Evidence map›Paper›PMID 19174819›Full record

ArticleBritish journal of cancer2009

Epidermal growth factor receptor kinase domain mutations are rare in salivary gland carcinomas.

R Dahse, O Driemel, S Schwarz, J Dahse, K Kromeyer-Hauschild, A Berndt, H Kosmehl

Abstract read
In one paragraph

Article in British journal of cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Genomics of mucoepidermoid and adenoid cystic carcinomas.Laryngoscope investigative otolaryngology · 2018
    Review
  9. Article
  10. Molecular Pathology and Biomarkers.Advances in oto-rhino-laryngology · 2016
    Review
  11. Article
  12. Article
  13. Salivary gland carcinomas.Oral and maxillofacial surgery · 2012
    Review
  14. Article
  15. EGFR L861Q mutation is a frequent feature of pulmonary mucoepidermoid carcinoma.Journal of cancer research and clinical oncology · 2012
    Article
  16. Article
  17. 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

7 authors.

R DahseHELIOS Clinics Erfurt, Institute of Pathology, Nordhauser Street 74, Erfurt 99089, Germany. rdahse@erfurt.helios-kliniken.de
O Driemel
S Schwarz
J Dahse
K Kromeyer-Hauschild
A Berndt
H Kosmehl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activating mutations within the epidermal growth factor (EGFR) tyrosine kinase domain identify non-small cell lung cancer patients with improved clinical response to tyrosine kinase inhibitor therapy. Recently, we identified two EGFR mutations in a cohort of 25 salivary gland carcinomas (SGCs) by screening the tumour samples for the both most common hotspot mutations in exons 19 and 21 by allele-specific PCR. Here, we present a comprehensive sequencing analysis of the entire critical EGFR tyrosine kinase domain in 65 SGC of the main histopathological types. We found EGFR mutations in the tyrosine kinase domain to be a rare event in SGCs. No additional mutations other than the two known exon 19 deletions (c.2235_2249del15) in a mucoepidermoid carcinoma and an adenoid cystic carcinoma have been detected. Other putative predictive markers for EGFR-targeted therapy in SGCs might be relevant and should be investigated.

Indexed as

MutationAgedCohort StudiesDNA Mutational AnalysisErbB ReceptorsExonsFemaleHumansMaleMiddle AgedProtein Structure, TertiarySalivary Gland NeoplasmsErbB Receptors

Identifiers

PMID19174819
PMCPMC2653741

What OpenQuestion holds

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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.