Malignant Adrenocortical Tumors Research Articles

The Role of the IGF2 Methylation Score in Diagnosing Adrenocortical Tumors with Unclear Malignant Potential-Feasibility of Formalin-Fixed Paraffin-Embedded Tissue.

The differentiation between benign and malignant adrenocortical tumors based on pathological assessment can be difficult. We present a series of 17 patients with unclear malignant tumors, of whom six had recurrent or metastatic disease. The assessment of the methylation pattern of insulin-like growth factor 2 (IGF2) regulatory regions in fresh frozen material has shown to be valuable in determining the malignancy of adrenocortical tumors, although this has not been elaborately tested in unclear malignant tumors. Since fresh frozen tissue was only available in six of the patients, we determined the feasibility of using formalin-fixed paraffin-embedded (FFPE) tissue for this method. We isolated DNA from FFPE tissue and matched the fresh frozen tissue of three patients with adrenocortical carcinoma. Methylation patterns of IGF2 regulatory regions were determined by pyrosequencing using different amounts of bisulfite-converted DNA (5 ng, 20 ng, 40 ng). Compared to fresh frozen tissue, FFPE tissue had a higher failure rate (fresh frozen 0%; FFPE 18.5%) and poor-to-moderate replicability (fresh frozen rho = 0.89-0.99, median variation 1.6%; FFPE rho = -0.09-0.85, median variation 7.7%). There was only a poor-to-moderate correlation between results from fresh frozen and FFPE tissue (rho = -0.28-0.70, median variation 13.2%). In conclusion, FFPE tissue is not suitable for determining the IGF2 methylation score in patients with an unclear malignant adrenocortical tumor using the currently used method. We, therefore, recommend fresh frozen storage of resection material for diagnostic and biobank purposes.

Simplified urinary steroid profiling by LC-MS as diagnostic tool for malignancy in adrenocortical tumors

ObjectivesPreoperative identification of malignant adrenal tumors is challenging. 24-h urinary steroid profiling by LC-MS/MS and machine learning has demonstrated high diagnostic power, but the unavailability of bioinformatic models for public use has limited its routine application. We here aimed to increase usability with a novel classification model for the differentiation of adrenocortical adenoma (ACA) and adrenocortical carcinoma (ACC). MethodsEleven steroids (5-pregnenetriol, dehydroepiandrosterone, cortisone, cortisol, α-cortolone, tetrahydro-11-deoxycortisol, etiocholanolone, pregnenolone, pregnanetriol, pregnanediol, and 5-pregnenediol) were quantified by LC-MS/MS in 24-h urine samples from 352 patients with adrenal tumor (281 ACA, 71 ACC). Random forest modelling and decision tree algorithms were applied in training (n = 188) and test sets (n = 80) and independently validated in 84 patients with paired 24-h and spot urine. ResultsAfter examining different models, a decision tree using excretions of only 5-pregnenetriol and tetrahydro-11-deoxycortisol classified three groups with low, intermediate, and high risk for malignancy. 148/217 ACA were classified as being at low, 67 intermediate, and 2 high risk of malignancy. Conversely, none of the ACC demonstrated a low-risk profile leading to a negative predictive value of 100% for malignancy. In the independent validation cohort, the negative predictive value was again 100% in both 24-h urine and spot urine with a positive predictive value of 87.5% and 86.7%, respectively. ConclusionsThis simplified LC-MS/MS-based classification model using 24-h-urine provided excellent results for exclusion of ACC and can help to avoid unnecessary surgeries. Analysis of spot urine led to similarly satisfactory results suggesting that cumbersome 24-h urine collection might be dispensable after future validation.

