Literature DB >> 23523147

Quantitative measures of visceral adiposity and body mass index in predicting rectal cancer outcomes after neoadjuvant chemoradiation.

Whalen Clark1, Erin M Siegel, Y Ann Chen, Xiuhua Zhao, Colin M Parsons, Jonathan M Hernandez, Jill Weber, Shalini Thareja, Junsung Choi, David Shibata.   

Abstract

BACKGROUND: The association between body mass index as a measure of obesity and rectal cancer outcomes has been inconsistent. Radiologic measures of visceral adiposity using CT scans have not been well characterized among rectal cancer patients. The objective of this study was to examine quantitative radiologic measures of visceral obesity compared with body mass index in predicting patient outcomes among patients undergoing neoadjuvant chemoradiation and resection for locally advanced rectal cancers. STUDY
DESIGN: We identified 99 rectal adenocarcinoma patients treated with neoadjuvant chemoradiation and surgical resection. Visceral and subcutaneous fat areas, as well as perinephric fat thickness (PNF), were recorded and categorized as obese (body mass index ≥30, visceral fat area to subcutaneous fat area ratio [V/S] ≥0.4, or median PNF). The Kaplan-Meier method, log-rank test, and Cox proportional hazards models evaluated overall and disease-free survival differences by adiposity.
RESULTS: Viscerally obese rectal cancer patients (V/S >0.4 or PNF) were more likely to be older, male, and have pre-existing obesity-related conditions (eg, diabetes, hypertension, and/or hypercholesterolemia). Elevated V/S or PNF was associated with shorter disease-free survival (p = 0.02) or overall survival time (p = 0.047), respectively. Among patients with well to moderately differentiated tumors, visceral obesity was associated with poorer disease-free survival (V/S >0.4: adjusted hazard ratio = 5.0; 95% CI, 1.2-22.0).
CONCLUSIONS: Visceral fat area to subcutaneous fat area ratio and PNF were strongly associated with key preoperative metabolic comorbidities, and body mass index was not. Findings suggests that elevated visceral adiposity was associated with an increased risk of recurrence, which was most evident among patients with well to moderately differentiated tumors and those with incomplete response to neoadjuvant chemoradiation treatment. Quantitative measures of visceral adiposity warrant large-scale prospective evaluation.
Copyright © 2013 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23523147      PMCID: PMC4621808          DOI: 10.1016/j.jamcollsurg.2013.01.007

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  43 in total

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  56 in total

1.  Visceral Adiposity is a Risk Factor for Poor Prognosis in Colorectal Cancer Patients Receiving Adjuvant Chemotherapy.

Authors:  Chun Seng Lee; David J Murphy; Colm McMahon; Blathnaid Nolan; Garret Cullen; Hugh Mulcahy; Kieran Sheahan; Elizabeth Barnes; David Fennelly; Elizabeth J Ryan; Glen A Doherty
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3.  Can the mesorectal fat tissue volume be used as a predictive factor in foreseeing the response to neoadjuvant chemoradiotherapy in rectum cancer? A CT-based preliminary study.

Authors:  Okan Dilek; Huseyin Akkaya; Cenk Parlatan; Tolga Koseci; Zeynel Abidin Tas; Gökhan Soker; Bozkurt Gulek
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4.  Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study).

Authors:  Bette J Caan; Jeffrey A Meyerhardt; Candyce H Kroenke; Stacey Alexeeff; Jingjie Xiao; Erin Weltzien; Elizabeth Cespedes Feliciano; Adrienne L Castillo; Charles P Quesenberry; Marilyn L Kwan; Carla M Prado
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-05-15       Impact factor: 4.254

5.  Impact of Body Composition on Surgical Outcome in Rectal Cancer Patients, a Retrospective Cohort Study.

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Journal:  World J Surg       Date:  2019-05       Impact factor: 3.352

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7.  Association of total adiposity and computed tomographic measures of regional adiposity with incident cancer risk: a prospective population-based study of older adults.

Authors:  Rachel A Murphy; Taylor F Bureyko; Iva Miljkovic; Jane A Cauley; Suzanne Satterfield; Trisha F Hue; Heidi D Klepin; Steven R Cummings; Anne B Newman; Tamara B Harris
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8.  Development of an improved risk calculator for complications in proctectomy.

Authors:  Scott K Sherman; Jennifer E Hrabe; Mary E Charlton; John W Cromwell; John C Byrn
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9.  Measurements of adiposity as prognostic biomarkers for survival with anti-angiogenic treatment in epithelial ovarian cancer: An NRG Oncology/Gynecologic Oncology Group ancillary data analysis of GOG 218.

Authors:  K N Slaughter Wade; M F Brady; T Thai; Y Wang; B Zheng; R Salani; K S Tewari; H J Gray; J N Bakkum-Gamez; R A Burger; K N Moore; M A Bookman
Journal:  Gynecol Oncol       Date:  2019-08-10       Impact factor: 5.482

10.  Effect of BMI on outcomes in proctectomy.

Authors:  Jennifer E Hrabe; Scott K Sherman; Mary E Charlton; John W Cromwell; John C Byrn
Journal:  Dis Colon Rectum       Date:  2014-05       Impact factor: 4.585

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