Evidence map›Paper›PMID 25468433›Full record

ArticleThe Journal of molecular diagnostics : JMD2015

Assessing copy number alterations in targeted, amplicon-based next-generation sequencing data.

Catherine Grasso, Timothy Butler, Katherine Rhodes, Michael Quist, Tanaya L Neff, Stephen Moore, Scott A Tomlins, Erica Reinig, Carol Beadling, Mark Andersen and 1 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Trial
  2. Clinical and Genomic Characterization of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer: A Multi-institutional Prospective Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
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24 more citing papers are in PubMed but not listed here.

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

11 authors.

Catherine GrassoKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon.
Timothy ButlerKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon.
Katherine RhodesIon Torrent by Thermo Fischer, Carlsbad, California.
Michael QuistKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon.
Tanaya L NeffKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon; Knight Diagnostic Laboratories, Oregon Health and Science University, Portland, Oregon.
Stephen MooreKnight Diagnostic Laboratories, Oregon Health and Science University, Portland, Oregon; Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon.
Scott A TomlinsDepartment of Pathology, Urology and Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan.
Erica ReinigDepartment of Pathology, Oregon Health and Science University, Portland, Oregon.
Carol BeadlingKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon; Knight Diagnostic Laboratories, Oregon Health and Science University, Portland, Oregon.
Mark AndersenIon Torrent by Thermo Fischer, Carlsbad, California.
Christopher L CorlessKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon; Knight Diagnostic Laboratories, Oregon Health and Science University, Portland, Oregon; Department of Pathology, Oregon Health and Science University, Portland, Oregon. Electronic address: corlessc@ohsu.edu.

Funding

Program in Molecular and Cellular BiosciencesT32GM071338 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI MASLEN, CHERYL L · 2005 to 2020
$3.5M
NIGMS NIH HHS T32 GM071338
6 · The paper itself

Abstract

Changes in gene copy number are important in the setting of precision medicine. Recent studies have established that copy number alterations (CNAs) can be detected in sequencing libraries prepared by hybridization-capture, but there has been comparatively little attention given to CNA assessment in amplicon-based libraries prepared by PCR. In this study, we developed an algorithm for detecting CNAs in amplicon-based sequencing data. CNAs determined from the algorithm mirrored those from a hybridization-capture library. In addition, analysis of 14 pairs of matched normal and breast carcinoma tissues revealed that sequence data pooled from normal samples could be substituted for a matched normal tissue without affecting the detection of clinically relevant CNAs (>|2| copies). Comparison of CNAs identified by array comparative genomic hybridization and amplicon-based libraries across 10 breast carcinoma samples showed an excellent correlation. The CNA algorithm also compared favorably with fluorescence in situ hybridization, with agreement in 33 of 38 assessments across four different genes. Factors that influenced the detection of CNAs included the number of amplicons per gene, the average read depth, and, most important, the proportion of tumor within the sample. Our results show that CNAs can be identified in amplicon-based targeted sequencing data, and that their detection can be optimized by ensuring adequate tumor content and read coverage.

Indexed as

AlgorithmsGene DosageCase-Control StudiesComparative Genomic HybridizationFemaleGene ExpressionGenomic LibraryHigh-Throughput Nucleotide SequencingHumansIn Situ Hybridization, FluorescenceMaleNeoplasm ProteinsNeoplasmsOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionNeoplasm Proteins

Identifiers

PMID25468433
PMCPMC5707205

What OpenQuestion holds

Textmetadata
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.