383P Non-blood liquid biopsy in nipple discharge to decode tumor-derived CNV signatures for breast cancer detection and prognostication

May 1, 2026ESMO OpenOpen Access

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Key Points

This research aims to evaluate the efficacy of a non-blood liquid biopsy in identifying tumor-derived copy number variations (CNVs) for breast cancer detection and risk assessment.
Conducted a non-blood liquid biopsy analysis on nipple discharge samples.
Focused on carriers of pathogenic variants (M-PV) and BRCA2 genes.
Employed probabilistic genetic stratification (PGS) in risk estimation.
The addition of PGS significantly enhanced risk stratification for breast cancer.
Particularly notable improvements were observed in carriers of M-PV and BRCA2 genes.
Findings suggest potential for better-informed decision-making in clinical contexts.

Study decodes tumor-derived CNV signatures for breast cancer detection and prognostication, indicating improved risk estimation.

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Pu et al. (2026) studied this question.

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