Gene expression based profiling of pleomorphic xanthoastrocytoma highlights two prognostic subgroups
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE168904 | GEO | 2021/12/14
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression based profiling of pleomorphic xanthoastrocytoma highlights two prognostic subgroups
| PRJNA714538 | ENA
Project description:BackgroundPleomorphic xanthoastrocytomas (PXAs) are rare, accounting for less than 1% of astrocytomas, and commonly occur in young patients. The majority are WHO grade II. A fraction of tumors that present or recur with malignant change are classified as anaplastic (APXA, grade III). Limited data are available on their molecular characteristics.MethodologyGenome-wide expression profiling of 14 PXA and 6 APXAs was performed by microarray. Among differentially expressed genes (DEGs), Cyclin-Dependent Kinase 14 (CDK14) and Mitochondrial Fission Process 1 (MTFP1) were validated by qRT PCR.ResultUnsupervised hierarchical clustering revealed two distinct molecular clusters (Cluster 1: 10 PXA, 3 APXA and Cluster 2: 4 PXA, 3 APXA) with grade II and III tumors distributed in both highlighting molecular heterogeneity within the same grade. There was an insignificant difference in age, sex, immunohistochemical profile, frequency of BRAF mutation, or CDKN2A deletion among the two clusters. Significantly, worse progression-free survival was observed in cluster 2 (P=0.003). mRNA profiling-based prediction of recurrence was superior to and independent of histological grade, BRAF mutation, or CDKN2A deletion status. A total of 10 upregulated and 418 downregulated genes were identified between the PXA clusters. qRT-PCR validation of CDK14 (upregulated in cluster 2) and MTFP1 (upregulated in cluster 1) showed strong concordance with expression array data.ConclusionThis is the first comprehensive study highlighting distinct molecular subgroups of PXA. The differentially expressed genes between two clusters may potentially be used for developing histology independent classification schemes, prognostication and may serve as prospective therapeutic targets for PXA patients.
| S-EPMC8902531 | biostudies-literature
Project description:Gene expression (mRNA) profiling of human ependymomas Despite the histological similarity of ependymomas from throughout the neuraxis, the disease likely comprises multiple independent entities, each with a distinct molecular pathogenesis. Transcriptional profiling of two large independent cohorts of ependymoma reveals the existence of two demographically, transcriptionally, genetically, and clinically distinct groups of posterior fossa (PF) ependymoma. Group-A patients are younger, have laterally located tumors with a balanced genome, and are much more likely to exhibit recurrence, secondary metastasis, and death as compared to Group-B patients. Identification and optimization of immunohistochemical markers for PF ependymoma subgroups allowed validation of our findings on a third independent group of tumors using a human ependymoma tissue microarray, and provides a tool for prospective prognostication and stratification of PF ependymoma patients. We analyzed 102 primary ependymomas on the Affymetrix Exon 1.0ST platform (Gene Level).
2011-08-14 | E-GEOD-27279 | biostudies-arrayexpress
Project description:Despite histological similarity of ependymomas from throughout the neuraxis, the disease likely comprises multiple independent entities, each with a distinct molecular pathogenesis. Transcriptional profiling of two large independent cohorts of ependymomas reveals the existence of two demographically, transcriptionally, genetically and clinically distinct groups of posterior fossa (PF) ependymoma. Group A patients are younger, have laterally located tumors with a balanced genome, and are much more likely to exhibit recurrence, metastasis, and death as compared to Group B patients. Identification and optimization of immunohistochemical markers for PF ependymoma subgroups allowed validation of our findings on a third group of independent ependymomas using a human ependymoma tissue microarray, and provides a tool for prospective prognostication and stratification of PF ependymoma patients. This SuperSeries is composed of the SubSeries listed below.
