Evidence map›Paper›PMID 24114583›Full record

ReviewThe Journal of pathology2014

The evolving genomic classification of lung cancer.

David S Shames, Ignacio I Wistuba

Abstract readReview
In one paragraph

Review in The Journal of pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 97 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Article
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  6. Review
  7. Article
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  11. Genomic Characterization of NSCLC in African Americans: A Step Toward "Race-Aware" Precision Medicine.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2020
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Profiling the Mutational Landscape in Known Driver Genes and Novel Genes in African American Non-Small Cell Lung Cancer Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

David S ShamesGenentech Inc, South San Francisco, California, USA.
Ignacio I Wistuba
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EGFR gene mutations and ALK gene fusions are well-characterized molecular targets in NSCLC. Activating alterations in a variety of potential oncogenic driver genes have also been identified in NSCLC, including ROS1, RET, MET, HER2, and BRAF. Together with EGFR and ALK, these mutations account for ∼20% of NSCLCs. The identification of these oncogenic drivers has led to the design of rationally targeted therapies that have produced superior clinical outcomes in tumours harbouring these mutations. Many patients, however, have de novo or acquired resistance to these therapies. In addition, most NSCLCs are genetically complex tumours harbouring multiple potential activating events. For these patients, disease subsets are likely to be defined by combination strategies involving a number of targeted agents. These targets include FGFR1, PTEN, MET, MEK, PD-1/PD-L1, and NaPi2b. In light of the myriad new biomarkers and targeted agents, multiplex testing strategies will be invaluable in identifying the appropriate patients for each therapy and enabling targeted agents to be channelled to the patients most likely to gain benefit. The challenge now is how best to interpret the results of these genomic tests, in the context of other clinical data, to optimize treatment choices in NSCLC.

Indexed as

GenomicsAnimalsAntineoplastic AgentsBiomarkers, TumorDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenetic TestingHumansImmunotherapyLung NeoplasmsMolecular Targeted TherapyPatient SelectionPhenotypeAntineoplastic AgentsBiomarkers, TumorALKbiomarkersEGFRgenomic classificationlung cancermolecular targetsmonoclonal antibodiesmultiplex testingNSCLCtyrosine-kinase inhibitors

Identifiers

PMID24114583
PMCPMC4285848
OpenAlexW1676117227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.