Evidence map›Paper›PMID 31876606›Full record

ArticleApplied immunohistochemistry & molecular morphology : AIMM2020

Round Robin Evaluation of MET Protein Expression in Lung Adenocarcinomas Improves Interobserver Concordance.

Theresa A Boyle, Farah K Khalil, Mari Mino-Kenudson, Gabriel L Sica, Andre L Moreira, Lynette M Sholl, Mirna Z Knight, Liping Zhang, James Saller, Marileila Varella-Garcia and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Applied immunohistochemistry & molecular morphology : AIMM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 38% 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, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  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

23 authors at 15 institutions in 2 countries.

Theresa A BoyleDepartments of Pathology.
Farah K KhalilDepartments of Pathology.
Mari Mino-KenudsonDepartment of Pathology, Massachusetts General Hospital.
Gabriel L SicaDepartment of Pathology, Winship Cancer Institute of Emory University, Atlanta, GA.
Andre L MoreiraDepartment of Pathology, NYU Langone Medical Center, NYU School of Medicine.
Lynette M ShollDepartment of Pathology, Brigham and Women's Hospital.
Mirna Z KnightDepartment of Medicine, Division of Medical Oncology.
Liping ZhangDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Tongji University Institute, Shanghai, People's Republic of China.
James SallerDepartments of Pathology.
Marileila Varella-GarciaDepartment of Medicine, Division of Medical Oncology.
Lynne D BerryDepartment of Biostatistics, Vanderbilt-Ingram Cancer Center, Nashville, TN.
Heidi ChenDepartment of Biostatistics, Vanderbilt-Ingram Cancer Center, Nashville, TN.
Kim E EllisonDepartment of Medicine, Division of Medical Oncology.
Christopher J RivardDepartment of Medicine, Division of Medical Oncology.
Kelly KuglerLung Cancer Mutation Consortium.
Ignacio I WistubaDepartment of Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX.
Junya FujimotoDepartment of Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX.
David J KwiatkowskiDepartment of Medicine, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston, MA.
Paul A BunnDivision of Medical Oncology, University of Colorado Cancer Center Anschutz Medical Campus, Aurora.
Mark G KrisDepartment of Thoracic Oncology, Memorial Sloan Kettering Cancer Center, New York, NY.
Eric B HauraThoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute.
Fred R HirschDepartment of Medicine, Division of Medical Oncology.
Lung Cancer Mutation Consortium (LCMC) Pathologist Panel Group
Moffitt Cancer Center · USThe University of Texas MD Anderson Cancer Center · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · USEmory University · USMassachusetts General Hospital · USMemorial Sloan Kettering Cancer Center · USMichigan Cancer Research Consortium · USNYU Langone Health · USShanghai Pulmonary Hospital · CNUniversity of Colorado Cancer Center · USUniversity of South Florida · USUniversity Pathologists · USVanderbilt-Ingram Cancer CenterVanderbilt University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
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 NEMENOFF, RAPHAEL A. · 1992 to 2018
$43.8M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA046934NCI NIH HHS P50 CA058187
6 · The paper itself

Abstract

introductionOverexpression of the mesenchymal-epithelial transition (MET) receptor, a receptor tyrosine kinase, can propel the growth of cancer cells and portends poor prognoses for patients with lung cancer. Evaluation of MET by immunohistochemistry is challenging, with MET protein overexpression varying from 20% to 80% between lung cancer cohorts. Clinical trials using MET protein expression to select patients have also reported a wide range of positivity rates and outcomes. MATERIALS AND

methodsTo overcome this variability, the Lung Cancer Mutation Consortium Pathologist Panel endeavored to standardize the evaluation of MET protein expression with "Round Robin" conferences. This panel used randomly selected Aperio-scanned formalin-fixed paraffin-embedded lung cancer specimens stained by MET immunohistochemistry for the Lung Cancer Mutation Consortium 2.0 study (N=838). Seven pathologists in separate laboratories scored images of 5 initial cases and 2 subsequent rounds of 39 cases. The pathologists' scores were compared for consistency using the intraclass correlation coefficient. Issues affecting reproducibility were discussed in Round Robin conferences between rounds, and steps were taken to improve scoring consistency, such as sharing reference materials and example images.

resultsThe overall group intraclass correlation coefficient comparing the consistency of scoring improved from 0.50 (95% confidence interval, 0.37-0.64) for the first scoring round to 0.74 (95% confidence interval, 0.64-0.83) for the second round. DISCUSSION: We found that the consistency of MET immunohistochemistry scoring is improved by continuous training and communication between pathologists.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorCarcinoma, Non-Small-Cell LungCongresses as TopicHumansImmunohistochemistryLung NeoplasmsObserver VariationProto-Oncogene Proteins c-metReproducibility of ResultsTeachingBiomarkers, TumorMET protein, humanProto-Oncogene Proteins c-met

Identifiers

PMID31876606
PMCPMC7242128
OpenAlexW2997257906

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.