Skip to main content

COVID-19 is an emerging, rapidly evolving situation.

What people with cancer should know: https://www.cancer.gov/coronavirus

Guidance for cancer researchers: https://www.cancer.gov/coronavirus-researchers

Get the latest public health information from CDC: https://www.coronavirus.gov

Get the latest research information from NIH: https://www.nih.gov/coronavirus

Grant Details

Grant Number: 5R01CA233885-02 Interpret this number
Primary Investigator: Furberg-Barnes, Anna Helena
Organization: Sloan-Kettering Inst Can Research
Project Title: Body Composition and the Obesity Paradox in Clear Cell Renal Cell Carcinoma
Fiscal Year: 2020


Abstract

ABSTRACT Clear cell renal cell carcinoma (ccRCC) is the most lethal urologic malignancy and its incidence is increasing. The proposed molecular epidemiology study moves beyond body mass index (BMI) to identify ccRCC patients at risk of poor prognosis while considering molecular tumor subtype based on gene expression, and is in direct response to an ASCO position statement that calls for more obesity-related research to ultimately inform weight recommendations and refine prognostic factors for cancer patients. The inverse association between BMI and mortality that is consistently observed among ccRCC patients presents a significant clinical challenge for patients, clinicians, and researchers because it is not clear how to interpret it. Mechanisms underlying the obesity paradox remain largely unexplored. In the proposed study, we will derive new body composition variables from existing, pre-surgical computed tomography (CT) scans, and transcriptomically-characterize the archived tumor specimens from 1200 non-metastatic ccRCC patients who were treated by nephrectomy at Memorial Sloan Kettering Cancer Center between 1995-2017 and followed for clinical outcomes. Based on strong preliminary data we hypothesize that the obesity paradox is influenced by disease heterogeneity and specific body composition features including low skeletal muscle and visceral adipose tissue radiodensity. In Aim 1 we will examine how body composition variables (i.e., area and density of skeletal muscle and adipose tissues) are associated with BMI and with validated ccRCC molecular tumor subtypes that are strongly associated with prognosis. In Aim 2 we will identify which aspects of body composition are independently associated with survival after accounting for molecular tumor subtype. By exploring how tumor RNA expression of immunologic, inflammatory, angiogenic and other cancer-related genes differ by body composition and survival in Aim 3, we will not only further our understanding of the link between body size and biological processes, but may also identify novel targets for tertiary prevention studies. The proposed research has the potential to make a lasting impact on the fields of cancer epidemiology and survivorship by clarifying the clinical interpretation of the obesity paradox, identifying novel prognostic factors derived from readily available CT scans, and informing the development of future behavioral or pharmacological interventions designed to improve clinical outcomes for the growing population of ccRCC patients.



Publications

Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Authors: Paris M.T. , Tandon P. , Heyland D.K. , Furberg H. , Premji T. , Low G. , Mourtzakis M. .
Source: Clinical nutrition (Edinburgh, Scotland), 2020 Oct; 39(10), p. 3049-3055.
EPub date: 2020-01-22.
PMID: 32007318
Related Citations

Influence of Contrast Administration on Computed Tomography-Based Analysis of Visceral Adipose and Skeletal Muscle Tissue in Clear Cell Renal Cell Carcinoma.
Authors: Paris M.T. , Furberg H.F. , Petruzella S. , Akin O. , Hötker A.M. , Mourtzakis M. .
Source: JPEN. Journal of parenteral and enteral nutrition, 2018 09; 42(7), p. 1148-1155.
EPub date: 2018-01-19.
PMID: 29350403
Related Citations




Back to Top