Evidence map›Paper›PMID 19430813›Full record

SynthesisJournal of cancer research and clinical oncology2009

Epidermal growth factor receptor genomic variation in NSCLC patients receiving tyrosine kinase inhibitor therapy: a systematic review and meta-analysis.

Josh John Carlson, Louis P Garrison, Scott D Ramsey, David L Veenstra

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of cancer research and clinical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. A phase II study of gefitinib for aggressive cutaneous squamous cell carcinoma of the head and neck.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012
    Trial
  3. Melittin suppresses growth and induces apoptosis of non-small-cell lung cancer cells via down-regulation of TGF-β-mediated ERK signal pathway.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020
    Article
  4. Cost-effectiveness analysis of EGFR mutation testing in patients with non-small cell lung cancer (NSCLC) with gefitinib or carboplatin-paclitaxel.The European journal of health economics : HEPAC : health economics in prevention and care · 2016
    Article
  5. Review
  6. Surveillance of resected non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2012
    Review
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

4 authors at 1 institution in 2 countries.

Josh John CarlsonPharmaceutical Outcomes Research and Policy Program, School of Pharmacy, University of Washington, Seattle, WA 98195, USA. carlsojj@u.washington.edu
Louis P Garrison
Scott D Ramsey
David L Veenstra
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this analysis was to examine the relationship between genomic variation and health outcomes in studies performed in non-small cell lung cancer (NSCLC) patients treated with single agent epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) using a systematic review with statistical pooling of data.

methodsWe performed a systematic search of the literature using the MEDLINE, BIOSIS, and EMABASE databases from July 1997 to July 2007. Eligible studies were evaluated for quality and clinical, methodological, and statistical heterogeneity. Abstracted data judged to be sufficiently homogenous were pooled using a fixed effect model.

resultsWe found a statistically significant higher probability of tumor response (according to the RECIST criteria) for patients with EGFR mutations versus wild type (5.92, 95% CI 4.91-7.13) and patients with high- versus low EGFR protein expression (2.71, 95% CI 1.72-4.29). EGFR mutation and high EGFR protein expression were associated with significantly improved survival over the wild type and low protein expression groups (0.36, 95% CI 0.29-0.46 and 0.59, 95% CI 0.44-0.81), respectively. Last, there was a significant difference in EGFR-TKI treatment effect in the high EGFR gene copy number and high EGFR protein expression groups (0.72, 95% CI 0.57-0.92 and 0.53, 95% CI 0.35-0.80).

conclusionIn conclusion, EGFR mutation and protein expression status may provide useful clinical information in terms of the likelihood of tumor response and disease prognosis. EGFR gene copy number and to a lesser extent, EGFR protein expression status, appear to be promising biomarkers for predicting a survival benefit with EGFR-TKI therapy in second line NSCLC, but further evidence is needed.

Indexed as

MutationCarcinoma, Non-Small-Cell LungData Interpretation, StatisticalErbB ReceptorsGene DosageHumansLung NeoplasmsProtein Kinase InhibitorsPublication BiasRandomized Controlled Trials as TopicErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID19430813
PMCPMC12160266
OpenAlexW2035813468

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.