@article{LacombeSoaresMarianietal.2020, author = {Lacombe, Amanda Meneses Ferreira and Soares, Iber{\^e} Cauduro and Mariani, Beatriz Marinho de Paula and Nishi, Mirian Yumie and Bezerra-Neto, Jo{\~a}o Evangelista and Charchar, Helaine da Silva and Brondani, Vania Balderrama and Tanno, Fabio and Srougi, Victor and Chambo, Jos{\´e} Luiz and Costa de Freitas, Ricardo Miguel and Mendonca, Berenice Bilharinho and Hoff, Ana O. and Almeida, Madson Q. and Weigand, Isabel and Kroiss, Matthias and Zerbini, Maria Claudia Nogueira and Fragoso, Maria Candida Barisson Villares}, title = {Sterol O-acyl transferase 1 as a prognostic marker of adrenocortical carcinoma}, series = {Cancers}, volume = {12}, journal = {Cancers}, number = {1}, issn = {2072-6694}, doi = {10.3390/cancers12010247}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200857}, year = {2020}, abstract = {Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with an unfavorable prognosis. Despite the poor prognosis in the majority of patients, no improvements in treatment strategies have been achieved. Therefore, the discovery of new prognostic biomarkers is of enormous interest. Sterol-O-acyl transferase 1 (SOAT1) is involved in cholesterol esterification and lipid droplet formation. Recently, it was demonstrated that SOAT1 inhibition leads to impaired steroidogenesis and cell viability in ACC. To date, no studies have addressed the impact of SOAT1 expression on ACC prognosis and clinical outcomes. We evaluated SOAT1 expression by quantitative real-time polymerase chain reaction and immunohistochemistry in a tissue microarray of 112 ACCs (Weiss score ≥ 3) from adults treated in a single tertiary center in Brazil. Two independent pathologists evaluated the immunohistochemistry results through a semiquantitative approach (0-4). We aimed to evaluate the correlation between SOAT1 expression and clinical, biochemical and anatomopathological parameters, recurrence-free survival (RFS), progression-free survival (PFS), and overall survival (OS). SOAT1 protein expression was heterogeneous in this cohort, 37.5\% of the ACCs demonstrated a strong SOAT1 protein expression (score > 2), while 62.5\% demonstrated a weak or absent protein expression (score ≤ 2). Strong SOAT1 protein expression correlated with features of high aggressiveness in ACC, such as excessive tumor cortisol secretion (p = 0.01), an advanced disease stage [European Network for the Study of Adrenal Tumors (ENSAT) staging system 3 and 4 (p = 0.011)] and a high Ki67 index (p = 0.002). In multivariate analysis, strong SOAT1 protein expression was an independent predictor of a reduced OS (hazard ratio (HR) 2.15, confidence interval (CI) 95\% 1.26-3.66; p = 0.005) in all patients (n = 112), and a reduced RFS (HR 2.1, CI 95\% 1.09-4.06; p = 0.027) in patients with localized disease at diagnosis (n = 83). Our findings demonstrated that SOAT1 protein expression has prognostic value in ACC and reinforced the importance of investigating SOAT1 as a possible therapeutic target for patients with ACC.}, language = {en} } @article{PeixotoJanakiRamanSchlickeretal.2021, author = {Peixoto, Joana and Janaki-Raman, Sudha and Schlicker, Lisa and Schmitz, Werner and Walz, Susanne and Winkelkotte, Alina M. and Herold-Mende, Christel and Soares, Paula and Schulze, Almut and Lima, Jorge}, title = {Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines}, series = {Cancers}, volume = {13}, journal = {Cancers}, number = {6}, issn = {2072-6694}, doi = {10.3390/cancers13061327}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-234110}, year = {2021}, abstract = {Altered metabolic processes contribute to carcinogenesis by modulating proliferation, survival and differentiation. Tumours are composed of different cell populations, with cancer stem-like cells being one of the most prominent examples. This specific pool of cells is thought to be responsible for cancer growth and recurrence and plays a particularly relevant role in glioblastoma (GBM), the most lethal form of primary brain tumours. Here, we have analysed the transcriptome and metabolome of an established GBM cell line (U87) and a patient-derived GBM stem-like cell line (NCH644) exposed to neurosphere or monolayer culture conditions. By integrating transcriptome and metabolome data, we identified key metabolic pathways and gene signatures that are associated with stem-like and differentiated states in GBM cells, and demonstrated that neurospheres and monolayer cells differ substantially in their metabolism and gene regulation. Furthermore, arginine biosynthesis was identified as the most significantly regulated pathway in neurospheres, although individual nodes of this pathway were distinctly regulated in the two cellular systems. Neurosphere conditions, as opposed to monolayer conditions, cause a transcriptomic and metabolic rewiring that may be crucial for the regulation of stem-like features, where arginine biosynthesis may be a key metabolic pathway. Additionally, TCGA data from GBM patients showed significant regulation of specific components of the arginine biosynthesis pathway, providing further evidence for the importance of this metabolic pathway in GBM.}, language = {en} }