Evidence map›Paper›PMID 19102716›Full record

ReviewPharmacogenomics2009

EGFR-targeted therapies in lung cancer: predictors of response and toxicity.

Rebecca Suk Heist, David Christiani

Open access · greenAbstract readReview
In one paragraph

Review in Pharmacogenomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Circulating proteomic landscape of lung function.The European respiratory journal · 2026
    Article
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  12. Review
  13. Review
  14. Observational
  15. Article
  16. Review
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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

2 authors at 1 institution in 1 country.

Rebecca Suk HeistMassachusetts General Hospital/Harvard Medical School, Yawkey 7B, 55 Fruit Street, Boston, MA 02114, USA. rheist@partners.org
David Christiani
Harvard University · US

Funding

Dana Farber/Harvard Cancer Consortium Career Development Program in Clinical OncologyK12CA087723 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI David Tsai Ting · 2002 to 2026
$17.9M
Molecular and Genetic Analysis of Lung Cancer SurvivalR01CA092824 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2002 to 2013
$5.9M
GENETIC SUSCEPTIBILITY TO LUNG CANCERR01CA074386 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 1997 to 2008
$4.8M
NCI NIH HHS K12 CA087723NCI NIH HHS R01 CA074386NCI NIH HHS R01 CA092824NCI NIH HHS R01 CA92824
6 · The paper itself

Abstract

The EGFR pathway has emerged as a key target in non-small-cell lung cancer. EGF receptor (EGFR) inhibition in non-small-cell lung cancer is achieved via small molecular tyrosine kinase inhibitors, such as erlotinib or gefitinib, or monoclonal antibodies such as cetuximab. A growing body of evidence is identifying potential molecular predictors of response and toxicity. This includes tumor-related molecular markers, such as EGFR mutation and copy number, as well as germline markers such as polymorphisms in EGFR or EGFR pathway-related genes. This review focuses on the current state of knowledge of predictors of response and toxicity to EGFR inhibitors in lung cancer.

Indexed as

Antibodies, MonoclonalAntineoplastic AgentsBiomarkers, TumorCarcinoma, Non-Small-Cell LungClinical Trials as TopicDisease-Free SurvivalErbB ReceptorsHumansLung NeoplasmsPolymorphism, GeneticProtein-Tyrosine KinasesAntibodies, MonoclonalAntineoplastic AgentsBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein-Tyrosine Kinases

Identifiers

PMID19102716
PMCPMC2669783
OpenAlexW2054246905

What OpenQuestion holds

Textmetadata
LicenceTDM
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.