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Dynamic Anthropometrics in Pancreatic Cancer: Associations Between Body Composition Changes During Neoadjuvant Therapy and Survival Outcomes After Resection
Background Assessment of individual tumor biology and response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC) remains a clinical challenge. The significance of anthropometric (body composition) changes during chemotherapy as a surrogate for tumor biology in the setting of localized P...
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Published in: | Annals of surgical oncology 2024-11, Vol.31 (12), p.8340-8351 |
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creator | Yee, Elliott J. Torphy, Robert J. Myers, Emily K. Meguid, Cheryl Franklin, Oskar Sugawara, Toshitaka Franco, Salvador Rodriguez Clark, Toshimasa J. Mungo, Benedetto Ahrendt, Steven A. Schulick, Richard D. del Chiaro, Marco McCarter, Martin M. |
description | Background
Assessment of individual tumor biology and response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC) remains a clinical challenge. The significance of anthropometric (body composition) changes during chemotherapy as a surrogate for tumor biology in the setting of localized PDAC is unknown.
Methods
A retrospective, single-institution analysis of patients with PDAC who received neoadjuvant therapy (NAT) and pancreatectomy from 2017 to 2021 was performed. Radiologic anthropometric analysis used artificial intelligence-driven software to segment and compute total and sub-compartment muscle area, adipose tissue area, and attenuation values at the level of the L3 vertebra. Kaplan–Meier survival estimates, log-rank tests, and multivariable Cox regression models were used in survival analyses.
Results
The inclusion criteria were met by 138 patients. Although decreases in muscle and adipose tissue areas during NAT were predominant, a subset of patients experienced an increase in these compartments. Increases in muscle greater than 5% (hazard ratio [HR], 0.352; 95% confidence interval [CI] 0.135–0.918;
p
= 0.033) and increases in adipose tissue greater than 15% (HR, 0.375; 95% CI 0.144–0.978;
p
= 0.045), were significantly associated with improved survival, whereas loss of visceral fat greater than 15% was detrimental (HR 1.853; CI 1.099–3.124;
p
= 0.021). No significant associations with single time-point anthropometrics were observed. Gains in total muscle and adipose mass were associated with improved pathologic response to systemic therapy and less advanced pathologic tumor stage.
Conclusions
Dynamic anthropometric analysis during NAT for PDAC is a stronger prognostic indicator than measurements taken at a single point in time. Repeated anthropometric analysis during preoperative chemotherapy may serve as a biomarker for individual tumor biology and response to therapy. |
doi_str_mv | 10.1245/s10434-024-15975-6 |
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Assessment of individual tumor biology and response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC) remains a clinical challenge. The significance of anthropometric (body composition) changes during chemotherapy as a surrogate for tumor biology in the setting of localized PDAC is unknown.
Methods
A retrospective, single-institution analysis of patients with PDAC who received neoadjuvant therapy (NAT) and pancreatectomy from 2017 to 2021 was performed. Radiologic anthropometric analysis used artificial intelligence-driven software to segment and compute total and sub-compartment muscle area, adipose tissue area, and attenuation values at the level of the L3 vertebra. Kaplan–Meier survival estimates, log-rank tests, and multivariable Cox regression models were used in survival analyses.
Results
The inclusion criteria were met by 138 patients. Although decreases in muscle and adipose tissue areas during NAT were predominant, a subset of patients experienced an increase in these compartments. Increases in muscle greater than 5% (hazard ratio [HR], 0.352; 95% confidence interval [CI] 0.135–0.918;
p
= 0.033) and increases in adipose tissue greater than 15% (HR, 0.375; 95% CI 0.144–0.978;
p
= 0.045), were significantly associated with improved survival, whereas loss of visceral fat greater than 15% was detrimental (HR 1.853; CI 1.099–3.124;
p
= 0.021). No significant associations with single time-point anthropometrics were observed. Gains in total muscle and adipose mass were associated with improved pathologic response to systemic therapy and less advanced pathologic tumor stage.
