Evidence map›Paper›PMID 27914264›Full record

ArticleBiomaterials2017

Pattern-based sensing of triple negative breast cancer cells with dual-ligand cofunctionalized gold nanoclusters.

Yu Tao, Mingqiang Li, Debra T Auguste

Abstract read
In one paragraph

Article in Biomaterials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Pattern-recognition-based Sensor Arrays for Cell Characterization: From Materials and Data Analyses to Biomedical Applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020
    Review
  12. Article
  13. Article
  14. Array-based "Chemical Nose" Sensing in Diagnostics and Drug Discovery.Angewandte Chemie (International ed. in English) · 2019
    Review
  15. 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

3 authors.

Yu TaoDepartment of Biomedical Engineering, The City College of New York, 160 Convent Avenue, New York, NY, 10031, United States.
Mingqiang LiDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, United States.
Debra T AugusteDepartment of Biomedical Engineering, The City College of New York, 160 Convent Avenue, New York, NY, 10031, United States. Electronic address: dauguste@ccny.cuny.edu.

Funding

Personalized Therapeutics for Inhibiting Breast Cancer MetastasisDP2CA174495 · NCI · NORTHEASTERN UNIVERSITY · PI AUGUSTE, DEBRA · 2012 to 2017
$2.8M
NCI NIH HHS DP2 CA174495
6 · The paper itself

Abstract

Early detection of breast cancer is a critical component in patient prognosis and establishing effective therapy regimens. Here, we developed an easily accessible yet potentially powerful sensor to detect cancer cell targets by utilizing seven dual-ligand cofunctionalized gold nanoclusters (AuNCs) as both effective cell recognition elements and signal transducers. On the basis of this AuNC multichannel sensor, we have successfully distinguished healthy, cancerous and metastatic human breast cells with excellent reproducibility and high sensitivity. Triple negative breast cancer cells (TNBCs), which exhibit low expression of the estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2, were identified. The high accuracy of the blind breast cell sample tests further validates the practical application of the sensor array. In addition, the versatility of the sensor array is further justified by identifying amongst distinct cell types, different cell concentrations and cell mixtures. Notably, the drug-resistant cancer cells can also be efficiently discriminated. Furthermore, the dual-ligand cofunctionalized AuNCs can efficiently differentiate different cells from the peripheral blood of tumor-free and tumor-bearing mice. Taken together, this fluorescent AuNCs based array provides a powerful cell analysis tool with potential applications in biomedical diagnostics.

Indexed as

Spectrometry, FluorescenceAlgorithmsBiomarkers, TumorCell Line, TumorGoldHumansLigandsMetal NanoparticlesNanoconjugatesPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityTriple Negative Breast NeoplasmsBiomarkers, TumorGoldLigandsNanoconjugatesArray-based sensingGold nanoclustersMulti-drug resistanceTriple negative breast cancer

Identifiers

PMID27914264
PMCPMC5540662

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.