Evidence map›Paper›PMID 28392986›Full record

ArticlePeerJ2017

Prioritisation of structural variant calls in cancer genomes.

Miika J Ahdesmäki, Brad A Chapman, Pablo Cingolani, Oliver Hofmann, Aleksandr Sidoruk, Zhongwu Lai, Gennadii Zakharov, Mikhail Rodichenko, Mikhail Alperovich, David Jenkins and 5 more

Abstract read
In one paragraph

Article in PeerJ, 2017. 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. Article
  3. Article
  4. Article
  5. Review
  6. Integrative characterization of intraductal tubulopapillary neoplasm (ITPN) of the pancreas and associated invasive adenocarcinoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. RAF1 rearrangements are common in pancreatic acinar cell carcinomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  12. Article
  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

15 authors.

Miika J AhdesmäkiInnovative Medicines and Early Development, Oncology, AstraZeneca , Cambridge , United Kingdom.
Brad A ChapmanHarvard T.H. Chan School of Public Health, Harvard University , Boston , MA , United States.
Pablo CingolaniKew Inc. , Cambridge , MA , United States.
Oliver HofmannCentre for Cancer Research, University of Melbourne , Melbourne , Australia.
Aleksandr SidorukEPAM Systems Inc., Newtown, PA, United States; Department of software engineering, St. Petersburg State University, St. Petersburg, Russia.
Zhongwu LaiInnovative Medicines and Early Development, Oncology, AstraZeneca , Waltham , MA , United States.
Gennadii ZakharovEPAM Systems Inc., Newtown, PA, United States; Pavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia.
Mikhail RodichenkoEPAM Systems Inc. , Newtown , PA , United States.
Mikhail AlperovichEPAM Systems Inc. , Newtown , PA , United States.
David JenkinsBoston University , Boston , MA , United States.
T Hedley CarrInnovative Medicines and Early Development, Oncology, AstraZeneca , Cambridge , United Kingdom.
Daniel StetsonInnovative Medicines and Early Development, Oncology, AstraZeneca , Waltham , MA , United States.
Brian DoughertyInnovative Medicines and Early Development, Oncology, AstraZeneca , Waltham , MA , United States.
J Carl BarrettInnovative Medicines and Early Development, Oncology, AstraZeneca , Waltham , MA , United States.
Justin H JohnsonInnovative Medicines and Early Development, Oncology, AstraZeneca , Waltham , MA , United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitivity of short read DNA-sequencing for gene fusion detection is improving, but is hampered by the significant amount of noise composed of uninteresting or false positive hits in the data. In this paper we describe a tiered prioritisation approach to extract high impact gene fusion events from existing structural variant calls. Using cell line and patient DNA sequence data we improve the annotation and interpretation of structural variant calls to best highlight likely cancer driving fusions. We also considerably improve on the automated visualisation of the high impact structural variants to highlight the effects of the variants on the resulting transcripts. The resulting framework greatly improves on readily detecting clinically actionable structural variants.

Indexed as

AnnotationGene fusionOncologyPrioritisationStructural variationVisualisation

Identifiers

PMID28392986
PMCPMC5382922

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.