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Metabolomics in Radiotherapy-Induced Early Adverse Skin Reactions of Breast Cancer Patients.
McMahon, Alexandra N; Lee, Eunkyung; Takita, Cristiane; Reis, Isildinha M; Wright, Jean L; Hu, Jennifer J.
Afiliación
  • McMahon AN; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Lee E; Department of Health Sciences, University of Central Florida, Orlando, FL, USA.
  • Takita C; Department of Radiation-Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Reis IM; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Wright JL; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.
  • Hu JJ; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
Article en En | MEDLINE | ID: mdl-39050765
ABSTRACT

Background:

Early adverse skin reactions (EASRs) are common side effects of radiotherapy (RT) that impact the quality of life of breast cancer patients. This study used global metabolomics profiles of breast cancer populations to identify metabolic pathways and biomarkers significantly associated with RT-induced EASRs to identify potential targets for precision interventions.

Methods:

We used a frequency-matched study design to identify pre-RT urine samples from 60 female breast cancer patients (30 with high and 30 with low EASRs) for metabolomic analysis by Metabolon Inc. using UPLC-MS/MS and GC-MS. Using MetaboAnalyst, we performed metabolomic data analysis and visualization on 84 candidate metabolites from 478 total compounds. We used the Oncology Nursing Society (ONS) Skin Toxicity Criteria (0-6) for EASRs assessment.

Results:

Seven metabolic pathways were significantly associated with RT-induced EASRs, including alanine, aspartate, and glutamate metabolism (p = 0.0028), caffeine metabolism (p = 0.0360), pentose and glucuronate interconversions (p = 0.0028), glycine, serine, and threonine metabolism (p = 0.0360), beta-alanine metabolism (p = 0.0210), pantothenate and CoA biosynthesis (p = 0.0028), and glutathione metabolism (p = 0.0490). The alanine, aspartate, and glutamate metabolic pathway had the lowest false discovery rate (FDR)-adjusted p-value and the highest impact value of 0.60. Thirteen metabolite biomarkers were significantly associated with RT-induced EASRs.

Conclusion:

Our data show that the alanine, aspartate, and glutamate metabolism pathways had the highest impact value on RT-induced EASRs. Future larger studies are warranted to validate our findings and facilitate targeted interventions for preventing or mitigating RT-induced EASRs, offering a promising direction for further research and clinical applications.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Breast Cancer (Dove Med Press) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Breast Cancer (Dove Med Press) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos