Literature DB >> 24132471

Calculating optimal surveillance for detection of von Hippel-Lindau-related manifestations.

Roeliene C Kruizinga1, Wim J Sluiter, Elisabeth G E de Vries, Bernard A Zonnenberg, Cornelis J Lips, Anouk N A van der Horst-Schrivers, Annemiek M E Walenkamp, Thera P Links.   

Abstract

von Hippel-Lindau (VHL) mutation carriers develop benign and malignant tumors, requiring regular surveillance. The aim of this study was to calculate the optimal organ-specific age to initiate surveillance and optimal intervals to detect initial and subsequent VHL-related manifestations. In this study, we compare these results with the current VHL surveillance guidelines. We collected data from 82 VHL mutation carriers in the Dutch VHL surveillance program. The cumulative proportion of carriers diagnosed with a first VHL-related manifestation was estimated by the Kaplan-Meier method. The Poisson distribution model was used to calculate average time to detection of the first VHL-related manifestation and subsequent manifestations. We used this to calculate the optimal organ-specific age to initiate surveillance and the surveillance interval that results in a detection probability of 5%. The calculated organ-specific ages to initiate surveillance were 0 years (birth) for adrenal glands, 7 years for the retina, 14 years for the cerebellum, 15 years for the spinal cord, 16 years for pancreas, and 18 years for the kidneys. The calculated surveillance intervals were 4 years for the adrenal glands, biennially for the retina and pancreas, and annually for the cerebellum, spinal cord, and kidneys. Compared with current VHL guidelines, the calculated starting age of surveillance was 6 years later for the retina and 5 years earlier for adrenal glands. The surveillance intervals were two times longer for the retina and four times longer for the adrenal glands. To attain a 5% detection probability rate per organ, our mathematical model indicates that several modifications of current VHL surveillance guidelines should be considered.

Entities:  

Keywords:  VHL; second hit; surveillance; von Hippel–Lindau

Mesh:

Substances:

Year:  2013        PMID: 24132471     DOI: 10.1530/ERC-13-0308

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  14 in total

1.  Prevalence of Cancer at Baseline Screening in the National Cancer Institute Li-Fraumeni Syndrome Cohort.

Authors:  Phuong L Mai; Payal P Khincha; Jennifer T Loud; Rosamma M DeCastro; Renée C Bremer; June A Peters; Chia-Ying Liu; David A Bluemke; Ashkan A Malayeri; Sharon A Savage
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

2.  Genotype phenotype correlation in Asian Indian von Hippel-Lindau (VHL) syndrome patients with pheochromocytoma/paraganglioma.

Authors:  Nilesh Lomte; Sanjeet Kumar; Vijaya Sarathi; Reshma Pandit; Manjunath Goroshi; Swati Jadhav; Anurag R Lila; Tushar Bandgar; Nalini S Shah
Journal:  Fam Cancer       Date:  2018-07       Impact factor: 2.375

3.  Observational study of population genomic screening for variants associated with endocrine tumor syndromes in a large, healthcare-based cohort.

Authors:  Juliann M Savatt; Nicole M Ortiz; Gretchen M Thone; Whitney S McDonald; Melissa A Kelly; Alexander S F Berry; Madiha M Alvi; Miranda L G Hallquist; Jennifer Malinowski; Nicholas C Purdy; Marc S Williams; Amy C Sturm; Adam H Buchanan
Journal:  BMC Med       Date:  2022-06-07       Impact factor: 11.150

4.  Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau disease.

Authors:  Andreea Chiorean; Kirsten M Farncombe; Sean Delong; Veronica Andric; Safa Ansar; Clarissa Chan; Kaitlin Clark; Arpad M Danos; Yizhuo Gao; Rachel H Giles; Anna Goldenberg; Payal Jani; Kilannin Krysiak; Lynzey Kujan; Samantha Macpherson; Eamonn R Maher; Liam G McCoy; Yasser Salama; Jason Saliba; Lana Sheta; Malachi Griffith; Obi L Griffith; Lauren Erdman; Arun Ramani; Raymond H Kim
Journal:  Hum Mutat       Date:  2022-05-10       Impact factor: 4.700

Review 5.  Von Hippel-Lindau disease.

Authors:  Prashant Chittiboina; Russell R Lonser
Journal:  Handb Clin Neurol       Date:  2015

Review 6.  Metabologenomics of Phaeochromocytoma and Paraganglioma: An Integrated Approach for Personalised Biochemical and Genetic Testing.

Authors:  Graeme Eisenhofer; Barbara Klink; Susan Richter; Jacques Wm Lenders; Mercedes Robledo
Journal:  Clin Biochem Rev       Date:  2017-04

7.  Cumulative Radiation Exposures from CT Screening and Surveillance Strategies for von Hippel-Lindau-associated Solid Pancreatic Tumors.

Authors:  Amit Tirosh; Neige Journy; Les R Folio; Choonsik Lee; Christiane Leite; Jianhua Yao; William Kovacs; W Marston Linehan; Ashkan Malayeri; Electron Kebebew; Amy Berrington de González
Journal:  Radiology       Date:  2018-10-09       Impact factor: 11.105

8.  Risk of new tumors in von Hippel-Lindau patients depends on age and genotype.

Authors:  Marie Louise Mølgaard Binderup; Esben Budtz-Jørgensen; Marie Luise Bisgaard
Journal:  Genet Med       Date:  2015-04-02       Impact factor: 8.822

9.  Clinical and Laboratory Characteristics of a Large Iranian Kindred Afflicted with Von Hippel Lindau Disease.

Authors:  Ali Asghar Mir Saeid Ghazi; Atieh Amouzegar; Azita Zadeh-Vakili; Abdolreza Sheikh Rezaei; Alireza Amirbaigloo; Marjan Zarif Yeganeh; Hasan Hashemi; Fereidoun Azizi
Journal:  Int J Endocrinol Metab       Date:  2021-03-16

10.  Calculating the optimal surveillance for head and neck paraganglioma in SDHB-mutation carriers.

Authors:  Karin Eijkelenkamp; Thamara E Osinga; Mirjam M de Jong; Wim J Sluiter; Robin P F Dullaart; Thera P Links; Michiel N Kerstens; Anouk N A van der Horst-Schrivers
Journal:  Fam Cancer       Date:  2017-01       Impact factor: 2.375

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