Evidence map›Paper›PMID 23361872›Full record

ArticleCancer cytopathology2013

EZH2 and CD79B mutational status over time in B-cell non-Hodgkin lymphomas detected by high-throughput sequencing using minimal samples.

Mauro Ajaj Saieg, William R Geddie, Scott L Boerner, Denis Bailey, Michael Crump, Gilda da Cunha Santos

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Article in Cancer cytopathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

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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

6 authors at 2 institutions in 1 country.

Mauro Ajaj SaiegDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada.
William R Geddie
Scott L Boerner
Denis Bailey
Michael Crump
Gilda da Cunha Santos
University of Toronto · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous genomic abnormalities in B-cell non-Hodgkin lymphomas (NHLs) have been revealed by novel high-throughput technologies, including recurrent mutations in EZH2 (enhancer of zeste homolog 2) and CD79B (B cell antigen receptor complex-associated protein beta chain) genes. This study sought to determine the evolution of the mutational status of EZH2 and CD79B over time in different samples from the same patient in a cohort of B-cell NHLs, through use of a customized multiplex mutation assay.

methodsDNA that was extracted from cytological material stored on FTA cards as well as from additional specimens, including archived frozen and formalin-fixed histological specimens, archived stained smears, and cytospin preparations, were submitted to a multiplex mutation assay specifically designed for the detection of point mutations involving EZH2 and CD79B, using MassARRAY spectrometry followed by Sanger sequencing.

resultsAll 121 samples from 80 B-cell NHL cases were successfully analyzed. Mutations in EZH2 (Y646) and CD79B (Y196) were detected in 13.2% and 8% of the samples, respectively, almost exclusively in follicular lymphomas and diffuse large B-cell lymphomas. In one-third of the positive cases, a wild type was detected in a different sample from the same patient during follow-up.

conclusionsTesting multiple minimal tissue samples using a high-throughput multiplex platform exponentially increases tissue availability for molecular analysis and might facilitate future studies of tumor progression and the related molecular events. Mutational status of EZH2 and CD79B may vary in B-cell NHL samples over time and support the concept that individualized therapy should be based on molecular findings at the time of treatment, rather than on results obtained from previous specimens. Cancer (Cancer Cytopathol) 2013;121:377-386. © 2013 American Cancer Society.

Indexed as

CytodiagnosisHigh-Throughput Nucleotide SequencingAdultAgedAged, 80 and overCD79 AntigensDNA Mutational AnalysisDNA, NeoplasmEnhancer of Zeste Homolog 2 ProteinFemaleGenotypeHumansLymphoma, B-CellMaleMass SpectrometryMiddle AgedCD79 AntigensCD79B protein, humanDNA, NeoplasmEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanPolycomb Repressive Complex 2B-cell non-Hodgkin lymphomaCD79BDNA mutational analysisEZH2fine-needle biopsyMassARRAY spectrometry

Identifiers

PMID23361872
PMCPMC3799012
OpenAlexW1717399098

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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.