SHH medulloblastoma samples
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA213744PRJNA213380PRJNA214321
PROVIDER: EGAS00001000607 | EGA |
REPOSITORIES: EGA
Publications
Genome sequencing of SHH medulloblastoma predicts genotype-related response to smoothened inhibition.
Kool Marcel M Jones David T W DT Jäger Natalie N Northcott Paul A PA Pugh Trevor J TJ Hovestadt Volker V Piro Rosario M RM Esparza L Adriana LA Markant Shirley L SL Remke Marc M Milde Till T Bourdeaut Franck F Ryzhova Marina M Sturm Dominik D Pfaff Elke E Stark Sebastian S Hutter Sonja S Seker-Cin Huriye H Johann Pascal P Bender Sebastian S Schmidt Christin C Rausch Tobias T Shih David D Reimand Jüri J Sieber Laura L Wittmann Andrea A Linke Linda L Witt Hendrik H Weber Ursula D UD Zapatka Marc M König Rainer R Beroukhim Rameen R Bergthold Guillaume G van Sluis Peter P Volckmann Richard R Koster Jan J Versteeg Rogier R Schmidt Sabine S Wolf Stephan S Lawerenz Chris C Bartholomae Cynthia C CC von Kalle Christof C Unterberg Andreas A Herold-Mende Christel C Hofer Silvia S Kulozik Andreas E AE von Deimling Andreas A Scheurlen Wolfram W Felsberg Jörg J Reifenberger Guido G Hasselblatt Martin M Crawford John R JR Grant Gerald A GA Jabado Nada N Perry Arie A Cowdrey Cynthia C Croul Sydney S Zadeh Gelareh G Korbel Jan O JO Doz Francois F Delattre Olivier O Bader Gary D GD McCabe Martin G MG Collins V Peter VP Kieran Mark W MW Cho Yoon-Jae YJ Pomeroy Scott L SL Witt Olaf O Brors Benedikt B Taylor Michael D MD Schüller Ulrich U Korshunov Andrey A Eils Roland R Wechsler-Reya Robert J RJ Lichter Peter P Pfister Stefan M SM
Cancer cell 20140301 3
Smoothened (SMO) inhibitors recently entered clinical trials for sonic-hedgehog-driven medulloblastoma (SHH-MB). Clinical response is highly variable. To understand the mechanism(s) of primary resistance and identify pathways cooperating with aberrant SHH signaling, we sequenced and profiled a large cohort of SHH-MBs (n = 133). SHH pathway mutations involved PTCH1 (across all age groups), SUFU (infants, including germline), and SMO (adults). Children >3 years old harbored an excess of downstream ...[more]
Similar Datasets
Project description:Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the transcriptomic profiles of SHH medulloblastoma samples. 73 medulloblastoma samples from patients of various ages were selected for RNA extraction and hybridization on Affymetrix Human Genome U133 Plus 2.0 Arrays.
2014-06-02 | E-GEOD-49243 | biostudies-arrayexpress
Project description:Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the DNA methylation profiles of SHH medulloblastoma samples.
2014-09-02 | GSE49576 | GEO
Project description:Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the DNA methylation profiles of SHH medulloblastoma samples. We investigated the DNA methylation profiles of 83 SHH medulloblastomas across all age groups using the Illumina 450k methylation array.
2014-09-02 | E-GEOD-49576 | biostudies-arrayexpress
Project description:Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the transcriptomic profiles of SHH medulloblastoma samples.
2014-06-02 | GSE49243 | GEO
Project description:Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the DNA methylation profiles of SHH medulloblastoma samples.
2014-09-02 | GSE49377 | GEO
Project description:Smoothened (SMO)-inhibitors recently entered clinical trials for sonic-hedgehog driven medulloblastoma (SHH-MB). Clinical response appears highly variable. To understand the mechanism(s) of primary resistance and to identify pathways co-operating with aberrant SHH-signaling, we sequenced a large cohort of SHH-MBs across all age groups by sequencing, DNA methylation and expression profiling. Our data show that most adults but only half of the pediatric patients with SHH-MB will respond to SMO inhibition as predicted by molecular analysis of the primary tumor and tested in the SHH-xenografts, demonstrating that the next generation of SMO-inhibitor trials should be based on these predictive biomarkers. To further dissect the biological differences between the different age groups within SHH medulloblastomas, we looked at the DNA methylation profiles of SHH medulloblastoma samples. We investigated the DNA methylation profiles of 46 SHH medulloblastomas across all age groups using the Illumina 450k methylation array.
