Evidence map›Paper›PMID 27262212›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2016

Identifying the Appropriate FISH Criteria for Defining MET Copy Number-Driven Lung Adenocarcinoma through Oncogene Overlap Analysis.

Sinéad A Noonan, Lynne Berry, Xian Lu, Dexiang Gao, Anna E Barón, Patrick Chesnut, Jamie Sheren, Dara L Aisner, Dan Merrick, Robert C Doebele and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed
12.3field-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

112 citing papers in PubMed, 169 citations in OpenAlex.

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52 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Sinéad A NoonanUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Lynne BerryVanderbilt-Ingram Cancer Center, Nashville, Tennessee.
Xian LuUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Dexiang GaoUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Anna E BarónUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Patrick ChesnutUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Jamie SherenUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Dara L AisnerUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Dan MerrickUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Robert C DoebeleUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
Marileila Varella-GarciaUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado.
D Ross CamidgeUniversity of Colorado School of Medicine, Division of Medical Oncology, Aurora, Colorado. Electronic address: ross.camidge@ucdenver.edu.
University of Colorado Denver · USVanderbilt University · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Tissue Bank and Biomarkers CoreP50CA058187 · NCI · UNIVERSITY OF COLORADO DENVER · PI MILLER, YORK E · 1992 to 2018
$43.8M
Lung Cancer Mutation AnalysisRC2CA148394 · NCI · UNIVERSITY OF COLORADO DENVER · PI BUNN, PAUL A. · 2009 to 2010
$4.9M
NCI NIH HHS P30 CA046934NCI NIH HHS P50 CA058187NCI NIH HHS RC2 CA148394
6 · The paper itself

Abstract

introductionMesenchymal-epithelial transition factor gene (MET) gene copy number gain may be a predictive biomarker for mesenchymal-epithelial transition factor (MET) inhibition in lung cancer, but the most appropriate method and criteria for defining MET positivity are uncertain.

methodsMET copy number was assessed by fluorescence in situ hybridization in lung adenocarcinoma. Positivity criteria included mean MET per cell values greater than 5 (low [≥5 to <6], intermediate [≥6 to <7], and high [≥7]) and mean MET-to-chromosome 7 centromere ratios (MET/CEP7) of at least 1.8 (low [≥1.8 to ≤2.2], intermediate [>2.2 to <5], and high [≥5]). Associated clinical and molecular characteristics were captured.

resultsOf 686 cases, 99 (14%) had a mean MET per cell value of 5 or greater, 52 of 1164 (4.5%) had a MET/CEP7 ratio of 1.8 or higher. Other oncogenic drivers (in EGFR, KRAS, anaplastic lymphoma receptor tyrosine kinase gene [ALK], erb-b2 receptor tyrosine kinase 2 gene [ERBB2], BRAF, NRAS, ROS1, or ret proto-oncogene [RET]) were detectable in 56% of the group with a mean MET per cell value of 5 or higher and 47% of the group with a MET/CEP7 ratio of 1.8 or higher, suggesting that many MET-positive cases are not truly MET addicted. The rates of concomitant drivers in the groups of patients in the low, indeterminate, and high categories of mean MET per cell were 32 of 52 (62%), 12 of 19 (63%), and 11 of 27 (41%) (p = 0.2), and the rates of concomitant drivers in the low, intermediate, and high categories of MET/CEP7 ratios were 15 of 29 (52%), 9 of 18 (50%), and 0 of 4 (0%), respectively (p = 0.04). A MET/CEP7 ratio of 1.8 or higher in the absence of other oncogenes was associated with a higher rate of adrenal metastases (p = 0.03) but not with never-smoking status.

conclusionsA fluorescence in situ hybridization MET/CEP7 ratio of 5 or higher defined a "MET-positive" group with no oncogenic overlap. As this method and criteria are also associated with the highest response rate to MET inhibition, it represents the clearest definition of a MET copy number gain-addicted state. However, a MET-associated phenotype may also exist across cases with a MET/CEP7 of 1.8 or higher when no other oncogene overlap occurs.

Indexed as

Gene DosageOncogenesAdenocarcinomaAdenocarcinoma of LungCentrosomeFemaleHumansIn Situ Hybridization, FluorescenceLung NeoplasmsMaleMiddle AgedProto-Oncogene MasProto-Oncogene Proteins c-metRetrospective StudiesMAS1 protein, humanMET protein, humanProto-Oncogene MasProto-Oncogene Proteins c-metAdrenal metastasesLung adenocarcinomaMET copy number gainOncogene overlap

Identifiers

PMID27262212
PMCPMC5404374
OpenAlexW2409552123

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.