Evidence map›Paper›PMID 30981944›Full record

ArticleTranslational oncology2019

An Integrated Next-Generation Sequencing System for Analyzing DNA Mutations, Gene Fusions, and RNA Expression in Lung Cancer.

Brian C Haynes, Richard A Blidner, Robyn D Cardwell, Robert Zeigler, Shobha Gokul, Julie R Thibert, Liangjing Chen, Junya Fujimoto, Vassiliki A Papadimitrakopoulou, Ignacio I Wistuba and 1 more

Abstract read
In one paragraph

Article in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Optimizing the clinical management ofTranslational lung cancer research · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Testing forOncoTargets and therapy · 2021
    Review
  13. Review
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.

Brian C HaynesAsuragen, Inc., Austin, TX, USA. Electronic address: bhaynes@asuragen.com.
Richard A BlidnerAsuragen, Inc., Austin, TX, USA.
Robyn D CardwellAsuragen, Inc., Austin, TX, USA.
Robert ZeiglerAsuragen, Inc., Austin, TX, USA.
Shobha GokulAsuragen, Inc., Austin, TX, USA.
Julie R ThibertAsuragen, Inc., Austin, TX, USA.
Liangjing ChenAsuragen, Inc., Austin, TX, USA.
Junya FujimotoDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vassiliki A PapadimitrakopoulouDepartment of Thoracic/Head and Neck Medical Oncology, Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ignacio I WistubaDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gary J LathamAsuragen, Inc., Austin, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Integrated Bioinformatics Analysis Suite for targeted NGS of clinical specimensR44GM111062 · NIGMS · ASURAGEN, INC. · PI HAYNES, BRIAN CLIFTON · 2014 to 2015
$1.1M
Comprehensive Solution for Transcriptome Profiling of Archived TissuesR43ES024365 · NIEHS · ASURAGEN, INC. · PI HAYNES, BRIAN CLIFTON · 2014 to 2014
$225k
NCI NIH HHS P30 CA016672NIEHS NIH HHS R43 ES024365NIGMS NIH HHS R44 GM111062
6 · The paper itself

Abstract

We developed and characterized a next-generation sequencing (NGS) technology for streamlined analysis of DNA and RNA using low-input, low-quality cancer specimens. A single-workflow, targeted NGS panel for non-small cell lung cancer (NSCLC) was designed covering 135 RNA and 55 DNA disease-relevant targets. This multiomic panel was used to assess 219 formalin-fixed paraffin-embedded NSCLC surgical resections and core needle biopsies. Mutations and expression phenotypes were identified consistent with previous large-scale genomic studies, including mutually exclusive DNA and RNA oncogenic driver events. Evaluation of a second cohort of low cell count fine-needle aspirate smears from the BATTLE-2 trial yielded 97% agreement with an independent, validated NGS panel that was used with matched surgical specimens. Collectively, our data indicate that broad, clinically actionable insights that previously required independent assays, workflows, and analyses to assess both DNA and RNA can be conjoined in a first-tier, highly multiplexed NGS test, thereby providing faster, simpler, and more economical results.

Identifiers

PMID30981944
PMCPMC6463765

What OpenQuestion holds

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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.