Evidence map›Paper›PMID 30529127›Full record

ArticleThe Journal of molecular diagnostics : JMD2019

Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non-Small Cell Lung Cancer.

Richard A Blidner, Brian C Haynes, Stephen Hyter, Sarah Schmitt, Ziyan Y Pessetto, Andrew K Godwin, Dan Su, Patrick Hurban, Léon C van Kempen, Maria L Aguirre and 3 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2019. 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

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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Richard A BlidnerAsuragen, Inc., Austin, Texas.
Brian C HaynesAsuragen, Inc., Austin, Texas.
Stephen HyterDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Sarah SchmittDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Ziyan Y PessettoDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Andrew K GodwinDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, Kansas; University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, Kansas.
Dan SuQ Squared Solutions Expression Analysis LLC, Morrisville, North Carolina.
Patrick HurbanQ Squared Solutions Expression Analysis LLC, Morrisville, North Carolina.
Léon C van KempenThe Molecular Pathology Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Maria L AguirreThe Molecular Pathology Centre, Jewish General Hospital, Montreal, Quebec, Canada.
Shobha GokulAsuragen, Inc., Austin, Texas.
Robyn D CardwellAsuragen, Inc., Austin, Texas.
Gary J LathamAsuragen, Inc., Austin, Texas. Electronic address: glatham@asuragen.com.

Funding

Comprehensive Solution for Transcriptome Profiling of Archived TissuesR43ES024365 · NIEHS · ASURAGEN, INC. · PI HAYNES, BRIAN CLIFTON · 2014 to 2014
$225k
NIEHS NIH HHS R43 ES024365
6 · The paper itself

Abstract

Lung cancer accounts for approximately 14% of all newly diagnosed cancers and is the leading cause of cancer-related deaths. Chimeric RNA resulting from gene fusions (RNA fusions) and other RNA splicing errors are driver events and clinically addressable targets for non-small cell lung cancer (NSCLC). The reliable assessment of these RNA markers by next-generation sequencing requires integrated reagents, protocols, and interpretive software that can harmonize procedures and ensure consistent results across laboratories. We describe the development and verification of a system for targeted RNA sequencing for the analysis of challenging, low-input solid tumor biopsies that includes reagents for nucleic acid quantification and library preparation, run controls, and companion bioinformatics software. Assay development reconciled sequence discrepancies in public databases, created predictive formalin-fixed, paraffin-embedded RNA qualification metrics, and eliminated read misidentification attributable to index hopping events on the next-generation sequencing flow cell. The optimized and standardized system was analytically verified internally and in a multiphase study conducted at five independent laboratories. The results show accurate, reproducible, and sensitive detection of RNA fusions, alternative splicing events, and other expression markers of NSCLC. This comprehensive approach, combining sample quantification, quality control, library preparation, and interpretive bioinformatics software, may accelerate the routine implementation of targeted RNA sequencing of formalin-fixed, paraffin-embedded samples relevant to NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungCell Line, TumorComputational BiologyExonsHigh-Throughput Nucleotide SequencingHumansLung Neoplasms

Identifiers

PMID30529127
PMCPMC7057224

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.