Deregulated miRNAs in adrenocortical tumors
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE22816 | GEO | 2011/06/01
SECONDARY ACCESSION(S): PRJNA128093
REPOSITORIES: GEO
Similar Datasets
Project description:We performed miRNA expression profiling in a series of adrenocortical carcinomas, adrenocortical adenomas and normal adreno cortex using a microarray approach. Significant differentially expressed miRNAs among groups were identified using SAM analysis. Agilent microarray platform containing 903 miRNAs was used to determine miRNA expression profiles in 4 normal cortices, 26 adenomas and 22 adrenocortical carcinomas. SAM analysis was adopted to identify significant differentially expressed miRNAs between groups. SAM survival analysis was used to determine the association between miRNA expression and survival among carcinoma cases. The expression levels of candidate prognostic miRNAs were evaluated using qRT-PCR in the same cohort of adrenocortical carcinomas and association with survival was evaluated using Kaplan Meier curves and log rank tests.
2011-06-01 | E-GEOD-22816 | biostudies-arrayexpress
Project description:Genome wide DNA methylation profiling of normal adrenocortical tissue, adrenocortical adenomas and adrenocortical carcinomas. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles. Samples included 6 normal adrenocortical tissue samples, 27 adenomas and 15 carcinomas.
2012-09-01 | GSE36353 | GEO
Project description:Pediatric adrenocortical tumors (ACT) are rare and often fatal malignancies; little is known regarding their etiology and biology. To provide additional insight into the nature of ACT, we determined the gene expression profiles of 24 pediatric tumors (five adenomas, 18 carcinomas, and one undetermined) and seven normal adrenal glands. Distinct patterns of gene expression, validated by quantitative real-time PCR and Western blot analysis, were identified that distinguish normal adrenal cortex from tumor. Differences in gene expression were also identified between adrenocortical adenomas and carcinomas. In addition, pediatric adrenocortical carcinomas were found to share similar patterns of gene expression when compared with those published for adult ACT. This study represents the first microarray analysis of childhood ACT. Our findings lay the groundwork for establishing gene expression profiles that may aid in the diagnosis and prognosis of pediatric ACT, and in the identification of signaling pathways that contribute to this disease.
2015-11-25 | GSE75415 | GEO
Project description:Human samples of 33 adrenocortical carcinomas, 22 adrenocortical adenomas, and 10 normal adrenal cortex samples, each from a different patient, had mRNA assays performed using Affymetrix HG_U133_plus_2 arrays, with 54675 probe-sets. We note that the same array data is in GEO series GSE33371, where we assayed the cancer samples for Beta-catenin staining or mutation, and make new comparisons based on those assays. Keywords: disease state analysis
2009-01-22 | GSE10927 | GEO
Project description:Genome wide DNA methylation profiling of normal adrenocortical tissue, adrenocortical adenomas and adrenocortical carcinomas. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles. Samples included 6 normal adrenocortical tissue samples, 27 adenomas and 15 carcinomas. Bisulphite converted DNA from the 48 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
2012-09-01 | E-GEOD-36353 | biostudies-arrayexpress
Project description:Pediatric adrenocortical tumors (ACT) are rare and often fatal malignancies; little is known regarding their etiology and biology. To provide additional insight into the nature of ACT, we determined the gene expression profiles of 24 pediatric tumors (five adenomas, 18 carcinomas, and one undetermined) and seven normal adrenal glands. Distinct patterns of gene expression, validated by quantitative real-time PCR and Western blot analysis, were identified that distinguish normal adrenal cortex from tumor. Differences in gene expression were also identified between adrenocortical adenomas and carcinomas. In addition, pediatric adrenocortical carcinomas were found to share similar patterns of gene expression when compared with those published for adult ACT. This study represents the first microarray analysis of childhood ACT. Our findings lay the groundwork for establishing gene expression profiles that may aid in the diagnosis and prognosis of pediatric ACT, and in the identification of signaling pathways that contribute to this disease. We used microarrays to explore the expression profiles differentially expressed in childhood adrenocortical tumors and in normal adrenal gland tissues. Pediatric adrenocortical adenoma and carcinoma patients were enrolled on the International Pediatric Adrenocortical Tumor Registry (IPACTR) and Bank protocol. Tumor specimens were harvested during surgery and snap frozen in liquid nitrogen to preserve tissue integrity. Data have been compiled for eight males and 15 females between 0 and 16 years of age. Table 1 (West et al, Cancer Research 67:601-608, 2007) summarizes the primary clinical information for each subject (excluding sample Unk1 with ACT of undetermined histology), including stage of the disease, tumor class, sex, age, relapse-free survival, and overall survival.
