TY - JOUR A1 - Arlt, Wiebke A1 - Biehl, Michael A1 - Taylor, Angela E. A1 - Hahner, Stefanie A1 - Libé, Rossella A1 - Hughes, Beverly A. A1 - Schneider, Petra A1 - Smith, David J. A1 - Stiekema, Han A1 - Krone, Nils A1 - Porfiri, Emilio A1 - Opocher, Giuseppe A1 - Bertherat, Jerôme A1 - Mantero, Franco A1 - Allolio, Bruno A1 - Terzolo, Massimo A1 - Nightingale, Peter A1 - Shackleton, Cedric H. L. A1 - Bertagna, Xavier A1 - Fassnacht, Martin A1 - Stewart, Paul M. T1 - Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors JF - The Journal of Clinical Endocrinology & Metabolism N2 - Context: Adrenal tumors have a prevalence of around 2% in the general population. Adrenocortical carcinoma (ACC) is rare but accounts for 2–11% of incidentally discovered adrenal masses. Differentiating ACC from adrenocortical adenoma (ACA) represents a diagnostic challenge in patients with adrenal incidentalomas, with tumor size, imaging, and even histology all providing unsatisfactory predictive values. Objective: Here we developed a novel steroid metabolomic approach, mass spectrometry-based steroid profiling followed by machine learning analysis, and examined its diagnostic value for the detection of adrenal malignancy. Design: Quantification of 32 distinct adrenal derived steroids was carried out by gas chromatography/mass spectrometry in 24-h urine samples from 102 ACA patients (age range 19–84 yr) and 45 ACC patients (20–80 yr). Underlying diagnosis was ascertained by histology and metastasis in ACC and by clinical follow-up [median duration 52 (range 26–201) months] without evidence of metastasis in ACA. Steroid excretion data were subjected to generalized matrix learning vector quantization (GMLVQ) to identify the most discriminative steroids. Results: Steroid profiling revealed a pattern of predominantly immature, early-stage steroidogenesis in ACC. GMLVQ analysis identified a subset of nine steroids that performed best in differentiating ACA from ACC. Receiver-operating characteristics analysis of GMLVQ results demonstrated sensitivity = specificity = 90% (area under the curve = 0.97) employing all 32 steroids and sensitivity = specificity = 88% (area under the curve = 0.96) when using only the nine most differentiating markers. Conclusions: Urine steroid metabolomics is a novel, highly sensitive, and specific biomarker tool for discriminating benign from malignant adrenal tumors, with obvious promise for the diagnostic work-up of patients with adrenal incidentalomas. KW - adrenal cortex hormones KW - urine KW - adrenal cortex neoplasms KW - mass spectrometry KW - metabolomics Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-154682 VL - 96 IS - 12 SP - 3775 EP - 3784 ER - TY - JOUR A1 - Weigand, Isabel A1 - Ronchi, Cristina L. A1 - Rizk-Rabin, Marthe A1 - Dalmazi, Guido Di A1 - Wild, Vanessa A1 - Bathon, Kerstin A1 - Rubin, Beatrice A1 - Calebiro, Davide A1 - Beuschlein, Felix A1 - Bertherat, Jérôme A1 - Fassnacht, Martin A1 - Sbiera, Silviu T1 - Differential expression of the protein kinase A subunits in normal adrenal glands and adrenocortical adenomas JF - Scientific Reports N2 - Somatic mutations in protein kinase A catalytic α subunit (PRKACA) were found to be causative for 30-40% of cortisol-producing adenomas (CPA) of the adrenal gland, rendering PKA signalling constitutively active. In its resting state, PKA is a stable and inactive heterotetramer, consisting of two catalytic and two regulatory subunits with the latter inhibiting PKA activity. The human genome encodes three different PKA catalytic subunits and four different regulatory subunits that are preferentially expressed in different organs. In normal adrenal glands all regulatory subunits are expressed, while CPA exhibit reduced protein levels of the regulatory subunit IIβ. In this study, we linked for the first time the loss of RIIβ protein levels to the PRKACA mutation status and found the down-regulation of RIIβ to arise post-transcriptionally. We further found the PKA subunit expression pattern of different tumours is also present in the zones of the normal adrenal cortex and demonstrate that the different PKA subunits have a differential expression pattern in each zone of the normal adrenal gland, indicating potential specific roles of these subunits in the regulation of different hormones secretion. KW - kinases KW - immunohistochemistry Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-157952 VL - 7 IS - 49 ER - TY - JOUR A1 - Siebert, Claudia A1 - Ciato, Denis A1 - Murakami, Masanori A1 - Frei-Stuber, Ludwig A1 - Perez-Rivas, Luis Gustavo A1 - Monteserin-Garcia, José Luis A1 - Nölting, Svenja A1 - Maurer, Julian A1 - Feuchtinger, Annette A1 - Walch, Axel K. A1 - Haak, Harm R. A1 - Bertherat, Jérôme A1 - Mannelli, Massimo A1 - Fassnacht, Martin A1 - Korpershoek, Esther A1 - Reincke, Martin A1 - Stalla, Günter K. A1 - Hantel, Constanze A1 - Beuschlein, Felix T1 - Heat Shock Protein 90 as a Prognostic Marker and Therapeutic Target for Adrenocortical Carcinoma JF - Frontiers in Endocrinology N2 - Background: Adrenocortical carcinoma (ACC) is a rare tumor entity with restricted therapeutic opportunities. HSP90 (Heat Shock Protein 90) chaperone activity is fundamental for cell survival and contributes to different oncogenic signaling pathways. Indeed, agents targeting HSP90 function have shown therapeutic efficacy in several cancer types. We have examined the expression of HSP90 in different adrenal tumors and evaluated the use of HSP90 inhibitors in vitro as possible therapy for ACC. Methods: Immunohistochemical expression of HSP90 isoforms was investigated in different adrenocortical tumors and associated with clinical features. Additionally, a panel of N-terminal (17-allylamino-17-demethoxygeldanamycin (17-AAG), luminespib, and ganetespib) and C-terminal (novobiocin and silibinin) HSP90 inhibitors were tested on various ACC cell lines. Results: Within adrenocortical tumors, ACC samples exhibited the highest expression of HSP90β. Within a cohort of ACC patients, HSP90β expression levels were inversely correlated with recurrence-free and overall survival. In functional assays, among five different compounds tested luminespib and ganetespib induced a significant decrease in cell viability in single as well as in combined treatments with compounds of the clinically used EDP-M scheme (etoposide, doxorubicin, cisplatin, mitotane). Inhibition of cell viability correlated furthermore with a decrease in proliferation, in cell migration and an increase in apoptosis. Moreover, analysis of cancer pathways indicated a modulation of the ERK1/2—and AKT—pathways by luminespib and ganetespib treatment. Conclusions: Our findings emphasize HSP90 as a marker with prognostic impact and promising target with N-terminal HSP90 inhibitors as drugs with potential therapeutic efficacy toward ACC. KW - adrenal gland KW - cortisol KW - N-terminal HSP90 inhibitors KW - C-terminal HSP90 inhibitors KW - prognostic marker Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-238029 VL - 10 ER -