Human esophageal adenocarcinomas
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE19417 | GEO | 2010/06/01
SECONDARY ACCESSION(S): PRJNA121735
REPOSITORIES: GEO
Similar Datasets
Project description:The incidence of esophageal and junctional adenocarcinoma has increased 6 fold in the last 30 years and 5 year survival remains less than 14%. Most patients present with advanced disease and current staging is limited in its ability to predict survival. We aimed to generate and validate a molecular prognostic signature for esophageal adenocarcinoma. Gene expression profiling was performed and the resulting signatures correlated with clinical features for 91 snap frozen esophageal and junctional resection specimens. Gene expression profiles were obtained from 76/91 of the samples (82%). 119 genes were significantly associated with survival and 270 genes with the number of involved lymph nodes. Three genes were prognostic at the protein level in the external validation dataset. This three gene signature outperformed all the pathological features at predicting survival in this independent cohort (p<0.001). Total RNA isolated from human tissue sections was used to make fluorescently labeled cRNA that was hybridized to DNA oligonucleotide. Briefly, 4 µg of total RNA was used to synthesize dsDNA through reverse transcription. cRNA was produced by in vitro transcription and labeled postsynthetically with Cy3 or Cy5. Two populations of labeled cRNA, a reference population and an experimental population, were compared with each other by competitive hybridization to microarrays. Two hybridizations were done with each cRNA sample pair using a fluorescent dye reversal strategy. Human microarrays contained oligonucleotide probes corresponding to approximately 21,000 genes. All oligonucleotide probes on the microarrays were synthesized in situ with inkjet technology (Agilent Technologies, Palo Alto, CA). After hybridization, arrays were scanned and fluorescence intensities for each probe were recorded. Ratios of transcript abundance (experimental to control) were obtained following normalization and correction of the array intensity data. Gene expression data analysis was done with the Rosetta Resolver gene expression analysis software (version 7.0, Rosetta Biosoftware, Seattle, WA).
2010-06-01 | E-GEOD-19417 | biostudies-arrayexpress
Project description:The incidence of esophageal and junctional adenocarcinoma has increased 6-fold in the west in the last 30 years and 5 year survival remains <14%. We aimed to characterize genome-wide aberrations in esophageal adenocarcinoma to further understand disease pathogenesis and ultimately identify groups with differential survivals with implications for clinical management. Oligo-array-based high-resolution analysis of copy number changes in 89 fresh frozen esophageal adenocarcinoma resection sections with long-term clinical follow-up data was performed. Good quality array comparative genomic hybridization profiles were obtained from 56/89 of the samples (63%). Our analyses confirmed known genomic aberrations in esophageal adenocarcinoma and identified 3 novel genomic regions with copy number changes. A modified T test with adjusted Bonferroni correction identified 17 genes with significantly different log2 ratios (p<4x10-7), including 6 novel genes, that characterize a group with a poorer survival.
2011-02-01 | GSE20154 | GEO
Project description:The incidence of esophageal and junctional adenocarcinoma has increased 6-fold in the west in the last 30 years and 5 year survival remains <14%. We aimed to characterize genome-wide aberrations in esophageal adenocarcinoma to further understand disease pathogenesis and ultimately identify groups with differential survivals with implications for clinical management. Oligo-array-based high-resolution analysis of copy number changes in 89 fresh frozen esophageal adenocarcinoma resection sections with long-term clinical follow-up data was performed. Good quality array comparative genomic hybridization profiles were obtained from 56/89 of the samples (63%). Our analyses confirmed known genomic aberrations in esophageal adenocarcinoma and identified 3 novel genomic regions with copy number changes. A modified T test with adjusted Bonferroni correction identified 17 genes with significantly different log2 ratios (p<4x10-7), including 6 novel genes, that characterize a group with a poorer survival.
