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Home › Dataset Library › High expression of BMP pathway genes distinguishes a subset of Atypical Teratoid/Rhabdoid Tumors associated with shorter survival

Dataset: High expression of BMP pathway genes distinguishes a subset of Atypical Teratoid/Rhabdoid Tumors associated with shorter survival

Molecular profiling of tumors has proven a valuable tool for identification of prognostic and diagnostic subgroups in medulloblastomas,...

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Molecular profiling of tumors has proven a valuable tool for identification of prognostic and diagnostic subgroups in medulloblastomas, glioblastomas and other cancers. However, the molecular landscape of atypical teratoid / rhabdoid tumors (AT/RTs) remains largely unexplored. To address this issue, we used microarrays to measure the gene expression profiles of 18 AT/RTs, and performed unsupervised hierarchical clustering to determine molecularly similar subgroups. Four major subgroups (clusters) were identified. These did not conform to gender, tumor location, or presence of monosomy 22. Clusters showed distinct gene signatures and differences in enriched biological processes, including elevated expression of choroid plexus genes in Cluster 4. In addition, survival differed significantly by cluster, with shortest survival (mean 4.7 months) in both Clusters 3 and 4 compared to Clusters 1 and 2 (mean 28.1 months). Analysis showed that multiple bone morphogenetic protein (BMP) pathway genes were up-regulated in the short survival clusters, with BMP4 showing the most significant up-regulation (270-fold). Thus, high expression of BMP pathway genes was negatively associated with survival in this dataset. Our study indicates that molecular subgroups exist within AT/RTs, and that molecular profiling of these comparatively rare tumors may be of diagnostic, prognostic and therapeutic value. Key Words: atypical teratoid / rhabdoid tumor; bone morphogenetic protein pathway; BMP4; survival; microarray Molecular profiling of 18 AT/RT patient tumor samples was performed using Affymetrix U133 Plus2 GeneChips. Data were background corrected and normalized using gcRMA (as implemented in Bioconductor). Unsupervised agglomerative hierarchical clustering was performed to identify subsets of AT/RTs with similar gene expression. Limma (moderated t-tests; Bioconductor) was used to identify signature genes for each cluster. Bioinformatics web tool DAVID was used to identify enriched biological processes for each cluster. Survival was analyzed using Kaplan-Meier curves and Cox Hazard Ratio. Bioinformatics tools Gene Set Enrichment (GSEA) and Ingenuity Pathways Analysis were also used to gain further insight into cluster differences.

Species:
human

Samples:
18

Source:
E-GEOD-28026

Updated:
Dec.12, 2014

Registered:
Sep.15, 2014


Factors: (via ArrayExpress)
Sample STATUS TUMOR LOCATION AGE AT DIAGNOSIS (MONTHS) GENDER OVERALL SURVIVAL (MONTHS) CHROMOSOME 22 MONOSOMY
GSM692982 Alive, no evidence of disease posterior fossa 30 F 36 no
GSM692983 died of disease posterior fossa 19 F 12 unknown
GSM692984 died of disease posterior fossa 11 M 6 yes
GSM692985 died of disease posterior fossa 0 F 1 unknown
GSM692986 died of disease posterior fossa 6 F 4 no
GSM692987 died of disease posterior fossa 5 M 7 yes
GSM692988 died of disease posterior fossa 46 M 10 yes
GSM692989 died of disease posterior fossa 7 M 31 no
GSM692990 died of disease parietal / occipital lobes 33 M 16 no
GSM69299 Alive, no evidence of disease frontal lobe 17 M 42 no
GSM692992 Lost to follow-up posterior fossa 24 M Unknown yes
GSM692993 died of disease frontal lobe 38 M 6 yes
GSM692994 died of disease posterior fossa 22 F 10 ring chromosome 22
GSM692995 died of complications posterior fossa 16 M 1 unknown
GSM692996 Alive with recurrence posterior fossa 12 M 7 no
GSM692997 Alive, no evidence of disease posterior fossa 17 F 101 yes
GSM692998 died of disease posterior fossa 10 M 2 unknown
GSM692999 died of disease temporal 20 F 12 no

Tags

  • bone
  • choroid
  • plexus
  • protein
  • rts

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