Adrenocortical Tumor: With Special Reference to A Case Report

Adrenocortical tumor (ACT) is a rare tumor, the annual incidence of which is estimated to be 0.5 to 2 cases per million [1], leading to 0.04 and 0.2% of causes of cancer death.We report here the case of a patient admitted in the surgery department B at Ibn Sina hospital in Rabat.This is a 50-year-old man, a chronic smoker with 33 smoking years, who underwent an operation a month ago for suspicion of a Hydatid Cyst of the right lobe of the liver, with intraoperative finding of a right adrenal mass and a normal liver. Biopsy later on reported a malignant adrenocortical tumor, so the patient was referred for subsequent care and management. The patient subsequently underwent surgery by laparotomy, and complete resection of the adrenal tumor mass was successful, followed by simple postoperative consequences.

Ang–Tie Angiogenic Pathway Is Distinctively Expressed in Benign and Malignant Adrenocortical Tumors

The differential diagnosis between adrenocortical adenomas (ACAs) and adrenocortical carcinomas (ACCs) relies on unspecific clinical, imaging and histological features, and, so far, no single molecular biomarker has proved to improve diagnostic accuracy. Similarly, prognostic factors have an insufficient capacity to predict the heterogeneity of ACC clinical outcomes, which consequently lead to inadequate treatment strategies. Angiogenesis is a biological process regulated by multiple signaling pathways, including VEGF and the Ang–Tie pathway. Many studies have stressed the importance of angiogenesis in cancer development and metastasis. In the present study, we evaluated the expression of VEGF and Ang–Tie pathway mediators in adrenocortical tumors (ACTs), with the ultimate goal of assessing whether these molecules could be useful biomarkers to improve diagnostic accuracy and/or prognosis prediction in ACC. The expression of the proteins involved in angiogenesis, namely CD34, VEGF, VEGF-R2, Ang1, Ang2, Tie1 and Tie2, was assessed by immunohistochemistry in ACC (n = 22), ACA with Cushing syndrome (n = 8) and non-functioning ACA (n = 13). ACC presented a significantly higher Ang1 and Ang2 expression when compared to ACA. Tie1 expression was higher in ACC with venous invasion and in patients with shorter overall survival. In conclusion, although none of these biomarkers showed to be useful for ACT diagnosis, the Ang–Tie pathway is active in ACT and may play a role in regulating ACT angiogenesis.

Role of FGF Receptors and Their Pathways in Adrenocortical Tumors and Possible Therapeutic Implications.

Adrenocortical carcinoma (ACC) is a rare endocrine malignancy and treatment of advanced disease is challenging. Clinical trials with multi-tyrosine kinase inhibitors in the past have yielded disappointing results. Here, we investigated fibroblast growth factor (FGF) receptors and their pathways in adrenocortical tumors as potential treatment targets. We performed real-time RT-PCR of 93 FGF pathway related genes in a cohort of 39 fresh frozen benign and malignant adrenocortical, 9 non-adrenal tissues and 4 cell lines. The expression of FGF receptors was validated in 166 formalin-fixed paraffin embedded (FFPE) tissues using RNA in situ hybridization (RNAscope) and correlated with clinical data. In malignant compared to benign adrenal tumors, we found significant differences in the expression of 16/94 FGF receptor pathway related genes. Genes involved in tissue differentiation and metastatic spread through epithelial to mesechymal transition were most strongly altered. The therapeutically targetable FGF receptors 1 and 4 were upregulated 4.6- and 6-fold, respectively, in malignant compared to benign adrenocortical tumors, which was confirmed by RNAscope in FFPE samples. High expression of FGFR1 and 4 was significantly associated with worse patient prognosis in univariate analysis. After multivariate adjustment for the known prognostic factors Ki-67 and ENSAT tumor stage, FGFR1 remained significantly associated with recurrence-free survival (HR=6.10, 95%CI: 1.78 – 20.86, p=0.004) and FGFR4 with overall survival (HR=3.23, 95%CI: 1.52 – 6.88, p=0.002). Collectively, our study supports a role of FGF pathways in malignant adrenocortical tumors. Quantification of FGF receptors may enable a stratification of ACC for the use of FGFR inhibitors in future clinical trials.

How to Differentiate Benign from Malignant Adrenocortical Tumors?

