Plasma Metabolome Signature Indicative of BRCA1 Germline Status Independent of Cancer Incidence

Individuals carrying a pathogenic germline variant in the breast cancer predisposition gene (g +) are prone to developing breast cancer. Apart from its well-known role in DNA repair, BRCA1 has been shown to powerfully impact cellular metabolism. While, in general, metabolic reprogramming was named a...

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Bibliographic Details
Published in:Frontiers in oncology 2021-04, Vol.11, p.627217-627217
Main Authors: Penkert, Judith, Märtens, Andre, Seifert, Martin, Auber, Bernd, Derlin, Katja, Hille-Betz, Ursula, Hörmann, Philipp, Klopp, Norman, Prokein, Jana, Schlicker, Lisa, Wacker, Frank, Wallaschek, Hannah, Schlegelberger, Brigitte, Hiller, Karsten, Ripperger, Tim, Illig, Thomas
Format: Article
Language:English
Subjects:
BRCA1 germline mutation
breast cancer
energy metabolism
HIF1 alpha
NAD+ balance
Oncology
plasma metabolome
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Summary:Individuals carrying a pathogenic germline variant in the breast cancer predisposition gene (g +) are prone to developing breast cancer. Apart from its well-known role in DNA repair, BRCA1 has been shown to powerfully impact cellular metabolism. While, in general, metabolic reprogramming was named a hallmark of cancer, disrupted metabolism has also been suggested to drive cancer cell evolution and malignant transformation by critically altering microenvironmental tissue integrity. Systemic metabolic effects induced by germline variants in cancer predisposition genes have been demonstrated before. Whether or not systemic metabolic alterations exist in g + individuals independent of cancer incidence has not been investigated yet. We therefore profiled the plasma metabolome of 72 g + women and 72 age-matched female controls, none of whom (carriers and non-carriers) had a prior cancer diagnosis and all of whom were cancer-free during the follow-up period. We detected one single metabolite, pyruvate, and two metabolite ratios involving pyruvate, lactate, and a metabolite of yet unknown structure, significantly altered between the two cohorts. A machine learning signature of metabolite ratios was able to correctly distinguish between g + and controls in ~82%. The results of this study point to innate systemic metabolic differences in g + women independent of cancer incidence and raise the question as to whether or not constitutional alterations in energy metabolism may be involved in the etiology of -associated breast cancer.
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2021.627217