Genome and transcriptome sequencing of lung cancers reveal diverse mutational and splicing events [array component]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE40908 | GEO | 2012/09/26
SECONDARY ACCESSION(S): PRJNA176024
REPOSITORIES: GEO
Similar Datasets
Project description: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. Taken together, these data present a comprehensive genomic landscape of a large number of lung cancer samples and further demonstrate that cancer specific alternative splicing is a widespread phenomenon that has potential utility as therapeutic biomarkers. Nineteen non-small cell lung cancer cell lines were assayed for genotype, copy number and LOH using Illumina Omni2.5-4 arrays, GenomeStudio V2011.1, and a modified version of the PICNIC (PMID 19837654) algorithm.
2012-09-26 | E-GEOD-40908 | biostudies-arrayexpress
Project description: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. We identified driver somatic mutations in cancer genes including EGFR, KRAS, NRAS, BRAF, PIK3CA, MET and CTNNB1. New cancer genes, such as LMTK2, ARID1A, NOTCH2 and SMARCA4, were also suggested as candidates for novel drivers in lung adenocarcinoma. We found 45 fusion genes, 8 of which were chimeric tyrosine kinases involving ALK, RET, ROS1, FGFR2, AXL and PDGFRA. Of 17 recurrent alternative splicing events, we identified exon 14 skipping in the proto-oncogene MET as highly likely to be a cancer driver. The number of somatic mutations and expression outliers varied markedly between individual cancers and was strongly correlated with smoking history of cancer patients. In addition, we identified genomic blocks where genes were frequently up- or down-regulated together that could be explained by copy number alterations in the cancer tissue. We also found an association between lymph node metastasis and somatic mutations in TP53. Our findings broaden our understanding of lung adenocarcinoma and may also lead to new diagnostic and therapeutic approaches. * Raw data files were submitted to EBI-SRA under accession number ERP001058.
2012-09-06 | GSE40419 | GEO
Project description:The incidence of esophageal adenocarcinoma (EAC) has risen 600% over the last 30 years. With an extremely poor five-year survival rate of only 15%, identification of new therapeutic targets for EAC is of great importance. Here, we analyze the mutation spectra from the whole exome sequencing of 149 EAC tumors/normal pairs, 15 of which have also been subjected to whole genome sequencing. We identify a novel mutational signature in EACs defined by a high prevalence of A to C transversions at Ap*A dinucleotides. Statistical analysis of the exome data identified 26 genes that are mutated at a significant frequency. Of these 26 genes, only four (TP53, CDKN2A, SMAD4, and PIK3CA) have been previously implicated in EAC. The novel significantly mutated genes include several chromatin modifying factors and candidate contributors to EAC: SPG20, TLR4, ELMO1, and DOCK2. Notably, functional analyses of EAC-derived mutations in ELMO1 increase cellular invasion. Therefore, we suggest a new hypothesis about the potential activation of the RAC1 pathway to be a contributor to EAC tumorigenesis. The study aimed to analyze 150 primary, human esophageal adenocarcinoma samples by whole genome and whole exome sequencing (which will be deposited to dbGAP following the TCGA practice). RNA expression data was used to determine gene expression in 14 of the samples analyzed by whole genome sequencing. No normals were analyzed.
