Evidence map›Paper›PMID 31200835›Full record

ArticleLung cancer (Amsterdam, Netherlands)2019

Impact of MET inhibitors on survival among patients with non-small cell lung cancer harboring MET exon 14 mutations: a retrospective analysis.

Mark M Awad, Giulia C Leonardi, Sasha Kravets, Suzanne E Dahlberg, Alexander Drilon, Sinead A Noonan, D Ross Camidge, Sai-Hong I Ou, Daniel B Costa, Shirish M Gadgeel and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 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

73 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  20. An Observatory for theCancers · 2023
    Review

13 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

19 authors.

Mark M AwadLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA. Electronic address: mark_awad@dfci.harvard.edu.
Giulia C LeonardiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
Sasha KravetsLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
Suzanne E DahlbergLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
Alexander DrilonMemorial Sloan-Kettering Cancer Center, New York, USA.
Sinead A NoonanUniversity of Colorado, Aurora, USA.
D Ross CamidgeUniversity of Colorado, Aurora, USA.
Sai-Hong I OuUniversity of California Irvine School of Medicine, Chao Family Comprehensive Cancer Center, Orange, USA.
Daniel B CostaBeth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA.
Shirish M GadgeelKarmanos Cancer Institute, Detroit, USA.
Conor E SteuerWinship Cancer Institute, Atlanta, USA.
Patrick M FordeJohns Hopkins Kimmel Cancer Center and Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, USA.
Viola W ZhuUniversity of California Irvine School of Medicine, Chao Family Comprehensive Cancer Center, Orange, USA; University of California San Francisco, Fresno, USA.
Yoko FukudaFrisbie Memorial Hospital, Rochester, USA.
Jeffrey W ClarkMassachusetts General Hospital Cancer Center, Boston, USA.
Pasi A JänneLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
Tony MokChinese University of Hong Kong, Hong Kong, China.
Lynette M ShollBrigham and Women's Hospital, Boston, USA.
Rebecca S HeistMassachusetts General Hospital Cancer Center, Boston, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectivesAlthough dramatic responses to MET inhibitors have been reported in patients with MET exon 14 (METex14) mutant non-small cell lung cancer (NSCLC), the impact of these treatments on overall survival in this population is unknown.

methodsWe conducted a multicenter retrospective analysis of patients with METex14 NSCLC to determine if treatment with MET inhibitors impacts median overall survival (mOS). Event-time distributions were estimated using the Kaplan-Meier method and compared with the log-rank test. Multivariable Cox models were fitted to estimate hazard ratios.

resultsWe identified 148 patients with METex14 NSCLC; the median age was 72; 57% were women and 39% were never smokers. Of the 34 metastatic patients who never received a MET inhibitor, the mOS was 8.1 months; those in this group with concurrent MET amplification had a trend toward worse survival compared to cancers without MET amplification (5.2 months vs 10.5 months, P =  0.06). Of the 27 metastatic patients who received at least one MET inhibitor the mOS was 24.6 months. A model adjusting for receipt of a MET inhibitor as first- or second-line therapy as a time-dependent covariate demonstrated that treatment with a MET inhibitor was associated with a significant prolongation in survival (HR 0.11, 95% CI 0.01-0.92, P =  0.04) compared to patients who did not receive any MET inhibitor. Among 22 patients treated with crizotinib, the median progression-free survival was 7.4 months. DISCUSSION: For patients with METex14 NSCLC, treatment with a MET inhibitor is associated with an improvement in overall survival.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCrizotinibExonsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMiddle AgedMutationProtein Kinase InhibitorsProto-Oncogene Proteins c-metAntineoplastic AgentsCrizotinibMET protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins c-metMET exon 14NSCLCOverall survivalTKI

Identifiers

PMID31200835
PMCPMC8135929

What OpenQuestion holds

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Registered trials

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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.