Evidence map›Paper›PMID 40173246›Full record

ArticleScience advances2025

Rapid sorting and auxiliary evaluation of malignant breast tumors by accurate imaging analysis of metastasis-related biomarker.

Shan Zuo, Yanhua Li, Yushi Chen, Gangwei Jiang, Zhixuan Zhou, Tian-Bing Ren, Lanlan Chen, Sulai Liu, Shulin Huang, Xiao-Bing Zhang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Shan ZuoState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0009-0006-3882-4437
Yanhua LiState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0009-0000-5160-2739
Yushi ChenMOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.ORCID 0000-0003-2952-7255
Gangwei JiangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0009-0000-7780-7644
Zhixuan ZhouState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0000-0001-8295-5860
Tian-Bing RenState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0000-0002-5774-8306
Lanlan ChenMOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350108, China.ORCID 0000-0003-1016-4802
Sulai LiuDepartment of Hepatobiliary Surgery/Central Laboratory, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China.ORCID 0000-0002-5257-3922
Shulin HuangDepartment of Breast and Thyroid Surgery, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China.ORCID 0000-0003-3998-8776
Xiao-Bing ZhangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0000-0002-4010-0028
Lin YuanState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0000-0002-1015-5319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate differentiation of benign and malignant breast tumors is paramount for establishing schemes of breast cancer treatment and prognosis. Here we report a near-infrared (NIR) fluorescence probe (YF-1) with the overexpressed cathepsin C (CTSC) in metastatic breast tumors as the detecting substrate. This probe allows accurate identification of malignant tumor tissue specimens among tumor tissue specimens with unknown properties in a blind study. Importantly, a series of visible to NIR CTSC-activated fluorescence probes based on the same strategy realize effective identification of malignant tumor tissues, suggesting that CTSC could be the specific identification substrate of malignant breast tumors. Furthermore, a hydrophilic PEG moiety is coupled into YF-1, producing another CTSC-activated NIR probe (YF-2). YF-2 has excellent tumor-targeting capability, enabling the visualization of lung-metastatic breast tumors. The excellent detection accuracy and construction versatility of CTSC probes pave the way for preoperative diagnosis of malignant breast tumors.

Indexed as

Biomarkers, TumorBreast NeoplasmsAnimalsCell Line, TumorFemaleFluorescent DyesHumansLung NeoplasmsNeoplasm MetastasisBiomarkers, TumorFluorescent Dyes

Identifiers

PMID40173246
PMCPMC11963997

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.