ABSTRACT: This dataset contains RNA-Seq files for the SJACT cohort associated with the paper "Genetic landscape of pediatric Adrenocortical Tumor". In this paper, we analyse 37 adrenocortical tumours (ACTs) by whole-genome, whole-exome and/or transcriptome sequencing.
Project description:This dataset contains WES files for the SJACT cohort associated with the paper "Genetic landscape of pediatric Adrenocortical Tumor". In this paper, we analyse 37 adrenocortical tumours (ACTs) by whole-genome, whole-exome and/or transcriptome sequencing.
Project description:Paediatric adrenocortical carcinoma is a rare malignancy with poor prognosis. Here we analyse 37 adrenocortical tumours (ACTs) by whole-genome, whole-exome and/or transcriptome sequencing. Collectively, these findings demonstrate the nature, timing and potential prognostic significance of key genetic alterations in paediatric ACT and outline a hypothetical model of paediatric adrenocortical tumorigenesis.
Project description:Differential diagnosis of adrenocortical adenoma and carcinoma is of pivotal clinical relevance, as the prognosis and clinical management of benign and malignant adrenocortical tumours is entirely different. Circulating microRNAs are promising biomarker candidates of malignancy in several tumours. In the present study we investigate circulating microRNAs in adrenocortical tumours and to evaluate their potential applicability as biomarkers of malignancy.
Project description:Differential diagnosis of adrenocortical adenoma and carcinoma is of pivotal clinical relevance, as the prognosis and clinical management of benign and malignant adrenocortical tumours is entirely different. Circulating microRNAs are promising biomarker candidates of malignancy in several tumours. In the present study we investigate circulating microRNAs in adrenocortical tumours and to evaluate their potential applicability as biomarkers of malignancy. For the miRNA profiling, 8 preoperative plasma samples obtained from patients with adrenocortical adenomas and carcinomas and were studied by microarray.
Project description:Copy number analysis of Affymetrix GW6.0 SNP/CNV arrays was performed for 7 tumours (4 adrenocortical carcinomas, 2 rhabdomyosarcoma and 1 extra-renal rhabdoid tumour) derived from individuals with germline p53-mutations.
Project description:Additional files for "The Genomic Landscape of Core-Binding Factor Acute Myeloid Leukemias" (EGAS00001000349). This dataset includes the processed RNASeq data referenced in this paper.
Project description:Purpose: The management of adrenocortical tumors (ACTs) is complex, compounded by the difficulty in discriminating benign from malignant tumors using conventional histology. The Weiss score is the current most widely used system for ACT diagnosis but it has limitations, particularly with ACTs with a score of 3. The am of this study was to identify molecular markers whose expression can discriminate adrenocortical carcinomas (ACCs) from adrenocortical adenomas (ACAs) by microarray gene expression profiling and to determine their clinical applicability by using immunohistochemistry (IHC). Experimental design: Microarray gene expression profiling was used to identify 7 molecular markers which were significantly differentially expressed between ACCs and ACAs. These results were confirmed with quantitative PCR for all 7 genes and IHC for 3 protein. Results: Microarray gene expression profiling was able to accurately categorize ACTs into ACCs and ACAs. All 7 genes were strong discriminators of ACCs from ACAs on qPCR. IHC with IGF2, MAD2L1, CCNB1 and Ki-67, but not ACADVL or ALOX15B, had high diagnostic accuracy in differentiating ACCs from ACAs. The best results however were obtained with a combination of IGF2 and Ki-67 with 96% sensitivity and 100% specificity in diagnosing ACCs. Conclusion: Microarray gene expression profiling accurately differentiates ACCs from ACAs. The combination of IGF2 and Ki-67 IHC is also highly accurate in distinguishing between the 2 groups and is particularly helpful in ACTs with Weiss score of 3. Keywords: Adrenocortical carcinoma, adrenocortical adenoma, differential gene expression, immunohistochemistry, qPCR
Project description:SNP array data from 13 Brazilian childhood adrenocortical tumors (ACTs) were analyzed to detect recurrent copy number changes and highlight potential candidate driver genes.
