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

Autor: Jabs, Verena, Edlund, Karolina, König, Helena, Grinberg, Marianna, Madjar, Katrin, Rahnenführer, Jörg, Ekman, Simon, Bergkvist, Michael, Holmberg, Lars, Ickstadt, Katja, Botling, Johan, Hengstler, Jan G., Micke, Patrick
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Lung Neoplasms
Gene Dosage
Gene Expression
lcsh:Medicine
Research and Analysis Methods
Carcinomas
Lung and Intrathoracic Tumors
Mathematical and Statistical Techniques
Cancer Genomics
Genomic Medicine
Adenocarcinomas
Carcinoma
Non-Small-Cell Lung

Basic Cancer Research
Genetics
Medicine and Health Sciences
Humans
Statistical Methods
lcsh:Science
Cancer och onkologi
Gene ontologies
Non-small cell lung cancer
Squamous cell carcinomas
Gene expression
Cancer genomics
Meta-analysis
Clinical Laboratory Medicine
Gene Ontologies
lcsh:R
Biology and Life Sciences
Cancers and Neoplasms
Computational Biology
Squamous Cell Carcinomas
Genomics
Genome Analysis
Survival Analysis
Non-Small Cell Lung Cancer
Gene Expression Regulation
Neoplastic

Klinisk laboratoriemedicin
Oncology
Cancer and Oncology
Physical Sciences
lcsh:Q
Mathematics
Statistics (Mathematics)
Research Article
Meta-Analysis
Zdroj: PLoS ONE, Vol 12, Iss 11, p e0187246 (2017)
PLoS ONE
PLOS ONE, 12(11):e0187246
ISSN: 1932-6203
Popis: 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
Databáze: OpenAIRE