GEO DataSets

(Submitter supplied) Understanding the molecular signatures of cancer is important to apply appropriate targeted therapies. Here we present the first large scale RNA sequencing study of lung adenocarcinoma demonstrating its power to identify somatic point mutations as well as transcriptional variants such as gene fusions, alternative splicing events and expression outliers. Our results reveal the genetic basis of 200 lung adenocarcinomas in Koreans including deep characterization of 87 surgical specimens by transcriptome sequencing. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

164 Samples

Download data: TXT

(Submitter supplied) Lung cancer is a highly heterogeneous disease in terms of both underlying genetic lesions and response to therapeutic treatments. We performed deep whole genome sequencing and transcriptome sequencing on 19 lung cancer cell lines and 3 lung tumor/normal pairs (provisional dbGaP accession number; phs000299.v2.p1). Overall, our data show that cell line models exhibit similar mutation spectra to human tumor samples. more...

Organism:

Homo sapiens

Type:

SNP genotyping by SNP array; Genome variation profiling by SNP array

Platform:

GPL16107

19 Samples

Download data: TXT

(Submitter supplied) Background. Novel and targetable mutations are needed for improved understanding and treatment of lung cancer in never-smokers. Methods. Twenty-seven lung adenocarcinomas from never-smokers were sequenced by both exome and mRNA-seq with respective normal tissues. Somatic mutations were detected and compared with pathway deregulation, tumor phenotypes and clinical outcomes. Results. Although somatic mutations in DNA or mRNA ranged from hundreds to thousands in each tumor, the overlap mutations between the two were only a few to a couple of hundreds. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

54 Samples

Download data: TXT