Evidence map›Paper›PMID 41402452›Full record

ArticleNPJ digital medicine2025

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

Chunyan Lan, Ying Peng, Mateng Bai, Hengtong Zuo, Yue Li, Hainan Wu, Ting Zhang, Xin Zhu, Jie He, Dan Guo and 3 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07681245 (Label-free Femtosecond Laser Imaging Combined With the Fast Lung Artificial Intelligence Model for Rapid Intraoperative Diagnosis of Lung Surgical Specimens), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07681245 recruitingnot on this mapstarted 2026, after this paper: background citation

Label-free Femtosecond Laser Imaging Combined With the Fast Lung Artificial Intelligence Model for Rapid Intraoperative Diagnosis of Lung Surgical Specimens: A Multicentre, Prospective, Parallel-workflow, Non-inferiority Study.

Typeobservational_patient_registrySponsorShanghai Chest HospitalRan2026 to 2026Enrolled294ConditionsLung CancerArmsFemtosecond Laser Imaging, Frozen Section Diagnosis
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Chunyan Lan *Clinical Biobank, Department Medical Research Central, National Infrastructures for Translational Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ying Peng *Department of General Surgery, Peking University Third Hospital, Beijing, China.
Mateng BaiBeijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Hengtong ZuoState Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yue LiNational Human Genetic Resources Center, National Research Institute for Family Planning, Beijing, China.
Hainan WuSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Ting ZhangSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Xin ZhuSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China.
Jie HeBeijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Dan GuoClinical Biobank, Department Medical Research Central, National Infrastructures for Translational Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. guodan@pumch.cn.
Xiaofang ChenBeijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. xfchen@buaa.edu.cn.
Hongmei ZhaoDepartment of General Surgery, Peking University Third Hospital, Beijing, China. hongmeizhaobysy@163.com.
Huafang GaoNational Human Genetic Resources Center, National Research Institute for Family Planning, Beijing, China. gaohuafang@nrifp.org.cn.

Funding

Guangzhou Kapok Plan No. HMJH-2019-0014
6 · The paper itself

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 patients. Functional analysis validated pro-tumorigenic effect of taurine in BC cell lines. Overall, the integration of FLI microscopy and IMS enables rapid visualization of cellular structures and metabolites in unlabeled tissues, with further analysis identifying taurine as a potential biomarker for margin evaluation.

Identifiers

PMID41402452
PMCPMC12796486

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Registered trials

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