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Home › Dataset Library › Transcription profiling of human primary gastric cancer expression profiles (UK Patient Cohort)

Dataset: Transcription profiling of human primary gastric cancer expression profiles (UK Patient Cohort)

Genome-wide mRNA expression profiles of 31 primary gastric tumors from the UK patient cohort. Gastric cancer (GC) is the second leading...

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Genome-wide mRNA expression profiles of 31 primary gastric tumors from the UK 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. We used an in silico strategy based on gene expression signatures and connectivity analytics to map patterns of oncogenic pathway activation in 25 unique GC cell lines, and in 301 primary gastric cancers from three independent patient cohorts. Of 11 oncogenic pathways previously implicated in GC, we identified three predominant pathways (proliferation/stem cell, NF-kB, and Wnt/b-catenin) deregulated in the majority (>70%) of gastric tumors. Using a variety of proliferative, Wnt, and NF-kB-related assays, we experimentally validated the pathway predictions in multiple GC cell lines showing similar pathway activation patterns in vitro. Patients stratified at the level of individual pathways did not exhibit consistent differences in clinical outcome. However, patients grouped by oncogenic pathway combinations demonstrated robust and significant survival differences (e.g., high proliferation/high NF-kB vs. low proliferation/low NF-kB), suggesting that tumor behavior in GC is likely influenced by the combined effects of multiple oncogenic pathways. Our results demonstrate that GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Experiment Overall Design: Profiling of 31 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Array Set HG-U133A. All tumors were collected with approvals from the St James's University Hospital, United Kingdom and the Research Ethics Review Committee.

Species:
human

Samples:
31

Source:
E-GEOD-15456

Updated:
Dec.12, 2014

Registered:
Jun.19, 2014


Factors: (via ArrayExpress)
Sample
GSE15456GSM387757
GSE15456GSM387758
GSE15456GSM387759
GSE15456GSM387760
GSE15456GSM387761
GSE15456GSM387762
GSE15456GSM387763
GSE15456GSM387764
GSE15456GSM387765
GSE15456GSM387766
GSE15456GSM387767
GSE15456GSM387768
GSE15456GSM387769
GSE15456GSM387770
GSE15456GSM387771
GSE15456GSM387772
GSE15456GSM387773
GSE15456GSM387774
GSE15456GSM387775
GSE15456GSM387776
GSE15456GSM387777
GSE15456GSM387778
GSE15456GSM387779
GSE15456GSM387780
GSE15456GSM387781
GSE15456GSM387782
GSE15456GSM387783
GSE15456GSM387784
GSE15456GSM387785
GSE15456GSM387786
GSE15456GSM387787

Tags

  • cancer
  • cell
  • genome
  • stem cell

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