Visceral fat area and subcutaneous fat area as measures of body composition in soft tissue sarcoma.


Journal

Journal of surgical oncology
ISSN: 1096-9098
Titre abrégé: J Surg Oncol
Pays: United States
ID NLM: 0222643

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 31 05 2024
accepted: 09 06 2024
medline: 15 10 2024
pubmed: 15 10 2024
entrez: 15 10 2024
Statut: ppublish

Résumé

Soft tissue sarcomas (STS) are a heterogenous group of malignancies of mesenchymal origin. Given recent data linking obesity as well as the pattern of fat distribution with cancer outcomes, we sought to investigate the association of visceral fat area (VFA) and subcutaneous fat area (SFA) with oncologic outcomes in patients with STS undergoing surgery. We analyzed data from 88 patients with STS diagnosed from 2008 to 2022. Predictor variables included body mass index (BMI), VFA, and SFA. VFA and SFA were obtained from computed tomography of the abdomen and pelvis. Univariable and multivariable Cox regression analysis was used to analyze associations between predictor variables and overall survival and recurrence-free survival. Although BMI was closely correlated with VFA (r = 0.69, p < 0.0001) and SFA (r = 0.80, p < 0.0001), there was no significant association between high BMI, VFA or SFA, and worse oncologic outcomes. Although VFA and SFA are strongly correlated with BMI, we did not observe BMI nor imaging metrics of fat composition to be associated with worse oncologic outcomes. Further research is needed to elucidate any links between body fat content and metabolic or immune factors governing oncologic outcomes in STS.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Soft tissue sarcomas (STS) are a heterogenous group of malignancies of mesenchymal origin. Given recent data linking obesity as well as the pattern of fat distribution with cancer outcomes, we sought to investigate the association of visceral fat area (VFA) and subcutaneous fat area (SFA) with oncologic outcomes in patients with STS undergoing surgery.
METHODS METHODS
We analyzed data from 88 patients with STS diagnosed from 2008 to 2022. Predictor variables included body mass index (BMI), VFA, and SFA. VFA and SFA were obtained from computed tomography of the abdomen and pelvis. Univariable and multivariable Cox regression analysis was used to analyze associations between predictor variables and overall survival and recurrence-free survival.
RESULTS RESULTS
Although BMI was closely correlated with VFA (r = 0.69, p < 0.0001) and SFA (r = 0.80, p < 0.0001), there was no significant association between high BMI, VFA or SFA, and worse oncologic outcomes.
CONCLUSIONS CONCLUSIONS
Although VFA and SFA are strongly correlated with BMI, we did not observe BMI nor imaging metrics of fat composition to be associated with worse oncologic outcomes. Further research is needed to elucidate any links between body fat content and metabolic or immune factors governing oncologic outcomes in STS.

Identifiants

pubmed: 39402905
doi: 10.1002/jso.27751
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

543-551

Informations de copyright

© 2024 Wiley Periodicals LLC.

Références

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Auteurs

Eric Robles Garibay (ER)

Department of Surgery, Division of Surgical Oncology, University of California Davis, Sacramento, California, USA.

Sylvia M Cruz (SM)

Department of Surgery, Division of Surgical Oncology, University of California Davis, Sacramento, California, USA.

Sean J Judge (SJ)

Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Arta M Monjazeb (AM)

Department of Radiation Oncology, University of California Davis, Sacramento, California, USA.

Steven W Thorpe (SW)

Department of Orthopedic Surgery, Division of Orthopedic Oncology, University of California Davis, Sacramento, California, USA.

William J Murphy (WJ)

Department of Dermatology, University of California, Davis, Sacramento, California, USA.

Jing Lyu (J)

Department of Public Health Sciences, Division of Biostatistics, University of California Davis, Sacramento, California, USA.

Shuai Chen (S)

Department of Public Health Sciences, Division of Biostatistics, University of California Davis, Sacramento, California, USA.

Cyrus P Bateni (CP)

Department of Radiology, Division of Musculoskeletal Radiology, University of California Davis, Sacramento, California, USA.

Robert J Canter (RJ)

Department of Surgery, Division of Surgical Oncology, University of California Davis, Sacramento, California, USA.

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