F1dd6e96-9fd5-445e-98fb-ba6d41d8966a - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001008955 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Genomic study of lung adenocarcinoma in young never-smokers
| PRJEB23826 | ENA
Project description:24 SAGE libraries comprising of 8 current smokers, 12 former smokers and 4 never smokers. Keywords: SAGE, gene expression, current, former, never, smokers
2007-08-08 | GSE5473 | GEO
Project description:Lung cancer is still the leading cause of cancer death worldwide despite declining smoking prevalence in industrialised countries. Although lung cancer is highly associated with smoking status, a significant proportion of lung cancer cases develop in patients who never smoked, with an observable bias towards female never smokers. A better understanding of lung cancer heterogeneity and immune system involvement during tumour evolution and progression in never smokers is therefore highly warranted. We employed single nucleus transcriptomics of surgical lung adenocarcinoma (LADC) and normal lung tissue samples from patients with or without smoking history. Immune cells as well as fibroblasts and endothelial cells respond to tobacco smoke exposure by inducing a highly inflammatory state in normal lung tissue. In the presence of LADC, we identified differentially expressed transcriptional programmes in macrophages and cancer-associated fibroblasts, providing insight into how the niche favours tumour progression. Within tumours, we distinguished eight subpopulations of neoplastic cells in female smokers and never smokers. Through pseudotemporal ordering, we inferred a trajectory towards two differentiated tumour cell states implicated in cancer progression and invasiveness. A proliferating cell population sustaining tumour growth exhibits differential immune modulating signatures in both patient groups. Our results resolve cellular heterogeneity and immune interactions in LADC, with a special emphasis on female never smokers and implications for the design of therapeutic approaches.
| EGAS00001006331 | EGA
Project description:Mutational profiling of LUAC in young never-smokers
| PRJEB23833 | ENA
Project description:24 SAGE libraries comprising of 8 current smokers, 12 former smokers and 4 never smokers. Keywords: SAGE, gene expression, current, former, never, smokers Raw tag counts for each tag in each library are provided
2007-08-07 | E-GEOD-5473 | biostudies-arrayexpress
Project description:We demonstrate that miR-708 is one of the most highly overexpressed miRNAs in non-small cell lung cancer. High level of miR-708 in tumor is also associated with a reduced overall survival in lung adenocarcinomas from never smokers. Functionally, miR-708 overexpression increases the proliferation, migration, and invasion in cultured cells and down regulates TMEM88, a negative regulator of Wnt signaling. Jointly, our results support an oncogenic role of miR-708 by activating Wnt signaling pathway to promote lung cancer progression. We performed miRNA expression profiling in matched lung adenocarcinoma and uninvolved lung using 47 pairs from formalin-fixed, paraffin-embedded [FFPE] tissues from never smokers. We performed miRNA expression profiling in matched lung adenocarcinoma and uninvolved lung using 56 pairs of fresh-frozen [FF] samples from never smokers.
2012-08-02 | E-GEOD-36681 | biostudies-arrayexpress
Project description:6-plex TMT LC-MSMS quantification of proteins in myeloid progenitors (Lineage- Sca1- Kit+ cells) isolated from the bone marrow of 8-12 week old male and female control and Elp3-deficient (Elp3fl/fl vav-iCreT/+) mice. Biological triplicates of each genotype were analyzed, each consisting of 1.10e6 cells from pools of 12-14 control (Elp3fl/fl) or 26-38 (Elp3-deficient) male and female mice.
2021-01-26 | PXD010486 | Pride
Project description:Alteration of gene expression profile of target organs may signal exposure of that organ to toxic chemicals. We analyzed the transcriptome of the non-involved lung tissue, excised from 176 surgically treated lung adenocarcinoma patients, to identify genes whose expression levels were altered by individual habit to cigarette smoking. Of 17.097 genes analyzed, 357 resulted to be differentially expressed between never smokers and ever smokers (FDR <0.05). The gene that resulted to be the most significantly differentially expressed was MYO1A (FDR = 6.9 x 10-4 and ever versus never smokers fold change of 1.42). We compared our results with those of five independent datasets and found that more than one third (38.6%) of the transcripts associated with smoking habit in our dataset overlapped with at least one of the other datasets, with 7 genes (KMO, CD1A, SPINK5, TREM2, CYBB, DNASE2B, FGG) resulting significantly differentially expressed between ever and never smokers in all five datasets, with concordant higher expression in ever smokers than in never smokers. Most of the genes that we found significantly differentially expressed between ever and never smokers participate in pathways/networks that are directly or indirectly associated with immunity and inflammation, in particular, the most significantly enriched pathway was that of eicosanoid signaling. Overall, present results further points to the inflammatory condition that characterize the lung tissue of smokers.
2019-10-01 | GSE123352 | GEO
Project description:Rationale: Even after quitting smoking, the risk of the development of chronic obstructive pulmonary disease (COPD) and lung cancer remains significantly higher compared to never-smokers. Objectives: Based on the knowledge that COPD and most lung cancers start in the small airway epithelium (SAE), we hypothesized that smoking modulates miRNA expression in the SAE linked to the pathogenesis of smoking-induced airway disease, and that some of these changes persist after smoking cessation. Methods: SAE was collected from 10th to 12th order bronchi using fiberoptic bronchoscopy. Affymetrix miRNA 2.0 arrays were used to assess miRNA expression in the SAE from 10 healthy never-smokers and 10 healthy smokers, before and after they quit for 3 months. Smoking status was determined by urine nicotine and cotinine measurement. Results: There were significant differences in the expression of 34 miRNAs between healthy smokers and healthy never-smokers (p<0.01, fold-change >1.5), with functions associated with lung development, airway epithelium differentiation, inflammation and cancer. After quitting smoking for 3 months, 12 out of the 34 miRNAs did not return to normal levels, with Wnt/β-catenin signaling pathway the top enriched pathway of the target genes of the persistent deregulated miRNAs. Conclusions: In the context that many of these persistent smoking-dependent miRNAs are associated with differentiation, inflammation diseases or lung cancer, it is likely that persistent smoking-related changes in small airway epithelium miRNAs play a role in the subsequent development of these disorders. MicroRNA profiling identified 34 miRNAs up-regulated by cigarette smoking in human small airway epithelium. Even after quitting smoking for 3 months, 12 miRNAs didnât return to normal level.
2015-11-23 | E-GEOD-53519 | biostudies-arrayexpress
Project description:41 lung adenocarcinoma from never-smokers hybridized on Illumina SNP arrays on 13 HumanCNV370-Quadv3 chips. High-resolution array comparative genomic hybridization analysis of lung adenocarcinoma in 41 never smokers for identification of new minimal common regions (MCR) of gain or loss. The SNP array analysis validated copy-number aberrations and revealed that RB1 and WRN were altered by recurrent copy-neutral loss of heterozygosity.The present study has uncovered new aberrations containing cancer genes. The oncogene FUS is a candidate gene in the 16p region that is frequently gained in never smokers. Multiple genetic pathways defined by gains of MYC, deletions of RB1 and WRN or gains on 7p and 7q are involved in lung adenocarcinoma in never smokers. A 'Cartes d'Identite des Tumeurs' (CIT) project from the French National League Against Cancer (http://cit.ligue-cancer.net) 41 samples hybridized on Illumina SNP arrays. Submitter : Fabien PETEL petelf@ligue-cancer.net . Project leader : Pr Pierre FOURET pierre.fouret@psl.aphp.fr
2011-07-28 | E-TABM-1169 | biostudies-arrayexpress