Evidence map›Paper›PMID 29507679›Full record

ArticleOncotarget2018

Differentially expressed microRNAs in lung adenocarcinoma invert effects of copy number aberrations of prognostic genes.

Tomas Tokar, Chiara Pastrello, Varune R Ramnarine, Chang-Qi Zhu, Kenneth J Craddock, Larrisa A Pikor, Emily A Vucic, Simon Vary, Frances A Shepherd, Ming-Sound Tsao and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data.European journal of nuclear medicine and molecular imaging · 2019
    Review
  5. Article
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

12 authors at 5 institutions in 3 countries.

Tomas TokarPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Chiara PastrelloPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Varune R RamnarinePrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Chang-Qi ZhuPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Kenneth J CraddockPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Larrisa A PikorDepartment of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, Canada.
Emily A VucicDepartment of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, Canada.
Simon VaryPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Frances A ShepherdPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Wan L LamDepartment of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, Canada.
Igor JurisicaPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
University Health Network · CAOccupational Cancer Research Centre · CAPrincess Margaret Cancer Centre · CAComenius University Bratislava · SKSlovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many cancers, significantly down- or upregulated genes are found within chromosomal regions with DNA copy number alteration opposite to the expression changes. Generally, this paradox has been overlooked as noise, but can potentially be a consequence of interference of epigenetic regulatory mechanisms, including microRNA-mediated control of mRNA levels. To explore potential associations between microRNAs and paradoxes in non-small-cell lung cancer (NSCLC) we curated and analyzed lung adenocarcinoma (LUAD) data, comprising gene expressions, copy number aberrations (CNAs) and microRNA expressions. We integrated data from 1,062 tumor samples and 241 normal lung samples, including newly-generated array comparative genomic hybridization (aCGH) data from 63 LUAD samples. We identified 85 "paradoxical" genes whose differential expression consistently contrasted with aberrations of their copy numbers. Paradoxical status of 70 out of 85 genes was validated on sample-wise basis using The Cancer Genome Atlas (TCGA) LUAD data. Of these, 41 genes are prognostic and form a clinically relevant signature, which we validated on three independent datasets. By meta-analysis of results from 9 LUAD microRNA expression studies we identified 24 consistently-deregulated microRNAs. Using TCGA-LUAD data we showed that deregulation of 19 of these microRNAs explains differential expression of the paradoxical genes. Our results show that deregulation of paradoxical genes is crucial in LUAD and their expression pattern is maintained epigenetically, defying gene copy number status.

Indexed as

copy number aberrationsgene regulatory networklung adenocarcinomamicroRNAprognostic signature

Identifiers

PMID29507679
PMCPMC5823624
OpenAlexW2782759066

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.