Evidence map›Paper›PMID 29642606›Full record

ArticleBiosensors2018

Metabolism-Driven High-Throughput Cancer Identification with GLUT5-Specific Molecular Probes.

Srinivas Kannan, Vagarshak V Begoyan, Joseph R Fedie, Shuai Xia, Łukasz J Weseliński, Marina Tanasova, Smitha Rao

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. GLUT5-overexpression-related tumorigenic implications.Molecular medicine (Cambridge, Mass.) · 2024
    Review
  3. GLUT5: structure, functions, diseases and potential applications.Acta biochimica et biophysica Sinica · 2023
    Review
  4. Article
  5. Transporter-Mediated Drug Delivery.Molecules (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

7 authors at 1 institution in 1 country.

Srinivas KannanDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. skannan1@mtu.edu.
Vagarshak V BegoyanDepartment of Chemistry, Michigan Technological University, Houghton, MI 49931, USA. vbegoyan@mtu.edu.ORCID 0000-0001-6374-497X
Joseph R FedieDepartment of Chemistry, Michigan Technological University, Houghton, MI 49931, USA. jrfedie@mtu.edu.
Shuai XiaDepartment of Chemistry, Michigan Technological University, Houghton, MI 49931, USA. shuaix@mtu.edu.
Łukasz J WeselińskiDepartment of Chemistry, Michigan Technological University, Houghton, MI 49931, USA.ORCID 0000-0003-4516-2727
Marina TanasovaDepartment of Chemistry, Michigan Technological University, Houghton, MI 49931, USA. mtanasov@mtu.edu.
Smitha RaoDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA. smithar@mtu.edu.ORCID 0000-0001-5556-7707
Michigan Technological University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care applications rely on biomedical sensors to enable rapid detection with high sensitivity and selectivity. Despite advances in sensor development, there are challenges in cancer diagnostics. Detection of biomarkers, cell receptors, circulating tumor cells, gene identification, and fluorescent tagging are time-consuming due to the sample preparation and response time involved. Here, we present a novel approach to target the enhanced metabolism in breast cancers for rapid detection using fluorescent imaging. Fluorescent analogs of fructose target the fructose-specific transporter GLUT5 in breast cancers and have limited to no response from normal cells. These analogs demonstrate a marked difference in adenocarcinoma and premalignant cells leading to a novel detection approach. The vastly different uptake kinetics of the analogs yields two unique signatures for each cell type. We used normal breast cells MCF10A, adenocarcinoma cells MCF7, and premalignant cells MCF10AneoT, with hepatocellular carcinoma cells HepG2 as the negative control. Our data indicated that MCF10AneoT and MCF7 cells had an observable difference in response to only one of the analogs. The response, observed as fluorescence intensity, leads to a two-point assessment of the cells in any sample. Since the treatment time is 10 min, there is potential for use in rapid on-site high-throughput diagnostics.

Indexed as

Biological TransportBreast NeoplasmsFemaleGlucose Transporter Type 5HumansMolecular ProbesGlucose Transporter Type 5Molecular ProbesSLC2A5 protein, humanbreast cancerfructose mimicsglucose transportersGLUT5

Identifiers

PMID29642606
PMCPMC6022918
OpenAlexW2797743676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.