Evidence map›Paper›PMID 27547838›Full record

ArticleNext generation, sequencing & applications2016

Targeted Exome Sequencing Outcome Variations of Colorectal Tumors within and across Two Sequencing Platforms.

Hassan Ashktorab, Hamed Azimi, Michael L Nickerson, Sara Bass, Sudhir Varma, Hassan Brim

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Article in Next generation, sequencing & applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Hassan AshktorabDepartment of Medicine and Cancer Center, Howard University College of Medicine, Washington DC.
Hamed AzimiDepartment of Medicine and Cancer Center, Howard University College of Medicine, Washington DC.
Michael L NickersonCenter for Cancer Research, National Cancer Institute, Frederick, USA.
Sara BassCenter for Cancer Research, National Cancer Institute, Frederick, USA.
Sudhir VarmaHithru LLC, Silver Spring, Center for Cancer Research, National Cancer Institute, Frederick, USA.
Hassan BrimDepartment of Pathology, Howard University College of Medicine, Washington DC.

Funding

PROTEOMICS CORE FACILITYG12MD007597 · NIMHD · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 2012 to 2018
$14.8M
NIMHD NIH HHS G12 MD007597
6 · The paper itself

Abstract

BACKGROUND AND

aimNext generation sequencing (NGS) has quickly the tool of choice for genome and exome data generation. The multitude of sequencing platforms as well as the variabilities within each platform need to be assessed. In this paper we used two platforms (ION TORRENT AND ILLUMINA) to assess single nucleotides variants in colorectal cancer (CRC) specimens.

methodsCRC specimens (n = 13) collected from 6 CRC (cancer and matched normal) patients were used to establish the mutational profile using ION TORRENT AND ILLUMINA sequencing platforms. We analyzed a set of samples from Formalin Fixed Paraffin Embedded and FF (FF) samples on both platforms to assess the effect of sample nature (FFPE vs. FF) on sequencing outcome and to evaluate the similarity/differences of SNVs across the two platforms. In addition, duplicates of FF samples were sequenced on each platform to assess variability within platform.

resultsThe comparison of FF replicates to each other gave a concordance of 77% (± 15.3%) in Ion Torrent and 70% (± 3.7%) in Illumina. FFPE vs. FF replicates gave a concordance of 40% (± 32%) in Ion Torrent and 49% (± 19%) in Illumina. For the cross platform concordance were FFPE compared to FF (Average of 75% (± 9.8%) for FFPE samples and 67% (± 32%) for FF and 70% (± 26.8%) overall average).

conclusionOur data show a significant variability within and across platforms. Also the number of detected variants depend on the nature of the specimen; FF vs. FFPE. Validation of NGS discovered mutations is a must to rule-out false positive mutants. This validation might either be performed through a second NGS platform or through Sanger sequencing.

Indexed as

MutationsNucleotidesSequencing technologyTumors

Identifiers

PMID27547838
PMCPMC4989921

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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.