Evidence map›Paper›PMID 16623663›Full record

ArticleThe Biochemical journal2006

In-frame deletion in the EGF receptor alters kinase inhibition by gefitinib.

Kazuko Sakai, Hideyuki Yokote, Kimiko Murakami-Murofushi, Tomohide Tamura, Nagahiro Saijo, Kazuto Nishio

Open access · bronzeAbstract read
In one paragraph

Article in The Biochemical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 16 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

6 authors at 2 institutions in 1 country.

Kazuko SakaiShien-Lab, National Cancer Center Research Institute, Tsukiji 5-1-1, Chuo-ku, Tokyo 104-0045, Japan.
Hideyuki Yokote
Kimiko Murakami-Murofushi
Tomohide Tamura
Nagahiro Saijo
Kazuto Nishio
National Cancer Centre Japan · JPOchanomizu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existence of an in-frame deletion mutant correlates with the sensitivity of lung cancers to EGFR (epidermal growth factor receptor)-targeted tyrosine kinase inhibitors. We reported previously that the in-frame 15-bp deletional mutation (delE746-A750 type deletion) was constitutively active in cells. Kinetic parameters are important for characterizing an enzyme; however, it remains unclear whether the kinetic parameters of deletion mutant EGFR are similar to those of wild-type EGFR. We analysed autophosphorylation in response to ATP and inhibition of gefitinib for deletion mutant EGFR and wild-type EGFR. Kinetic studies, examining autophosphorylation, were carried out using EGFR fractions extracted from 293-pDelta15 and 293-pEGFR cells transfected with deletion mutant EGFR and wild-type EGFR respectively. We demonstrated the difference in activities between unstimulated wild-type (K(m) for ATP=4.0+/-0.3 microM) and mutant EGFR (K(m) for ATP=2.5+/-0.2 microM). There was no difference in K(m) values between EGF-stimulated wild-type EGFR (K(m) for ATP=1.9+/-0.1 microM) and deletion mutant EGFR (K(m) for ATP=2.2+/-0.2 microM). These results suggest that mutant EGFR is active without ligand stimulation. The K(i) value for gefitinib of the deletion mutant EGFR was much lower than that of wild-type EGFR. These results suggest that the deletion mutant EGFR has a higher affinity for gefitinib than wild-type EGFR.

Indexed as

Antineoplastic AgentsCell LineErbB ReceptorsGefitinibHumansKineticsMutationPhosphorylationQuinazolinesSequence DeletionAntineoplastic AgentsErbB ReceptorsGefitinibQuinazolines

Identifiers

PMID16623663
PMCPMC1533307
OpenAlexW1980506805

What OpenQuestion holds

Textmetadata
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.