratification of positive SN patients was possible and risk classes for patients were identified.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>32076905</pmid><doi>10.1007/s10585-020-10028-0</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-7528-6312</orcidid><orcidid>https://orcid.org/0000-0003-2990-679X</orcidid><orcidid>https://orcid.org/0000-0003-4636-9586</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical and Life Sciences Biomedicine Biopsy Cancer Research Hematology Life Sciences & Biomedicine Lymph nodes Medical prognosis Melanoma Metastases Metastasis Nodes Oncology Parameter identification Patients Prognosis Regression analysis Regression models Research Paper Risk Risk groups Science & Technology Surgical Oncology Survival Tumors |
title | Sentinel node tumor burden in prediction of prognosis in melanoma patients |
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