Evidence map›Paper›PMID 41444450›Full record

ArticleCommunications medicine2025

In-situ dual-lighting system for HER2 nucleic acid and protein co-localization through simultaneous visual signal amplification in single pathological sections.

Tiantian Wang, Zhiqing Chen, Xuan Fu, Lin Chen, Yao Huang, Ang Liu, Qingling Zhang, Bei Hu, Weiyang Liang, Qunyue Wu and 3 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Applications and development of in situ nucleic acid visualization techniques.Frontiers in bioengineering and biotechnology · 2026
    Review
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.

Tiantian WangMOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Zhiqing ChenMOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Xuan FuDepartment of Emergency, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Lin ChenMOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Yao HuangNMPA Key Laboratory for Quality Control of Blood Products, Guangdong Institute for Drug Control, Guangzhou, China.
Ang LiuNMPA Key Laboratory for Quality Control of Blood Products, Guangdong Institute for Drug Control, Guangzhou, China.
Qingling ZhangDepartment of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID http://orcid.org/0000-0002-5287-264X
Bei HuDepartment of Emergency, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Weiyang LiangNMPA Key Laboratory for Quality Control of Blood Products, Guangdong Institute for Drug Control, Guangzhou, China.
Qunyue WuNMPA Key Laboratory for Quality Control of Blood Products, Guangdong Institute for Drug Control, Guangzhou, China.
Shan LiMOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Xin LiDepartment of Emergency, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China. xlidoct@qq.com.
Lei ZhangMOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China. lzhangce@scut.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pathological state of human epidermal growth factor receptor-2 (HER2) determines the treatment strategies. Immunohistochemistry (IHC) and in situ hybridization (ISH) are the only two recognized diagnostic methods for HER2-positive (HER2 + ). IHC, although widely used, has limited reliability and often requires further confirmation by ISH for IHC ≤ 2 + . Furthermore, studies have demonstrated that HER2-low patients may still benefit from HER2-targeted therapy, highlighting the need for accurate and sensitive detection methods.

methodsIn this study, we designed the molecular beacon (MB) for HER2 amplification detection. Subsequently, the in-situ dual-lighting system (ISDLS) was established by combining MB-based loop-mediated isothermal amplification (LAMP) and tyramide signal amplification (TSA)-based IHC for HER2 in-situ nucleic acid and protein detection in a single sample, and was verified in both cell line slides and human tumor sections. To better elucidate the significance of our study, we compared the test results with clinical reports.

resultsHere, we show that, in a single sample, satisfactory nucleic acid and protein signals are obtained, especially in human tumor sections within one day. The detection rate for clinical IHC ≥ 1+ and fluorescence in situ hybridization amplification (FISH + ) sections reaches 100%, and the detection rate of clinical FISH- sections reaches 77.8%.

conclusionsISDLS enables the spatial in-situ distribution of amplified nucleic acid and protein signals in one section, providing a basis for multidimensional analysis of diseases. ISDLS is also expected to improve the speed, sensitivity, and accuracy of detection compared to other methods.

Identifiers

PMID41444450
PMCPMC12852809

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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.