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Sarcopenic Obesity in Cervical Carcinoma: A Strong and Independent Prognostic Factor beyond the Conventional Predictors (ESTHER Study-AFRAID Project)

  • Federica Medici*
  • , Martina Ferioli
  • , Silvia Cammelli
  • , Ludovica Forlani
  • , Viola Laghi
  • , Johnny Ma
  • , Savino Cilla
  • , Milly Buwenge
  • , Gabriella Macchia
  • , Francesco Deodato
  • , Maria Vadalà
  • , Claudio Malizia
  • , Luca Tagliaferri
  • , Anna Myriam Perrone
  • , Pierandrea De Iaco
  • , Lidia Strigari
  • , Alberto Bazzocchi
  • , Stefania Rizzo
  • , Alessandra Arcelli
  • , Alessio Giuseppe Morganti
  • *Corresponding author
  • University of Bologna
  • Alma Mater Studiorum University of Bologna
  • IRCCS Istituto Ortopedico Rizzoli - Bologna
  • Ente Ospedaliero Cantonale

Research output: Contribution to journalArticle

Abstract

Locally advanced cervical cancer represents a significant treatment challenge. Body composition parameters such as body mass index, sarcopenia, and sarcopenic obesity, defined by sarcopenia and BMI ≥ 30 kg/m2, have been identified as potential prognostic factors, yet their overall impact remains underexplored. This study assessed the relationship between these anthropometric parameters alongside clinical prognostic factors on the prognosis of 173 cervical cancer patients. Survival outcomes in terms of local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were analyzed using Kaplan regression methods—Meier and Cox. Older age, lower hemoglobin levels, higher FIGO (International Federation of Gynecology and Obstetrics) stages, and lower total radiation doses were significantly associated with worse outcomes. Univariate analysis showed a significant correlation between BMI and the outcomes examined, revealing that normal-weight patients show higher survival rates, which was not confirmed by the multivariate analysis. Sarcopenia was not correlated with any of the outcomes considered, while sarcopenic obesity was identified as an independent negative predictor of DFS (HR: 5.289, 95% CI: 1.298–21.546, p = 0.020) and OS (HR: 2.645, 95% CI: 1.275–5.488, p = 0.009). This study highlights the potential of sarcopenic obesity as an independent predictor of clinical outcomes. These results support their inclusion in prognostic assessments and treatment planning for patients with advanced cervical cancer.
Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalCancers
Volume16
Issue number5
DOIs
Publication statusPublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Keywords

  • anemia
  • body mass index
  • cervical cancer
  • chemoradiation
  • hemoglobin
  • observational study
  • overall survival
  • predictive model
  • sarcopenia
  • sarcopenic obesity

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