Evidence map›Paper›PMID 28118602›Full record

ArticleOncotarget2017

A methodological study of genome-wide DNA methylation analyses using matched archival formalin-fixed paraffin embedded and fresh frozen breast tumors.

Allyson C Espinal, Dan Wang, Li Yan, Song Liu, Li Tang, Qiang Hu, Carl D Morrison, Christine B Ambrosone, Michael J Higgins, Lara E Sucheston-Campbell

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  4. The Role of theBiomedicines · 2023
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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 2 institutions in 1 country.

Allyson C EspinalDepartment of Molecular and Cell Biology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Dan WangDepartment of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY, USA.
Li YanDepartment of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY, USA.
Song LiuDepartment of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY, USA.
Li TangDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA.
Qiang HuDepartment of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY, USA.
Carl D MorrisonDepartment of Pathology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Christine B AmbrosoneDepartment of Pathology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Michael J HigginsDepartment of Molecular and Cell Biology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Lara E Sucheston-CampbellCollege of Pharmacy, The Ohio State University, Columbus, OH, USA.
Roswell Park Comprehensive Cancer Center · USThe Ohio State University · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
The Biology of Prostate Stem Cells - Resubmission - 1R01CA132641 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WILSON, ELAINE LYNETTE · 2007 to 2017
$4.0M
DNA Methylation: a Mechanism for Aggressive Breast Cancer in African-American WomR01CA133264 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI AMBROSONE, CHRISTINE B., DEMISSIE, KITAW · 2010 to 2013
$3.6M
PDEF and survivin: cancer prognosis, initiation, progression and metastasisR01CA133241 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI LI, FENGZHI · 2009 to 2010
$674k
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA132641NCI NIH HHS R01 CA133241NCI NIH HHS R01 CA133264
6 · The paper itself

Abstract

backgroundDNA from archival formalin-fixed and paraffin embedded (FFPE) tissue is an invaluable resource for genome-wide methylation studies although concerns about poor quality may limit its use. In this study, we compared DNA methylation profiles of breast tumors using DNA from fresh-frozen (FF) tissues and three types of matched FFPE samples.

resultsFor 9/10 patients, correlation and unsupervised clustering analysis revealed that the FF and FFPE samples were consistently correlated with each other and clustered into distinct subgroups. Greater than 84% of the top 100 loci previously shown to differentiate ER+ and ER- tumors in FF tissues were also FFPE DML. Weighted Correlation Gene Network Analyses (WCGNA) grouped the DML loci into 16 modules in FF tissue, with ~85% of the module membership preserved across tissue types. MATERIALS AND

methodsRestored FFPE and matched FF samples were profiled using the Illumina Infinium HumanMethylation450K platform. Methylation levels (β-values) across all loci and the top 100 loci previously shown to differentiate tumors by estrogen receptor status (ER+ or ER-) in a larger FF study, were compared between matched FF and FFPE samples using Pearson's correlation, hierarchical clustering and WCGNA. Positive predictive values and sensitivity levels for detecting differentially methylated loci (DML) in FF samples were calculated in an independent FFPE cohort.

conclusionsFFPE breast tumors samples show lower overall detection of DMLs versus FF, however FFPE and FF DMLs compare favorably. These results support the emerging consensus that the 450K platform can be employed to investigate epigenetics in large sets of archival FFPE tissues.

Indexed as

DNA MethylationEpigenomicsGenome, HumanBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisParaffin EmbeddingTissue FixationBiomarkers, Tumorbreast cancerDNA methylation/epigeneticsestrogen receptor negative

Identifiers

PMID28118602
PMCPMC5362446
OpenAlexW2574107000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.