Genome-scale DNA methylation profiling of lung adenocarcinoma: validation using Ontario Tumor Bank samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE32866 | GEO | 2012/03/21
SECONDARY ACCESSION(S): PRJNA154395
REPOSITORIES: GEO
Similar Datasets
Project description:The independent population of lung adenocarcinoma and adjacent non-tumor lung used for verification of the EDRN/Canary Foundation study 28 lung adenocarcinoma and 27 adjacent non-tumor lung fresh frozen tissues were macrodissected, bisulfite treated and analyzed on the Illumina Infinium HumanMethylation27K BeadChip
2012-03-21 | E-GEOD-32866 | biostudies-arrayexpress
Project description:Lung cancer is the leading cause of cancer death worldwide and adenocarcinoma is its most common histological subtype. Clinical and molecular evidence indicates that lung adenocarcinoma is a heterogeneous disease, which has important implications for treatment. Here we performed genome-scale DNA methylation profiling using the Illumina Infinium HumanMethylation27 platform on 59 matched lung adenocarcinoma/non-tumor lung samples, with genome-scale verification on an independent set of tissues. We identified 766 genes showing altered DNA methylation between tumors and non-tumor lung. By integrating DNA methylation and mRNA expression data, we identified 164 hypermethylated genes showing concurrent downregulation, and 57 hypomethylated genes showing increased expression. Integrated pathways analysis indicates that these genes are involved in cell differentiation, epithelial to mesenchymal transition, RAS and WNT signaling pathways and cell cycle regulation, among others. Comparison of DNA methylation profiles between lung adenocarcinomas of current and never-smokers showed modest differences, identifying only LGALS4 as significantly hypermethylated and downregulated in smokers. LGALS4, encoding a galactoside-binding protein involved in cell-cell and cell-matrix interactions, was recently shown to be a tumor-suppressor in colorectal cancer. Unsupervised analysis of the DNA methylation data identified two tumor subgroups, one of which showed increased DNA methylation and was significantly associated with KRAS mutation and to a lesser extent, with smoking. Our analysis lays the groundwork for further molecular studies of lung adenocarcinoma by providing new candidate DNA methylation biomarkers for early detection, identifying novel molecular alterations potentially involved in lung adenocarcinoma development/progression, and describing an epigenetic subgroup of lung adenocarcinoma associated with KRAS mutation. 59 lung adenocarcinoma and 59 adjacent non-tumor lung tissue were macrodissected, bisulfite treated and analyzed on the Illumina Infinium HumanMethylation27K BeadChip
2012-03-21 | E-GEOD-32861 | biostudies-arrayexpress
Project description:Gene expression profiling of 60 lung adenocarcinoma tumors and their matched histologically normal adjacent lung tissue samples were analyzed using Illumina HumanWG-6 v3.0 expression beadchip. We integrated these data with DNA methylation profiles of the same samples to identify potential DNA methylation regulated genes. Lung cancer is the leading cause of cancer death worldwide and adenocarcinoma is its most common histological subtype. Clinical and molecular evidence indicates that lung adenocarcinoma is a heterogeneous disease, which has important implications for treatment. Here we performed genome-scale DNA methylation profiling using the Illumina Infinium HumanMethylation27 platform on 59 matched lung adenocarcinoma/non-tumor lung samples, with genome-scale verification on an independent set of tissues. We identified 766 genes showing altered DNA methylation between tumors and non-tumor lung. By integrating DNA methylation and mRNA expression data, we identified 164 hypermethylated genes showing concurrent downregulation, and 57 hypomethylated genes showing increased expression. Integrated pathways analysis indicates that these genes are involved in cell differentiation, epithelial to mesenchymal transition, RAS and WNT signaling pathways and cell cycle regulation, among others. Comparison of DNA methylation profiles between lung adenocarcinomas of current and never-smokers showed modest differences, identifying only LGALS4 as significantly hypermethylated and downregulated in smokers. LGALS4, encoding a galactoside-binding protein involved in cell-cell and cell-matrix interactions, was recently shown to be a tumor-suppressor in colorectal cancer. Unsupervised analysis of the DNA methylation data identified two tumor subgroups, one of which showed increased DNA methylation and was significantly associated with KRAS mutation and to a lesser extent, with smoking. Our analysis lays the groundwork for further molecular studies of lung adenocarcinoma by providing new candidate DNA methylation biomarkers for early detection, identifying novel molecular alterations potentially involved in lung adenocarcinoma development/progression, and describing an epigenetic subgroup of lung adenocarcinoma associated with KRAS mutation. 58 lung adenocarcinoma and 58 adjacent non-tumor lung fresh frozen tissues were macrodissected, and total RNA was isolated to be analyzed using the Illumina HumanWG-6 v3.0 expression beadchip.