2011-05-09 | GSE25201 | GEO
Project description:Despite continual efforts to rationalize a prognostic stratification of patients with esophageal adenocarcinoma (EAC) before treatment, current staging system only shows limited success owing to the lack of molecular and genetic markers that reflect prognostic features of the tumor. To develop molecular predictors of prognosis, we used systems-level characterization of tumor transcriptome. Using DNA microarray, genome-wide gene expression profiling was performed on 75 biopsy samples from patients with untreated EAC. Various statistical and informatical methods were applied to gene expression data to identify potential biomarkers associated with prognosis. Potential marker genes were validated in an independent cohort using quantitiative RT-PCR to measure gene expression. Distinct subgroups of EAC were uncovered by systems-level characterization of tumor transcriptome. We also identified a six-gene expression signature that could be used to predict overall survival (OS) of EAC patients. In particular, expression of SPARC and SPP1 was a strong independent predictor of OS, and a combined gene expression signature with these two genes was associated with prognosis (P < 0.024), even when all relevant pathological variables were considered together in multivariate Cox hazard regression analysis. Our findings suggest that molecular features reflected in gene expression signatures may dictate the prognosis of EAC patients, and these gene expression signatures can be used to predict the likelihood of prognosis at the time of diagnosis and before treatment. 64 primary esophageal adenocarcinoma, 15 Barrett's esophagus and 28 surrounding normal fresh frozen tissues were used for microarray. All the tissues were obtained after curative resection after pathologic confirm at UT M.D. Anderson Cancer Center (MDACC). Microarray experiment and data analysis were done in the Dept. of systems biology at MDACC DNA microarray (Illumina human V2)
2011-01-04 | E-GEOD-13898 | biostudies-arrayexpress
Project description:The incidence of esophageal and junctional adenocarcinoma has increased 6-fold in the west in the last 30 years and 5 year survival remains <14%. We aimed to characterize genome-wide aberrations in esophageal adenocarcinoma to further understand disease pathogenesis and ultimately identify groups with differential survivals with implications for clinical management. Oligo-array-based high-resolution analysis of copy number changes in 89 fresh frozen esophageal adenocarcinoma resection sections with long-term clinical follow-up data was performed. Good quality array comparative genomic hybridization profiles were obtained from 56/89 of the samples (63%). Our analyses confirmed known genomic aberrations in esophageal adenocarcinoma and identified 3 novel genomic regions with copy number changes. A modified T test with adjusted Bonferroni correction identified 17 genes with significantly different log2 ratios (p<4x10-7), including 6 novel genes, that characterize a group with a poorer survival. Total DNA isolated from human tissue sections was used to make fluorescently labeled DNA that was hybridized to Illumina HumanCytoSNP-12 Beadarray. All protocols were carried out following Illumina's standard protocols. After hybridization, raw data were recorded and normalized using Illumina's BeadStudio software v2.0. Matched expression data: GSE25201 GSE19417 D2 MRC/OEA0022CJ5 (GSM482819) D3 MRC/OEA0032CJ5 (GSM482817) D27 MRC/OEA0272CJ1 (GSM482814) D36 MRC/OEA0362CJ3 (GSM482806) D37 MRC/OEA0372AJ0 (GSM482800) D96 MRC/OEA0962BJ0 (GSM482847) D118 MRC/OEA1172CJ1 (GSM482848) D138 MRC/OEA1382CJ0 (GSM482844) D156 MRC/OEA1562CJ2 (GSM482853)
2011-05-09 | E-GEOD-25201 | biostudies-arrayexpress
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
2022-01-01 | E-MTAB-10003 | biostudies-arrayexpress
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
2022-01-01 | E-MTAB-10004 | biostudies-arrayexpress
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
2022-01-01 | E-MTAB-10005 | biostudies-arrayexpress
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
2022-01-01 | E-MTAB-10002 | biostudies-arrayexpress
Project description:The incidence of esophageal and junctional adenocarcinoma has increased 6-fold in the west in the last 30 years and 5 year survival remains <14%. We aimed to characterize genome-wide aberrations in esophageal adenocarcinoma to further understand disease pathogenesis and ultimately identify groups with differential survivals with implications for clinical management. Oligo-array-based high-resolution analysis of copy number changes in 89 fresh frozen esophageal adenocarcinoma resection sections with long-term clinical follow-up data was performed. Good quality array comparative genomic hybridization profiles were obtained from 56/89 of the samples (63%). Our analyses confirmed known genomic aberrations in esophageal adenocarcinoma and identified 3 novel genomic regions with copy number changes. A modified T test with adjusted Bonferroni correction identified 17 genes with significantly different log2 ratios (p<4x10-7), including 6 novel genes, that characterize a group with a poorer survival. Total RNA isolated from human tissue sections was used to make fluorescently labeled cRNA that was hybridized to DNA oligonucleotide. Briefly, 4 µg of total RNA was used to synthesize dsDNA through reverse transcription. cRNA was produced by in vitro transcription and labeled postsynthetically with Cy3 or Cy5. Two populations of labeled cRNA, a reference population and an experimental population, were compared with each other by competitive hybridization to microarrays. Two hybridizations were done with each cRNA sample pair using a fluorescent dye reversal strategy. Human microarrays contained oligonucleotide probes corresponding to approximately 21,000 genes. All oligonucleotide probes on the microarrays were synthesized in situ with inkjet technology (Agilent Technologies, Palo Alto, CA). After hybridization, arrays were scanned and fluorescence intensities for each probe were recorded. Ratios of transcript abundance (experimental to control) were obtained following normalization and correction of the array intensity data. Gene expression data analysis was done with the Rosetta Resolver gene expression analysis software (version 7.0, Rosetta Biosoftware, Seattle, WA).
2011-02-01 | E-GEOD-20154 | biostudies-arrayexpress