Evidence map›Paper›PMID 20525786›Full record

ArticleNucleic acids research2010

Using next-generation sequencing for high resolution multiplex analysis of copy number variation from nanogram quantities of DNA from formalin-fixed paraffin-embedded specimens.

Henry M Wood, Ornella Belvedere, Caroline Conway, Catherine Daly, Rebecca Chalkley, Melissa Bickerdike, Claire McKinley, Phil Egan, Lisa Ross, Bruce Hayward and 9 more

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

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  5. Cross-Site Concordance Evaluation of Tumor DNA and RNA Sequencing Platforms for the CIMAC-CIDC Network.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
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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

19 authors.

Henry M WoodLeeds Institute of Molecular Medicine, St James's University Hospital, Leeds, UK. h.m.wood@leeds.ac.uk
Ornella Belvedere
Caroline Conway
Catherine Daly
Rebecca Chalkley
Melissa Bickerdike
Claire McKinley
Phil Egan
Lisa Ross
Bruce Hayward
Joanne Morgan
Leslie Davidson
Ken MacLennan
Thian K Ong
Kostas Papagiannopoulos
Ian Cook
David J Adams
Graham R Taylor
Pamela Rabbitts

Funding

Cancer Research UKWellcome Trust
6 · The paper itself

Abstract

The use of next-generation sequencing technologies to produce genomic copy number data has recently been described. Most approaches, however, reply on optimal starting DNA, and are therefore unsuitable for the analysis of formalin-fixed paraffin-embedded (FFPE) samples, which largely precludes the analysis of many tumour series. We have sought to challenge the limits of this technique with regards to quality and quantity of starting material and the depth of sequencing required. We confirm that the technique can be used to interrogate DNA from cell lines, fresh frozen material and FFPE samples to assess copy number variation. We show that as little as 5 ng of DNA is needed to generate a copy number karyogram, and follow this up with data from a series of FFPE biopsies and surgical samples. We have used various levels of sample multiplexing to demonstrate the adjustable resolution of the methodology, depending on the number of samples and available resources. We also demonstrate reproducibility by use of replicate samples and comparison with microarray-based comparative genomic hybridization (aCGH) and digital PCR. This technique can be valuable in both the analysis of routine diagnostic samples and in examining large repositories of fixed archival material.

Indexed as

DNA Copy Number VariationsFixativesFormaldehydeParaffin EmbeddingCell Line, TumorDNA, NeoplasmHumansNeoplasmsSequence Analysis, DNADNA, NeoplasmFixativesFormaldehyde

Identifiers

PMID20525786
PMCPMC2919738

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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.