2011-08-15 | GSE27287 | GEO
Project description:Gene expression (mRNA) profiling of human ependymomas Despite the histological similarity of ependymomas from throughout the neuraxis, the disease likely comprises multiple independent entities, each with a distinct molecular pathogenesis. Transcriptional profiling of two large independent cohorts of ependymoma reveals the existence of two demographically, transcriptionally, genetically, and clinically distinct groups of posterior fossa (PF) ependymoma. Group-A patients are younger, have laterally located tumors with a balanced genome, and are much more likely to exhibit recurrence, secondary metastasis, and death as compared to Group-B patients. Identification and optimization of immunohistochemical markers for PF ependymoma subgroups allowed validation of our findings on a third independent group of tumors using a human ependymoma tissue microarray, and provides a tool for prospective prognostication and stratification of PF ependymoma patients.
2011-08-15 | GSE27279 | GEO
Project description:Despite histological similarity of ependymomas from throughout the neuraxis, the disease likely comprises multiple independent entities, each with a distinct molecular pathogenesis. Transcriptional profiling of two large independent cohorts of ependymomas reveals the existence of two demographically, transcriptionally, genetically and clinically distinct groups of posterior fossa (PF) ependymoma. Group A patients are younger, have laterally located tumors with a balanced genome, and are much more likely to exhibit recurrence, metastasis, and death as compared to Group B patients. Identification and optimization of immunohistochemical markers for PF ependymoma subgroups allowed validation of our findings on a third group of independent ependymomas using a human ependymoma tissue microarray, and provides a tool for prospective prognostication and stratification of PF ependymoma patients. This SuperSeries is composed of the following subset Series: GSE27283: Human ependymoma samples [expression] GSE27286: Human ependymoma samples, Subgrouping [aCGH - German Cancer Research Center human 33K BAC array] Refer to individual Series
2011-08-14 | E-GEOD-27287 | biostudies-arrayexpress
Project description:Ependymal tumors across age groups are currently classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patients' outcome. We aimed at establishing a uniform molecular classification using DNA methylation profiling. Nine molecular subgroups were identified in a large cohort of 500 tumors, 3 in each anatomical compartment of the CNS, spine, posterior fossa, supratentorial. Two supratentorial subgroups are characterized by prototypic fusion genes involving RELA and YAP1, respectively. Regarding clinical associations, the molecular classification proposed herein outperforms the current histopathological classification and thus might serve as a basis for the next World Health Organization classification of CNS tumors.
2015-05-21 | GSE65362 | GEO
Project description:Medulloblastoma in adults: Cytogenetic phenotypes identify prognostic subgroups
| PRJNA704366 | ENA
Project description:Comprehensive molecular classification of bladder cancer reveals distinct prognostic subgroups with different sensitivities to immunotherapy
| PRJNA494347 | ENA
Project description:Advances in transcriptomics have impacted the way of looking atimproved our understanding of leukemic development and helped enhancing the stratification of patients. Analyses of individual cohortsTranscriptomics studies often combined AML samples regardless of cytogenetic abnormalities. , which would lead to bias in Hence, deregulated genesdifferential gene expression analysis that may result from the differential representation of in less frequent AML subgroups have low weight, contrarily to those in abundant subgroups. We, thusHence, we performed a horizontal meta-analysis that integrated transcriptomic data of AML from multicentric multiple studies to enrich the less frequent cytogenetic subgroups and to uncover common genes involved in AML development and response to therapy. A total of 28 Affymetrix microarray datasets harboring 3940 AML samples were downloaded from the GEO database. After stringent quality control, transcriptomics data of 1523 samples from 11 datasets, covering 10 AML cytogenetic subgroups, were retained and merged with the transcriptomic data of 198 healthy bone marrow samples. Differentially expressed genes between each cytogenetic subgroup and normal samples were extracted, allowing the unbiased identification of 330 commonly deregulated genes (CODEGs)., which CODEGs showed enriched expression profiles in myeloid differentiation, leukemic stem cell status and relapse. Most of these genes were downregulated, in accordance with DNA hypermethylation. CODEGS were then used to create a prognostic score based on the weighted sum of expression of 22 core genes (CODEG22). The score was validated in on microarray data of five independent cohorts, and by qRT-PCR in a cohort of 142 samples, by qRT-PCR. CODEG22 stratified patients globally, as well as in subpopulations of cytologically normal and elderly patients. , and hence, couldSo, it may complement the European LeukemiaNet classification for a more accurate prediction of AML outcomes.
2020-10-29 | GSE147515 | GEO