Evidence map›Paper›PMID 25314059›Full record

ArticleBritish journal of cancer2014

Clinical massively parallel next-generation sequencing analysis of 409 cancer-related genes for mutations and copy number variations in solid tumours.

R R Singh, K P Patel, M J Routbort, K Aldape, X Lu, J Manekia, R Abraham, N G Reddy, B A Barkoh, J Veliyathu and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

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  7. HER2-low expression in patients with advanced or metastatic solid tumors.Annals of oncology : official journal of the European Society for Medical Oncology · 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

12 authors at 1 institution in 1 country.

R R SinghDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
K P PatelDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
M J RoutbortDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
K AldapeDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
X LuDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
J ManekiaDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
R AbrahamDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
N G ReddyDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
B A BarkohDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
J VeliyathuDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
L J MedeirosDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
R LuthraDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a clinical diagnostic laboratory, we evaluated the applicability of the Ion Proton sequencer for screening 409 cancer-related genes in solid tumours.

methodsDNA was extracted from formalin-fixed, paraffin-embedded (FFPE) tissue biopsy specimens of 55 solid tumours (20 with matched normal tissue) and four cell lines and screened for mutations in 409 genes using the Ion Proton system. The mutation profiles of these samples were known based on prior testing using the Ion Torrent Personal Genome Machine (46-gene hotspot panel), Sanger sequencing, or fluorescence in situ hybridisation (FISH). Concordance with retrospective findings and additional mutations were evaluated. Assay sensitivity and reproducibility were established. Gene copy number variations (CNVs) detected were confirmed by molecular inversion probe (MIP) array.

resultsThe average Ion Proton (409-gene panel) sequencing output per run was 8 gigabases with 128 million sequencing reads. Of the 15,992 amplicons in the 409-gene panel, 90% achieved a minimum average sequencing depth of 100X. In 59 samples, the Ion Proton detected 100 of 105 expected single-nucleotide variants (SNVs) and all expected deletions (n=8), insertions (n=5), and CNVs (n=7). Five SNVs were not detected due to failed amplification of targeted regions. In 20 tumours with paired normal tissue, Ion Proton detected 37 additional somatic mutations, several in genes of high prognostic or therapeutic significance, such as MET, ALK, TP53, APC, and PTEN. MIP array analysis confirmed all CNVs detected by Ion Proton.

conclusionsThe Ion Proton (409-gene panel) system was found to be well suited for use in a clinical molecular diagnostic laboratory. It can simultaneously screen 409 genes for a variety of sequence variants in multiple samples using a low input of FFPE DNA with high reproducibility and sensitivity.

Indexed as

DNA Copy Number VariationsDNAHigh-Throughput Nucleotide SequencingHumansIn Situ Hybridization, FluorescenceMutationNeoplasm ProteinsNeoplasmsPolymerase Chain ReactionReproducibility of ResultsDNANeoplasm Proteins

Identifiers

PMID25314059
PMCPMC4229640
OpenAlexW2062497242

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.