Conclusions
Dynamic anthropometric analysis during NAT for PDAC is a stronger prognostic indicator than measurements taken at a single point in time. Repeated anthropometric analysis during preoperative chemotherapy may serve as a biomarker for individual tumor biology and response to therapy.</description><identifier>ISSN: 1068-9265</identifier><identifier>ISSN: 1534-4681</identifier><identifier>EISSN: 1534-4681</identifier><identifier>DOI: 10.1245/s10434-024-15975-6</identifier><identifier>PMID: 39120842</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adenocarcinoma ; Adipose tissue ; Anthropometrics ; Artificial intelligence ; Biology ; Body composition ; Body fat ; Body measurements ; Cancer therapies ; Chemotherapy ; Medicine ; Medicine & Public Health ; Oncology ; Pancreatic cancer ; Pancreatic Tumors ; Pathologic response ; Regression analysis ; Surgery ; Surgical Oncology ; Survival ; Tumors ; Vertebrae</subject><ispartof>Annals of surgical oncology, 2024-11, Vol.31 (12), p.8340-8351</ispartof><rights>Society of Surgical Oncology 2024. 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>2024. Society of Surgical Oncology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-44cecb0b3c3bb14706e6a57b45a8b16ac8758ff8690eb013fd870effee46529f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39120842$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-228586$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Yee, Elliott J.</creatorcontrib><creatorcontrib>Torphy, Robert J.</creatorcontrib><creatorcontrib>Myers, Emily K.</creatorcontrib><creatorcontrib>Meguid, Cheryl</creatorcontrib><creatorcontrib>Franklin, Oskar</creatorcontrib><creatorcontrib>Sugawara, Toshitaka</creatorcontrib><creatorcontrib>Franco, Salvador Rodriguez</creatorcontrib><creatorcontrib>Clark, Toshimasa J.</creatorcontrib><creatorcontrib>Mungo, Benedetto</creatorcontrib><creatorcontrib>Ahrendt, Steven A.</creatorcontrib><creatorcontrib>Schulick, Richard D.</creatorcontrib><creatorcontrib>del Chiaro, Marco</creatorcontrib><creatorcontrib>McCarter, Martin M.</creatorcontrib><title>Dynamic Anthropometrics in Pancreatic Cancer: Associations Between Body Composition Changes During Neoadjuvant Therapy and Survival Outcomes After Resection</title><title>Annals of surgical oncology</title><addtitle>Ann Surg Oncol</addtitle><addtitle>Ann Surg Oncol</addtitle><description>Background
Assessment of individual tumor biology and response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC) remains a clinical challenge. The significance of anthropometric (body composition) changes during chemotherapy as a surrogate for tumor biology in the setting of localized PDAC is unknown.
Methods
A retrospective, single-institution analysis of patients with PDAC who received neoadjuvant therapy (NAT) and pancreatectomy from 2017 to 2021 was performed. Radiologic anthropometric analysis used artificial intelligence-driven software to segment and compute total and sub-compartment muscle area, adipose tissue area, and attenuation values at the level of the L3 vertebra. Kaplan–Meier survival estimates, log-rank tests, and multivariable Cox regression models were used in survival analyses.
Results
The inclusion criteria were met by 138 patients. Although decreases in muscle and adipose tissue areas during NAT were predominant, a subset of patients experienced an increase in these compartments. Increases in muscle greater than 5% (hazard ratio [HR], 0.352; 95% confidence interval [CI] 0.135–0.918;
p
= 0.033) and increases in adipose tissue greater than 15% (HR, 0.375; 95% CI 0.144–0.978;
p
= 0.045), were significantly associated with improved survival, whereas loss of visceral fat greater than 15% was detrimental (HR 1.853; CI 1.099–3.124;
p
= 0.021). No significant associations with single time-point anthropometrics were observed. Gains in total muscle and adipose mass were associated with improved pathologic response to systemic therapy and less advanced pathologic tumor stage.
