Similar studies for GEO DataSets (Select 200014210) - GEO DataSets

(Submitter supplied) This study was conducted to identify transcriptional profiles predictive of a clinical response of metastatic gastric cancer patients to cisplatin and fluorouracil (CF) combination chemotherapy.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL571
123 Samples

Download data: CEL, TXT

Series

Accession:: GSE14208

ID:: 200014208

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000300704.

Gastric cancer: cancer vs. normal, chemoresistance signature that correlates with time to progression of disease

(Submitter supplied) microRNA profiling of gastric cancer vs. normal, pre-/-post CF (cisplatin/fluorouracil) chemotherapy. Biopsy samples were collected prior to chemotherapy from 90 gastric cancer patients treated with CF and from 34 healthy volunteers. At the time of disease progression, post-treatment samples were collected from 8 clinical responders. miRNA expression was determined using a custom-designed Agilent microarray. more...

Organism:: Homo sapiens

Type:: Non-coding RNA profiling by array

Platform:: GPL13742
132 Samples

Download data: TXT

Series

Accession:: GSE30070

ID:: 200030070

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Select item 2000358095.

Gastric Cancer Subtyping (Australian Patient Cohort)

(Submitter supplied) Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS4198
Platform:: GPL570
70 Samples

Download data: CEL

Series

Accession:: GSE35809

ID:: 200035809

Select item 2000349426.

Gastric cancer subtyping (Singapore Patient Cohort, batch B)

(Submitter supplied) Genome-wide mRNA expression profiles of 56 primary gastric tumors from the Singapore patient cohort, batch B. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
56 Samples

Download data: CEL, XLS

Series

Accession:: GSE34942

ID:: 200034942

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Select item 2000311687.

Genetic Landscape of Copy Number Alterations in Gastric Cancer

(Submitter supplied) Genome-wide DNA copy number profiling of gastric tumors and matched non-maligant samples. The affymetrix SNP6 array was used to obtain DNA copy number profiles in 193 gastric tumors and 98 matched gastric non-malignant samples.

Organism:: Homo sapiens

Type:: Genome variation profiling by SNP array

Platform:: GPL6801
291 Samples

Download data: CEL, CNCHP

Series

Accession:: GSE31168

ID:: 200031168

PubMed Full text in PMC Similar studies

Select item 2000306018.

Epigenetic analysis of gastric cancer

(Submitter supplied) Genome-wide DNA methylation profiling of gastric tumors and matched gastric non-malignant samples. The Illumina HumanMethylation27 BeadChip was used to obtain DNA methylation profiles across 27,578 CpGs in 203 gastric tumors and 94 matched non-malignant gastric samples.

Organism:: Homo sapiens

Type:: Methylation profiling by array

Platform:: GPL8490
297 Samples

Download data: TXT

Series

Accession:: GSE30601

ID:: 200030601

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Select item 2000221839.

GEMINI (Gastric Encyclopedia of Molecular Interactions and Nodes for Intervention) : 37 unique Gastric cancer cell lines

(Submitter supplied) Genome-wide mRNA expression profiles of 37 unique gastric cancer cell lines (GCCLs). Keywords: gastric cancer, cell culture

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
37 Samples

Download data: CEL

Series

Accession:: GSE22183

ID:: 200022183

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Select item 20001545910.

Gastric Cancer Project '08 (Singapore Patient Cohort)

(Submitter supplied) Genome-wide mRNA expression profiles of 200 primary gastric tumors from the Singapore patient cohort. Gastric cancer (GC) is the second leading cause of global cancer mortality, with individual gastric tumors displaying significant heterogeneity in their deregulation of various oncogenic pathways. We aim to identify major oncogenic pathways in GC that robustly impact patient survival and treatment response. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
200 Samples

Download data: CEL, XLS

Series

Accession:: GSE15459

ID:: 200015459

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Select item 419811.

Australian patient cohort: gastric adenocarcinoma

Analysis of 70 primary gastric tumors representing 3 subtypes (invasive, metabolic, and proliferative) from the Australian patient cohort (AU-2). Gastric adenocarcinomas show sizable heterogeneity between patients. Results provide insight into molecular characterization of gastric cancer subtypes.

Organism:: Homo sapiens

Type:: Expression profiling by array, transformed count, 3 disease state sets

Platform:: GPL570
Series:: GSE35809
70 Samples

Download data: CEL

DataSet

Accession:: GDS4198

ID:: 4198

Select item 20002949912.

Epigenetic analysis of gastric cancer cell lines

(Submitter supplied) Genome wide DNA methylation profiling of gastric cancer cell lines. The Illumina Goldengate DNA methylation Beadchip was used to obtain DNA methylation profiles across 1,505 CpG CpGs in 20 gastric cancer cell lines.

Organism:: Homo sapiens

Type:: Methylation profiling by array

Platform:: GPL9183
40 Samples

Download data: TXT

Series

Accession:: GSE29499

ID:: 200029499

Select item 20018313613.

Development and Validation of a Prognostic and Predictive 32-Gene Signature for Gastric Cancer

(Submitter supplied) Genomic profiling can provide prognostic and predictive information to guide clinical care. Biomarkers that reliably predict patient response to chemotherapy and immune checkpoint inhibition in gastric cancer are lacking. In this retrospective analysis, we use our machine learning algorithm NTriPath [Park, Sunho et al. “An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types.” Bioinformatics (2016): 1643-51. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6947
135 Samples

Download data: TXT

Series

Accession:: GSE183136

ID:: 200183136

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20018433614.

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different ferroptosis-related-scores

(Submitter supplied) Gastric cancer is one of the leading causes of cancer mortality worldwide. We compared transcriptomic profiles of gastric cancer with different ferroptosis-related-scores to identify the prognostic significance of ferroptosis-related-score in gastric cancer.

Organism:: Homo sapiens

Type:: Expression profiling by high throughput sequencing

Platform:: GPL11154
461 Samples

Download data: TXT

Series

Accession:: GSE184336

ID:: 200184336

PubMed Full text in PMC Similar studies Analyze with GEO2R SRA Run Selector

Select item 20017925215.

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different tumour-stroma-scores

(Submitter supplied) Gastric cancer is one of the leading causes of cancer mortality worldwide. We compared transcriptomic profiles of advanced gastric cancer with different tumour-stroma-scores to identify the prognostic significance of tumour-stroma-score in advanced gastric cancer.