Expression data from human metastatic adrenocortical carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE90713 | GEO | 2017/11/24
SECONDARY ACCESSION(S): PRJNA355567
REPOSITORIES: GEO
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Project description:Adrenocortical carcinoma (ACC) is characterized by disruption of tissue development and homeostatic pathways. Here, using genetic fate mapping and murine ACC models, we have identified a population of adrenocortical stem cells that express Delta-like non-canonical Notch ligand 1 (DLK1). These cells are active during development, near dormant postnatally but are re-expressed in ACC. DLK1 expression is widespread in human ACC samples and independently influences recurrence-free survival. Spatial transcriptomic analysis has identified DLK1 positive ACC cells to have increased steroidogenic potential, a finding also observed in both human and murine ACC cell lines. Additionally, the cleavable DLK1 ectodomain is detectable in patients’ serum and effectively distinguishes ACC from other adrenal pathologies, offering potential diagnostic and follow-up utility for ACC patients. These data demonstrate a prognostic role for DLK1 in ACC, elucidate its hierarchical expression in homeostasis and cancer and suggest its utility as a biomarker in this malignancy.
2024-10-21 | GSE277486 | GEO
Project description:Transcription factor 21 (TCF21) directly binds and regulates SF1 in tumor and normal adrenocortical cells, and both are involved in the development and steroidogenesis of the adrenal cortex. TCF21 is a tumor suppressor gene and its expression is reduced in malignant tumors. In adrenocortical tumors, it is less expressed in adrenocortical carcinomas (ACC) than in adrenocortical adenomas (ACA) and normal tissue. However, a comprehensive analysis to identify TCF21 targets have not yet been conducted in any type of cancer. In this study, we performed Chromatin Immunoprecipitation and Sequencing (ChIP-Seq) in adrenocortical carcinoma cell line (NCI-H295R) overexpressing TCF21, with the aim of identifying TCF21 new targets. The five most frequently identified sequences corresponded to the PRDM7, CNTNAP2, CACNA1B, PTPRN2 and KCNE1B genes. Validation experiments showed that, in NCI-H295R cells, TCF21 regulates gene expression positively in PRDM7 and negatively in CACNA1B. Recently, it was observed that the N-type calcium channel v2.2 (Cav2.2) encoded by CACNA1B gene is important in Angiotensin II signal transduction for corticosteroid biosynthesis in NCI-H295R adrenocortical carcinoma cells. Indeed, TCF21 inhibits CACNA1B and Cav2.2 expression in NCI-H295R. In addition, in a cohort of 55 adult patients with adrenocortical tumor, CACNA1B expression was higher in ACC than ACA, and was related to poor disease-free survival in ACC patients. These results suggest a mechanism of steroidogenesis control by TCF21 in adrenocortical tumor cells, in addition to the control observed through SF1 inhibition. Importantly, steroid production could impair tumor immunogenicity, contributing to the immune resistance described in adrenal cancer.
2022-06-30 | GSE179308 | GEO
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.
2018-04-07 | GSE112804 | GEO
Project description:Adrenocortical carcinoma (ACC) is an aggressive malignancy with high rates of recurrence following surgical resection. Long noncoding RNAs (lncRNAs) play an important role in cancer development. Pathogenesis of adrenal tumours has been characterised by mRNA, microRNA and methylation expression signatures but it is unknown if this extends to lncRNAs. We sought to describe lncRNA expression signatures in adrenocortical carcinoma (ACC), adrenal cortical adenoma (ACA) and normal adrenal cortex (NAC). RNA was extracted from freshly frozen tissue with confirmation of diagnosis by histopathology. Focused lncRNA and mRNA transcriptome analysis was performed using the ArrayStar Human LncRNA V3.0 microarray. Differentially expressed lncRNAs were validated using qRT-PCR.
2015-01-01 | GSE61359 | GEO
Project description:Adrenocortical tumors are common; their prevalence may reach up to 5-7% in pathological series. Most of them are benign and hormonally inactive, however, rare hormone-secreting (aldosterone and cortisol) and malignant forms are associated with significant morbidity and mortality. The prognosis of adrenocortical cancer (ACC) is poor with an overall five-year survival below 30 %. In this study, CGH analysis was performed on 4 ACC (adrenocortical carcinoma), 4 IA (hormonally inactive adrenocortical adenoma) and 3 CPA (cortisol producing adrenocortical adenoma) samples. Tissue digestion, labeling, hybridization and data analysis of genomic DNA were performed according to the Agilent Technologies (Santa Clara, CA) protocol version 2.0 for 105 K arrays. As expected, many of the observed aberrations were generally consistent with those of other preciously published data and will provide the basis for determination how genomic diversity impacts biological function and human diseases, such as cancer.
2009-08-06 | GSE17396 | GEO
Project description:Micro-RNA sequencing of adrenocortical tumors and normal adrenal samples. miRNA sequencing of 45 adrenocortical carcinomas (ACC), 30 adrenocortical adenomas (ACA) and 3 normal adrenal samples.
