Evidence map›Paper›PMID 29112949›Full record

ArticlePloS one2017

Integrative analysis of genome-wide gene copy number changes and gene expression in non-small cell lung cancer.

Verena Jabs, Karolina Edlund, Helena König, Marianna Grinberg, Katrin Madjar, Jörg Rahnenführer, Simon Ekman, Michael Bergkvist, Lars Holmberg, Katja Ickstadt and 3 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Chaperonin in health and disease.Molecular biomedicine · 2026
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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

13 authors.

Verena JabsFaculty of Statistics, TU Dortmund University, Dortmund, Germany.
Karolina EdlundLeibniz Research Centre for Working Environment and Human Factors (IfADo) at Dortmund University, Dortmund, Germany.
Helena KönigFaculty of Statistics, TU Dortmund University, Dortmund, Germany.
Marianna GrinbergFaculty of Statistics, TU Dortmund University, Dortmund, Germany.
Katrin MadjarFaculty of Statistics, TU Dortmund University, Dortmund, Germany.
Jörg RahnenführerFaculty of Statistics, TU Dortmund University, Dortmund, Germany.
Simon EkmanDepartment of Oncology, Karolinska University Hospital, Stockholm, Sweden.
Michael BergkvistDept. of Oncology, Gävle Hospital, Gävle, Sweden.
Lars HolmbergRegional Cancer Center Uppsala-Örebro, Uppsala, Sweden.
Katja IckstadtFaculty of Statistics, TU Dortmund University, Dortmund, Germany.
Johan BotlingDept. of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Jan G HengstlerLeibniz Research Centre for Working Environment and Human Factors (IfADo) at Dortmund University, Dortmund, Germany.
Patrick MickeDept. of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-1210-5961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) represents a genomically unstable cancer type with extensive copy number aberrations. The relationship of gene copy number alterations and subsequent mRNA levels has only fragmentarily been described. The aim of this study was to conduct a genome-wide analysis of gene copy number gains and corresponding gene expression levels in a clinically well annotated NSCLC patient cohort (n = 190) and their association with survival. While more than half of all analyzed gene copy number-gene expression pairs showed statistically significant correlations (10,296 of 18,756 genes), high correlations, with a correlation coefficient >0.7, were obtained only in a subset of 301 genes (1.6%), including KRAS, EGFR and MDM2. Higher correlation coefficients were associated with higher copy number and expression levels. Strong correlations were frequently based on few tumors with high copy number gains and correspondingly increased mRNA expression. Among the highly correlating genes, GO groups associated with posttranslational protein modifications were particularly frequent, including ubiquitination and neddylation. In a meta-analysis including 1,779 patients we found that survival associated genes were overrepresented among highly correlating genes (61 of the 301 highly correlating genes, FDR adjusted p<0.05). Among them are the chaperone CCT2, the core complex protein NUP107 and the ubiquitination and neddylation associated protein CAND1. In conclusion, in a comprehensive analysis we described a distinct set of highly correlating genes. These genes were found to be overrepresented among survival-associated genes based on gene expression in a large collection of publicly available datasets.

Indexed as

Gene DosageGene Expression Regulation, NeoplasticCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsSurvival Analysis

Identifiers

PMID29112949
PMCPMC5675410

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Registered trials

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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.