Simple SummaryAdrenocortical carcinoma is a rare cancer with a poor prognosis. Adrenal tumors are, however, commonly identified in clinical practice. Discrimination between benign and malignant adrenal tumors is of great importance to determine the appropriate treatment and follow-up strategy. This review summarizes the current diagnostic strategies and challenges to distinguish benign from malignant adrenal lesions. We will focus both on radiological and biochemical assessments, enabling diagnosis of the adrenal lesion preoperatively, and on histopathological and a wide variety of molecular assessments that can be done after surgical removal of the adrenal lesion. Furthermore, new non-invasive strategies such as liquid biopsies, in which blood samples are used to study circulating tumor cells, tumor DNA and microRNA, will be addressed in this review.Adrenocortical carcinoma (ACC) is a rare cancer with a poor prognosis. Adrenal incidentalomas are, however, commonly identified in clinical practice. Discrimination between benign and malignant adrenal tumors is of great importance considering the large differences in clinical behavior requiring different strategies. Diagnosis of ACC starts with a thorough physical examination, biochemical evaluation, and imaging. Computed tomography is the first-level imaging modality in adrenal tumors, with tumor size and Hounsfield units being important features for determining malignancy. New developments include the use of urine metabolomics, also enabling discrimination of ACC from adenomas preoperatively. Postoperatively, the Weiss score is used for diagnosis of ACC, consisting of nine histopathological criteria. Due to known limitations as interobserver variability and lack of accuracy in borderline cases, much effort has been put into new tools to diagnose ACC. Novel developments vary from immunohistochemical markers and pathological scores, to markers at the level of DNA, methylome, chromosome, or microRNA. Molecular studies have provided insights into the most promising and most frequent alterations in ACC. The use of liquid biopsies for diagnosis of ACC is studied, although in a small number of patients, requiring further investigation. In this review, current diagnostic modalities and challenges in ACC will be addressed.

Computed tomography (CT) scan identified necrosis, but is it a reliable single parameter for discerning between malignant and benign adrenocortical tumors?

BackgroundAdrenocortical carcinoma is a rare malignant tumor with a poor prognosis. Discernment of adrenocortical carcinoma in an adrenal mass through imaging studies is paramount for early surgical treatment. Recently, necrosis has been proposed as a single morphological parameter for adrenocortical carcinoma diagnosis. The aim of this study was to analyze the measures of diagnostic efficiency of necrosis and the different computed tomography-scan features related to adrenocortical carcinoma diagnosis. MethodsWe conducted a case-control study of patients surgically treated for an adrenal mass with histopathological report consistent with adrenocortical carcinoma (cases) and adrenocortical adenoma (control patients) between 1987 and 2019. Radiological features on computed tomography scan were collected. Bivariate and multivariate statistical analyses were performed for the different imaging features. The measures of diagnostic efficiency for each feature were calculated. Concordance analysis between image-detected and histopathological-identified necrosis was performed. ResultsEighteen adrenocortical carcinoma and 41 adrenocortical adenomas were included. Differences between adrenocortical carcinoma and adrenocortical adenoma were found regarding heterogeneity (odds ratio 4.53, 95% confidence interval 2.3–8.9; P < .0001), tumor size ≥4 cm (odds ratio 3.5, 95% confidence interval 2.05–6.14; P < .0001), and attenuation index ≥10 Hounsfield units (odds ratio 1.9, 95% confidence interval 1.3–2.6; P = .001). Necrosis was the most important imaging feature significantly associated with adrenocortical carcinoma (odds ratio 35, 95% confidence interval 5.1–241.6; P < .0001), present in all adrenocortical carcinoma cases. After measures of diagnostic efficiency calculation, necrosis had the highest diagnostic accuracy (98%). Cohen’s kappa for concordance between image-detected and histopathological-identified necrosis was 90.4% (P < .0001). ConclusionComputed tomography scan-detected necrosis is a reliable radiological feature to discern adrenocortical carcinoma from adrenocortical adenomas.