2014-04-29 | E-GEOD-49279 | biostudies-arrayexpress
Project description:Adrenocortical carcinoma (ACC) is an aggressive malignancy with a low but variable overall survival rate. Even after complete tumor resection, over half of patients develop recurrent disease. Long noncoding RNAs (lncRNAs) have been found to be involved in cancer initiation/progression and as markers of cancer prognosis. The role of lncRNAs in ACC is poorly understood. Thus, in this study we performed lncRNA expression profiling in ACC, adrenocortical adenoma (ACA) and normal adrenal cortex (NAC). Total RNA was extracted from fresh frozen tissue samples (11 ACA, nine ACC and five NAC samples) with histopathological confirmed diagnosis. ArrayStar Human LncRNA/mRNA Expression Microarray V3.0 was used for transcriptome analysis. Differentially expressed lncRNAs were validated using TaqMan real-time quantitative PCR in a validation cohort including an additional 10 ACCs. The ACC dataset from the Cancer Genome Atlas (TCGA) project was used to evaluate the prognostic utility of lncRNAs found to be differentially expressed in ACC. Survival curves were plotted by Kaplan-Meier analysis, and differences in survival rates were assessed using a log-rank test. P < 0.05 was considered significant. Gene Set Enrichment Analysis (GSEA) was performed to identify lncRNA-associated biological signaling pathways. Unsupervised hierarchical and heat map clustering showed distinct clustering of ACC samples compared with NAC and ACA samples by lncRNA expression profiles. A total of 874 lncRNAs were differentially expressed between ACC and NAC, including known carcinogenesis-related lncRNAs such as HOTTIP, HOXA11-AS1, CRNDE, LINC00271 and TBXAS1. One thousand seventy-six lncRNAs were differentially expressed between ACC and ACA. LINC00271 was a prognostic marker, with patients with low LINC00271 expression surviving significantly shorter than patients with a high LINC00271 expression. Median survival time (MST) for the low-expression group was 1788 days, whereas the MST was not reached for the high-expression group (P < 0.019). Importantly, low LINC00271 expression was positively associated with WNT signaling, cell cycle, chromosome segregation and tissue morphogenesis pathways. ACC has a distinct lncRNA expression profile. LINC00271 is a prognostic marker in ACC and is involved in biological pathways commonly dysregulated in ACC.
2019-07-01 | GSE124531 | 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.
2011-04-09 | GSE28476 | GEO
Project description:Background: Adrenocortical carcinoma (ACC) is associated with poor survival rates. The objective of the study was to analyze ACC gene expression profiling data prognostic biomarkers and novel therapeutic targets. Methods: 44 ACC and 4 normal adrenal glands were profiled on Affymetrix U133 Plus 2 expression microarrays and pathway and transcriptional enrichment analysis performed. Protein levels were determined by western blot. Drug efficacy was assessed against ACC cell lines. Previously published expression datasets were analyzed as validation data sets. Results: Pathway enrichment analysis identified marked dysregulation of cyclin-dependent kinases and mitosis. Over-expression of PTTG1, which encodes securin, a negative regulator of p53, was identified as a marker of poor survival. Median survival for patients with tumors expressing high PTTG1 levels (log2 ratio of PTTG1 to average beta-actin <-3.04 ) was 1.8 years compared to 9.0 years if tumors expressed lower levels of PTTG1 (P<0.0001). These findings were confirmed by our analysis of previously published datasets. Treatment of ACC cell lines with vorinostat decreased securin levels and inhibited cell growth (IC50s of 1.69 uM and 0.891 uM, for SW-13 and H295R, respectively). Conclusion: Over-expression of PTTG1 is correlated with poor survival in ACC. PTTG1/securin is a prognostic biomarker and warrants investigation as a therapeutic target.
2013-11-21 | GSE19750 | GEO
Project description:Adrenocortical tumors are common; their prevalence may reach up to 5-7% in pathological series. Most of them are benign and hormonally inactive, however, rare hormone-secreting (aldosterone and cortisol) and malignant forms are associated with significant morbidity and mortality. The prognosis of adrenocortical cancer (ACC) is poor with an overall five-year survival below 30 %. In this study, CGH analysis was performed on 4 ACC (adrenocortical carcinoma), 4 IA (hormonally inactive adrenocortical adenoma) and 3 CPA (cortisol producing adrenocortical adenoma) samples. Tissue digestion, labeling, hybridization and data analysis of genomic DNA were performed according to the Agilent Technologies (Santa Clara, CA) protocol version 2.0 for 105 K arrays. As expected, many of the observed aberrations were generally consistent with those of other preciously published data and will provide the basis for determination how genomic diversity impacts biological function and human diseases, such as cancer. In this study, biopsies from adrenocortical tumors (4 ACC, 4 IA and 3 CPA samples) were analysed with CGH. Tissue digestion, labeling, hybridization, and data analysis of genomic DNA were performed according to the Agilent Technologies (Santa Clara, CA) protocol version 2.0 for 105 K arrays. Slides were scanned with Agilent Microarray scanner and data were extracted with Feature Extraction software version 9.5.1.1. DNA Analytics software was used (version 4.0.85, Agilent Technologies, Santa Clara, CA) for data analysis. The starting and ending points of the aberrations were confirmed by the ADM-2 algorithm with 6.0 threshold.
2010-05-15 | E-GEOD-17396 | biostudies-arrayexpress