Evidence map›Paper›PMID 27926778›Full record

ArticleCancer2017

MET tyrosine kinase receptor expression and amplification as prognostic biomarkers of survival in gastroesophageal adenocarcinoma.

Daniel V T Catenacci, Agnes Ang, Wei-Li Liao, Jing Shen, Emily O'Day, Robert D Loberg, Fabiola Cecchi, Todd Hembrough, Annamaria Ruzzo, Francesco Graziano

Open access · hybridAbstract read
In one paragraph

Article in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

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  13. c-MetBiomedicines · 2023
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  19. Annals of translational medicine · 2021
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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

10 authors at 4 institutions in 2 countries.

Daniel V T CatenacciSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois.
Agnes AngAmgen, Inc, Thousand Oaks, California.
Wei-Li LiaoNantOmics, LLC, Rockville, Maryland.
Jing ShenAmgen, Inc, Thousand Oaks, California.
Emily O'DaySection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois.
Robert D LobergAmgen, Inc, Thousand Oaks, California.
Fabiola CecchiNantOmics, LLC, Rockville, Maryland.
Todd HembroughNantOmics, LLC, Rockville, Maryland.
Annamaria RuzzoDepartment of Biomolecular Science, University of Urbino, Urbino, Italy.
Francesco GrazianoDepartment of Onco-Hematology, Azienda Ospedali Riuniti Marche Nord, Pesaro, Italy.
Amgen (United States) · USUniversity of Chicago · USOspedali Riuniti Marche Nord · ITUniversity of Urbino · IT

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Developing an Oncology Workforce for the 21st Century - Renewal 01K12CA139160 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F., SMITH, SONALI · 2010 to 2024
$10.6M
PANGEA: Personalized Antibodies for GastroEsophageal Adenocarcinoma Pilot TrialK23CA178203 · NCI · UNIVERSITY OF CHICAGO · PI CATENACCI, DANIEL · 2014 to 2016
$507k
NCI NIH HHS K12 CA139160NCI NIH HHS K23 CA178203NCI NIH HHS P30 CA014599
6 · The paper itself

Abstract

backgroundMET gene amplification and Met protein overexpression may be associated with a poor prognosis. The MET/Met status is typically determined with fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC), respectively. Targeted proteomics uses mass spectrometry-based selected reaction monitoring (SRM) to accurately quantitate Met expression. FISH, IHC, and SRM analyses were compared to characterize the prognostic value of MET/Met in gastroesophageal adenocarcinoma (GEC).

methodsSamples from 447 GEC patients were analyzed for MET gene amplification (FISH) and Met protein expression (IHC and SRM). Cox proportional hazards models and Kaplan-Meier estimates were applied to explore relations between Met, overall survival (OS), and clinical/pathological characteristics. Spearman's rank coefficient was used to assess the correlation between parameters.

resultsPatients with MET-amplified tumors had worse OS when: the MET/centromere enumeration probe for chromosome 7 FISH ratio was ≥ 2 (hazard ratio [HR], 3.13; 95% confidence interval [CI], 1.84-5.33), the MET gene copy number was ≥5 (HR, 2.51; 95% CI, 1.45-4.34), or ≥ 10% of the cells had ≥15 copies (HR, 4.28; 95% CI, 2.18-8.39). Similar observations were made with Met protein overexpression by IHC (≥1 + intensity in ≥ 25% of the tumor cell membrane: HR, 1.39; 95% CI, 1.04-1.86) or SRM (≥400 amol/μg: HR, 1.76; 95% CI, 1.06-2.90). A significant correlation was observed between MET FISH/Met IHC, MET FISH/Met SRM, and Met IHC/Met SRM; only MET FISH and Met SRM were independent negative prognostic biomarkers in multivariate analyses.

conclusionsMET amplification and overexpression, assessed by multiple methods, were associated with a worse prognosis in univariate analyses. However, only MET amplification by FISH and Met expression by SRM were independent prognostic biomarkers. Compared with IHC, SRM may provide an added benefit for informed decisions about Met-targeted therapy. Cancer 2017;123:1061-70. © 2016 American Cancer Society.

Indexed as

Gene AmplificationGene ExpressionAdenocarcinomaBiomarkers, TumorEsophageal NeoplasmsHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMass SpectrometryPrognosisProportional Hazards ModelsProto-Oncogene Proteins c-metStomach NeoplasmsBiomarkers, TumorProto-Oncogene Proteins c-metfluorescence in situ hybridizationgastroesophageal adenocarcinomagene amplificationimmunohistochemistryMET tyrosine kinasenegative prognostic biomarkerprotein overexpressionselected reaction monitoring mass spectrometry

Identifiers

PMID27926778
PMCPMC5339041
OpenAlexW2564210860

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.