Evidence map›Paper›PMID 23376639›Full record

ReviewCancer letters2013

Fusion genes and their discovery using high throughput sequencing.

M J Annala, B C Parker, W Zhang, M Nykter

Open access · greenAbstract readReview
In one paragraph

Review in Cancer letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

45 citing papers in PubMed, 94 citations in OpenAlex.

  1. Comprehensive analysis ofJournal of genetics · 2020
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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

4 authors at 2 institutions in 2 countries.

M J AnnalaTampere University of Technology, Tampere, Finland. Electronic address: matti.annala@tut.fi.
B C Parker
W Zhang
M Nykter
Tampere University · FIThe University of Texas MD Anderson Cancer Center · US

Funding

Center for Systems Analysis of the Cancer RegulomeU24CA143835 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI SHMULEVICH, ILYA · 2009 to 2016
$10.6M
NCI NIH HHS U24 CA143835
6 · The paper itself

Abstract

Fusion genes are hybrid genes that combine parts of two or more original genes. They can form as a result of chromosomal rearrangements or abnormal transcription, and have been shown to act as drivers of malignant transformation and progression in many human cancers. The biological significance of fusion genes together with their specificity to cancer cells has made them into excellent targets for molecular therapy. Fusion genes are also used as diagnostic and prognostic markers to confirm cancer diagnosis and monitor response to molecular therapies. High-throughput sequencing has enabled the systematic discovery of fusion genes in a wide variety of cancer types. In this review, we describe the history of fusion genes in cancer and the ways in which fusion genes form and affect cellular function. We also describe computational methodologies for detecting fusion genes from high-throughput sequencing experiments, and the most common sources of error that lead to false discovery of fusion genes.

Indexed as

Gene FusionGenome, HumanHigh-Throughput Nucleotide SequencingSequence Analysis, DNAAnimalsBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenetic TestingGenomicsHumansNeoplasmsPhenotypePrecision MedicineBiomarkers, TumorCancerFusion geneHigh throughput sequencing

Identifiers

PMID23376639
PMCPMC3675181
OpenAlexW2096403715

What OpenQuestion holds

Textmetadata
LicenceTDM
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.