Evidence map›Paper›PMID 27900322›Full record

ArticleFrontiers in molecular biosciences2016

Patterns of Transposable Element Expression and Insertion in Cancer.

Evan A Clayton, Lu Wang, Lavanya Rishishwar, Jianrong Wang, John F McDonald, I King Jordan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-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

16 citing papers in PubMed, 31 citations in OpenAlex.

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  9. An atlas of transposable element-derived alternative splicing in cancer.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
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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

6 authors at 5 institutions in 3 countries.

Evan A ClaytonIntegrated Cancer Research Center, School of Biology, Georgia Institute of TechnologyAtlanta, GA, USA; Ovarian Cancer InstituteAtlanta, GA, USA.
Lu WangSchool of Biology, Georgia Institute of TechnologyAtlanta, GA, USA; PanAmerican Bioinformatics InstituteCali, Colombia.
Lavanya RishishwarSchool of Biology, Georgia Institute of TechnologyAtlanta, GA, USA; PanAmerican Bioinformatics InstituteCali, Colombia; Applied Bioinformatics LaboratoryAtlanta, GA, USA.
Jianrong WangDepartment of Computational Mathematics, Science and Engineering, Michigan State University East Lansing, MI, USA.
John F McDonaldIntegrated Cancer Research Center, School of Biology, Georgia Institute of TechnologyAtlanta, GA, USA; Ovarian Cancer InstituteAtlanta, GA, USA.
I King JordanSchool of Biology, Georgia Institute of TechnologyAtlanta, GA, USA; PanAmerican Bioinformatics InstituteCali, Colombia; Applied Bioinformatics LaboratoryAtlanta, GA, USA.
PanAmerican Bioinformatics Institute · COGeorgia Institute of Technology · USMichigan State University · USNational Cancer Center of Georgia · GEOvarian Cancer Research Alliance · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human transposable element (TE) activity in somatic tissues causes mutations that can contribute to tumorigenesis. Indeed, TE insertion mutations have been implicated in the etiology of a number of different cancer types. Nevertheless, the full extent of somatic TE activity, along with its relationship to tumorigenesis, have yet to be fully explored. Recent developments in bioinformatics software make it possible to analyze TE expression levels and TE insertional activity directly from transcriptome (RNA-seq) and whole genome (DNA-seq) next-generation sequence data. We applied these new sequence analysis techniques to matched normal and primary tumor patient samples from the Cancer Genome Atlas (TCGA) in order to analyze the patterns of TE expression and insertion for three cancer types: breast invasive carcinoma, head and neck squamous cell carcinoma, and lung adenocarcinoma. Our analysis focused on the three most abundant families of active human TEs: Alu, SVA, and L1. We found evidence for high levels of somatic TE activity for these three families in normal and cancer samples across diverse tissue types. Abundant transcripts for all three TE families were detected in both normal and cancer tissues along with an average of ~80 unique TE insertions per individual patient/tissue. We observed an increase in L1 transcript expression and L1 insertional activity in primary tumor samples for all three cancer types. Tumor-specific TE insertions are enriched for private mutations, consistent with a potentially causal role in tumorigenesis. We used genome feature analysis to investigate two specific cases of putative cancer-causing TE mutations in further detail. An Alu insertion in an upstream enhancer of the

Indexed as

AlubioinformaticsL1LINE-1mutationretrotransposonsSVAtumorigenesis

Identifiers

PMID27900322
PMCPMC5110550
OpenAlexW2550205762

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.