Evidence map›Paper›PMID 24069396›Full record

ArticlePloS one2013

Theranostic protein targeting ErbB2 for bioluminescence imaging and therapy for cancer.

Xiao-Jian Han, Ling-Fei Sun, Yuki Nishiyama, Bin Feng, Hiroyuki Michiue, Masaharu Seno, Hideki Matsui, Kazuhito Tomizawa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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 4 institutions in 2 countries.

Xiao-Jian HanDepartment of Physiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan ; Japan Society for the Promotion of Science, Tokyo, Japan ; Institute of Translational Medicine, Nanchang University, Nanchang, China.
Ling-Fei Sun
Yuki Nishiyama
Bin Feng
Hiroyuki Michiue
Masaharu Seno
Hideki Matsui
Kazuhito Tomizawa
Okayama University · JPDalian Medical University · CNKumamoto University · JPNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combination of molecular-targeted cancer imaging and therapy is an emerging strategy to improve cancer diagnosis and minimize the side effects of conventional treatments. Here, we generated a recombinant protein, EC1-GLuc-p53C, by fusing EC1 peptide, an artificial ligand of ErbB2, with Gaussia luciferase (GLuc) and a p53-activating peptide, p53C. EC1-GLuc-p53C was expressed and purified from E. coli BL21. In vitro experiments showed that EC1-GLuc-p53c was stable in luminescent activity and selectively targeted ErbB2-overexpressing BT474 cells for bioluminescence imaging. Moreover, the internalized EC1-GLuc-p53C in BT474 cells exerted its function to reactivate p53 and significantly inhibited cellular proliferation. In tumor-bearing mice, the ErbB2-targeted bioluminescence imaging and therapeutic effect of EC1-GLuc-p53C were also observed specifically in BT474 tumors but not in MCF7 tumors, which does not overexpress ErbB2. Thus, the present study demonstrates EC1-GLuc-p53C to be an effective theranostic reagent targeting ErbB2 for bioluminescence imaging and cancer therapy.

Indexed as

Luminescent MeasurementsMolecular ImagingAnimalsAntineoplastic AgentsCell Line, TumorCell ProliferationDisease Models, AnimalErb-b2 Receptor Tyrosine KinasesFemaleGene ExpressionHeterograftsHumansLigandsMiceMice, NudeMolecular Targeted TherapyAntineoplastic AgentsErb-b2 Receptor Tyrosine KinasesLigandsRecombinant Fusion Proteins

Identifiers

PMID24069396
PMCPMC3775930
OpenAlexW2027194932

What OpenQuestion holds

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LicenceCC BY
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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.