Evidence map›Paper›PMID 22022498›Full record

ArticlePloS one2011

Neonatal lethality in knockout mice expressing the kinase-dead form of the gefitinib target GAK is caused by pulmonary dysfunction.

Hiroe Tabara, Yoko Naito, Akihiko Ito, Asako Katsuma, Minami A Sakurai, Shouichi Ohno, Hiroyuki Shimizu, Norikazu Yabuta, Hiroshi Nojima

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 27 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

9 authors at 2 institutions in 1 country.

Hiroe TabaraDepartment of Molecular Genetics, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Yoko Naito
Akihiko Ito
Asako Katsuma
Minami A Sakurai
Shouichi Ohno
Hiroyuki Shimizu
Norikazu Yabuta
Hiroshi Nojima
Osaka University · JPKindai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gefitinib (Iressa) is an inhibitor of the epidermal growth factor receptor (EGFR) that has shown promising activity in the treatment of patients with non-small cell lung cancer (NSCLC). However, adverse side effects of gefitinib treatment, such as respiratory dysfunction, have limited the therapeutic benefit of this targeting strategy. The present results show that this adverse effect can be attributed to the inhibition of the novel gefitinib target GAK (Cyclin G-associated kinase), which is as potently inhibited by the drug as the tyrosine kinase activity of EGFR. Knockout mice expressing the kinase-dead form of GAK (GAK-kd) died within 30 min after birth primarily due to respiratory dysfunction. Immunohistochemical analysis revealed that surfactant protein A (SP-A) was abundant within alveolar spaces in GAK-kd(+/+) mice but not in GAK-kd(-/-) pups. E-cadherin and phosphorylated EGFR signals were also abnormal, suggesting the presence of flat alveolar cells with thin junctions. These results suggest that inhibition of GAK by gefitinib may cause pulmonary alveolar dysfunction, and the present study may help prevent side effects associated with gefitinib therapy in NSCLC patients.

Indexed as

Amino Acid SequenceAnimalsAnimals, NewbornCadherinsCell MembraneCesarean SectionEmbryo, MammalianErbB ReceptorsFibroblastsGefitinibGene Knockdown TechniquesLungMiceMice, KnockoutMolecular Sequence DataPhenotypeCadherinsErbB ReceptorsGAK protein, mouseGefitinibProtein Serine-Threonine KinasesQuinazolines

Identifiers

PMID22022498
PMCPMC3192135
OpenAlexW2090271522

What OpenQuestion holds

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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.