Repositori institucional URV
| URV's Author/s: | Arenas Prat, Meritxell / Camps Andreu, Jorge / Joven Maried, Jorge |
| 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 |
| 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 |
| Journal publication year: | 2022 |
| Publication Type: | Journal Publications |
| 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 |
| Papper original source: | Antioxidants. 11 (12): |
| 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. |
| Article's DOI: | 10.3390/antiox11122394 |
| Link to the original source: | https://www.mdpi.com/2076-3921/11/12/2394 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Ciències Mèdiques Bàsiques Medicina i Cirurgia |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| 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 |
| 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 |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-09-07 |
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