Irina Bancos1, Wiebke Arlt. 1. aDivision of Endocrinology, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA bInstitute of Metabolism and Systems Research (IMSR), University of Birmingham cCentre for Endocrinology, Diabetes and Metabolism (CEDAM), Birmingham Health Partners, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Abstract
PURPOSE OF REVIEW: Adrenal masses are highly prevalent, found in 5% of the population. Differentiation of benign adrenocortical adenoma from adrenocortical carcinoma is currently hampered by the poor specificity and limited evidence base of imaging tests. This review summarizes the results of studies published to date on urine steroid metabolite profiling for distinguishing benign from malignant adrenal masses. RECENT FINDINGS: Three studies have described cohorts of at least 100 patients with adrenal tumors showing significant differences between urinary steroid metabolite excretions according to the nature of the underlying lesion, suggesting significant value of steroid metabolite profiling as a highly accurate diagnostic test. SUMMARY: Steroid profiling is emerging as a powerful novel diagnostic tool with a significant potential for improving the management for patients with adrenal tumors. Although the current studies use gas chromatography-mass spectrometry for proof of concept, widespread use of the method in routine clinical care will depend on transferring the approach to high-throughput tandem mass spectrometry platforms. The use of computational data analysis in conjunction with urine steroid metabolite profiling, that is, steroid metabolomics, adds accuracy and precision.
PURPOSE OF REVIEW: Adrenal masses are highly prevalent, found in 5% of the population. Differentiation of benign adrenocortical adenoma from adrenocortical carcinoma is currently hampered by the poor specificity and limited evidence base of imaging tests. This review summarizes the results of studies published to date on urine steroid metabolite profiling for distinguishing benign from malignant adrenal masses. RECENT FINDINGS: Three studies have described cohorts of at least 100 patients with adrenal tumors showing significant differences between urinary steroid metabolite excretions according to the nature of the underlying lesion, suggesting significant value of steroid metabolite profiling as a highly accurate diagnostic test. SUMMARY: Steroid profiling is emerging as a powerful novel diagnostic tool with a significant potential for improving the management for patients with adrenal tumors. Although the current studies use gas chromatography-mass spectrometry for proof of concept, widespread use of the method in routine clinical care will depend on transferring the approach to high-throughput tandem mass spectrometry platforms. The use of computational data analysis in conjunction with urine steroid metabolite profiling, that is, steroid metabolomics, adds accuracy and precision.
Authors: Pál Perge; Ábel Decmann; Raffaele Pezzani; Irina Bancos; Ambrogio Fassina; Michaela Luconi; Letizia Canu; Miklós Tóth; Marco Boscaro; Attila Patócs; Peter Igaz Journal: Endocrine Date: 2018-01-03 Impact factor: 3.633
Authors: Marta Araujo-Castro; Pablo Valderrábano; Héctor F Escobar-Morreale; Felicia A Hanzu; Gregori Casals Journal: Endocrine Date: 2020-11-21 Impact factor: 3.633
Authors: Thomas G Papathomas; Na Sun; Vasileios Chortis; Angela E Taylor; Wiebke Arlt; Susan Richter; Graeme Eisenhofer; Gerard Ruiz-Babot; Leonardo Guasti; Axel Karl Walch Journal: Histochem Cell Biol Date: 2019-02-06 Impact factor: 4.304
Authors: Irina Bancos; Angela E Taylor; Vasileios Chortis; Alice J Sitch; Carl Jenkinson; Caroline J Davidge-Pitts; Katharina Lang; Stylianos Tsagarakis; Magdalena Macech; Anna Riester; Timo Deutschbein; Ivana D Pupovac; Tina Kienitz; Alessandro Prete; Thomas G Papathomas; Lorna C Gilligan; Cristian Bancos; Giuseppe Reimondo; Magalie Haissaguerre; Ljiljana Marina; Marianne A Grytaas; Ahmed Sajwani; Katharina Langton; Hannah E Ivison; Cedric H L Shackleton; Dana Erickson; Miriam Asia; Sotiria Palimeri; Agnieszka Kondracka; Ariadni Spyroglou; Cristina L Ronchi; Bojana Simunov; Danae A Delivanis; Robert P Sutcliffe; Ioanna Tsirou; Tomasz Bednarczuk; Martin Reincke; Stephanie Burger-Stritt; Richard A Feelders; Letizia Canu; Harm R Haak; Graeme Eisenhofer; M Conall Dennedy; Grethe A Ueland; Miomira Ivovic; Antoine Tabarin; Massimo Terzolo; Marcus Quinkler; Darko Kastelan; Martin Fassnacht; Felix Beuschlein; Urszula Ambroziak; Dimitra A Vassiliadi; Michael W O'Reilly; William F Young; Michael Biehl; Jonathan J Deeks; Wiebke Arlt Journal: Lancet Diabetes Endocrinol Date: 2020-07-23 Impact factor: 32.069
Authors: Mark Sherlock; Andrew Scarsbrook; Afroze Abbas; Sheila Fraser; Padiporn Limumpornpetch; Rosemary Dineen; Paul M Stewart Journal: Endocr Rev Date: 2020-12-01 Impact factor: 19.871
Authors: Nicole M Iñiguez-Ariza; Jacob D Kohlenberg; Danae A Delivanis; Robert P Hartman; Diana S Dean; Melinda A Thomas; Muhammad Z Shah; Justine Herndon; Travis J McKenzie; Wiebke Arlt; William F Young; Irina Bancos Journal: Mayo Clin Proc Innov Qual Outcomes Date: 2017-12-21