Santa Casa de São Paulo School of Medical Sciences, São Paulo, SP, Brazil
Fleury Group, São Paulo, SP, Brazil
Search for other papers by José V Lima Jr in
Google Scholar
PubMed
Search for other papers by Nilza M Scalissi in
Google Scholar
PubMed
Search for other papers by Kelly C de Oliveira in
Google Scholar
PubMed
Search for other papers by Susan C Lindsey in
Google Scholar
PubMed
Search for other papers by Caroline Olivati in
Google Scholar
PubMed
Search for other papers by Elisa Napolitano Ferreira in
Google Scholar
PubMed
Search for other papers by Claudio E Kater in
Google Scholar
PubMed
deposited in PubMed, Arup, ClinVar, and Varsome). The 23 genes analyzed were ATM, ATR, CDKN2A, EGLN1, FH, HRAS, KIF1B, KMT2D, MAX, MDH2, MERTK, MET, NF1, PIK3CA, RET, SDHA, SDHAF2, SDHB, SDHC, SDHD, TMEM127, TP53, and VHL. The genetic analysis of 47
Search for other papers by Christie G Turin in
Google Scholar
PubMed
Search for other papers by Molly M Crenshaw in
Google Scholar
PubMed
Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
Search for other papers by Lauren Fishbein in
Google Scholar
PubMed
skull base to pelvis every 2 years. MAX- associated PCC/PGL Pheochromocytoma, paraganglioma At diagnosis: Plasma-free metanephrines or 24-h urine-fractionated metanephrines and full-body MRI from skull base to pelvis. Annual biochemical
Search for other papers by Catherine M Skefos in
Google Scholar
PubMed
Search for other papers by Pamela L Brock in
Google Scholar
PubMed
Search for other papers by Erica Blouch in
Google Scholar
PubMed
Search for other papers by Samantha E Greenberg in
Google Scholar
PubMed
). This hereditary predisposition falls under the spectrum of hereditary paraganglioma–pheochromocytoma (PPGL) syndromes. Additional genes that cause hereditary PPGL include the other SDHx genes ( SDHB , SDHC , SDHD , and SDHAF2 ), MAX , and TMEM127
Search for other papers by Nada Younes in
Google Scholar
PubMed
Search for other papers by Isabelle Bourdeau in
Google Scholar
PubMed
Search for other papers by Harold Olney in
Google Scholar
PubMed
Search for other papers by Paul Perrotte in
Google Scholar
PubMed
Search for other papers by Odile Prosmanne in
Google Scholar
PubMed
Search for other papers by Mathieu Latour in
Google Scholar
PubMed
Search for other papers by David Roberge in
Google Scholar
PubMed
Search for other papers by André Lacroix in
Google Scholar
PubMed
, pancreas and anterior cortex of the left kidney. The mass was highly avid on FDG-PET (standardized uptake value, SUV max 22) with area of calcification and necrosis. No other hypermetabolic lesions or adenopathies were found. The consultant hematology
Search for other papers by Sofia Maria Lider Burciulescu in
Google Scholar
PubMed
Search for other papers by Caren Randon in
Google Scholar
PubMed
Search for other papers by Frederic Duprez in
Google Scholar
PubMed
Search for other papers by Wouter Huvenne in
Google Scholar
PubMed
Search for other papers by David Creytens in
Google Scholar
PubMed
Search for other papers by Kathleen B M Claes in
Google Scholar
PubMed
Search for other papers by Robin de Putter in
Google Scholar
PubMed
Search for other papers by Guy T’Sjoen in
Google Scholar
PubMed
Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
Search for other papers by Corin Badiu in
Google Scholar
PubMed
Search for other papers by Bruno Lapauw in
Google Scholar
PubMed
included the most frequently mutated genes in PPGL: RET, VHL, NF1, MAX, SDHA, SDHB, SDHC, SDHD, SDHAF2, and TMEM127 . Depending on phenotypic features and/or year of diagnosis, patients were tested for a variable number of these genes. For patients with
Search for other papers by Mark S Stein in
Google Scholar
PubMed
Search for other papers by Victor Kalff in
Google Scholar
PubMed
Sir Peter MacCallum Department of Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Search for other papers by Scott G Williams in
Google Scholar
PubMed
Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Search for other papers by Declan G Murphy in
Google Scholar
PubMed
Search for other papers by Peter G Colman in
Google Scholar
PubMed
Sir Peter MacCallum Department of Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Search for other papers by Michael S Hofman in
Google Scholar
PubMed
osseous. Given the limited number of exendin-avid lesions, the proportion of total administered dose expressed by these avid lesions was not calculated. However, the SUV max of these lesions was 4.3 (left proximal humerus), 1.5 (left posterior 8th rib
Search for other papers by Sylvia L Asa in
Google Scholar
PubMed
Search for other papers by Shereen Ezzat in
Google Scholar
PubMed
associated with other NETs. These include multiple endocrine neoplasia types 1, 4 and 5 due to mutations in MEN1, CDKN1B and MAX , respectively, all of which are implicated in the development of NETs in other organs ( Ezzat et al. 2018 , Asa et al
Search for other papers by Eleanor Fewings in
Google Scholar
PubMed
Search for other papers by Serena Khoo Sert Kim in
Google Scholar
PubMed
Search for other papers by Alexey Larionov in
Google Scholar
PubMed
Search for other papers by Alison Marker in
Google Scholar
PubMed
Search for other papers by Olivier Giger in
Google Scholar
PubMed
Search for other papers by Ashley Shaw in
Google Scholar
PubMed
Search for other papers by Graeme R Clark in
Google Scholar
PubMed
Search for other papers by Vasilis Kosmoliaptsis in
Google Scholar
PubMed
Search for other papers by Benjamin G Challis in
Google Scholar
PubMed
East Anglian Medical Genetics Service, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
Search for other papers by Marc Tischkowitz in
Google Scholar
PubMed
Department of Endocrinology, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
Search for other papers by Ruth T Casey in
Google Scholar
PubMed
Cortisol Cortisol Site Left Left Right Right Left Right Left Right Left Left Max diameter (mm) 105 205 130 105 135 78 38 170 68 20 Imaging characterization N/A N/A N/A Indeterminate
Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center Belgrade, Belgrade, Serbia
Search for other papers by Sandra Pekic in
Google Scholar
PubMed
Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center Belgrade, Belgrade, Serbia
Search for other papers by Marko Stojanovic in
Google Scholar
PubMed
Search for other papers by Vera Popovic in
Google Scholar
PubMed
1 and 4, familial isolated pituitary adenomas, succinate dehydrogenase mutations ( SDHA , SDHB , SDHC , SDHD , MAX , TMEM 127 ) and other conditions (Mc Cune Albright Sy, Carney complex, neurofibromatosis type 1, von Hippel–Lindau syndrome and