Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33356 | GEO | 2012/12/19

SECONDARY ACCESSION(S): PRJNA148853

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

| S-ECPF-GEOD-33356 | biostudies-other

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2012-12-19 | E-GEOD-33356 | biostudies-arrayexpress

Genome-wide screening of transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:Although smoking is the major risk factor for lung cancer, only 7% of female lung cancer patients in Taiwan have a history of cigarette smoking, extremely lower than those in Caucasian females. This report is a comprehensive analysis of the molecular signature of non-smoking female lung cancer in Taiwan.

2011-01-30 | GSE19804 | GEO

Transcription profiling of lung cancer tumors from a female, non-smoking taiwanese population: Genome-wide screening of transcriptional modulation in non-smoking female lung cancer in Taiwan

2011-01-30 | E-GEOD-19804 | biostudies-arrayexpress

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

| PRJNA148853 | ENA

Affymetrix SNP array data for Non-Smoking Female Lung Cancer in Taiwan

Project description:Genome-Wide Screening of Genomic Alterations and Transcriptional Modulation in Non-Smoking Female Lung Cancer in Taiwan

2012-12-31 | GSE33355 | GEO

Affymetrix SNP array data for Non-Smoking Female Lung Cancer in Taiwan

Project description:Genome-Wide Screening of Genomic Alterations and Transcriptional Modulation in Non-Smoking Female Lung Cancer in Taiwan Sixty-one pairs of cancer and normal lung tissue specimens from non-smoking females were collected at National Taiwan University Hospital and Taichung Veterans General Hospital. The selection criteria of clinical specimens depend on pathology report, physical examination and cigarette-smoking history. Surgical lung tissue specimens were immediately snap-frozen in liquid N2 and stored at -80 °C. Surgical specimens would be further processed for RNA and DNA extraction. Only those samples passed quality controls were processed for gene expression profiling analysis and single nucleotide polymorphism (SNP) analysis respectively.

2012-12-31 | E-GEOD-33355 | biostudies-arrayexpress

Project description:Tobacco smoking is responsible for 85% of all lung cancers. To further our understanding of the molecular pathogenesis of lung cancer, we determined whether smoking history leads to the emergence of specific genomic alterations found in non-small cell lung cancer (NSCLC).To identify gene copy number alterations in NSCLCs associated with smoking history or DNA repair capacity.Seventy-five NSCLCs were selected for this study from patients with current, none, or past smoking history, including pack year information. Tissue sections were microdissected, and DNA was extracted, purified, and labeled by random priming before hybridization onto bacterial artificial chromosome (BAC) arrays. Normalized ratios were correlated with smoking history and DNA repair capacity was measured by an in vitro lymphocyte assay in the same patients.We identified smoking-related genomic signatures in NSCLCs that could be predicted with an overall 74% accuracy. Lung tumors arising from current-smokers had the greatest number of copy number alterations. The genomic regions most significantly associated with smoking were located within 60 regions and were functionally associated with genes controlling the M phase of the cell cycle, the segregation of chromosomes, and the methylation of DNA. Verification of the data is provided from data in the public domain and by quantitative real-time polymerase chain reaction. The associations between genomic abnormalities and DNA repair capacity did not reach statistical significance.These findings indicate that smoking history leaves a specific genomic signature in the DNA of lung tumors and suggest that these alterations may reflect new molecular pathways to cancer development.

| S-EPMC2720147 | biostudies-literature

Attitudes towards screening for lung cancer among smokers and their non-smoking counterparts.

Project description:BACKGROUND: There has been resurgence of interest in lung cancer screening using low-dose computed tomography. The implications of directing a screening programme at smokers has been little explored. METHODS: A nationwide telephone survey was conducted. Demographics, certain clinical characteristics and attitudes about screening for lung cancer were ascertained. Responses of current, former and never smokers were compared. RESULTS: 2001 people from the US were interviewed. Smokers were significantly (p < 0.05) more likely than never smokers to be male, non-white, less educated, and to report poor health status or having had cancer, and less likely to be able to identify a usual source of healthcare. Compared with never smokers, current smokers were less likely to believe that early detection would result in a good chance of survival (p < 0.05). Smokers were less likely to be willing to consider computed tomography screening for lung cancer (71.2% (current smokers) v 87.6% (never smokers) odds ratio (OR) 0.48; 95% confidence interval (CI) 0.32 to 0.71). More never smokers as opposed to current smokers believed that the risk of disease (88% v 56%) and the accuracy of the test (92% v 71%) were important determinants in deciding whether to be screened (p < 0.05). Only half of the current smokers would opt for surgery for a screen-diagnosed cancer. CONCLUSION: The findings suggest that there may be substantial obstacles to the successful implementation of a mass-screening programme for lung cancer that will target cigarette smokers.

| S-EPMC2111262 | biostudies-other

Integrated multi-omics analysis for non-smoking female lung adenocarcinoma in Xuanwei, China

Project description:Xuanwei lung cancer (XWLC) is well-known for its high incidence and mortality, especially among non-smoking female patients. However, the molecular mechanism is still unclear. Here, we performed a comprehensive transcriptomic, proteomic, and phosphoproteomic characterization of tumors and matched normal adjacent tissues from three non-smoking female XWLC patients with lung adenocarcinoma (LUAD). Integrated transcriptome and proteome analysis revealed dysregulated molecules and pathways in tumors and identified enhanced metabolic-disease coupling. Non-coding RNAs were widely involved in post-transcriptional regulatory mechanisms to coordinate the progress of LUAD, and also partially explained the molecular differences between RNA and protein expression patterns. Phosphoproteome provided evidence support for new phosphate sites, reporting the potential roles of core kinase family members and key kinase pathways involved in metabolism, immunity, as well as homeostasis. In addition, by comparing with the previous large-scale LUAD researches, we emphasized the higher degree of oxidative phosphorylation (OXPHOS) in Xuanwei LUAD, and pointed that VIPR1 deficiency aggravated immune dysfunction. Overall, our integrated multi-omics analysis provided a powerful resource for a systematic understanding of the molecular structure of XWLC and proposed therapeutic opportunities based on redox metabolism and immune cell infiltration.

2024-01-03 | GSE165298 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data