Transcriptomic characterization of Hepatocellular Carcinoma with CTNNB1 mutation
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE55048 | GEO | 2014/08/15
SECONDARY ACCESSION(S): PRJNA238330
REPOSITORIES: GEO
Similar Datasets
Project description:We report transcritomic characterization of changes in CTNNB1 mutation positive HCCs in comparison to paratumoral tissues 4 pair of HCC and paratumoral liver tissues are sequenced and compared
2014-08-15 | E-GEOD-55048 | biostudies-arrayexpress
Project description:PurposeHepatocellular carcinoma (HCC) is the sixth most common solid tumor worldwide and the third leading cause of cancer-related death. HCC is a particularly serious threat to the Chinese population. Although many molecular alterations are known to be involved in the tumorigenesis of hepatocytes, no systemic survey has examined the somatic mutations in HCC samples from Chinese patients. Our goal was to elucidate somatic mutations in Chinese HCC patients and investigate the possible molecular mechanisms involved in tumorigenesis.Experimental designA total of 110 hepatitis B virus (HBV)-positive HCC samples and 46 HBV-negative HCC samples were genotyped for hot-spot mutations in the CSF1R, CTNNB1, KRAS, BRAF, NRAS, ERBB2, MET, PIK3CA, JAK1, and SMO genes. The transcriptomes of the CTNNB1 mutation-positive HCC samples from the HBV-positive patients (CB+ HCC) were compared to adjacent non-cancerous livers, and significantly altered genes were functionally validated in vitro.ResultsCTNNB1 mutations accounted for the majority of the mutations detected in our study. A slightly higher mutation rate was found in the HBV-positive patients than in their negative counterparts. A distinct pattern of CTNNB1 mutation was detected in these two populations, and drastic changes at the transcriptomic level were detected in the CB+ tumors compared to adjacent non-cancerous livers. Potential tumor suppressors (FoxA3 and Onecut1) and oncogenes (MAFG and SSX1) were functionally validated.ConclusionsOur work is the first systemic characterization of oncogenic mutations in HCC samples from Chinese patients. Targeting the Wnt-β-catenin pathway may represent a valid treatment option for Chinese HCC patients. Our work also suggests that targeting ONECUT1, FOXA3, SSX1, and MAFG may be a valid treatment option for CTNNB1 mutation positive HCC patients.
| S-EPMC4010419 | biostudies-literature
Project description:Non-alcoholic steatohepatitis (NASH)-related hepatocellular carcinoma (HCC) is increasing globally, but its molecular features are not well defined. We aimed to identify unique molecular traits characterizing NASH-HCC compared to other HCC aetiologies. We collected 80 NASH-HCC and 125 NASH samples from 5 institutions. Expression array (n=53 NASH-HCC; n=74 NASH) and whole exome sequencing (n=50 NASH-HCC) data were compared to HCCs of other aetiologies (n=184). Three NASH-HCC mouse models were analysed with RNAseq/expression-array (n=20). ACVR2A was silenced in HCC cells and proliferation assessed by MTT and colony formation assays. Mutational profiling of NASH-HCC tumours revealed TERT-promoter (56%), CTNNB1 (28%), TP53 (18%) and ACVR2A (10%) as the most-frequently mutated genes. ACVR2A mutation rates were higher in NASH-HCC than in other HCC aetiologies (10% versus 3%, p<0.05). In vitro, ACVR2A silencing prompted a significant increase in cell proliferation in HCC cells. We identified a novel mutational signature (MutSig-NASH-HCC) significantly associated with NASH-HCC (16% vs 2% in viral/alcohol-HCC, p=0.03). Tumour mutational burden (TMB) was higher in non-cirrhotic than in cirrhotic NASH-HCCs (1.45 versus 0.94 mutations/Mb; p<0.0017). Compared to other aetiologies of HCC, NASH-HCCs were enriched in bile and fatty acid signalling, oxidative stress and inflammation, and presented a higher fraction of Wnt/TGF-β proliferation subclass tumours (42% versus 26%, p=0.01) and a lower prevalence of the CTNNB1 subclass. Compared to other aetiologies, NASH-HCC showed a significantly higher prevalence of immunosuppressive cancer field. In three murine models of NASH-HCC key features of human NASH-HCC were preserved. NASH-HCCs display unique molecular features including higher rates of ACVR2A mutations and the presence of a newly identified mutational signature.
2021-06-29 | GSE164760 | GEO
Project description:CTNNB1 is the most frequently mutated gene in hepatocellular carcinoma (HCC). However, its clinical relevance remains controversial. We determined an evolutionarily conserved β-catenin signature by comparative analysis of gene expression data from human HCC (GSE43619) and a mouse model.
2014-12-31 | GSE43628 | 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 | GSE102383 | 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 | GSE102451 | 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 | GSE98619 | 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.
2019-07-05 | GSE98617 | GEO
Project description:Mutations of β-catenin gene (CTNNB1) are frequent in adrenocortical adenomas (AA) and carcinomas (ACC). However, the target genes of CTNNB1 have not yet been identified in adrenocortical tumors. Our objective was to identify genes de-regulated in adrenocortical tumors harbouring CTNNB1 genetic alterations. We compared gene expression profiles of AA with (n: 3) and without (n: 4) CTNNB1 mutations using Affymetrix arrays.
2011-04-09 | E-GEOD-28476 | biostudies-arrayexpress