PCGP ACT RNASEQ - samples
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ABSTRACT:
PROVIDER: EGAD00001002680 | EGA |
REPOSITORIES: EGA
Similar Datasets
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.
| EGAD00001002679 | EGA
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.
| EGAS00001000257 | EGA
Project description:Pediatric adrenocortical carcinomas (ACCs) are aggressive; the overall survival of pediatric patients with ACCs is 40%-50%. Appropriate staging and histologic classification are crucial as children with incompletely resected tumors or metastatic disease have a dismal prognosis. The clinical course of pediatric adrenocortical tumors (ACTs) is difficult to predict using the current classification schemas, which rely heavily on subjective microscopic and gross macroscopic variables. Recent advances in adult ACT studies have revealed distinct DNA-methylation patterns with prognostic significance that have not been systematically interrogated in the pediatric population.
2020-05-16 | GSE131350 | 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. 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: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:Pediatric adrenocortical tumor (ACT) is a rare neoplasm with high heterogeneity, exhibiting an incidence 10 to 15 times higher in the south and southeast regions of Brazil when compared to the global incidence.In this context, our aim was to analyze the gene expression profile in the adrenocortical carcinoma cell line (NCI-H295R) after treatment with the compound rottlerin.
2024-02-18 | GSE255729 | GEO
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.
| EGAD00001002530 | EGA
Project description:Gene expression profiling of pediatric adrenocortical tumors collected by the International Pediatric Adrenocortical Tumor Registry (IPACTR).
| PRJNA306023 | ENA
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
2009-07-29 | GSE12368 | GEO
Project description:RNA-Seq files accompanying Genetic landscape of pediatric Rhabdomyosarcoma
| EGAD00001000878 | EGA