2014-09-02 | E-GEOD-49377 | biostudies-arrayexpress
Project description:Purpose Integrated genomics approaches have identified at least four distinct biological variants in medulloblastoma: WNT, SHH, group C, and group D. Non-WNT/Non-SHH tumors are associated with metastatic dissemination and an unfavorable prognosis. Additional markers may enhance outcome prediction in Non-WNT/Non-SHH medulloblastomas. Experimental Design We combined transcriptomic and DNA copy-number analyses for 64 primary medulloblastomas. Bioinformatic tools were applied to discover marker genes of molecular variants. Differentially expressed transcripts were evaluated for prognostic value in the screening cohort. Immunopositivity for FSTL5 was correlated with molecular and prognostic subgroups for 235 non-overlapping medulloblastoma samples on two independent tissue microarrays (TMA). Results Unsupervised clustering analyses of transcriptome profiles confirmed four distinct molecular variants. Stable subgroup separation was achieved using only the 300 most varying transcripts. Specific distributions of clinical and molecular characteristics were noted for each cluster. Distinct expression patterns of FSTL5 in each molecular subgroup were confirmed by quantitative real-time PCR. Immunopositivity of FSTL5 identified a large cohort of patients (84 of 235 patients; 36%) at high risk for relapse and death. Importantly, over 50% of Non-WNT/Non-SHH tumors displayed FSTL5 negativity, delineating a large patient cohort with an excellent prognosis who would be considered intermediate/high-risk based on current molecular subtyping. Conclusions Comprehensive analyses of transcriptomic and genetic alterations delineate four distinct variants of medulloblastoma. The addition of FSTL5 immunohistochemistry to existing molecular stratification schemes can effectively identify those Non-WNT/Non-SHH tumors with a poor outcome. Immunohistochemical staining for FSTL5 could be a high-quality and practical tool for stratification and prognostication in future clinical trials of medulloblastoma. Whole-genome transcriptional profiling of human medulloblastomas. Subgrouping based on mRNA expression profiles. Fresh frozen tumor material was collected during tumor resection. Dye-swap design used for expression profiling. Reference was a pool of normal cerebellum tissue from 24 donors. Gene expression profiles illustrate distinct expression pattern at diagnosis. This submission represents the gene expression component of the study.
2011-07-01 | E-GEOD-28245 | biostudies-arrayexpress
Project description:Purpose Integrated genomics approaches have identified at least four distinct biological variants in medulloblastoma: WNT, SHH, group C, and group D. Non-WNT/Non-SHH tumors are associated with metastatic dissemination and an unfavorable prognosis. Additional markers may enhance outcome prediction in Non-WNT/Non-SHH medulloblastomas. Experimental Design We combined transcriptomic and DNA copy-number analyses for 64 primary medulloblastomas. Bioinformatic tools were applied to discover marker genes of molecular variants. Differentially expressed transcripts were evaluated for prognostic value in the screening cohort. Immunopositivity for FSTL5 was correlated with molecular and prognostic subgroups for 235 non-overlapping medulloblastoma samples on two independent tissue microarrays (TMA). Results Unsupervised clustering analyses of transcriptome profiles confirmed four distinct molecular variants. Stable subgroup separation was achieved using only the 300 most varying transcripts. Specific distributions of clinical and molecular characteristics were noted for each cluster. Distinct expression patterns of FSTL5 in each molecular subgroup were confirmed by quantitative real-time PCR. Immunopositivity of FSTL5 identified a large cohort of patients (84 of 235 patients; 36%) at high risk for relapse and death. Importantly, over 50% of Non-WNT/Non-SHH tumors displayed FSTL5 negativity, delineating a large patient cohort with an excellent prognosis who would be considered intermediate/high-risk based on current molecular subtyping. Conclusions Comprehensive analyses of transcriptomic and genetic alterations delineate four distinct variants of medulloblastoma. The addition of FSTL5 immunohistochemistry to existing molecular stratification schemes can effectively identify those Non-WNT/Non-SHH tumors with a poor outcome. Immunohistochemical staining for FSTL5 could be a high-quality and practical tool for stratification and prognostication in future clinical trials of medulloblastoma.
