Evidence map›Paper›PMID 22719973›Full record

ArticlePloS one2012

DNA fragmentation simulation method (FSM) and fragment size matching improve aCGH performance of FFPE tissues.

Justin M Craig, Natalie Vena, Shakti Ramkissoon, Ahmed Idbaih, Shaun D Fouse, Memet Ozek, Aydin Sav, D Ashley Hill, Linda R Margraf, Charles G Eberhart and 7 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2012. 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
–field-weighted citation impact
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.

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  7. Azalomycin FInternational journal of molecular sciences · 2020
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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

17 authors.

Justin M CraigDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Natalie Vena
Shakti Ramkissoon
Ahmed Idbaih
Shaun D Fouse
Memet Ozek
Aydin Sav
D Ashley Hill
Linda R Margraf
Charles G Eberhart
Mark W Kieran
Andrew D Norden
Patrick Y Wen
Massimo Loda
Sandro Santagata
Keith L Ligon
Azra H Ligon

Funding

Transgenic Mouse and Biobank CoreP01CA095616 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHIN, LYNDA · 2003 to 2012
$20.3M
Therapeutic Opportunities for Pediatric AstrocytomaP01CA142536 · NCI · DANA-FARBER CANCER INST · PI SEGAL, ROSALIND A. · 2011 to 2015
$7.9M
Heat Shock Directed Drug Discovery For The Treatment Of GliomasK08NS064168 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI SANTAGATA, SANDRO · 2008 to 2012
$900k
NCI NIH HHS CA095616NCI NIH HHS CA142536NCI NIH HHS P01 CA095616NCI NIH HHS P01 CA142536NINDS NIH HHS K08 NS064168NINDS NIH HHS NS064168
6 · The paper itself

Abstract

Whole-genome copy number analysis platforms, such as array comparative genomic hybridization (aCGH) and single nucleotide polymorphism (SNP) arrays, are transformative research discovery tools. In cancer, the identification of genomic aberrations with these approaches has generated important diagnostic and prognostic markers, and critical therapeutic targets. While robust for basic research studies, reliable whole-genome copy number analysis has been unsuccessful in routine clinical practice due to a number of technical limitations. Most important, aCGH results have been suboptimal because of the poor integrity of DNA derived from formalin-fixed paraffin-embedded (FFPE) tissues. Using self-hybridizations of a single DNA sample we observed that aCGH performance is significantly improved by accurate DNA size determination and the matching of test and reference DNA samples so that both possess similar fragment sizes. Based on this observation, we developed a novel DNA fragmentation simulation method (FSM) that allows customized tailoring of the fragment sizes of test and reference samples, thereby lowering array failure rates. To validate our methods, we combined FSM with Universal Linkage System (ULS) labeling to study a cohort of 200 tumor samples using Agilent 1 M feature arrays. Results from FFPE samples were equivalent to results from fresh samples and those available through the glioblastoma Cancer Genome Atlas (TCGA). This study demonstrates that rigorous control of DNA fragment size improves aCGH performance. This methodological advance will permit the routine analysis of FFPE tumor samples for clinical trials and in daily clinical practice.

Indexed as

Comparative Genomic HybridizationDNA FragmentationHumans

Identifiers

PMID22719973
PMCPMC3376148

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.