Differential Expression Profiles of Cell-to-Matrix-Related Molecules in Adrenal Cortical Tumors: Diagnostic and Prognostic Implications.

The molecular mechanisms of adrenocortical carcinoma development are incompletely defined. De-regulation of cellular-to-extracellular matrix interactions and angiogenesis appear among mechanisms associated to the malignant phenotype. Our aim was to investigate, employing PCR-based array profiling, 157 molecules involved in cell-to-matrix interactions and angiogenesis in a frozen series of 6 benign and 6 malignant adrenocortical neoplasms, to identify novel pathogenetic markers. In 14 genes, a significant dysregulation was detected in adrenocortical carcinomas as compared to adenomas, most of them being downregulated. Three exceptions—hyaluronan synthase 1 (HAS-1), laminin α3 and osteopontin genes—demonstrated an increased expression in adrenocortical carcinomas of 4.46, 4.23 and 20.32-fold, respectively, and were validated by immunohistochemistry on a series of paraffin-embedded tissues, including 20 adenomas and 73 carcinomas. Osteopontin protein, absent in all adenomas, was expressed in a carcinoma subset (25/73) (p = 0.0022). Laminin α3 and HAS-1 were mostly expressed in smooth muscle and endothelial cells of the vascular network of both benign and malignant adrenocortical tumors. HAS-1 was also detected in tumor cells, with a more intense pattern in carcinomas. In this group, strong expression was significantly associated with more favorable clinicopathological features. These data demonstrate that cell-to-matrix interactions are specifically altered in adrenocortical carcinoma and identify osteopontin and HAS-1 as novel potential diagnostic and prognostic biomarkers, respectively, in adrenal cortical tumors.

Differentiating Benign from Malignant Adrenocortical Tumors by a Single Morphological Parameter\u2014a Clinicopathological Study on 837 Adrenocortical Neoplasias

The morphological differentiation between benign and malignant adrenocortical tumors is an ongoing problem in diagnostic pathology. In recent decades the complex scoring systems have been widely used to calculate the probability of malignancy in adrenocortical tumors on the basis of a variety of histomorphological parameters. We herewith present a substantially simplified method to diagnose adrenocortical carcinoma by a single histomorphological parameter on a consecutive series of more than 800 adrenocortical tumors. Between January 2000 and May 2019, altogether 2305 adrenalectomies for of all types of diseases were removed, approximately 98% by minimally invasive approaches. After exclusion of pheochromocytomas, adrenal ganglioneuromas, adrenal metastases, Cushing’s disease related specimens, and Conn’s adenomas, the present series finally consisted of 837 adrenocortical tumors. All tumors were analyzed by experienced pathologists of a single institution using standard histopathological methods (Hematoxylin-Eosin and Ki67 stained sections). Clinical and histopathologic data were prospectively collected and retrospectively analyzed. Clinically, 385 patients had 420 functioning tumors (FT), and 417 had non-functioning adrenal tumors (NFT). The mean size of FT was 3.8 ± 1.4 cm (range 0.5–16 cm) and for NFT 4.5 ± 1.6 cm (range 1.5–18 cm). Histomorphologically, 32 adrenal tumors were classified as adrenocortical carcinoma (ACC; 3.8%). In all 32 cases (tumor size 9.1 ± 4.0 cm, range 3–18 cm), confluenting tumor necrosis could be demonstrated. The remaining 805 tumors (control group) completely lacked this highly reproducible single morphological feature. Ki67 levels above 10% were found in 31 of 32 ACCs and never in adrenocortical adenomas (ACA). With a mean follow-up of 8.2 years, 24 out of 32 patients primarily diagnosed as ACC developed distant metastases (75.0%), whereas all patients in the control group remained free of local or distant recurrence. We conclude that a single morphological parameter (confluenting tumor necrosis) is sufficient to predict a poor clinical course in adrenocortical tumors. The histomorphological diagnosis of this parameter is straightforward and highly reproducible.