Conclusions
Dynamic anthropometric analysis during NAT for PDAC is a stronger prognostic indicator than measurements taken at a single point in time. Repeated anthropometric analysis during preoperative chemotherapy may serve as a biomarker for individual tumor biology and response to therapy.</description><subject>Adenocarcinoma</subject><subject>Adipose tissue</subject><subject>Anthropometrics</subject><subject>Artificial intelligence</subject><subject>Biology</subject><subject>Body composition</subject><subject>Body fat</subject><subject>Body measurements</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Oncology</subject><subject>Pancreatic cancer</subject><subject>Pancreatic Tumors</subject><subject>Pathologic response</subject><subject>Regression analysis</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Survival</subject><subject>Tumors</subject><subject>Vertebrae</subject><issn>1068-9265</issn><issn>1534-4681</issn><issn>1534-4681</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc9u1DAQxiMEoqXwAhyQJS5cArZjJw63NMs_qaIIClfLcSa7Xm3s1I632nfhYXHYpUgcOM1o5jffzOjLsucEvyaU8TeBYFawHFOWE15XPC8fZOeEpxIrBXmYclyKvKYlP8uehLDFmFQF5o-zs6ImFAtGz7Ofq4NVo9GosfPGu8mNMHujAzIWfVFWe1Bz6rYpBf8WNSE4bVLJ2YAuYb4DsOjS9QfUunFywSwd1G6UXUNAq-iNXaPP4FS_jXtlZ3SzAa-mA1K2R9-i35u92qHrOOu0OKBmmMGjrxBAL0JPs0eD2gV4dooX2ff3727aj_nV9YdPbXOVa1qzOWdMg-5wV-ii6wircAml4lXHuBIdKZUWFRfDIMoaQ4dJMfSiwjAMAKzktB6Kiyw_6oY7mGInJ29G5Q_SKSNX5kcjnV_LOEZJqeCiTPyrIz95dxshzHI0QcNupyy4GGSBa1xzjCuS0Jf_oFsXvU3fyIIQTjmr-ELRI6W9C8HDcH8CwXLxWh69lslr-dtruVzx4iQduxH6-5E_5iagOL01LT6A_7v7P7K_AORFt6I</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Yee, Elliott J.</creator><creator>Torphy, Robert J.</creator><creator>Myers, Emily K.</creator><creator>Meguid, Cheryl</creator><creator>Franklin, Oskar</creator><creator>Sugawara, Toshitaka</creator><creator>Franco, Salvador Rodriguez</creator><creator>Clark, Toshimasa J.</creator><creator>Mungo, Benedetto</creator><creator>Ahrendt, Steven A.</creator><creator>Schulick, Richard D.</creator><creator>del Chiaro, Marco</creator><creator>McCarter, Martin M.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D93</scope></search><sort><creationdate>20241101</creationdate><title>Dynamic Anthropometrics in Pancreatic Cancer: Associations Between Body Composition Changes During Neoadjuvant Therapy and Survival Outcomes After Resection</title><author>Yee, Elliott J. ; Torphy, Robert J. ; Myers, Emily K. ; Meguid, Cheryl ; Franklin, Oskar ; Sugawara, Toshitaka ; Franco, Salvador Rodriguez ; Clark, Toshimasa J. ; Mungo, Benedetto ; Ahrendt, Steven A. ; Schulick, Richard D. ; del Chiaro, Marco ; McCarter, Martin M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c294t-44cecb0b3c3bb14706e6a57b45a8b16ac8758ff8690eb013fd870effee46529f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adenocarcinoma</topic><topic>Adipose tissue</topic><topic>Anthropometrics</topic><topic>Artificial intelligence</topic><topic>Biology</topic><topic>Body composition</topic><topic>Body fat</topic><topic>Body measurements</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Oncology</topic><topic>Pancreatic cancer</topic><topic>Pancreatic Tumors</topic><topic>Pathologic response</topic><topic>Regression analysis</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Survival</topic><topic>Tumors</topic><topic>Vertebrae</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yee, Elliott J.</creatorcontrib><creatorcontrib>Torphy, Robert J.</creatorcontrib><creatorcontrib>Myers, Emily K.</creatorcontrib><creatorcontrib>Meguid, Cheryl</creatorcontrib><creatorcontrib>Franklin, Oskar</creatorcontrib><creatorcontrib>Sugawara, Toshitaka</creatorcontrib><creatorcontrib>Franco, Salvador Rodriguez</creatorcontrib><creatorcontrib>Clark, Toshimasa J.</creatorcontrib><creatorcontrib>Mungo, Benedetto</creatorcontrib><creatorcontrib>Ahrendt, Steven A.