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Characterization of a severe case of PIK3CA‐related overgrowth at autopsy by droplet digital polymerase chain reaction and report of PIK3CA sequencing in 22 patients.

Authors :
Piacitelli, Andrew M.
Jensen, Dana M.
Brandling‐Bennett, Heather
Gray, Megan Mariner
Batra, Maneesh
Gust, Juliane
Thaker, Ameet
Paschal, Catherine
Tsuchiya, Karen
Pritchard, Colin C.
Perkins, Jonathan
Mirzaa, Ghayda M.
Bennett, James T.
Source :
American Journal of Medical Genetics. Part A; Nov2018, Vol. 176 Issue 11, p2301-2308, 8p
Publication Year :
2018

Abstract

PIK3CA‐related overgrowth spectrum (PROS) refers to a group of disorders of segmental overgrowth of a wide variety of tissues as well as venous and lymphatic malformations. Clinical and molecular diagnosis can be challenging due to phenotypic heterogeneity and difficulties detecting low‐level mosaicism using standard methods. Here, we report a patient with a severe presentation of PIK3CA‐related overgrowth with analysis of 27 posthumously collected tissues by droplet digital polymerase chain reaction (PCR) at autopsy. This patient had a complicated medical course, with coagulopathy, ischemic brain injury, and sepsis resulting in multi‐organ failure and death at age 2 months despite sirolimus therapy. Five of the 27 tissues analyzed possessed a mosaic PIK3CA mutation (p.E545K), with mutation levels ranging from 3 to 20% across affected tissues. We found no correlation between tissue‐specific disease severity and mutation levels, likely reflecting sampling limitations. We also tested a series of 22 individuals with somatic overgrowth and/or vascular‐lymphatic malformations using a targeted next generation sequencing panel and found PIK3CA mutations in nine individuals, identifying three novel PIK3CA variants. This report expands the clinical and molecular spectrum of PROS, emphasizes that different molecular methods can be complimentary in the diagnosis of these disorders, and highlights the risk of coagulopathy in a subset of patients with PIK3CA‐related overgrowth. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15524825
Volume :
176
Issue :
11
Database :
Complementary Index
Journal :
American Journal of Medical Genetics. Part A
Publication Type :
Academic Journal
Accession number :
133464709
Full Text :
https://doi.org/10.1002/ajmg.a.40487