Evidence map›Paper›PMID 23769412›Full record

ReviewMolecular oncology2013

Translating next generation sequencing to practice: opportunities and necessary steps.

Sitharthan Kamalakaran, Vinay Varadan, Angel Janevski, Nilanjana Banerjee, David Tuck, W Richard McCombie, Nevenka Dimitrova, Lyndsay N Harris

Abstract readReview
In one paragraph

Review in Molecular oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
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  6. Article
  7. Review
  8. A Novel Predictive Model Incorporating Ferroptosis-Related Gene Signatures for Overall Survival in Patients with Lung Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
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  17. Clinical integration of next generation sequencing: coverage and reimbursement challenges.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2014
    Article
  18. 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

8 authors.

Sitharthan KamalakaranPhilips Research North America, Briarcliff Manor, NY 10510, USA. sitharthk@philips.com
Vinay Varadan
Angel Janevski
Nilanjana Banerjee
David Tuck
W Richard McCombie
Nevenka Dimitrova
Lyndsay N Harris

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
NCI NIH HHS CA045508NCI NIH HHS P30 CA045508
6 · The paper itself

Abstract

Next-generation sequencing (NGS) approaches for measuring RNA and DNA benefit from greatly increased sensitivity, dynamic range and detection of novel transcripts. These technologies are rapidly becoming the standard for molecular assays and represent huge potential value to the practice of oncology. However, many challenges exist in the transition of these technologies from research application to clinical practice. This review discusses the value of NGS in detecting mutations, copy number changes and RNA quantification and their applications in oncology, the challenges for adoption and the relevant steps that are needed for translating this potential to routine practice.

Indexed as

DNA Copy Number VariationsGenomicsHigh-Throughput Nucleotide SequencingHumansMaleMutationNeoplasmsSequence Analysis, DNAGenomicsNext generation sequencingOncologyPersonalized medicine

Identifiers

PMID23769412
PMCPMC5528427

What OpenQuestion holds

Textmetadata
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.