</creatorcontrib><creatorcontrib>Schulick, Richard D.</creatorcontrib><creatorcontrib>del Chiaro, Marco</creatorcontrib><creatorcontrib>McCarter, Martin M.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Umeå universitet</collection><jtitle>Annals of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yee, Elliott J.</au><au>Torphy, Robert J.</au><au>Myers, Emily K.</au><au>Meguid, Cheryl</au><au>Franklin, Oskar</au><au>Sugawara, Toshitaka</au><au>Franco, Salvador Rodriguez</au><au>Clark, Toshimasa J.</au><au>Mungo, Benedetto</au><au>Ahrendt, Steven A.</au><au>Schulick, Richard D.</au><au>del Chiaro, Marco</au><au>McCarter, Martin M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic Anthropometrics in Pancreatic Cancer: Associations Between Body Composition Changes During Neoadjuvant Therapy and Survival Outcomes After Resection</atitle><jtitle>Annals of surgical oncology</jtitle><stitle>Ann Surg Oncol</stitle><addtitle>Ann Surg Oncol</addtitle><date>2024-11-01</date><risdate>2024</risdate><volume>31</volume><issue>12</issue><spage>8340</spage><epage>8351</epage><pages>8340-8351</pages><issn>1068-9265</issn><issn>1534-4681</issn><eissn>1534-4681</eissn><abstract>Background
Assessment of individual tumor biology and response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC) remains a clinical challenge. The significance of anthropometric (body composition) changes during chemotherapy as a surrogate for tumor biology in the setting of localized PDAC is unknown.
Methods
A retrospective, single-institution analysis of patients with PDAC who received neoadjuvant therapy (NAT) and pancreatectomy from 2017 to 2021 was performed. Radiologic anthropometric analysis used artificial intelligence-driven software to segment and compute total and sub-compartment muscle area, adipose tissue area, and attenuation values at the level of the L3 vertebra. Kaplan–Meier survival estimates, log-rank tests, and multivariable Cox regression models were used in survival analyses.
Results
The inclusion criteria were met by 138 patients. Although decreases in muscle and adipose tissue areas during NAT were predominant, a subset of patients experienced an increase in these compartments. Increases in muscle greater than 5% (hazard ratio [HR], 0.352; 95% confidence interval [CI] 0.135–0.918;
p
= 0.033) and increases in adipose tissue greater than 15% (HR, 0.375; 95% CI 0.144–0.978;
p
= 0.045), were significantly associated with improved survival, whereas loss of visceral fat greater than 15% was detrimental (HR 1.853; CI 1.099–3.124;
p
= 0.021). No significant associations with single time-point anthropometrics were observed. Gains in total muscle and adipose mass were associated with improved pathologic response to systemic therapy and less advanced pathologic tumor stage.
Conclusions
Dynamic anthropometric analysis during NAT for PDAC is a stronger prognostic indicator than measurements taken at a single point in time. Repeated anthropometric analysis during preoperative chemotherapy may serve as a biomarker for individual tumor biology and response to therapy.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>39120842</pmid><doi>10.1245/s10434-024-15975-6</doi><tpages>12</tpages></addata></record> |
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subjects | Adenocarcinoma Adipose tissue Anthropometrics Artificial intelligence Biology Body composition Body fat Body measurements Cancer therapies Chemotherapy Medicine Medicine & Public Health Oncology Pancreatic cancer Pancreatic Tumors Pathologic response Regression analysis Surgery Surgical Oncology Survival Tumors Vertebrae |
title | Dynamic Anthropometrics in Pancreatic Cancer: Associations Between Body Composition Changes During Neoadjuvant Therapy and Survival Outcomes After Resection |
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