Adrenocortical Carcinoma Gene Expression Profiling [Affymetrix]
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE19750 | GEO | 2013/11/21
SECONDARY ACCESSION(S): PRJNA123999
REPOSITORIES: GEO
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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. RNA from forty-four adrenocortical carcinomas and four normal adrenal glands was extracted, labeled, and hybridized to Affymetrix U133 Plus 2 arrays. The resulting data was normalized by gcRMA with quantile normalization and background subtraction after using the ExpressionFileCreator in GenePattern. Data was then floored at 5.5 using PreprocessDataset, and filtered to remove 1) probes with more than 35 floored values and/or 2) probes where all values from one batch were floored while values from the other batch were not. Further batch effects were minimized using ComBat with the parametric option. Data was then floored at 2. Differentially expressed genes were determined using a T-test with multiple comparison correction as implemented by Comparative Marker Selection in Gene Pattern. Genes with the corrected p-value < 0.005 and the FDR < 0.075 were selected for further study. For comparing high to low grade or primary to recurrence, the FDR cut-off was increased to < 0.13. Survival analysis was conducted using Prism 6 (GraphPad) to generate Kaplan-Meier curves that were compared by log-rank.
2013-11-21 | E-GEOD-19750 | biostudies-arrayexpress
Project description:Adrenocortical carcinoma (ACC) is an aggressive endocrine tumor with a poor 5 year survival rate of 10-20%. We used expression profiling to assess the transcriptional changes associated with ACC as compared to normal adrenal glands with the goal of identifying new targets for treatment. Fourteen ACC tumors were profiled on both Affymetrix U133 Plus 2 or Agilent 22K Human Genome arrays; an additional six tumors were profiled on one or the other array. The data demonstrate a marked dysregulation of the cell cycle control, focused on sister chromatid adhesion and cytokinesis in the G2/M transistion. Genes associated with this pattern, and identified because of coordinate expression with CDC2, were capable of clustering ACC into two clusters that almost completely recapitulated histological grade. Exploration of the data sets by both Gene Set Enrichment Analysis and GeneGo Interactome analysis identified additional dysregulation of the IGF2-IGF1R axis, aside from IGF2 over-expression, as an early event present in low grade tumors. Additionally, p53 and MDM2 were consistently identified as drivers in leading edge analyses of the tumors, implicating the p53 pathway in ACC pathogenesis. Finally, over-expression of PTTG1, which encodes securin, and is involved in sister chromatid adhesion as well as negative regulation of p53, was associated with poor prognosis in our samples. Taken together, these data point toward a tumor type driven in part by dysregulated IGF2 signaling in the context of a lack of a functional p53 response, with potential vulnerabilities in the G2/M transition that may make viable therapeutic targets.
2013-11-21 | GSE19775 | GEO
Project description:Adrenocortical carcinoma (ACC) is an aggressive endocrine tumor with a poor 5 year survival rate of 10-20%. We used expression profiling to assess the transcriptional changes associated with ACC as compared to normal adrenal glands with the goal of identifying new targets for treatment. Fourteen ACC tumors were profiled on both Affymetrix U133 Plus 2 or Agilent 22K Human Genome arrays; an additional six tumors were profiled on one or the other array. The data demonstrate a marked dysregulation of the cell cycle control, focused on sister chromatid adhesion and cytokinesis in the G2/M transistion. Genes associated with this pattern, and identified because of coordinate expression with CDC2, were capable of clustering ACC into two clusters that almost completely recapitulated histological grade. Exploration of the data sets by both Gene Set Enrichment Analysis and GeneGo Interactome analysis identified additional dysregulation of the IGF2-IGF1R axis, aside from IGF2 over-expression, as an early event present in low grade tumors. Additionally, p53 and MDM2 were consistently identified as drivers in leading edge analyses of the tumors, implicating the p53 pathway in ACC pathogenesis. Finally, over-expression of PTTG1, which encodes securin, and is involved in sister chromatid adhesion as well as negative regulation of p53, was associated with poor prognosis in our samples. Taken together, these data point toward a tumor type driven in part by dysregulated IGF2 signaling in the context of a lack of a functional p53 response, with potential vulnerabilities in the G2/M transition that may make viable therapeutic targets. RNA from fifteen adrenocortical carcinomas and a pool of four normal adrenal glands was extracted, labeled, and hybridized to Agilent Human 1A Oligo Microarray (v2) chips. The resulting data was first background subtracted. Each array then had the median intenisty subtracted from each channel, and finally both M and A values were quantile normalized across arrays. All calculations were done in R using the Bioconductor packages of marray and limma.
2013-11-21 | E-GEOD-19775 | biostudies-arrayexpress
Project description:Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We performed liquid chromatography-tandem mass spectrometry (LC-MS/MS) using formalin-fixed paraffin-embedded (FFPE) tissues of 45 adrenal tumors.
