Articles producció científica> Medicina i Cirurgia

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

  • Identification data

    Identifier: imarina:9287724
    Authors:
    Rodríguez-Tomàs EArenas MBaiges-Gaya GAcosta JAraguas PMalave BCastañé HJiménez-Franco ABenavides-Villarreal RSabater SSolà-Alberich RCamps JJoven J
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: 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
    Department: Ciències Mèdiques Bàsiques Medicina i Cirurgia
    URV's Author/s: Arenas Prat, Meritxell / Camps Andreu, Jorge / Joven Maried, Jorge
    Keywords: 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
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: jorge.camps@urv.cat meritxell.arenas@urv.cat jorge.joven@urv.cat
    Author identifier: 0000-0002-3165-3640 0000-0003-0815-2570 0000-0003-2749-4541
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2076-3921/11/12/2394
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Antioxidants. 11 (12):
    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
    Article's DOI: 10.3390/antiox11122394
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    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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