Evidence map›Paper›PMID 29158193›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2018

EGFR Gene Copy Number by FISH May Predict Outcome of Necitumumab in Squamous Lung Carcinomas: Analysis from the SQUIRE Study.

Carlo Genova, Mark A Socinski, Rebecca R Hozak, Gu Mi, Raffael Kurek, Javad Shahidi, Luis Paz-Ares, Nick Thatcher, Christopher J Rivard, Marileila Varella-Garcia and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2018. 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
1.4field-weighted citation impact, top 17% 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, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
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

11 authors at 7 institutions in 5 countries.

Carlo GenovaLung Cancer Unit, San Martino Hospital, Genoa, Italy; Department of Internal Medicine, School of Medicine, University of Genoa, Genoa, Italy.
Mark A SocinskiFlorida Hospital Cancer Institute, Orlando, Florida.
Rebecca R HozakEli Lilly and Company, Indianapolis, Indiana.
Gu MiEli Lilly and Company, Indianapolis, Indiana.
Raffael KurekLilly Deutschland GMBH, Bad Homburg vor der Höhe, Germany.
Javad ShahidiEli Lilly and Company, Bridgewater, New Jersey.
Luis Paz-AresUniversity Hospital Virgen del Rocio, Seville, Spain.
Nick ThatcherThe Christie Hospital, Manchester, United Kingdom.
Christopher J RivardDivision of Medical Oncology, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
Marileila Varella-GarciaDivision of Medical Oncology, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
Fred R HirschDivision of Medical Oncology, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado. Electronic address: Fred.Hirsch@ucdenver.edu.
Eli Lilly (United States) · USUniversity of Colorado Anschutz Medical Campus · USEli Lilly (Germany) · DEFlorida Hospital Cancer Institute · USHospital Universitario Virgen del Rocío · ESMartin University · USThe Christie Hospital · GB

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
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

introductionNecitumumab is a monoclonal antibody targeting EGFR. In the SQUIRE trial, the addition of necitumumab to chemotherapy for squamous cell lung cancer significantly improved overall survival (OS) (hazard ratio [HR] = 0.84); in a post hoc analysis, EGFR copy number gain determined by fluorescence in situ hybridization (FISH) showed a trend toward improved OS (HR = 0.70) and progression-free survival (PFS) (HR = 0.71) with the addition of necitumumab. We present the analysis of granular EGFR FISH data from SQUIRE to examine the potential predictive role of high polysomy and gene amplification, as both were included in the FISH-positive category.

methodsAvailable specimens from SQUIRE underwent FISH analysis in a central laboratory, and each sample was evaluated by using the Colorado EGFR scoring criteria. The correlation of granular FISH parameters with clinical outcomes was assessed.

resultsSamples were available for 557 of 1093 patients; 208 patients (37.3%) were FISH-positive, including 167 (30.0%) with high polysomy and 41 (7.4%) with gene amplification. In patients with high polysomy, the addition of necitumumab resulted in a statistically significant increase in PFS (6.08 versus 5.13 months [p = 0.044]) and nonstatistically significant increase in OS (12.6 versus 9.5 months [p = 0.133]); among patients with gene amplification, the addition of necitumumab did not significantly improve PFS (7.4 versus 5.6 months; [p = 0.334]) but did improve OS (14.8 versus 7.6 months; [p = 0.033]).

conclusionsEGFR copy number gain by FISH might have a role as a predictive biomarker for necitumumab in squamous cell lung cancer. In our opinion, these data encourage further studies to prospectively evaluate this potential biomarker.

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalCarcinoma, Squamous CellFemaleGene DosageHumansIn Situ Hybridization, FluorescenceLung NeoplasmsMaleTreatment OutcomeAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalnecitumumabbiomarkerEGFRFISHnecitumumabNon–small cell lung cancer

Identifiers

PMID29158193
PMCPMC6233716
OpenAlexW2768278172

What OpenQuestion holds

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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.