Literature DB >> 19837679

Visceral fat area is an independent predictive biomarker of outcome after first-line bevacizumab-based treatment in metastatic colorectal cancer.

Boris Guiu1, Jean Michel Petit, Franck Bonnetain, Sylvain Ladoire, Séverine Guiu, Jean-Pierre Cercueil, Denis Krausé, Patrick Hillon, Christophe Borg, Bruno Chauffert, François Ghiringhelli.   

Abstract

BACKGROUND: Adipose tissue releases angiogenic factors that may promote tumour growth.
OBJECTIVE: To determine whether body mass index (BMI), subcutaneous fat area (SFA) and visceral fat area (VFA) are associated with outcomes in patients given first-line bevacizumab-based treatment for metastatic colorectal cancer (MCC). Patients CT was used to measure SFA and VFA in 120 patients with MCC who received bevacizumab-based treatment (bevacizumab group, n=80) or chemotherapy alone (chemotherapy group, n=40) as first-line treatment. Associations linking BMI, SFA and VFA to tumour response, time-to-progression (TTP) and overall survival (OS) were evaluated.
RESULTS: In the bevacizumab group, median follow-up lasted for 24 months (3-70). BMI, SFA and VFA values above the median (ie, high BMI, high VFA and high SFA) were significantly associated with absence of a response. TTP was shorter in patients with high BMI (9 vs 12 months; p=0.01) or high VFA (9 vs 14 months; p=0.0008). High VFA was associated with shorter OS (p=0.0493). By multivariate analysis, high VFA was independently associated with response, TTP and OS (HR=7.18, p=0.008, HR=5.79, p=0.005 and HR=2.88, p=0.027, respectively). In the chemotherapy group, median follow-up lasted for 30 months (4-84). BMI, SFA and VFA were not associated with response, TTP or OS. In the whole population, interaction between VFA and bevacizumab administration was significant for response (OR=3.31, p=0.005) and TTP (HR=1.64, p=0.022), thereby confirming the results.
CONCLUSION: This study provides the first evidence that high VFA independently predicts a poorer outcome in patients given first-line bevacizumab-based treatment for MCC. However, this predictive biomarker needs to be validated in a different dataset.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19837679     DOI: 10.1136/gut.2009.188946

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


  79 in total

Review 1.  Impact of obesity on chemotherapy management and outcomes in women with gynecologic malignancies.

Authors:  Neil S Horowitz; Alexi A Wright
Journal:  Gynecol Oncol       Date:  2015-04-12       Impact factor: 5.482

2.  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
Journal:  J Gastrointest Cancer       Date:  2015-09

Review 3.  Adipocyte and lipid metabolism in cancer drug resistance.

Authors:  Yihai Cao
Journal:  J Clin Invest       Date:  2019-07-02       Impact factor: 14.808

Review 4.  The Plausibility of Obesity Paradox in Cancer-Point.

Authors:  Yikyung Park; Lindsay L Peterson; Graham A Colditz
Journal:  Cancer Res       Date:  2018-04-15       Impact factor: 12.701

5.  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

Review 6.  Signals from the Adipose Microenvironment and the Obesity-Cancer Link-A Systematic Review.

Authors:  Caroline Himbert; Mahmoud Delphan; Dominique Scherer; Laura W Bowers; Stephen Hursting; Cornelia M Ulrich
Journal:  Cancer Prev Res (Phila)       Date:  2017-09

7.  Visceral obesity and colorectal cancer: are we missing the boat with BMI?

Authors:  Aaron S Rickles; James C Iannuzzi; Oleg Mironov; Andrew-Paul Deeb; Abhiram Sharma; Fergal J Fleming; John R T Monson
Journal:  J Gastrointest Surg       Date:  2012-10-23       Impact factor: 3.452

8.  Obesity promotes resistance to anti-VEGF therapy in breast cancer by up-regulating IL-6 and potentially FGF-2.

Authors:  Joao Incio; Jennifer A Ligibel; Daniel T McManus; Priya Suboj; Keehoon Jung; Kosuke Kawaguchi; Matthias Pinter; Suboj Babykutty; Shan M Chin; Trupti D Vardam; Yuhui Huang; Nuh N Rahbari; Sylvie Roberge; Dannie Wang; Igor L Gomes-Santos; Stefan B Puchner; Christopher L Schlett; Udo Hoffmman; Marek Ancukiewicz; Sara M Tolaney; Ian E Krop; Dan G Duda; Yves Boucher; Dai Fukumura; Rakesh K Jain
Journal:  Sci Transl Med       Date:  2018-03-14       Impact factor: 17.956

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

Authors:  Whalen Clark; Erin M Siegel; Y Ann Chen; Xiuhua Zhao; Colin M Parsons; Jonathan M Hernandez; Jill Weber; Shalini Thareja; Junsung Choi; David Shibata
Journal:  J Am Coll Surg       Date:  2013-03-21       Impact factor: 6.113

10.  A randomized phase II dose-response exercise trial among colon cancer survivors: Purpose, study design, methods, and recruitment results.

Authors:  Justin C Brown; Andrea B Troxel; Bonnie Ky; Nevena Damjanov; Babette S Zemel; Michael R Rickels; Andrew D Rhim; Anil K Rustgi; Kerry S Courneya; Kathryn H Schmitz
Journal:  Contemp Clin Trials       Date:  2016-03-10       Impact factor: 2.226

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.