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Gradient Boosting Machine Identified Predictive Variables for Breast Cancer Patients Pre- and Post-Radiotherapy: Preliminary Results of an 8-Year Follow-Up Study

  • Datos identificativos

    Identificador: imarina:9287724
    Autores:
    Rodríguez-Tomàs EArenas MBaiges-Gaya GAcosta JAraguas PMalave BCastañé HJiménez-Franco ABenavides-Villarreal RSabater SSolà-Alberich RCamps JJoven J
    Resumen:
    Radiotherapy (RT) is part of the standard treatment of breast cancer (BC) because of its effects on relapse reduction and survival. However, response to treatment is highly variable, and some patients may develop disease progression (DP), a second primary cancer, or may succumb to the disease. Antioxidant systems and inflammatory processes are associated with the onset and development of BC and play a role in resistance to treatment. Here, we report our investigation into the clinical evolution of BC patients, and the impact of RT on the circulating levels of the antioxidant enzyme paraoxonase-1 (PON1), cytokines, and other standard biochemical and hematological variables. Gradient Boosting Machine (GBM) algorithm was used to identify predictive variables. This was a retrospective study in 237 patients with BC. Blood samples were obtained pre- and post-RT, with samples of healthy women used as control subjects. Results showed that 24 patients had DP eight years post-RT, and eight patients developed a second primary tumor. The algorithm identified interleukin-4 and total lymphocyte counts as the most relevant indices discriminating between BC patients and control subjects, while neutrophils, total leukocytes, eosinophils, very low-density lipoprotein cholesterol, and PON1 activity were potential predictors of fatal outcome.
  • Otros:

    Autor según el artículo: Rodríguez-Tomàs E; Arenas M; Baiges-Gaya G; Acosta J; Araguas P; Malave B; Castañé H; Jiménez-Franco A; Benavides-Villarreal R; Sabater S; Solà-Alberich R; Camps J; Joven J
    Departamento: Ciències Mèdiques Bàsiques Medicina i Cirurgia
    Autor/es de la URV: Arenas Prat, Meritxell / Camps Andreu, Jorge / Joven Maried, Jorge
    Palabras clave: Response to treatment Radiotherapy Prognosis Paraoxonase-1 activity Metastatic disease Follow-up Cancer recurrence Breast cancer Biomarkers women survival risk response to treatment radiotherapy prognosis older metastatic disease local recurrence irradiation follow-up cancer recurrence breast cancer
    Resumen: Radiotherapy (RT) is part of the standard treatment of breast cancer (BC) because of its effects on relapse reduction and survival. However, response to treatment is highly variable, and some patients may develop disease progression (DP), a second primary cancer, or may succumb to the disease. Antioxidant systems and inflammatory processes are associated with the onset and development of BC and play a role in resistance to treatment. Here, we report our investigation into the clinical evolution of BC patients, and the impact of RT on the circulating levels of the antioxidant enzyme paraoxonase-1 (PON1), cytokines, and other standard biochemical and hematological variables. Gradient Boosting Machine (GBM) algorithm was used to identify predictive variables. This was a retrospective study in 237 patients with BC. Blood samples were obtained pre- and post-RT, with samples of healthy women used as control subjects. Results showed that 24 patients had DP eight years post-RT, and eight patients developed a second primary tumor. The algorithm identified interleukin-4 and total lymphocyte counts as the most relevant indices discriminating between BC patients and control subjects, while neutrophils, total leukocytes, eosinophils, very low-density lipoprotein cholesterol, and PON1 activity were potential predictors of fatal outcome.
    Áreas temáticas: Química Physiology Molecular biology Medicina ii Medicina i Interdisciplinar Food science & technology Food science Farmacia Engenharias ii Clinical biochemistry Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Chemistry, medicinal Cell biology Biotecnología Biodiversidade Biochemistry & molecular biology Biochemistry
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: jorge.camps@urv.cat meritxell.arenas@urv.cat jorge.joven@urv.cat
    Identificador del autor: 0000-0002-3165-3640 0000-0003-0815-2570 0000-0003-2749-4541
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2076-3921/11/12/2394
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Antioxidants. 11 (12):
    Referencia de l'ítem segons les normes APA: Rodríguez-Tomàs E; Arenas M; Baiges-Gaya G; Acosta J; Araguas P; Malave B; Castañé H; Jiménez-Franco A; Benavides-Villarreal R; Sabater S; Solà-Alberi (2022). Gradient Boosting Machine Identified Predictive Variables for Breast Cancer Patients Pre- and Post-Radiotherapy: Preliminary Results of an 8-Year Follow-Up Study. Antioxidants, 11(12), -. DOI: 10.3390/antiox11122394
    DOI del artículo: 10.3390/antiox11122394
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Biochemistry,Biochemistry & Molecular Biology,Cell Biology,Chemistry, Medicinal,Clinical Biochemistry,Food Science,Food Science & Technology,Molecular Biology,Physiology
    Response to treatment
    Radiotherapy
    Prognosis
    Paraoxonase-1 activity
    Metastatic disease
    Follow-up
    Cancer recurrence
    Breast cancer
    Biomarkers
    women
    survival
    risk
    response to treatment
    radiotherapy
    prognosis
    older
    metastatic disease
    local recurrence
    irradiation
    follow-up
    cancer recurrence
    breast cancer
    Química
    Physiology
    Molecular biology
    Medicina ii
    Medicina i
    Interdisciplinar
    Food science & technology
    Food science
    Farmacia
    Engenharias ii
    Clinical biochemistry
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Chemistry, medicinal
    Cell biology
    Biotecnología
    Biodiversidade
    Biochemistry & molecular biology
    Biochemistry
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