Evidence map›Paper›PMID 24323192›Full record

ArticleMolecular imaging and biology2014

Optical glucose analogs of aminolevulinic acid for fluorescence-guided tumor resection and photodynamic therapy.

Eduardo H Moriyama, Weiguo Cao, Tracy W Liu, Han Lin Wang, Peter D Kim, Juan Chen, Gang Zheng, Brian C Wilson

Abstract read
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In one paragraph

Article in Molecular imaging and biology, 2014. 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, top 88% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

8 authors at 3 institutions in 2 countries.

Eduardo H MoriyamaOntario Cancer Institute, University Heath Network, Toronto, Ontario, Canada, edmoriyama@gmail.com.
Weiguo Cao
Tracy W Liu
Han Lin Wang
Peter D Kim
Juan Chen
Gang Zheng
Brian C Wilson
Ontario Institute for Cancer Research · CAUniversity of Toronto · CAShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe have developed and tested a novel conjugation of the clinically used prodrug aminolevulinic acid with 2-deoxyglucosamine as a novel probe (ALA-2DG) for fluorescence imaging and photodynamic therapy. PROCEDURES: ALA-2DG was successfully synthesized, and the mechanisms of probe uptake, PpIX synthesis, and photodynamic therapy efficacy were evaluated in vitro and in vivo.

resultsALA-2DG led to PpIX synthesis in tumor cells in vitro and in tumor in vivo. Competitive and inhibitory assays in vitro showed a reduction of this PpIX synthesis that was not observed when cells were incubated with ALA itself, indicating that intracellular uptake of ALA-2DG occurs by GLUT-mediated active transport. Initial photodynamic therapy studies confirmed the efficacy of ALA-2DG as a photodynamic sensitizer.

conclusionsThe in vitro assays suggest that ALA-2DG is taken up by cells via glucose transporters. Initial studies in oral cancer demonstrated the applicability of ALA-2DG for in vivo imaging and its potential as an alternative to ALA-PpIX-based fluorescence diagnostics and photodynamic therapy, providing higher tumor specificity.

Indexed as

PhotochemotherapySurgery, Computer-Assisted4-Chloro-7-nitrobenzofurazanAminolevulinic AcidAnimalsCell Line, TumorFluorescenceGlucosamineGlucoseHumansMaleMesocricetusMice, SCIDPhloretinProtoporphyrinsRats4-Chloro-7-nitrobenzofurazan6-deoxy-N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)aminoglucoseAminolevulinic AcidGlucosamineGlucosePhloretinprotoporphyrin IXProtoporphyrins

Identifiers

PMID24323192
OpenAlexW2040886900

What OpenQuestion holds

Textmetadata
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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.