2013-02-11 | E-GEOD-42363 | biostudies-arrayexpress
Project description:<p>Version 1</p> <p>Whole genome sequencing was applied to tumor and adjacent normal lung tissue in an individual non-small-cell lung cancer patient. We present an analysis of somatic changes identified throughout the tumor genome, including single-nucleotide variants, copy number variants, and large-scale chromosomal rearrangements. Over 50,000 high-confidence single-nucleotide variants were identified, revealing evidence of substantial smoking-related DNA damage as well as distinct mutational pressures within the tumor resulting in uneven distribution of somatic mutations across the genome.</p> <p>Version 2</p> <p>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. Overall, our data show that cell line models exhibit similar mutation spectra to human tumor samples. Smoker and never-smoker cancer samples exhibit distinguishable patterns of mutations. A number of epigenetic regulators are frequently altered by mutations or copy number changes. A systematic survey of splice-site mutations identified over 100 splice site mutations associated with cancer specific aberrant splicing, including mutations in several known cancer-related genes. Differential usages of splice isoforms were also studied. Taken together, these data present a comprehensive genomic landscape of a large number of lung cancer samples and further demonstrate that cancer specific alternative splicing is a widespread phenomenon that has potential utility as therapeutic biomarkers.</p>
| phs000299 | dbGaP
Project description:aCGH data was used in Paradigm analysis for exploration of networks affected by copy number and gene expression changes based on mutation spectra of recurrently mutated genes in breast cancer.
2012-06-21 | GSE35189 | GEO
Project description:Expression data was used in Paradigm analysis for exploration of networks affected by copy number and gene expression changes based on mutation spectra of recurrently mutated genes in breast cancer.
2012-06-21 | GSE35186 | GEO
Project description:Nucleotide sequence accession number
The nucleotide sequence of Escherichia virus EcS1 was
deposited in the DDBJ database under accession number
LC371242.
2019-10-23 | PXD011454 | JPOST Repository
Project description:Next-generation sequencing has revolutionized cancer biology by accelerating the unbiased discovery of novel mutations across human cancers. Transforming such discoveries into a conceptual framework of cancer progression requires narrowing the vast number of mutations down to the driver elements, and further reducing these to mutations that govern cancer progression as opposed to tumor initiation. By integrating next-generation RNA-sequencing (RNA-seq) with in vivo selection, we devise an approach that identifies a series of novel recurrent non-synonymous amino acid mutations that are enriched in metastatic breast cancer cells and predicted to significantly alter protein function. These mutations, found in PANX1, RBFA, REST, KRIT1 and ZSWIM6, are detected at higher frequencies in the transcriptomes of two patientsâ highly metastatic sub-lines relative to their poorly metastatic parental lines. We functionally characterize the cellular and molecular roles of one of these mutationsâa nonsense alteration that yields a truncated pannexin-1 (PANX11-89) plasma membrane megachannel subunitâin metastatic progression. PANX11-89 interacts with full-length PANX1 and augments PANX1 channel activity to promote the survival of cancer cells as they are mechanically deformed. Protection from deformation-induced cell death requires PANX1 channels to release ATP, which acts as a cell autonomous survival signal during mechanical stress. Functional characterization of additional nonsense and missense PANX1 mutations detected in epithelial cancers of the colon, lung, and prostate reveals that these mutants also enhance PANX1-mediated ATP release. In vivo testing of one such truncating mutation detected in a metastatic colorectal tumor also enhances early survival, dissemination and liver metastatic colonization by human colon cancer cells. Finally, pharmacological inhibition of PANX1 inhibits breast cancer metastasis, implicating PANX1 as a novel therapeutic target in cancer. Our findings reveal that ATP release through mechanosensitive PANX1 channels enables cancer cells to overcome a major metastasis suppressive barrier—deformation-induced death in the microvasculature. To systematically identify base-pair mutations present in metastatic cells that may drive cancer progression, we performed whole-transcriptome RNA-sequencing (RNA-seq) of in vivo-selected, highly metastatic human breast cancer cell sub-lines, CN-LM1A and MDA-LM2, as well as the CN34 and MDA-MB-231 parental lines from which they were derived. To minimize the false positive rate and allow for subsequent statistical analysis, we sequenced biological replicates of each cell line. Mutations conferring enhanced metastatic capacity should be enriched in the transcriptomes of highly metastatic cells relative to their less metastatic parental populations.
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2012-07-01 | GSE36868 | GEO
Project description:Expression data was used in Paradigm analysis for exploration of networks affected by copy number and gene expression changes based on mutation spectra of recurrently mutated genes in breast cancer. cohort of 124 total patients arrayed and analyzed.
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