2011-07-01 | GSE28245 | GEO
Project description:Medulloblastoma encompasses a collection of clinically and molecularly diverse tumor subtypes that together comprise the most common malignant childhood brain tumor. These tumors are thought to arise within the cerebellum, with approximately 25% originating from granule neuron precursor cells (GNPCs) following aberrant activation of the Sonic Hedgehog pathway (hereafter, SHH-subtype). The pathological processes that drive heterogeneity among the other medulloblastoma subtypes are not known, hindering the development of much needed new therapies. Here, we provide evidence that a discrete subtype of medulloblastoma that contains activating mutations in the WNT pathway effector CTNNB1 (hereafter, WNT-subtype), arises outside the cerebellum from cells of the dorsal brainstem. We found that genes marking human WNT-subtype medulloblastomas are more frequently expressed in the lower rhombic lip (LRL) and embryonic dorsal brainstem than in the upper rhombic lip (URL) and developing cerebellum. Magnetic resonance imaging (MRI) and intra-operative reports showed that human WNT-subtype tumors infiltrate the dorsal brainstem, while SHH-subtype tumors are located within the cerebellar hemispheres. Activating mutations in Ctnnb1 had little impact on progenitor cell populations in the cerebellum, but caused the abnormal accumulation of cells on the embryonic dorsal brainstem that included aberrantly proliferating Zic1+ precursor cells. These lesions persisted in all mutant adult mice and in 15% of cases in which Tp53 was concurrently deleted, progressed to form medulloblastomas that recapitulated the anatomy and gene expression profiles of human WNT-subtype medulloblastoma. We provide the first evidence that subtypes of medulloblastoma have distinct cellular origins. Our data provide an explanation for the marked molecular and clinical differences between SHH and WNT-subtype medulloblastomas and have profound implications for future research and treatment of this important childhood cancer. A total of 16 samples are analyzed, repsresenting 4 experimental groups: Ctnnb1 medulloblastoma (3 samples); Ptch1 medulloblastoma (6 samples); embryonic dorsal brainstem (4 samples); and postnatal granule neuron precursor cells (3 samples). Every sample was prepared from a different mouse.
2010-11-01 | E-GEOD-24628 | biostudies-arrayexpress
Project description:Deregulations in fundamental signaling pathways are key events in pathogenesis of cancer. One intriguing illustration that still holds blind spots is the pediatric brain tumor arising from the developing cerebellum: medulloblastoma (MB). Extensive high-throughput sequencing led to the characterization of four MB subgroups (WNT, SHH, Group 3 and Group 4) delineated with distinct molecular signatures and clinical outcomes. However, up-to-date these analyses have not attained the global comprehension of their dynamic network complexity. Wishing to uncover a comprehensive view of all MB subgroups we employed a proteomic analysis to integrate accurate protein expression and activity that should ultimately give rise to a realistic picture of how MB cancer cells are regulated. In this study we present the first analysis regrouping methylation status, whole-transcriptome sequencing and quantitative proteomics (proteome and phosphoproteome) using a super SILAC / spiked in strategy across 38 flash frozen primary human MBs (5 WNT, 10 SHH, 10 Group 3 and 13 Group 4). First, our data pinpointed that proteomic analysis could reveal MB subgroup identity. Second, analysis of proteome and phosphoproteome highlighted disregulated signaling pathways that have not been predicted by transcriptomic analysis. Altogether, combined multi-scale analyses of MB have allowed us to identify unrevealed pathways involved in human MB genesis and progression.
2020-07-23 | PXD006607 | Pride