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Body Composition and Metabolic Dysfunction Really Matter for the Achievement of Better Outcomes in High-Grade Serous Ovarian Cancer.
Cuello, Mauricio A; Gómez, Fernán; Wichmann, Ignacio; Suárez, Felipe; Kato, Sumie; Orlandini, Elisa; Brañes, Jorge; Ibañez, Carolina.
Afiliação
  • Cuello MA; Department Gynecology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 833150, Chile.
  • Gómez F; Advanced Center for Chronic Diseases (ACCDiS), Faculty of Medicine, Pontificia Universidad Católica de Chile (PUC), Santiago 833150, Chile.
  • Wichmann I; Department Gynecology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 833150, Chile.
  • Suárez F; Advanced Center for Chronic Diseases (ACCDiS), Faculty of Medicine, Pontificia Universidad Católica de Chile (PUC), Santiago 833150, Chile.
  • Kato S; Department of Obstetrics, Division of Obstetrics and Gynecology, Faculty of Medicine, Pontificia Universidad Católica de Chile (PUC), Santiago 833150, Chile.
  • Orlandini E; Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Brañes J; Department Gynecology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 833150, Chile.
  • Ibañez C; Department Gynecology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 833150, Chile.
Cancers (Basel) ; 15(4)2023 Feb 10.
Article em En | MEDLINE | ID: mdl-36831500
Although obesity-associated metabolic disorders have a negative impact on various cancers, such evidence remains controversial for ovarian cancer. Here, we aimed to evaluate the impact of body composition (BC) and metabolism disorders on outcomes in high-grade serous ovarian cancer (HGSOC). METHODS: We analyzed clinical/genomic data from two cohorts (PUC n = 123/TCGA-OV n = 415). BC was estimated using the measurement of adiposity/muscle mass by a CT scan. A list of 425 genes linked to obesity/lipid metabolism was used to cluster patients using non-negative matrix factorization. Differential expression, gene set enrichment analyses, and Ecotyper were performed. Survival curves and Cox-regression models were also built-up. RESULTS: We identified four BC types and two clusters that, unlike BMI, effectively correlate with survival. High adiposity and sarcopenia were associated with worse outcomes. We also found that recovery of a normal BC and drug interventions to correct metabolism disorders had a positive impact on outcomes. Additionally, we showed that immune-cell-depleted microenvironments predominate in HGSOC, which was more evident among the BC types and the obesity/lipid metabolism cluster with worse prognosis. CONCLUSIONS: We have demonstrated the relevance of BC and metabolism disorders as determinants of outcomes in HGSOC. We have shone a spotlight on the relevance of incorporating corrective measures addressing these disorders to obtain better results.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Chile

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Chile