Circulating microRNAs in the differential diagnosis of benign and malignant adrenocortical tumours

Circulating microRNAs in the differential diagnosis of benign and malignant adrenocortical tumours

Past, Present and Future of Epigenetics in Adrenocortical Carcinoma.

DNA methylation profiling has been suggested a reliable technique to distinguish between benign and malignant adrenocortical tumors, a process which with current diagnostic methods remains challenging and lacks diagnostic accuracy of borderline tumors. Accurate distinction between benign and malignant adrenal tumors is of the essence, since ACC is a rare but aggressive endocrine disease with an annual incidence of about 2.0 cases per million people per year. The estimated five-year overall survival rate for ACC patients is <50%. However, available treatment regimens are limited, in which a radical surgical resection is the only curable option. Nevertheless, up to 85% of patients with radical resection show recurrence of the local disease often with concurrent metastases. Adrenolytic therapy with mitotane, administered alone or in combination with cytotoxic agents, is currently the primary (palliative) treatment for patients with advanced ACC and is increasingly used in adjuvant setting to prevent recurrence. Prognostic stratification is important in order to individualize adjuvant therapies. On April 1, 2020, there were 7404 publications on adrenocortical carcinoma (adrenocortical carcinoma) OR adrenocortical carcinoma [MeSH Terms]) OR adrenal cortex cancer[MeSH Terms]) OR adrenal cortical carcinoma [MeSH Terms]) OR adrenal cortex neoplasm [MeSH Terms]) OR adrenocortical cancer [MeSH Terms]), yet the underlying pathophysiology and characteristics of ACC is not fully understood. Knowledge on epigenetic alterations in the process of adrenal tumorigenesis is rapidly increasing and will add to a better understanding of the pathogenesis of ACC. DNA methylation profiling has been heralded as a promising method in the prognostication of ACC. This review summarizes recent findings on epigenetics of ACC and its role in diagnosis, prognosis and therapeutic strategies.

IDH1 Expression via the R132H Mutation-Specific Antibody in Adrenocortical Neoplasias-Prognostic Impact in Carcinomas.

ContextMutations to isocitrate dehydrogenase (IDH) appear to play a prognostic or predictive role in several neoplasias. Immunohistochemical staining designed to detect a specific R132H mutation to IDH1 showed expression in the normal adrenal cortex, raising interest to study the potential role of IDH1 in the pathogenesis of adrenocortical tumors.ObjectiveThe objective of this work is to study the role of IDH1 and its mutations in adrenocortical tumors.Design and patients IDH1 R132H immunohistological staining was performed on a cohort of 197 adrenocortical tumors. The exon of the IDH1 gene was sequenced in 16 tumors.ResultsPositive IDH1 R132H immunohistochemical staining correlated with a better prognosis among patients with a malignant adrenocortical tumor. However, IDH1 R132H immunohistochemistry did not distinguish between local and metastasized tumors. We were unable to identify IDH1 mutations among our adrenocortical tumors using a targeted next-generation sequencing panel or via exon sequencing.ConclusionsAmong adrenocortical carcinomas, IDH1 R132H immunopositivity correlated with a better prognosis. Thus, IDH1 R132H immunohistochemical staining could serve as a prognostic or as a potential predictive marker in adrenocortical carcinomas. Further research is needed to identify the possible alterations in IDH1 that could explain our findings, because we identified no known mutations to the IDH1 gene.

Stathmin 1 is highly expressed and associated with survival outcome in malignant adrenocortical tumours.