2012-03-21 | E-GEOD-32863 | biostudies-arrayexpress
Project description:Lung cancer is the leading cause of cancer death worldwide and adenocarcinoma is its most common histological subtype. Clinical and molecular evidence indicates that lung adenocarcinoma is a heterogeneous disease, which has important implications for treatment. Here we performed genome-scale DNA methylation profiling using the Illumina Infinium HumanMethylation27 platform on 59 matched lung adenocarcinoma/non-tumor lung samples, with genome-scale verification on an independent set of tissues. We identified 766 genes showing altered DNA methylation between tumors and non-tumor lung. By integrating DNA methylation and mRNA expression data, we identified 164 hypermethylated genes showing concurrent downregulation, and 57 hypomethylated genes showing increased expression. Integrated pathways analysis indicates that these genes are involved in cell differentiation, epithelial to mesenchymal transition, RAS and WNT signaling pathways and cell cycle regulation, among others. Comparison of DNA methylation profiles between lung adenocarcinomas of current and never-smokers showed modest differences, identifying only LGALS4 as significantly hypermethylated and downregulated in smokers. LGALS4, encoding a galactoside-binding protein involved in cell-cell and cell-matrix interactions, was recently shown to be a tumor-suppressor in colorectal cancer. Unsupervised analysis of the DNA methylation data identified two tumor subgroups, one of which showed increased DNA methylation and was significantly associated with KRAS mutation and to a lesser extent, with smoking. Our analysis lays the groundwork for further molecular studies of lung adenocarcinoma by providing new candidate DNA methylation biomarkers for early detection, identifying novel molecular alterations potentially involved in lung adenocarcinoma development/progression, and describing an epigenetic subgroup of lung adenocarcinoma associated with KRAS mutation.
2012-03-21 | GSE32861 | GEO
Project description:We investigate tRF and tiRNA profiles in lung adenocarcinoma and adjacent tissues using a NextSeq system. Total RNA was extracted from tissues and pretreated to remove the RNA modifications. In patients with lung adenocarcinoma, 338 types of tRFs and tiRNAs were detected via sequencing, 284 of which were not previously reported. Compared with the adjacent tissues, 17 types of tRFs and tiRNAs comprising 34 subtypes were found to be abnormally expressed in lung adenocarcinoma tissues, 20 of which were upregulated and 14 of which were downregulated. Finally, we show that tRF and tiRNA profiles in lung adenocarcinoma and adjacent tissues and identify several dysregulated tRFs and tiRNAs.
2021-05-19 | GSE168270 | GEO
Project description:Genome wide gene expression profiling of lung adenocarcinoma and non-tumor adjacent tissues. The Agilent microarray was used to obtain gene expression profiles. Samples included eight lung cancer and adjacent non-tumor tissues excised from a cohort of 8 patients with lung adenocarcinoma.
2017-03-09 | GSE85841 | GEO
Project description:Genome wide DNA methylation profiling of lung adenocarcinoma and non-tumor adjacent tissues. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles. Samples included eight lung cancer and adjacent non-tumor tissues excised from a cohort of 8 patients with lung adenocarcinoma.
2016-12-01 | GSE85845 | GEO
Project description:To determine the circRNA expression profile in lung adenocarcinoma compared with adjacent normal tissues, we used circRNA microArray analysis form Arraystar to examine the expression of circRNAs in lung adenocarcinoma compared with adjacent normal tissues
2023-11-12 | GSE161348 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE32861: Genome-scale analysis of DNA methylation in lung adenocarcinoma and integration with mRNA expression GSE32863: Gene expression analysis of lung adenocarcinoma and matched adjacent non-tumor lung tissue GSE32866: Genome-scale DNA methylation profiling of lung adenocarcinoma: validation using Ontario Tumor Bank samples Refer to individual Series
2012-03-21 | E-GEOD-32867 | biostudies-arrayexpress
Project description:Genome wide lncRNA and mRNA expression profiling of lung adenocarcinoma and non-tumor adjacent tissues. The Agilent microarray was used to obtain gene expression profiles. Samples included eight lung cancer and adjacent non-tumor tissues excised from a cohort of 8 patients with lung adenocarcinoma.
2019-05-07 | GSE130779 | GEO