Evidence map›Paper›PMID 26276228›Full record

ArticleMolecular oncology2015

Genotyping concordance in DNA extracted from formalin-fixed paraffin embedded (FFPE) breast tumor and whole blood for pharmacogenetic analyses.

Daniel L Hertz, Kelley M Kidwell, Jacklyn N Thibert, Christina Gersch, Meredith M Regan, Todd C Skaar, N Lynn Henry, Daniel F Hayes, Catherine H Van Poznak, James M Rae

Open access · bronzeAbstract read
In one paragraph

Article in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  11. Defining Clinical Utility of Germline Indicators of Toxicity Risk: A Perspective.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
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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 1 country.

Daniel L HertzDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA. Electronic address: DLHertz@med.umich.edu.
Kelley M KidwellDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: kidwell@umich.edu.
Jacklyn N ThibertDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Health System, Ann Arbor, MI, USA. Electronic address: jthibert@med.umich.edu.
Christina GerschDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Health System, Ann Arbor, MI, USA. Electronic address: clgersch@med.umich.edu.
Meredith M ReganDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. Electronic address: mregan@jimmy.harvard.edu.
Todd C SkaarDepartment of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN, USA. Electronic address: tskaar@iu.edu.
N Lynn HenryDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Health System, Ann Arbor, MI, USA; Breast Oncology Program, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA. Electronic address: norahh@med.umich.edu.
Daniel F HayesDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Health System, Ann Arbor, MI, USA; Breast Oncology Program, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA. Electronic address: hayesdf@med.umich.edu.
Catherine H Van PoznakDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Health System, Ann Arbor, MI, USA; Breast Oncology Program, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA. Electronic address: cvanpoz@med.umich.edu.
James M RaeDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Health System, Ann Arbor, MI, USA. Electronic address: jimmyrae@med.umich.edu.
University of Michigan · USMichigan Medicine · USHarvard University · USIndiana University School of Medicine

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Genetic Predictors of Anti-Estrogen Clinical Activity in Breast Cancer PatientsR01GM099143 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAE, JAMES MICHAEL · 2011 to 2015
$1.6M
Genetic Risk of Osteonecrosis of the Jaw (ONJ) in Patients with Metastatic CancerK23DE020197 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VAN POZNAK, CATHERINE H · 2009 to 2013
$670k
NCATS NIH HHS UL1 TR000433NCI NIH HHS P30 CA046592NCRR NIH HHS UL1 RR024986NCRR NIH HHS UL1RR024986NIDCR NIH HHS 5K23DE020197NIDCR NIH HHS K23 DE020197NIGMS NIH HHS 1R01GM099143NIGMS NIH HHS R01 GM099143
6 · The paper itself

Abstract

backgroundCancer pharmacogenetic studies use archival tumor samples as a DNA source when germline DNA is unavailable. Genotyping DNA from formalin-fixed paraffin embedded tumors (FFPE-T) may be inaccurate due to FFPE storage, genetic aberrations, and/or insufficient DNA extraction. Our objective was to assess the extent and source of genotyping inaccuracy from FFPE-T DNA and demonstrate analytical validity of FFPE-T genotyping of candidate single nucleotide polymorphisms (SNPs) for pharmacogenetic analyses.

methodsCancer pharmacogenetics SNPs were genotyped by Sequenom MassARRAYs in DNA harvested from matched FFPE-T, FFPE lymph node (FFPE-LN), and whole blood leukocyte samples obtained from breast cancer patients. No- and discordant-call rates were calculated for each tissue type and SNP. Analytical validity was defined as any SNP with <5% discordance between FFPE-T and blood and <10% discordance plus no-calls.

resultsMatched samples from 114 patients were genotyped for 247 SNPs. No-call rate in FFPE-T was greater than FFPE-LN and blood (4.3% vs. 3.0% vs. 0.5%, p < 0.001). Discordant-call rate between FFPE-T and blood was very low, but greater than that between FFPE-LN and blood (1.1% vs. 0.3%, p < 0.001). Samples with heterozygous genotypes were more likely to be no- or discordantly-called in either tissue (p < 0.001). Analytical validity of FFPE-T genotyping was demonstrated for 218 (88%) SNPs.

conclusionsNo- and discordant-call rates were below concerning thresholds, confirming that most SNPs can be accurately genotyped from FFPE-T on our Sequenom platform. FFPE-T is a viable DNA source for prospective-retrospective pharmacogenetic analyses of clinical trial cohorts.

Indexed as

Polymorphism, Single NucleotideBreastBreast NeoplasmsDNAFemaleFormaldehydeGenotyping TechniquesHumansParaffin EmbeddingPharmacogeneticsTissue FixationDNAFormaldehydeCancerFFPEFormalin-fixed paraffin embeddedGermline genomePharmacogeneticsSomatic genome

Identifiers

PMID26276228
PMCPMC4624024
OpenAlexW2169027321

What OpenQuestion holds

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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.