Adrenocortical carcinoma (ACC) is an aggressive endocrine cancer with few molecular predictors of malignancy and survival, especially in paediatric patients. Stathmin 1 (STMN1) regulates microtubule dynamics and has been involved in the malignant phenotype of cancer cells. Recently, it was reported that STMN1 is highly expressed in ACC patients, and STMN1 silencing reduces the clonogenicity and migration of ACC cell lines. However, the prognostic significance of STMN1 and its therapeutic potential remain undefined in ACC. In the present study, STMN1 mRNA levels were significantly higher (p < 0.05) in ACC patients, especially in an advanced stage, and correlated with BUB1B and PINK1 expression, the prognostic-related genes in ACC. In paediatric tumours, high STMN1 expression was observed in both adrenocortical carcinoma and adrenocortical adenoma patients. Among the adult malignant tumours, STMN1 level was an independent predictor of survival outcomes (overall survival: hazard ratio = 6.08, p = 0.002; disease-free survival: hazard ratio = 4.65, p < 0.0001). Paclitaxel, a microtubule-stabilizing drug, reduces the activation of STMN1 and significantly decreases cell migration and invasion in ACC cell lines and ACC cells from secondary cell culture (all p < 0.0001). In summary, STMN1 expression may be of great value to clinical and pathological findings in therapeutic trials and deserves future studies in ACC.

Revisiting the role of the pathological grading in pediatric adrenal cortical tumors: results from a national cohort study with pathological review

The prognosis of malignant pediatric adrenocortical tumors is closely related to disease stage, which is used to guide perioperative treatment recommendations. However, current scoring systems are inadequate to distinguish between benign and malignant adrenocortical tumors. Robust microscopic prognostic features that could help determine perioperative therapy are also lacking. The aim of this national study was to review the prognostic value of the Wieneke scoring criteria and Ki67 labeling index in unselected pediatric adrenocortical tumors. Using strict definitions previously defined by expert pathologists, a Wieneke score was re-attributed to each tumor after an independent and centralized review. In addition, Ki67 proliferation index was performed and reviewed for each case. A total of 95 cases were selected; all were treated between 2000 and 2018 and had histopathologic material and sufficient outcome-related information available. Localized disease was found in 88% of patients. Among those with advanced disease, 6% had tumor extension into adjacent organs and 5% had metastases at diagnosis. Median follow-up was 5 years and 3 months. The 5-year PFS was 82%, 95% CI [73%–91%]. Tumor stage significantly correlated with PFS (p < 0.0001). Tumor weight up to 200 g, extra-adrenal extension and initial non-complete surgical resection were statistically associated with worse outcomes. No recurrences nor metastases occurred when the Ki67 index was < 15%. Up to two of the following five factors including tumor necrosis, adrenal capsular invasion, venous invasion, mitotic count > 15/20 high-power fields, and Ki67 index > 15%, significantly correlated with worse outcomes. We propose a pathological scoring system incorporating the Ki67 index as part of a two-step approach after disease staging to guide adjuvant treatment in pediatric adrenocortical tumors, especially after incomplete resection. These results should be validated in an independent cohort.

Minichromosome Maintenance Proteins MCM-3, MCM-5, MCM-7, and Ki-67 as Proliferative Markers in Adrenocortical Tumors.

Morphological features, combined with Ki-67 proliferative index, remain the standard for discriminating benign and malignant adrenocortical tumors. The aim of this study was to evaluate the role of minichromosome maintenance proteins MCM-3, MCM-5, MCM-7, and Ki-67 as proliferative markers in adrenocortical tumors. Specimens of 81 adrenocortical adenomas and 3 adrenocortical carcinomas were stained with antibodies against MCM-3, 5, 7 and Ki-67. Malignant tumors were characterized by a greater size (p=0.017), volume (p=0.017), and higher levels of Ki-67 (p=0.005), MCM-3 (p=0.005), MCM-7 (p=0.008), but not MCM-5 (p=0.069). The markers' levels were independent from the tumors' size and volume, the patient's age and hormonal status. ROC curves showed Ki-67 (AUC 0.984), MCM-3 (AUC 0.984), and MCM-7 (AUC 0.950), but not MCM-5 (AUC 0.820) to be reliable markers. Ki-67, MCM-3, and MCM-7, but not MCM-5 are reliable proliferative and diagnostic markers in discerning benign and malignant adrenocortical tumors.

Plasma steroid metabolome profiling for the diagnosis of adrenocortical carcinoma.

