Evidence map›Paper›PMID 29778888›Full record

ArticleNanomedicine : nanotechnology, biology, and medicine2018

Rapid phenotyping of cancer stem cells using multichannel nanosensor arrays.

Yingying Geng, Hira L Goel, Ngoc B Le, Tatsuyuki Yoshii, Rubul Mout, Gulen Y Tonga, John J Amante, Arthur M Mercurio, Vincent M Rotello

Abstract read
In one paragraph

Article in Nanomedicine : nanotechnology, biology, and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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
  5. Article
  6. Review
  7. Simple and robust polymer-based sensor for rapid cancer detection using serum.Chemical communications (Cambridge, England) · 2019
    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

9 authors.

Yingying GengMolecular and Cellular Biology Program, University of Massachusetts, Amherst, MA, U.S.A.
Hira L GoelDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, U.S.A.
Ngoc B LeDepartment of Chemistry, University of Massachusetts, Amherst, MA, U.S.A.
Tatsuyuki YoshiiDepartment of Chemistry, University of Massachusetts, Amherst, MA, U.S.A.
Rubul MoutDepartment of Chemistry, University of Massachusetts, Amherst, MA, U.S.A.
Gulen Y TongaDepartment of Chemistry, University of Massachusetts, Amherst, MA, U.S.A.
John J AmanteDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, U.S.A.
Arthur M MercurioDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, U.S.A.
Vincent M RotelloDepartment of Chemistry, University of Massachusetts, Amherst, MA, U.S.A.. Electronic address: rotello@chem.umass.edu.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
VEGF Signaling in Mammary TumorigenesisR01CA168464 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MERCURIO, ARTHUR M · 2012 to 2021
$3.7M
Recognition and Presentation of Alpha Helices using Nanoparticle ReceptorsR01GM077173 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ROTELLO, VINCENT M. · 2007 to 2018
$3.7M
Rapid Multi-Channel Serum Profiling for Liver Disease using Fluorescent NanosensorsR01DK121351 · NIDDK · UNIVERSITY OF MASSACHUSETTS AMHERST · PI VINCENT M. ROTELLO · 2020 to 2026
$3.1M
Nanosensor-Based Phenotypic Screening for Precision Therapy of Cancer Stem CellsR56CA207932 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI MERCURIO, ARTHUR M, ROTELLO, VINCENT M. · 2017 to 2017
$300k
NCI NIH HHS R01 CA168464NCI NIH HHS R56 CA207932NIDDK NIH HHS R01 DK121351NIGMS NIH HHS R01 GM077173NIGMS NIH HHS T32 GM008515NIH HHS CA168464NIH HHS CA203439NIH HHS CA207932NIH HHS GM077173
6 · The paper itself

Abstract

Cancer stem cells (CSCs) contribute to multidrug resistance, tumor recurrence and metastasis, making them prime therapeutic targets. Their ability to differentiate and lose stem cell properties makes them challenging to study. Currently, there is no simple assay that can quickly capture and trace the dynamic phenotypic changes on the CSC surface. Here, we report rapid discrimination of breast CSCs from non-CSCs using a nanoparticle-fluorescent-protein based sensor. This nanosensor was employed to discriminate CSCs from non-CSCs, as well as CSCs that had differentiated in vitro in two breast cancer models. Importantly, the sensor platform could also discriminate CSCs from the bulk population of cells in patient-derived xenografts of human breast cancer. Taken together, the results obtained demonstrate the feasibility of using the nanosensor to phenotype CSCs and monitor their fate. Furthermore, this approach provides a novel area for therapeutic interventions against these challenging targets.

Indexed as

Biosensing TechniquesCell ProliferationAnimalsApoptosisFemaleHumansMiceMice, Inbred NODMice, SCIDNanoparticlesNeoplastic Stem CellsPhenotypeTriple Negative Breast NeoplasmsTumor Cells, CulturedXenograft Model Antitumor AssaysArray-based sensingCancer stem cellDiscriminationPatient-derived xenograftsPersonalized medicine

Identifiers

PMID29778888
PMCPMC6535092

What OpenQuestion holds

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Read underepoch 390

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.