Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA374045 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide DNA methylation study in lung cancer and paired normal lung with well-documented asbestos exposure
2017-07-24 | GSE94785 | GEO
Project description:To identify gene expression biomarkers associated with asbestos-related lung adenocarcinoma, we analyzed primary tumour gene expression for a total of 36 primary lung adenocarcinomas on 22,323 element microarrays, comparing 12 patients with lung asbestos body counts above levels associated with urban dwelling (ARLC-AC: asbestos-related lung cancer-adenocarcinoma) with 24 patients with no asbestos bodies (NARLC-AC: non-asbestos related lung cancer-adenocarcinoma).
2010-05-28 | GSE20875 | GEO
Project description:Genome-Wide DNA Methylation Profiling of Oesophageal Cancer-Associated Myofibroblasts
| PRJNA382668 | ENA
Project description:Genome-Wide DNA Methylation Profiling of Gastric Cancer-Associated Myofibroblasts
| PRJNA382669 | ENA
Project description:Aberrant DNA methylation in Non Small Cell Lung Cancer associated fibroblasts
| PRJNA283907 | ENA
Project description:Background: Lung cancer has the highest mortality rate of all the cancers in the world and asbestos-related lung cancer is one of the leading occupational cancers. The identification of the asbestos-related molecular changes has been a topic of major research interest over the years. The aim of the current study was to identify novel asbestos-related molecular correlates by integrating miRNA expression profiling with previously obtained microarray data (aCGH and mRNA expression) from the same patient material. Results: Twelve novel asbestos-related miRNAs (over-expressed: miR-148b, miR-374a, miR-24-1*, Let-7d, Let-7e, miR-199b-5p, miR-331-3p and under-expressed: miR-939, miR-671-5p, miR-605, miR-1224-5p, miR-202) which inversely correlated with target genes (e.g. GADD45A, LTBP1, FOSB, NCALD, CACNA2D2, MTSS1, EPB41L3) were identified. In addition, several known and new lung cancer-associated miRNAs were identified. DNA copy number alterations were also correlated with the deregulation of four miRNAs in lung cancer. The importance of integrated analysis was highlighted by the interesting finding of linking of the over-expression of well known squamous cell carcinoma-associated miR-205 with the down-regulation of the gene DOK4. Conclusions: Novel deregulated miRNAs and inversely correlating expression of target genes associated with lung cancer etiology and histology were identified. In addition, DNA copy number alterations correlated with the deregulation of some of the miRNAs. The results of the current study could have potential diagnostic implications, but require further investigation. Methods: The patient material used in the study consisted of 26 tumour and normal lung tissue from highly asbestos-exposed (13 samples) and non-exposed (13 samples) patients. Control lung tissue samples were obtained from 7 patients without cancer as well as from a commercial lung tissue RNA. Data analysis on miRNA expression and integration of miRNA and mRNA data were performed using Chipster (http://chipster.csc.fi/). In addition, miRNA and aCGH data were integrated in a separate analysis. *** This submission represents the microRNA component of the study
2011-04-30 | E-GEOD-25508 | biostudies-arrayexpress
Project description:To identify gene expression biomarkers associate with asbestos-related lung squamous cell carcinoma, we analyzed gene expression profiles for a total of 56 lung squamous cell carcinomas using 44K Illumina Gene Expression microarrays. Twenty-six cases had lung asbestos body counts above levels associated with urban dwelling (ARLC-SCC: asbestos-related lung cancer-squamous cell carcinoma) and 30 cases had no lung asbestos bodies (NARLC-SCC: non-asbestos related lung cancer- squamous cell carcinoma). Genes differentially expressed between ARLC-SCC and NARLC-SCC were identified on fold change and P-value, and then prioritised using gene ontology. Total RNA was obtained from fresh frozen lung tumour tissue and stratified by asbestos phenotype. Gene expression profiling was performed to identify differences in the gene profiles of asbestos-related and non-asbestos related lung squamous cell carcinomas.
2012-01-30 | E-GEOD-23822 | biostudies-arrayexpress
Project description:To identify gene expression biomarkers associated with asbestos-related lung adenocarcinoma, we analyzed primary tumour gene expression for a total of 36 primary lung adenocarcinomas on 22,323 element microarrays, comparing 12 patients with lung asbestos body counts above levels associated with urban dwelling (ARLC-AC: asbestos-related lung cancer-adenocarcinoma) with 24 patients with no asbestos bodies (NARLC-AC: non-asbestos related lung cancer-adenocarcinoma). To identify gene expression biomarkers associated with asbestos-related lung tumorigenicity, we performed gene expression array analysis on tumours of 36 patients with primary lung adenocarcinoma, comparing twelve patients with lung asbestos body counts above levels associated with urban dwelling (ARLC-AC: asbestos-related lung cancer-adenocarcinoma) with twenty-four patients with no asbestos bodies (NARLC-AC: non-asbestos related lung cancer-adenocarcinoma). Synthesis of the labelled first strand cDNA was conducted using Amersham CyScribe Post-Labelling kit with starting material of 20 ug of total RNA. The amino-allyl labeled dNTP mix was added to the reaction to generate amino-allyl labelled second strand cDNA. Following the hydrolysis reaction, single-stranded cDNA probes were purified using Amersham GFX columns. Dye coupling reactions were performed by mixing the cDNA samples with Amersham Cy3 (reference) or Cy5 (tumour) and incubating in the dark. The reactions were purified with Amersham GFX columns to remove the unincorporated/quenched dyes. After the purification samples were combined for hybridization, the labeled cDNAs were co-hybridized to 22K oligo microarrays. Slides were scanned on GMS418 confocal scanner (Agilent). Genes differentially expressed between ARLC-AC and NARLC-AC were identified on fold change and P-value, and then prioritised using gene ontology.
2010-05-28 | E-GEOD-20875 | biostudies-arrayexpress
Project description:Genome-wide DNA methylation pattern changes in basal-like breast cancer patients
| PRJNA394246 | ENA
Project description:Genome-wide DNA-methylation profiles of human lung cancer cell lines and normal lung cells
| PRJNA358606 | ENA