A Prognostic Scoring System for the Prediction of Metastatic Recurrence Following Curative Resection of Pancreatic Neuroendocrine Tumors

Background Patients with early-stage pancreatic neuroendocrine tumors (PNETs) may develop metastatic recurrences despite undergoing potentially curative pancreas resections. We sought to identify factors predictive of metastatic recurrences and develop a prognostication strategy to predict recurrenc...

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Veröffentlicht in:Journal of gastrointestinal surgery 2019-07, Vol.23 (7), p.1392-1400
Hauptverfasser: Sho, Shonan, Court, Colin M., Winograd, Paul, Toste, Paul A., Pisegna, Joseph R., Lewis, Michael, Donahue, Timothy R., Hines, Oscar J., Reber, Howard A., Dawson, David W., Tomlinson, James S.
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container_issue 7
container_start_page 1392
container_title Journal of gastrointestinal surgery
container_volume 23
creator Sho, Shonan
Court, Colin M.
Winograd, Paul
Toste, Paul A.
Pisegna, Joseph R.
Lewis, Michael
Donahue, Timothy R.
Hines, Oscar J.
Reber, Howard A.
Dawson, David W.
Tomlinson, James S.
description Background Patients with early-stage pancreatic neuroendocrine tumors (PNETs) may develop metastatic recurrences despite undergoing potentially curative pancreas resections. We sought to identify factors predictive of metastatic recurrences and develop a prognostication strategy to predict recurrence-free survival (RFS) in resected PNETs. Methods Patients with localized PNETs undergoing surgical resection between 1989 and 2015 were identified. Univariate and multivariate analysis were used to identify potential predictors of post-resection metastasis. A score-based prognostication system was devised using the identified factors. The bootstrap model validation methodology was utilized to estimate the external validity of the proposed prognostication strategy. Results Of the 140 patients with completely resected early-stage PNETs, overall 5- and 10-year RFS were 84.6% and 67.1%, respectively. The median follow-up was 56 months. Multivariate analysis identified tumor size > 5 cm, Ki-67 index 8–20%, lymph node involvement, and high histologic grade (G3, or Ki-67 > 20%) as independent predictors of post-resection metastatic recurrence. A scoring system based on these factors stratified patients into three prognostic categories with distinct 5-year RFS: 96.9%, 54.8%, and 33.3% ( P  
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We sought to identify factors predictive of metastatic recurrences and develop a prognostication strategy to predict recurrence-free survival (RFS) in resected PNETs. Methods Patients with localized PNETs undergoing surgical resection between 1989 and 2015 were identified. Univariate and multivariate analysis were used to identify potential predictors of post-resection metastasis. A score-based prognostication system was devised using the identified factors. The bootstrap model validation methodology was utilized to estimate the external validity of the proposed prognostication strategy. Results Of the 140 patients with completely resected early-stage PNETs, overall 5- and 10-year RFS were 84.6% and 67.1%, respectively. The median follow-up was 56 months. Multivariate analysis identified tumor size &gt; 5 cm, Ki-67 index 8–20%, lymph node involvement, and high histologic grade (G3, or Ki-67 &gt; 20%) as independent predictors of post-resection metastatic recurrence. A scoring system based on these factors stratified patients into three prognostic categories with distinct 5-year RFS: 96.9%, 54.8%, and 33.3% ( P  &lt; 0.0001). The bootstrap model validation methodology projected our proposed prognostication strategy to retain a high predictive accuracy even when applied in an external dataset (validated c-index of 0.81). Conclusions The combination of tumor size, LN status, grade, and Ki-67 was identified as the most highly predictive indicators of metastatic recurrences in resected PNETs. The proposed prognostication strategy may help stratify patients for adjuvant therapies, enhanced surveillance protocols and future clinical trials.