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FOXC1 Expression Predicts Capecitabine Efficacy in Patients with Triple-Negative Breast Cancer from the GEICAM_CIBOMA Trial

  • Federico Rojo
  • , Clive R. Taylor
  • , Carlos Barrios
  • , Laura Torrecillas
  • , Manuel Ruiz-Borrego
  • , Sandra Perez-Buira
  • , Jose Bines
  • , Angel Guerrero-Zotano
  • , Jose A. Garcia-Saenz
  • , Roberto Torres
  • , Juan de la Haba-Rodriguez
  • , Francisco Ayala
  • , Henry Gomez
  • , Antonio Llombart
  • , Maria Rodriguez de la Borbolla
  • , Jose Manuel Baena-Cañada
  • , Agusti Barnadas
  • , Lourdes Calvo
  • , Jesus Herranz
  • , Raul Rincon
  • Rosalia Caballero, Begoña Bermejo, Partha S. Ray, Miguel Martin
  • GEICAM
  • The Institute for Health Research Foundation Jiménez Díaz University Hospital
  • Inc. (OT)
  • Latin American Cooperative Oncology Group
  • Museu de Ciência e Tecnología - PUCRS
  • CDMX
  • Hospital Universitario Virgen del Rocío
  • INCA
  • Instituto Valenciano de Oncologia
  • San Carlos University Hospital
  • Instituto Nacional del Cáncer, Chile
  • University Reina Sofia Hospital
  • Centro de Investigación Biomédica en Red de Cáncer
  • GEICAM Spanish Breast Cancer Group
  • Hospital General Universitario Gregorio Marañón
  • Instituto Nacional de Enfermedades Neoplásicas Eduardo Cáceres Graziani
  • Universidad Ricardo Palma
  • Hospital Arnau de Vilanova
  • Hospital Universitario de Valme
  • Hospital Universitario Puerta del Mar
  • Universitat Autònoma de Barcelona
  • Complejo Hospitalario Universitario A Coruña (CHUAC)
  • Universidad de Valencia
  • Universidad Complutense de Madrid

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Purpose: In a prespecified GEICAM_CIBOMA trial (NCT00130533) correlative analysis, PAM50 non–basal-like breast cancer (non-BLBC) status distinguished patients with triple-negative breast cancer (TNBC) who are most likely to benefit from adjuvant capecitabine. The standardized forkhead box C1 (FOXC1) IHC test has demonstrated strong reliability in classifying the BLBC subtype throughout TNBC cohorts. This translational analysis aimed to evaluate the prognostic/predictive significance of BLBC classification by FOXC1 IHC in the phase III GEICAM_CIBOMA clinical trial. Experimental Design: Tumor tissues from patients with TNBC randomized to standard (neo)adjuvant chemotherapy followed by capecitabine versus observation were analyzed using the standardized FOXC1 IHC test to assess its BLBC/non-BLBC TNBC subtyping capacity as a distant relapse-free survival clinical outcome predictor of capecitabine benefit (exploratory endpoints: disease-free survival, overall survival, and recurrence-free survival). Results: A total of 705 (80.5%) patients from the GEI-CAM_CIBOMA trial were evaluable for FOXC1 expression analysis, with balanced distribution between the trial’s treat-ments. FOXC1 proportion/intensity (VFOXC1) score–based subtyping demonstrated a strong association [AUC ¼ 0.87; 95% confidence interval (CI), 0.84–0.91] and agreement (κ index ¼ 0.43; P < 0.0001) with PAM50 molecular subtyping. VFOXC1 non-BLBC TNBC subtype was a significant independent predictor of clinical benefit with capecitabine for distant relapse-free survival (HR, 0.44; 95% CI, 0.25–0.76; P ¼ 0.003). This predictive effect of VFOXC1 non-BLBC on capecitabine efficacy was further confirmed at disease-free survival (HR, 0.47; 95% CI, 0.28–0.78; P ¼ 0.003), overall survival (HR, 0.48; 95% CI, 0.24–0.96; P ¼ 0.038), and recurrence-free survival (HR, 0.39; 95% CI, 0.22–0.72; P ¼ 0.002). Conclusions: This ambispective GEICAM_CIBOMA translational analysis validated FOXC1-based basal-like/non–basal-like subtyping as a pragmatic alternative to PAM50 subtyping and independently predicted the benefit of adding capecitabine to standard (neo)adjuvant chemotherapy in TNBC.

Original languageEnglish
Pages (from-to)3715-3724
Number of pages10
JournalClinical Cancer Research
Volume31
Issue number17
DOIs
StatePublished - 1 Sep 2025
Externally publishedYes

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

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