Evidence map›Paper›PMID 39240334›Full record

ArticleMikrochimica acta2024

Highly selective detection of breast cancer cells mediated by multi-aptamer and dye-loaded mesoporous silica nanoparticles.

Panlin Wang, Bingbing Wang, Yating Chen, Nan Lin, Zixin Zheng, Haoting Chen, Wenxiang Wang, Ye He

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. 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. 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

8 authors.

Panlin Wang *Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Bingbing Wang *Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Yating ChenDepartment of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Nan LinDepartment of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Zixin ZhengDepartment of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Haoting ChenDepartment of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Wenxiang WangDepartment of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. wangwenxiang@fjmu.edu.cn.ORCID http://orcid.org/0000-0002-4679-3216
Ye HeDepartment of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. heye@fjmu.edu.cn.

Funding

the National Natural Science Foundation of China 22304025the Natural Science Foundation of Fujian Province, China 2021J01727the Startup Fund for scientific research, Fujian Medical University 2023QH2006
6 · The paper itself

Abstract

Multi-aptamer recognition of breast cancer cells (MCF-7) is utilized to achieve high specificity. The method comprises two parts, aptamer-functionalized mesoporous silica nanoparticles (MSNs) loaded with dissimilar dyes (thymolphthalein or curcumin) as signal transducers and aptamer-modified magnetic beads (MBs) as capture agents, which worked together to detect MCF-7 cells sensitively and accurately. The results indicated that the aptasensor has a linear detection range of 100 to 4000 cells and a detection threshold of 10 cells/mL. The method had been successfully employed to detect breast cancer cells in real blood samples to distinguish between breast cancer patients and healthy individuals. In conclusion, the development of the multi-aptamer-based colorimetric sensor offered a novel method for the highly selective detection of MCF-7 cells, contributing to the accurate identification of breast cancer.

Indexed as

Aptamers, NucleotideBreast NeoplasmsNanoparticlesSilicon DioxideBiosensing TechniquesColorimetryColoring AgentsCurcuminFemaleHumansLimit of DetectionMCF-7 CellsPorosityAptamers, NucleotideColoring AgentsCurcuminSilicon DioxideBreast cancer cellsDye signal transducerMesoporous silica nanoparticlesMulti-aptamer

Identifiers

PMID39240334

What OpenQuestion holds

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Registered trials

None linked

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.