</description><identifier>ISSN: 1091-255X</identifier><identifier>EISSN: 1873-4626</identifier><identifier>DOI: 10.1007/s11605-018-4011-7</identifier><identifier>PMID: 30353489</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Aged ; Disease-Free Survival ; Female ; Gastroenterology ; Gastrointestinal surgery ; Humans ; Ki-67 Antigen - analysis ; Lymphatic Metastasis ; Male ; Medical prognosis ; Medicine ; Medicine &amp; Public Health ; Metastasis ; Middle Aged ; Multivariate Analysis ; Neoplasm Grading ; Neuroendocrine tumors ; Neuroendocrine Tumors - pathology ; Neuroendocrine Tumors - surgery ; Original Article ; Pancreas ; Pancreatectomy ; Pancreatic cancer ; Pancreatic Neoplasms - pathology ; Pancreatic Neoplasms - surgery ; Prognosis ; Recurrence ; Retrospective Studies ; Surgery ; Tumor Burden</subject><ispartof>Journal of gastrointestinal surgery, 2019-07, Vol.23 (7), p.1392-1400</ispartof><rights>The Society for Surgery of the Alimentary Tract 2018</rights><rights>Journal of Gastrointestinal Surgery is a copyright of Springer, (2018). 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We sought to identify factors predictive of metastatic recurrences and develop a prognostication strategy to predict recurrence-free survival (RFS) in resected PNETs. Methods Patients with localized PNETs undergoing surgical resection between 1989 and 2015 were identified. Univariate and multivariate analysis were used to identify potential predictors of post-resection metastasis. A score-based prognostication system was devised using the identified factors. The bootstrap model validation methodology was utilized to estimate the external validity of the proposed prognostication strategy. Results Of the 140 patients with completely resected early-stage PNETs, overall 5- and 10-year RFS were 84.6% and 67.1%, respectively. The median follow-up was 56 months. Multivariate analysis identified tumor size &gt; 5 cm, Ki-67 index 8–20%, lymph node involvement, and high histologic grade (G3, or Ki-67 &gt; 20%) as independent predictors of post-resection metastatic recurrence. A scoring system based on these factors stratified patients into three prognostic categories with distinct 5-year RFS: 96.9%, 54.8%, and 33.3% ( P  &lt; 0.0001). The bootstrap model validation methodology projected our proposed prognostication strategy to retain a high predictive accuracy even when applied in an external dataset (validated c-index of 0.81). Conclusions The combination of tumor size, LN status, grade, and Ki-67 was identified as the most highly predictive indicators of metastatic recurrences in resected PNETs. The proposed prognostication strategy may help stratify patients for adjuvant therapies, enhanced surveillance protocols and future clinical trials.</description><subject>Adult</subject><subject>Aged</subject><subject>Disease-Free Survival</subject><subject>Female</subject><subject>Gastroenterology</subject><subject>Gastrointestinal surgery</subject><subject>Humans</subject><subject>Ki-67 Antigen - analysis</subject><subject>Lymphatic Metastasis</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasm Grading</subject><subject>Neuroendocrine tumors</subject><subject>Neuroendocrine Tumors - pathology</subject><subject>Neuroendocrine Tumors - surgery</subject><subject>Original Article</subject><subject>Pancreas</subject><subject>Pancreatectomy</subject><subject>Pancreatic cancer</subject><subject>Pancreatic Neoplasms - pathology</subject><subject>Pancreatic Neoplasms - surgery</subject><subject>Prognosis</subject><subject>Recurrence</subject><subject>Retrospective Studies</subject><subject>Surgery</subject><subject>Tumor