Evidence map›Paper›PMID 41244886›Full record

ArticleInternational journal of nanomedicine2025

LbL-Antibody Embedded Gold Mesh: An Effective Method for Early Detection of Circulating Tumor Cells.

Rong Qin, Zhihao Ma, Chenglong Song, Chenghong Huang, Zhiqiang Zhu, Jing Yan, Jie Wang

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rong QinDepartment of Medical Oncology, Jiangsu University Affiliated People's Hospital, Zhenjiang, People's Republic of China.
Zhihao MaInstitute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Chenglong SongInstitute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Chenghong HuangChongqing university of Science and Technology, Chongqing, 401331, People's Republic of China.
Zhiqiang ZhuSuzhou Chien-Shiung Institute of Technology, Suzhou, 215123, People's Republic of China.ORCID 0000-0002-0044-3149
Jing YanHolosensor Medical Ltd., Suzhou, 215000, People's Republic of China.
Jie WangInstitute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The importance of early cancer diagnosis has been recognized for decades, driving the demand for technological advancements and novel strategies for cancer detection. The conventional detection of circulating tumor cells (CTCs) often relies on size-based separation to distinguish CTCs from other blood cells. However, this method frequently leads to significant cell congestion and poorly recognizable fluorescent images, which inevitably reduces the sensitivity and specificity of CTC detection. Most CTC current separation devices with a cell filtration process have a cell capture efficiency ranging from 50% to 80% in clinical application. Methods: We constructed a flexible antibody network on the surface of gold-plated iron meshes with a pore size of 20 μm using the layer-by-layer (LbL) assembly technique. These meshes were then used to enrich MCF7 cells and CTCs in 10 clinical blood samples from breast cancer patients. Results and the Conclusion: This antibody network reduced the effective pore size, thereby improving both capture efficiency and specificity for CTCs. In a cell line separation study, meshes with a trilayered antibody network demonstrated a capture efficiency of 65% compared to 26% for those with a single layer. In tests using clinical samples, the trilayered antibody network achieved 100% accuracy, whereas the single-layer configuration only reached 40%. The multilayered antibody network shows strong potential for enhancing widely used immunosensors.

Indexed as

AntibodiesBreast NeoplasmsCell SeparationGoldNeoplastic Cells, CirculatingAntibodies, ImmobilizedEarly Detection of CancerFemaleHumansMCF-7 CellsAntibodiesAntibodies, ImmobilizedGoldcirculating tumor cellsCTCsimmunosensorlayer-by-layer assemblyLbL

Identifiers

PMID41244886
PMCPMC12617293

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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.