Objective Current workup for the pre-operative distinction between frequent adrenocortical adenomas (ACAs) and rare but aggressive adrenocortical carcinomas (ACCs) combines imaging and biochemical testing. We here investigated the potential of plasma steroid hormone profiling by liquid chromatography tandem mass spectrometry (LC-MS/MS) for the diagnosis of malignancy in adrenocortical tumors. Design Retrospective cohort study of prospectively collected EDTA-plasma samples in a single tertiary reference center. Methods Steroid hormone profiling by liquid chromatography tandem mass spectrometry (LC-MS/MS) in random plasma samples and logistic regression modeling. Results Fifteen steroid hormones were quantified in 66 ACAs (29 males; M) and 42 ACC (15 M) plasma samples. Significantly higher abundances in ACC vs ACA were observed for 11-deoxycorticosterone, progesterone, 17-hydroxyprogesterone, 11-deoxycortisol, DHEA, DHEAS and estradiol (all P < 0.05). Maximal areas under the curve (AUC) for discrimination between ACA and ACC for single analytes were only 0.76 (estradiol) and 0.77 (progesterone), respectively. Logistic regression modeling enabled the discovery of diagnostic signatures composed of six specific steroids for male and female patients with AUC of 0.95 and 0.94, respectively. Positive predictive values in males and females were 92 and 96%, negative predictive values 90 and 86%, respectively. Conclusion This study in a large adrenal tumor patient cohort demonstrates the value of plasma steroid hormone profiling for diagnosis of ACC. Application of LC-MS/MS analysis and of our model may facilitate diagnosis of malignancy in non-expert centers. We propose to continuously evaluate and improve diagnostic accuracy of LC-MS/MS profiling by applying machine-learning algorithms to prospectively obtained steroid hormone profiles.

Correlation of hypoxia inducible factors, vascular endothelial growth factor receptor 2, and microvessel density expressions with angiogenesis in adrenocortical tumours

Objective To explore the expressions of hypoxia inducible factor (HIF), vascular endothelial growth factor receptor 2 (VEGFR 2), and microvessel density (MVD) in adrenocortical adenoma (ACA) and adrenocortical carcinoma (ACC), in order to discuss their potential role in the development of adrenal tumours. Methods Fifty-five adrenal tumour specimens resected in the hospital with complete clinical data (including 30 ACA cases and 25 ACC cases) were examined by immunohistochemistry for the expressions of HIF-2α, HIF-1α, VEGFR 2, and MVD. Results VEGFR 2 and MVD up-regulated were found in the ACC group (P<0.05). The expression of HIF-2α and HIF-1α correlated with VEGFR 2 (P<0.05). The expressions of VEGFR 2 and MVD were related to some clinicopathological features (P<0.05). Additionally, tumour size, expression of VEGFR 2 and MVD were independently associated with ACC (P<0.05). Conclusions The high expression of HIF-2α, VEGFR 2, and MVD in adrenal tumours suggested their roles in tumour angiogenesis, which indicated that anti-angiogenesis therapies deserve intensive studies for malignant adrenocortical tumours. (Chin J Endocrinol Metab, 2018, 34: 721-725) Key words: Adrenal tumour; Hypoxia inducible factor-2α; Hypoxia inducible factor-1α; Vascular endothelial growth factor receptor 2; Microvessel density; Immunohistochemistry

BCL9 Upregulation in Adrenocortical Carcinoma: A Novel Wnt/β-Catenin Activating Event Driving Adrenocortical Malignancy