Burden</subject><issn>1091-255X</issn><issn>1873-4626</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kc1u1DAUhSMEoqXwAGyQJTZsAtd_8WSDVI0oIBWoaJHYWY59M02V2FPbKeob8Ng4TBl-JFa-0vnOub46VfWUwksKoF4lShuQNdBVLYDSWt2rDulK8Vo0rLlfZmhpzaT8elA9SukKgKrCPqwOOHDJxao9rL4fk7MYNj6kPFhybkMc_Iac36aME-lDJPkSC4FusHkInoSefMBsUjYL_xntHCN6i-QkjGP4tpjXcyziDRY14d51ZryN-NP1EecY0LtgyzIkF_MUYnpcPejNmPDJ3XtUfTl5c7F-V59-evt-fXxaW8mbXEvqOlZGqxBbUK3oAJlzDnrXtS0XTHXQYMu5NMwpy10DVDDDWrZyCJ3jR9XrXe527iZ0Fn2OZtTbOEwm3upgBv234odLvQk3ulG8kZyWgBd3ATFcz5iynoZkcRyNxzAnzSgrGLSSFfT5P-hVmKMv5y2U4AKE4IWiO8rGkFLEfv8ZCnrpWe961qU7vfSsVfE8-_OKveNXsQVgOyBtl0Yx_l79_9QfHES2PA</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Sho, Shonan</creator><creator>Court, Colin M.</creator><creator>Winograd, Paul</creator><creator>Toste, Paul A.</creator><creator>Pisegna, Joseph R.</creator><creator>Lewis, Michael</creator><creator>Donahue, Timothy R.</creator><creator>Hines, Oscar J.</creator><creator>Reber, Howard A.</creator><creator>Dawson, David W.</creator><creator>Tomlinson, James S.</creator><general>Springer US</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1547-6402</orcidid></search><sort><creationdate>20190701</creationdate><title>A Prognostic Scoring System for the Prediction of Metastatic Recurrence Following Curative Resection of Pancreatic Neuroendocrine Tumors</title><author>Sho, Shonan ; 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We sought to identify factors predictive of metastatic recurrences and develop a prognostication strategy to predict recurrence-free survival (RFS) in resected PNETs. Methods Patients with localized PNETs undergoing surgical resection between 1989 and 2015 were identified. Univariate and multivariate analysis were used to identify potential predictors of post-resection metastasis. A score-based prognostication system was devised using the identified factors. The bootstrap model validation methodology was utilized to estimate the external validity of the proposed prognostication strategy. Results Of the 140 patients with completely resected early-stage PNETs, overall 5- and 10-year RFS were 84.6% and 67.1%, respectively. The median follow-up was 56 months. Multivariate analysis identified tumor size &gt; 5 cm, Ki-67 index 8–20%, lymph node involvement, and high histologic grade (G3, or Ki-67 &gt; 20%) as independent predictors of post-resection metastatic recurrence. A scoring system based on these factors stratified patients into three prognostic categories with distinct 5-year RFS: 96.9%, 54.8%, and 33.3% ( P  &lt; 0.0001). The bootstrap model validation methodology projected our proposed prognostication strategy to retain a high predictive accuracy even when applied in an external dataset (validated c-index of 0.81). Conclusions The combination of tumor size, LN status, grade, and Ki-67 was identified as the most highly predictive indicators of metastatic recurrences in resected PNETs. The proposed prognostication strategy may help stratify patients for adjuvant therapies, enhanced surveillance protocols and future clinical trials.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>30353489</pmid><doi>10.1007/s11605-018-4011-7</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1547-6402</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Disease-Free Survival
Female
Gastroenterology
Gastrointestinal surgery
Humans
Ki-67 Antigen - analysis
Lymphatic Metastasis
Male
Medical prognosis
Medicine
Medicine & Public Health
Metastasis
Middle Aged
Multivariate Analysis
Neoplasm Grading
Neuroendocrine tumors
Neuroendocrine Tumors - pathology
Neuroendocrine Tumors - surgery
Original Article
Pancreas
Pancreatectomy
Pancreatic cancer
Pancreatic Neoplasms - pathology
Pancreatic Neoplasms - surgery
Prognosis
Recurrence
Retrospective Studies
Surgery
Tumor Burden
title A Prognostic Scoring System for the Prediction of Metastatic Recurrence Following Curative Resection of Pancreatic Neuroendocrine Tumors
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