2021-09-07 | PXD027404 | Pride
Project description:Adenoid cystic carcinoma (ACC) of salivary gland is an indolent tumor showing a propensity for delayed recurrence, with decreased survival rates. The identification of poor prognosis patients may help in defining molecular-based targeted strategies in this rare disease orphan of new treatments. Through a gene expression microarray-based approach followed by GSE functional analysis the expression profile of 46 primary untreated ACC samples and of ACC(h-TERT) tumor cells was analyzed. Patients who experienced early relapse showed enrichment in proliferation-related gene sets, including the G2-M checkpoint, E2F and myc targets, and in gene sets related to IFN signaling and aberrant proteostasis (FDR < 0.1), indicating increased mitotic and transcriptional activity in aggressive ACC. Similar functions were enriched in ACC samples classified by immunohistochemical staining as p63-negative, which exhibited increased protein burden and activation of pro-survival stress response pathways compared to p63-positive tumors. Compared to ACC tissues, ACC(h-TERT) cells share transcriptional features of aggressive p63-negative tumors. These data suggest association of specific pathway alterations with histopathological features of ACC, as recapitulated by p63 testing in patient prognostic stratification, anticipating new avenues for therapeutic intervention.
2023-02-08 | GSE214969 | GEO
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:Context: Adrenocortical carcinomas (ACC) are a rare tumor type with a poor five-year survival rate and limited treatment options. Objective: Understanding of the molecular pathogenesis of this disease has been aided by genomic analyses highlighting alterations in TP53, WNT, and IGF signaling pathways. Further elucidation is needed to reveal therapeutically actionable targets in ACC. Design: In this study, global DNA methylation levels were assessed by the Infinium HumanMethylation450 BeadChip Array on 18 ACC tumors and 6 normal adrenal tissues. A new, non-linear correlation approach, the discretization method, assessed the relationship between DNA methylation/gene expression across ACC tumors. Results: This correlation analysis revealed epigenetic regulation of genes known to modulate TP53, WNT, and IGF signaling, as well as tumor suppressor silencing previously unreported in ACC. Conclusions: DNA methylation may regulate genes known to play a role in ACC pathogenesis as well as known tumor suppressors.
2016-03-07 | GSE77871 | GEO
Project description:The pituitary tumor-transforming gene (PTTG1) is a recently discovered oncogene implicated in the malignant progression of a number of neoplasms. It has been shown to drive both endocrine and non-endocrine malignancies, but has not yet been studied in the context of renal cell carcinoma (RCC). Clear cell RCC (ccRCC) is cytogenetically characterized by deletion of chromosome 3p, harboring the von-Hippel Lindau tumor suppressor gene, and amplification of chromosome 5q. The significance of copy number gain of chromosome 5 is not clear, but is presumed to be the location of oncogenes that influence ccRCC development or progression. The PTTG1 oncogene maps to chromosome 5q, and here we show that PTTG1 is amplified in clear cell RCC, is overexpressed in tumor tissue relative to adjacent normal kidney, and expression is associated with high grade, high stage, and poor prognosis. Furthermore, we establish a functional role for PTTG1 in ccRCC tumorigenesis and progression. PTTG1 ablation reduces both the tumorigenic ability of ccRCC cells in vitro and in vivo and the invasive ability of these cells in vitro. An analysis of genes whose transcription is regulated by PTTG1 was supportive of an association with invasive and metastatic disease. PTTG1-dependent expression of the Rho-GEF ECT2, another proto-oncogene, is observed in a number of ccRCC cell lines, and ECT2 expression correlates with PTTG1 expression, high stage, high grade, and poor prognosis ccRCC. As GEF's have been promoted as potential drug targets for targeted cancer therapeutics, the relationship between the PTTG1 and ECT2 oncogenes may be able to be exploited for the treatment of this disease. PTTG1 was knocked down by siRNA.
2013-07-31 | E-GEOD-25493 | biostudies-arrayexpress
Project description:Circular RNAs (circRNAs) have emerged as crucial regulators in physiology and human diseases. However, evolutionarily conserved circRNAs with potent functions in cancers are rarely reported. Here, we identified a mammalian conserved circRNA circLARP2 that played critical roles in hepatocellular carcinoma (HCC). With clinical specimens, we found that patients with high circLARP2 levels in HCC had advanced prognostic stage and poor overall survival. CircLARP2 facilitated HCC metastasis and lipid accumulation in HCC cell lines. CircLARP2 was one of the rare ones that were identified in HCC metastasis and conserved in mammals, which enabled further studies with animal models. CircLARP2-deficient mice exhibited reduced metastasis and less lipid accumulation in an induced HCC model. We provided lines of evidence at molecular, cellular, and whole organismal levels, to support that circLARP2 functioned as a protein sponge of AUF1. CircLARP2 sequestered AUF1 from binding to LKB1 mRNA, which led to decreased LKB1 mRNA stability and lower LKB1 protein levels. LKB1 as a kinase promoted the phosphorylation of AMPK and then the phosphorylation of ACC, the rate limiting enzyme of fatty acid synthesis. Knockdown of Lkb1 with AAV8-shLkb1 in mice HCC model also proved that Lkb1 was a key element in the regulation. Through this AUF1-LKB1-AMPK-ACC pathway, circLARP2 promoted HCC metastasis and lipid accumulation.
2023-03-10 | ST002395 | MetabolomicsWorkbench
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