2015-11-25 | E-GEOD-75415 | biostudies-arrayexpress
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.
2011-04-09 | GSE28476 | GEO
Project description:MicroRNAs are small, non-coding RNAs that regulate gene expression at post-transcriptional levels. There is increasing evidence to suggest that miRNAs could be useful in cancer diagnosis, prognosis, and therapy. The aim of our study was to identify miRNAs predictors of poor prognosis in adrenocortical cancer. miRNA microarray expression profiling was performed on a cohort of 6 adenomas, 6 non-recurrent carcinomas (Carc_B) and 6 recurrent carcinomas (Carc_A). We identified several miRNAs that were differentially expressed between adenomas and carcinomas as well as between Carc_A and Carc_B. We found that the best discriminatory miRNAs between carcinomas and adenomas were miR-195 and miR-335 which were down-regulated in carcinomas. MiR-139-5p was the most powerful discriminatory miRNA between Carc_A and Carc_B subtypes with consistent up-regulation in the recurrent carcinoma subgroup (Carc_A). Target prediction analysis showed that predicted targets of these miRNAs could be involved in biological processes and pathways that enhance tumor progression. Our data suggest that adrenocortical cancer cells progressively switch from a high miR-195 and miR-335 status to a low miR-195 and miR-335 phenotype. MiR-139-5P is a potential prognostic biomarker of recurrent adrenocortical carcinomas.
2013-06-30 | GSE43279 | GEO
Project description:We scored adrenocortical carcinomas and adenomas for abnormal beta-catenin staining, and sequenced the beta-catenin gene in some samples. We compared adrenocortincal carcinomas with and without abnormal beta-catenin staining and found many significant expression differences and significant results from enrichment testing. A similar comparison in the adenomas gave relatively few differences, and they did not correlate to differences found for the carcinomas. Abnormal beta-catenin staining was associated with mitotic rate and poorer patient survival in the carcinomas. In a second independent data set (given in a supplement) we again found beta-catenin associated with poor survival. The array data given is the same as GEO series GSE10927, with additional characteristics about beta-catenin, and new patient followup data. The analysis shown in a supplementary Excel file is also new. Human samples of 33 adrenocortical carcinomas, 22 adrenocortical adenomas, and 10 normal adrenal cortex samples, each from a different patient, had mRNA assays performed using Affymetrix HG_U133_plus_2 arrays, with 54675 probe-sets. 23 of the carcinomas were used in survival analysis. 27 additional samples without array data were also used in a survival analysis.
2011-11-02 | E-GEOD-33371 | biostudies-arrayexpress
Project description:MicroRNAs are small, non-coding RNAs that regulate gene expression at post-transcriptional levels. There is increasing evidence to suggest that miRNAs could be useful in cancer diagnosis, prognosis, and therapy. The aim of our study was to identify miRNAs predictors of poor prognosis in adrenocortical cancer. miRNA microarray expression profiling was performed on a cohort of 6 adenomas, 6 non-recurrent carcinomas (Carc_B) and 6 recurrent carcinomas (Carc_A). We identified several miRNAs that were differentially expressed between adenomas and carcinomas as well as between Carc_A and Carc_B. We found that the best discriminatory miRNAs between carcinomas and adenomas were miR-195 and miR-335 which were down-regulated in carcinomas. MiR-139-5p was the most powerful discriminatory miRNA between Carc_A and Carc_B subtypes with consistent up-regulation in the recurrent carcinoma subgroup (Carc_A). Target prediction analysis showed that predicted targets of these miRNAs could be involved in biological processes and pathways that enhance tumor progression. Our data suggest that adrenocortical cancer cells progressively switch from a high miR-195 and miR-335 status to a low miR-195 and miR-335 phenotype. MiR-139-5P is a potential prognostic biomarker of recurrent adrenocortical carcinomas. Six tumor samples from patients with adrenocortical adenomas (Adenoma_1 to Adenoma_6), six tumor samples from patients with aggressive carcinomas (Carc_A1 to Carc_A6) and six tumor samples from patients with non-aggressive carcinoma (Carc_B1 to Carc_B6) were used to prepare total RNA for microarray analysis using MiRXploreTM Microarrays. miRXplore Universal Reference was used as control. One tumor sample was used per array.
2013-06-30 | E-GEOD-43279 | biostudies-arrayexpress