Dataset Information

Genome-scale methylome profiling of adrenocortical carcinomas (ACC) and adenomas (ACA)

ABSTRACT: Genome-scale DNA methylation was analyzed in a cohort of ACC and ACA to identify DNA methylation changes. Bisulfite converted DNA from 51 fresh frozen ACC and 30 ACA samples were hybridized to Illumina HumanMethylation27 BeadChips.

ORGANISM(S): Homo sapiens

SUBMITTER: Olivia Barreau Windy Luscap Eric Letouzé Aurélien de Reyniès Nabila Elarouci Jérome Bertherat Guillaume Assié

PROVIDER: E-GEOD-49277 | ArrayExpress | 2014-04-29

SECONDARY ACCESSION(S): GSE49277PRJNA213473

REPOSITORIES: GEO, ArrayExpress

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Project description:Background: Adrenal myelolipoma (AML) is a relatively common and invariably benign tumor composed of adipose tissue and hematopoietic elements. Due to the variable proportion of fat and hematopoietic elements, it is sometimes challenging to differentiate AML from adrenocortical carcinoma (ACC). MicroRNAs have been identified as promising biomarkers in many tumors, including adrenocortical neoplasms, but the microRNA expression of adrenal myelolipoma has not been investigated, yet. Aims: To perform a large scale microRNA expression profiling in adrenal myelolipoma, benign and malignant adrenocortical tumors to identify potential microRNA biomarkers. Methods: Next-generation sequencing (NGS) on 30 formalin-fixed paraffin-embedded archived tissue samples (discovery cohort: 10 adrenocortical adenoma (ACA), 10 ACC and 10 myelolipoma) was performed by Illumina MiSeq. Significantly differentially expressed microRNAs were validated by real-time RT-qPCR in an independent validation cohort comprised of 10 ACA, 10 myelolipoma and 9 ACC samples. Results: We have found relative overexpression of miR- 451a, miR-486-5p, miR-363-3p and miR-150-5p in myelolipoma compared to the other two tumor groups by NGS. For ACC, we have found up-regulation of miR-184, miR-483-5p, miR-431-5p and miR-183-5p compared to myelolipoma and ACA. Validation by RT-qPCR, confirmed significant overexpression of miR-451a, miR-486-5p and miR-150-5p in myelolipomas relative to ACA and ACC, whereas significant overexpression of miR-184 and miR-183-5p was confirmed in ACC relative to the other 2 groups. The overexpression of miR-483-5p has not turned out to be significant in ACC relative to myelolipomas in the validation cohort. Conclusions: Overexpressed miR-451a, miR-486-5p and miR-150-5p might be potential tissue markers of adrenal myelolipoma. The lack of significance in the expression of miR-483-5p between ACC and myelolipoma is remarkable, as miR-483-5p has been considered to be the best marker of adrenal malignancy to date. Overall design: Altogether 30 samples were investigated by high-throughput microRNA expression profiling

Project description:Adrenocortical carcinoma (ACC) is a rare endocrine malignancy accounting for between 0.02 and 0.2 percent of all cancer deaths. Surgical removal offers the only current potential for cure. Unfortunately, ACC has undergone metastatic spread in approximately 40-70 percent of patients at the time of diagnosis. Standard chemotherapy with mitotane containing regimens is often ineffective and associated with intolerable side-effects. Modern molecular technologies now allow the examination of germ-line and somatic DNA for chromosomal alterations which can give biological insight into cancer processes. Using an array-based high density comparative genomic hybridization (CGH) screen, genomic aberrations within 25 ACC patients were assessed to identify genomic characteristic of this cancer. Genomes were queried with >44,000 probes on the Agilent Human Genome CGH array detecting regions of chromosomal gain and loss within the tumor population. Statistical analysis of this genetic landscape reveals a set of chromosomal aberrations strongly associated with survival in an accumulation dependent fashion. These regions may hold prognostic indicators and offer therapeutic targets that can be used to develop novel treatments for aggressive tumors. Experiment Overall Design: Array-based high density comparative genomic hybridization (CGH) screen was utilized to identify genomic aberrations within 25 ACC patients. Thirteen tumor samples are from male and 12 are from female patients. The mean age of patients is 51.8 years (range, 23.3-77.7 years) with a median of 54.2 years. The mean tumor physical measurements for the ACC set are a mean weight of 536.3 grams (range, 20.5-2880 grams) and size of 10.7 cm (range, 3-21.5 cm). The clinical data also includes functional status of the tumor which is based on clinical parameters and confirmed by biochemical analysis. Nonfunctional tumors or those that do not over-produce hormones represent 48% of the tumor set. The localization of each tumor is a measure of the tumor metastatic characteristic at time of operation while tumor grade is a histologically based rating system for tumor progression. Sixty percent of the tumors (15 of 25) were localized to the adrenal area with no indication of metastatic spread. The majority of tumors were grade 3 and 4 at time of diagnosis (17 of 25) indicating necrosis and atypical mitosis of >21/50 hpf. Genomes were queried with >44,000 probes on the Agilent Human Genome CGH array detecting regions of chromosomal gain and loss within the tumor population.

Project description:Adrenocortical carcinoma (ACC) is a rare endocrine malignancy accounting for between 0.02 and 0.2 percent of all cancer deaths. Surgical removal offers the only current potential for cure. Unfortunately, ACC has undergone metastatic spread in approximately 40-70 percent of patients at the time of diagnosis. Standard chemotherapy with mitotane containing regimens is often ineffective and associated with intolerable side-effects. Modern molecular technologies now allow the examination of germ-line and somatic DNA for chromosomal alterations which can give biological insight into cancer processes. Using an array-based high density comparative genomic hybridization (CGH) screen, genomic aberrations within 25 ACC patients were assessed to identify genomic characteristic of this cancer. Genomes were queried with >44,000 probes on the Agilent Human Genome CGH array detecting regions of chromosomal gain and loss within the tumor population. Statistical analysis of this genetic landscape reveals a set of chromosomal aberrations strongly associated with survival in an accumulation dependent fashion. These regions may hold prognostic indicators and offer therapeutic targets that can be used to develop novel treatments for aggressive tumors. Keywords: CGH, adrenocortical carcinoma, cancer Overall design: Array-based high density comparative genomic hybridization (CGH) screen was utilized to identify genomic aberrations within 25 ACC patients. Thirteen tumor samples are from male and 12 are from female patients. The mean age of patients is 51.8 years (range, 23.3-77.7 years) with a median of 54.2 years. The mean tumor physical measurements for the ACC set are a mean weight of 536.3 grams (range, 20.5-2880 grams) and size of 10.7 cm (range, 3-21.5 cm). The clinical data also includes functional status of the tumor which is based on clinical parameters and confirmed by biochemical analysis. Nonfunctional tumors or those that do not over-produce hormones represent 48% of the tumor set. The localization of each tumor is a measure of the tumor metastatic characteristic at time of operation while tumor grade is a histologically based rating system for tumor progression. Sixty percent of the tumors (15 of 25) were localized to the adrenal area with no indication of metastatic spread. The majority of tumors were grade 3 and 4 at time of diagnosis (17 of 25) indicating necrosis and atypical mitosis of >21/50 hpf. Genomes were queried with >44,000 probes on the Agilent Human Genome CGH array detecting regions of chromosomal gain and loss within the tumor population.