Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment.

ABSTRACT: Sensitive and accurate determination of margins between breast-conserving surgery (BCS) is challenging. This study provided a novel approach and biomarker for margin detection of BC through multi-modality imaging of femtosecond label-free imaging (FLI) microscopy and imaging mass spectrometry (IMS) plus machine learning (ML). The regions of interest (ROI) identified by FLI microscopy closely match tissue micro-regions diagnosed by pathologists. Additionally, a biomarker panel comprising taurine, threonate, and glutamate was established for classifying BC and tumor-adjacent noncancerous breast (TANB) tissues. Among these, taurine with higher abundance was confirmed as a potential biomarker to assess positive margins. Elevated level of taurine was associated with poor overall survival in BC

SUBMITTER: Lan C 

PROVIDER: S-EPMC12796486 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature