Evidence map›Paper›PMID 30214017›Full record

ArticleScientific reports2018

Noninvasive assessment of characteristics of novel anti-HER2 antibodies by molecular imaging in a human gastric cancer xenograft-bearing mouse model.

Wei-Ying Kuo, Jia-Jia Lin, Hung-Ju Hsu, Hong-Sen Chen, An-Suei Yang, Chun-Yi Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Article
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  7. Article
  8. Antibody-Targeted Imaging of Gastric Cancer.Molecules (Basel, Switzerland) · 2020
    Review
  9. Article
  10. Article
  11. 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

6 authors at 2 institutions in 1 country.

Wei-Ying KuoGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Jia-Jia LinDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan.
Hung-Ju HsuGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Hong-Sen ChenGenomics Research Center, Academia Sinica, Taipei, Taiwan.
An-Suei YangGenomics Research Center, Academia Sinica, Taipei, Taiwan. yangas@gate.sinica.edu.tw.
Chun-Yi WuDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan. cywu@mail.cmu.edu.tw.
Genomics Research Center, Academia Sinica · TWChina Medical University · TW

Funding

Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) MOST 104-2314-B-039-030-MY3
6 · The paper itself

Abstract

Human epidermal growth factor receptor 2 (HER2) overexpression occurs in various types of cancers. Regarding the anti-HER2 targeted therapies showed superior treatment outcomes in several (pre)clinical studies, we used multimodality image to rapidly select novel HER2-targeting antibodies for further therapeutics development. The four anti-HER2 antibodies (H32 IgG, 75 IgG, 61 IgG, and trastuzumab) labeled with either In-111 or a DyLight680 fluorescent dye were applied to perform cellular uptake, endocytosis, optical/microSPECT/CT imaging and biodistribution studies. In vitro and in vivo relative effectiveness of these antibodies were also compared in an N87 gastric cancer xenograft model. The internalized radioactivity of [

Indexed as

AnimalsAntibodies, Anti-IdiotypicAntibodies, Monoclonal, HumanizedCell Line, TumorErb-b2 Receptor Tyrosine KinasesHumansMiceMolecular ImagingStomach NeoplasmsXenograft Model Antitumor AssaysAntibodies, Anti-IdiotypicAntibodies, Monoclonal, HumanizedERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID30214017
PMCPMC6137128
OpenAlexW2889718222

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.