Association of Skin Microbiome Dynamics With Radiodermatitis in Patients With Breast Cancer.


Journal

JAMA oncology
ISSN: 2374-2445
Titre abrégé: JAMA Oncol
Pays: United States
ID NLM: 101652861

Informations de publication

Date de publication:
01 Feb 2024
Historique:
medline: 1 2 2024
pubmed: 1 2 2024
entrez: 1 2 2024
Statut: aheadofprint

Résumé

The interindividual differences in severity of acute radiation dermatitis are not well understood. To date, the pathomechanism and interplay of microbiome and radiodermatitis before and during treatment remain largely unknown. To assess the association of skin microbiome baseline composition and dynamics with severity of radiodermatitis in patients undergoing adjuvant radiotherapy for breast cancer. A longitudinal prospective pilot observational study was conducted between January 2017 and January 2019. Sequencing results were received in March 2021, and the data were analyzed from August 2021 to March 2023. This study was performed at an urban academic university cancer center. A total of 21 female patients with breast cancer after surgery were consecutively approached, of which 1 patient withdrew consent before the study started. Adjuvant radiotherapy for breast cancer for 7 weeks. The main outcome was the association of baseline skin microbiome composition and its dynamics with the severity of radiodermatitis. A total of 360 skin microbiome samples from patients were analyzed, taken before, during, and after radiotherapy, from both the treated and contralateral healthy sides. The skin microbiome samples were analyzed using 16S (V1-V3) amplicon sequencing and quantitative polymerase chain reaction bacterial enumeration. Twenty female patients with breast cancer after surgery who underwent radiotherapy enrolled in the study had a median (range) age of 61 (37-81) years. The median (range) body mass index of the patients was 24.2 (17.6-38.4). The 16S sequencing revealed that low (<5%) relative abundance of commensal skin bacteria (Staphylococcus epidermidis, Staphylococcus hominis, Cutibacterium acnes) at baseline composition was associated with the development of severe radiodermatitis with an accuracy of 100% (sensitivity and specificity of 100%, P < .001). Furthermore, in patients with severe radiodermatitis, quantitative polymerase chain reaction bacterial enumeration revealed a general non-species-specific overgrowth of skin bacterial load before the onset of severe symptoms. Subsequently, the abundance of commensal bacteria increased in severe radiodermatitis, coinciding with a decline in total bacterial load. The findings of this observational study indicated a potential mechanism associated with the skin microbiome for the pathogenesis of severe radiodermatitis, which may be a useful biomarker for personalized prevention of radiodermatitis in patients undergoing adjuvant radiotherapy for breast cancer.

Identifiants

pubmed: 38300584
pii: 2814528
doi: 10.1001/jamaoncol.2023.6533
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Claudia Hülpüsch (C)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Chair of Environmental Medicine, Technical University Munich, Munich, Germany.
CK CARE, Christine Kühne Center for Allergy Research and Education, Davos, Switzerland.

Avidan Uriel Neumann (AU)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
CK CARE, Christine Kühne Center for Allergy Research and Education, Davos, Switzerland.
Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany.

Matthias Reiger (M)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Chair of Environmental Medicine, Technical University Munich, Munich, Germany.
Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany.

Julius Clemens Fischer (JC)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Amedeo de Tomassi (A)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.

Gertrud Hammel (G)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany.

Carina Gülzow (C)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Chair of Environmental Medicine, Technical University Munich, Munich, Germany.
CK CARE, Christine Kühne Center for Allergy Research and Education, Davos, Switzerland.

Megan Fleming (M)

Chair of Environmental Medicine, Technical University Munich, Munich, Germany.

Hendrik Dapper (H)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Michael Mayinger (M)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Marco Vogel (M)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Christina Ertl (C)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Stephanie Elisabeth Combs (SE)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Germany Institute of Innovative Radiotherapy (iRT), Department of Radiation Sciences, Helmholtz Munich, Oberschleißheim, Germany.
German Consortium for Translational Cancer Research (DKTK), Partner Site Munich, Munich, Germany.

Claudia Traidl-Hoffmann (C)

Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Chair of Environmental Medicine, Technical University Munich, Munich, Germany.
CK CARE, Christine Kühne Center for Allergy Research and Education, Davos, Switzerland.
Institute of Environmental Medicine, Helmholtz Munich, Augsburg, Germany.

Kai Joachim Borm (KJ)

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Classifications MeSH