B-Cell CLL/Lymphoma 9 (BCL9) is a recently described oncogene that promotes tumorigenesis via activation of the Wnt/β-Catenin signaling cascade. Though constitutively active Wnt/β-Catenin signaling is a molecular hallmark of adrenocortical carcinoma (ACC), a potential role for BCL9 to promote Wnt/β-Catenin pathway dysregulation in adrenocortical tumorigenesis remains to be elucidated. This study involved a retrospective analysis at a tertiary academic referral center of 27 patients with adrenocortical tumors, including invitro investigation of BCL9. The Wnt signaling pathway polymerase chain reaction (PCR) array analysis queried comparative mRNA expression profiles of canonical Wnt pathway components including BCL9. Real-time quantitative PCR determined BCL9 mRNA expression levels in tumor samples. Expression levels of BCL9 mRNA were evaluated for correlation with tumor characteristics. RNA interference (RNAi) gene silencing was performed in ACC cell lines SW-13 and NCI-H295R to test the role of BCL9 on clonal cell growth. Expression levels of the BCL9 gene were found to be significantly elevated in ACC compared with normal adrenal tissue (p < 0.05). Furthermore, a significant correlation was observed between BCL9 mRNA levels and the malignant status of adrenocortical tumors (p<0.05). RNAi gene silencing of BCL9 inhibited clonal cell growth of SW-13 cells (p < 0.05), but not NCI-H295R cells, which carry a constitutively active β-Catenin mutation. The gene BCL9 is overexpressed in malignant adrenocortical tumors and promotes clonal ACC cell growth. These findings suggest that BCL9 overexpression may serve as an alternative driver of constitutive Wnt/β-Catenin activation in ACC and could represent a potential molecular and diagnostic marker of tumor malignancy.

Pathogenic and diagnostic roles of microRNAs in adrenocortical tumours

Adrenocortical tumours are quite prevalent. Most of these tumours are benign, hormonally inactive adrenocortical adenomas. Rare hormone-secreting adrenocortical adenomas are associated with severe clinical consequences, whereas the prognosis of the rare adrenocortical cancer is rather poor in its advanced stages. The pathogenesis of these tumours is only partly elucidated. MicroRNAs are small, non-coding RNA molecules that are pivotal in the regulation of several basic cell biological processes via the posttranscriptional regulation of gene expression. Their altered expression has been described in many tumours. Several tissue microRNAs, such as miR-483-5p, miR-503, miR-210, miR-335 and miR-195 were found to be differentially expressed among benign and malignant adrenocortical tumours, and these could also have pathogenic relevance. Due to their tissue specific and stable expression, microRNAs can be exploited in diagnostics as well. As the histological diagnosis of adrenocortical malignancy is difficult, microRNAs might be of help in the establishment of malignancy. Novel data show that microRNAs are secreted in various body fluids, projecting their applicability as biomarkers as part of liquid biopsy. In this review, we attempt to present a synopsis on the pathogenic relevance of microRNAs in adrenocortical tumours and their potential diagnostic applicability. Orv Hetil. 2018; 159(7): 245-251.

Clinicopathological description of 43 oncocytic adrenocortical tumors: importance of Ki-67 in histoprognostic evaluation

Oncocytic adrenocortical tumors are a rare subtype of adrenal tumors with challenging diagnosis and histoprognostic assessment. It is usually believed that oncocytic adrenocortical tumors have a more indolent clinical behavior than conventional adrenocortical tumors. As the Weiss score overestimates the malignancy of oncocytic adrenocortical tumors owing to intrinsic parameters, alternative scores have been proposed. The Lin–Weiss–Bisceglia score is currently recommended. We performed a large nationwide multicenter retrospective clinicopathologic study of oncocytic adrenocortical tumors. Among the 43 patients in our cohort, 40 patients were alive without disease, 2 patients died of their disease and 1 patient was alive with relapse after a median follow-up of 38 months (20–59). Our data revealed that over 50% of the oncocytic adrenocortical tumor cases were diagnosed as carcinoma whatever the classification systems used, including the Lin–Weiss–Bisceglia score. The exception is the Helsinki score, which incorporates the Ki-67 proliferation index and was the most specific prognostic score for oncocytic adrenocortical tumor malignancy without showing a loss in sensitivity. A comparison of malignant oncocytic adrenocortical tumors with conventional adrenocortical carcinomas matched for age, sex, ENS@T stage and surgical resection status showed significant better overall survival of malignant oncocytic adrenocortical tumors.