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Metabolic Biomarkers Assessed with PET/CT Predict Sex-Specific Longitudinal Outcomes in Patients with Diffuse Large B-Cell Lymphoma.
Jaswal, Shama; Sanders, Vanessa; Pullarkat, Priyanka; Teja, Stephanie; Salter, Amber; Watkins, Marcus P; Atagu, Norman; Ludwig, Daniel R; Mhlanga, Joyce; Mellnick, Vincent M; Peterson, Linda R; Bartlett, Nancy L; Kahl, Brad S; Fehniger, Todd A; Ghobadi, Armin; Cashen, Amanda F; Mehta-Shah, Neha; Ippolito, Joseph E.
Afiliação
  • Jaswal S; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Sanders V; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Pullarkat P; Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Teja S; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Salter A; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Watkins MP; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Atagu N; Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ludwig DR; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Mhlanga J; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Mellnick VM; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Peterson LR; Department of Medicine, Division of Cardiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Bartlett NL; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Kahl BS; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Fehniger TA; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ghobadi A; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Cashen AF; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Mehta-Shah N; Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ippolito JE; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Cancers (Basel) ; 14(12)2022 Jun 14.
Article em En | MEDLINE | ID: mdl-35740596
ABSTRACT
In many cancers, including lymphoma, males have higher incidence and mortality than females. Emerging evidence demonstrates that one mechanism underlying this phenomenon is sex differences in metabolism, both with respect to tumor nutrient consumption and systemic alterations in metabolism, i.e., obesity. We wanted to determine if visceral fat and tumor glucose uptake with fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) could predict sex-dependent outcomes in patients with diffuse large B-cell lymphoma (DLBCL). We conducted a retrospective analysis of 160 patients (84 males; 76 females) with DLBCL who had imaging at initial staging and after completion of therapy. CT-based relative visceral fat area (rVFA), PET-based SUVmax normalized to lean body mass (SULmax), and end-of-treatment FDG-PET 5PS score were calculated. Increased rVFA at initial staging was an independent predictor of poor OS only in females. At the end of therapy, increase in visceral fat was a significant predictor of poor survival only in females. Combining the change in rVFA and 5PS scores identified a subgroup of females with visceral fat gain and high 5PS with exceptionally poor outcomes. These data suggest that visceral fat and tumor FDG uptake can predict outcomes in DLBCL patients in a sex-specific fashion.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article