OncoScan CNV SNP array data for MNG/PTC samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE135374 | GEO | 2019/11/01
REPOSITORIES: GEO
Similar Datasets
Project description:OncoScan CNV SNP array data for MNG/PTC samples
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2016-08-10 | GSE80519 | GEO
Project description:Introduction: According to the clonal model of tumor evolution, trunk alterations arise at early stages and are ubiquitous. Through the characterization of early stages of hepatocarcinogenesis, we aimed to identify trunk alterations in HCC and study their intra- and inter-tumor distribution in more advanced lesions. Methods: 151 samples representing the multi-step process of hepatocarcinogenesis were analyzed by targeted-sequencing and SNP array. Genes altered in early lesions [31 dysplastic nodules (DNs) and 38 small HCCs (sHCC)] were defined as trunk. The distribution of candidate trunk genes was explored in: a) different regions of large tumors [43 regions of 21 tumors, (2-3 regions/tumor)]; and b) different nodules of the same patient [39 multinodular tumors from 17 patients]. Multinodular lesions were classified as intrahepatic metastases (IMs) or synchronous tumors based on chromosomal aberrations. Results: TERT promoter mutations (10.5%) and broad copy-number aberrations in chromosomes 1 and 8 (3-7%) were identified as trunk gatekeepers in DNs and were maintained in sHCCs. Trunk drivers identified in sHCCs included TP53 (23%) and CTNNB1 (11%) mutations, and focal amplifications or deletions in known drivers (6%). Overall, TERT, TP53 and CTNNB1 mutations were the most frequent trunk events in early stages. 89% of mutations in these genes were shared between different regions of large tumors. In multinodular HCCs, 35% of patients harbored IMs. 85% of mutations in TERT, TP53 and/or CTNNB1 were retained in primary and metastatic tumors. Conclusions: Trunk events in early stages (TERT, TP53, CTNNB1 mutations) were ubiquitous across different regions of the same tumor and between primary and metastatic nodules in >85% of cases. This concept supports the knowledge that single biopsies would suffice to capture trunk mutations in HCC.
2019-07-05 | GSE98618 | GEO
Project description:Introduction: According to the clonal model of tumor evolution, trunk alterations arise at early stages and are ubiquitous. Through the characterization of early stages of hepatocarcinogenesis, we aimed to identify trunk alterations in HCC and study their intra- and inter-tumor distribution in more advanced lesions. Methods: 151 samples representing the multi-step process of hepatocarcinogenesis were analyzed by targeted-sequencing and SNP array. Genes altered in early lesions [31 dysplastic nodules (DNs) and 38 small HCCs (sHCC)] were defined as trunk. The distribution of candidate trunk genes was explored in: a) different regions of large tumors [43 regions of 21 tumors, (2-3 regions/tumor)]; and b) different nodules of the same patient [39 multinodular tumors from 17 patients]. Multinodular lesions were classified as intrahepatic metastases (IMs) or synchronous tumors based on chromosomal aberrations. Results: TERT promoter mutations (10.5%) and broad copy-number aberrations in chromosomes 1 and 8 (3-7%) were identified as trunk gatekeepers in DNs and were maintained in sHCCs. Trunk drivers identified in sHCCs included TP53 (23%) and CTNNB1 (11%) mutations, and focal amplifications or deletions in known drivers (6%). Overall, TERT, TP53 and CTNNB1 mutations were the most frequent trunk events in early stages. 89% of mutations in these genes were shared between different regions of large tumors. In multinodular HCCs, 35% of patients harbored IMs. 85% of mutations in TERT, TP53 and/or CTNNB1 were retained in primary and metastatic tumors. Conclusions: Trunk events in early stages (TERT, TP53, CTNNB1 mutations) were ubiquitous across different regions of the same tumor and between primary and metastatic nodules in >85% of cases. This concept supports the knowledge that single biopsies would suffice to capture trunk mutations in HCC.
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2015-02-18 | E-GEOD-60081 | biostudies-arrayexpress
Project description:The alteration of gene expression due to variations in the sequences of transcriptional regulatory elements has been a focus of substantial inquiry in humans and model organisms. However, less is known about the extent to which natural variation contributes to post-transcriptional regulation. Allelic Expression Imbalance(AEI) is a classical approach for studying the association of specific haplotypes with relative changes in transcript abundance. Here, we benchmarked a new TRAP based approach to associate genetic variation with transcript occupancy on ribosomes in specific cell types, to determine if it will allow examination of Allelic Translation Imbalance(ATI), and Allelic Translation Efficiency Imbalance, using as a test case mouse astrocytes in vivo. We show that most changes of the mRNA levels on ribosomes were reflected in transcript abundance, though ~1.5% of transcripts have variants that clearly alter loading onto ribosomes orthogonally to transcript levels. These variants were often in conserved residues and altered sequences known to regulate translation such as upstream ORFs, PolyA sites, and predicted miRNA binding sites. Such variants were also common in transcripts showing altered abundance, suggesting some genetic regulation of gene expression may function through post-transcriptional mechanisms. Overall, our work shows that naturally occurring genetic variants can impact ribosome occupancy in astrocytes in vivo and suggests that mechanisms may also play a role in genetic contributions to disease.
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Project description:Desmoid tumors are bland fibroblastic tumors with little histologic variation in different regions of the tumor. While desmoid tumors do not metastasize, they have a high rate of local recurrence after complete resection and no reliable predictors of clinical behavior exist. The presence of molecular intra- and inter-tumor heterogeneity has been well established in other, higher grade, sarcomas but little is known about molecular variability within histologically bland lesions. In this study, we sought to examine the extent of intra- and inter-tumoral clonal heterogeneity of desmoid tumors, which may contribute to their pathogenesis and possible relapse. We performed analysis of DNA methylation, DNA copy number alterations, point mutations and gene expression on 24 specimens from different areas from primary and recurrent desmoid tumors from 3 patients (7-9 specimens per patient). The studies showed a remarkable heterogeneity of DNA methylation, DNA copy number alterations, point mutations or gene expression in different regions in primary or recurrent tumors in each patient. We discovered the evidence for subclonal alterations in different areas of individual tumors. Among the four types of data, the transcriptomic profiles showed the highest degree of variability within tumors and between different tumors from the same patient. Gene expression signatures associated with favorable and unfavorable outcome were detected in different regions within the same tumor. This study shows an unexpected degree of intra- and inter-tumor heterogeneity in desmoid tumors. Our analysis indicates that even in this histologically monotonous lesion, molecular analysis of a single tumor biopsy may underestimate the magnitude of molecular alterations. We demonstrate that molecular intra- and inter-tumor heterogeneity is an important consideration in drug development and validation of prognostic and predictive biomarkers for these tumors.
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