Molecular diagnosis of somatic overgrowth conditions: A single-center experience.


Journal

Molecular genetics & genomic medicine
ISSN: 2324-9269
Titre abrégé: Mol Genet Genomic Med
Pays: United States
ID NLM: 101603758

Informations de publication

Date de publication:
03 2019
Historique:
received: 25 07 2018
revised: 02 11 2018
accepted: 02 12 2018
pubmed: 15 2 2019
medline: 9 5 2019
entrez: 15 2 2019
Statut: ppublish

Résumé

Somatic overgrowth conditions, including Proteus syndrome, Sturge-Weber syndrome, and PIK3CA-related overgrowth spectrum, are caused by post-zygotic pathogenic variants, result in segmental mosaicism, and give rise to neural, cutaneous and/or lipomatous overgrowth. These variants occur in growth-promoting pathways leading to cellular proliferation and expansion of tissues that arise from the affected cellular lineage. We report on 80 serial patients evaluated for somatic overgrowth conditions in a diagnostic laboratory setting, including three prenatal patients. In total, 166 tissues from these 80 patients were subjected to targeted sequencing of an 8-gene panel capturing 10.2 kb of sequence containing known pathogenic variants associated with somatic overgrowth conditions. Deep next-generation sequencing was performed with the IonTorrent PGM platform at an average depth typically >5,000×. Likely pathogenic or pathogenic variants were identified in 36 individuals and variants of unknown significance in four. The overall molecular diagnostic yield was 45% but was highly influenced by both submitted tissue type and phenotype. In the prenatal setting, two patients had pathogenic variants identified in cultured amniocytes but in a third patient, the pathogenic variant was only present in post-natal tissues. Finally, expanding the test to include full gene sequencing of PIK3CA in contrast to targeted sequencing identified likely pathogenic variants in 3 of 7 patients that tested negative on the original panel. Next-generation sequencing has enabled sensitive detection of somatic pathogenic variants associated with overgrowth conditions. However, as the pathogenic variant allele frequency varies by tissue type within an individual, submission of affected tissue(s) greatly increases the chances of a molecular diagnosis.

Sections du résumé

BACKGROUND
Somatic overgrowth conditions, including Proteus syndrome, Sturge-Weber syndrome, and PIK3CA-related overgrowth spectrum, are caused by post-zygotic pathogenic variants, result in segmental mosaicism, and give rise to neural, cutaneous and/or lipomatous overgrowth. These variants occur in growth-promoting pathways leading to cellular proliferation and expansion of tissues that arise from the affected cellular lineage.
METHODS
We report on 80 serial patients evaluated for somatic overgrowth conditions in a diagnostic laboratory setting, including three prenatal patients. In total, 166 tissues from these 80 patients were subjected to targeted sequencing of an 8-gene panel capturing 10.2 kb of sequence containing known pathogenic variants associated with somatic overgrowth conditions. Deep next-generation sequencing was performed with the IonTorrent PGM platform at an average depth typically >5,000×.
RESULTS
Likely pathogenic or pathogenic variants were identified in 36 individuals and variants of unknown significance in four. The overall molecular diagnostic yield was 45% but was highly influenced by both submitted tissue type and phenotype. In the prenatal setting, two patients had pathogenic variants identified in cultured amniocytes but in a third patient, the pathogenic variant was only present in post-natal tissues. Finally, expanding the test to include full gene sequencing of PIK3CA in contrast to targeted sequencing identified likely pathogenic variants in 3 of 7 patients that tested negative on the original panel.
CONCLUSION
Next-generation sequencing has enabled sensitive detection of somatic pathogenic variants associated with overgrowth conditions. However, as the pathogenic variant allele frequency varies by tissue type within an individual, submission of affected tissue(s) greatly increases the chances of a molecular diagnosis.

Identifiants

pubmed: 30761771
doi: 10.1002/mgg3.536
pmc: PMC6418364
doi:

Substances chimiques

Class I Phosphatidylinositol 3-Kinases EC 2.7.1.137
PIK3CA protein, human EC 2.7.1.137

Banques de données

GENBANK
['NM_006218.2', 'NM_004958.3', 'NM_005027.2', 'NM_005163.2', 'NM_001626.3', 'NM_005465.4', 'NM_002072.4', 'NM_000076.2']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e536

Informations de copyright

© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

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Auteurs

Emilie Lalonde (E)

Genetic Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.

Jessica Ebrahimzadeh (J)

Genetic Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.

Keith Rafferty (K)

Genetic Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.

Jennifer Richards-Yutz (J)

Genetic Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.

Richard Grant (R)

Genetic Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.

Erik Toorens (E)

Penn Genomic Analysis Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Jennifer Marie Rosado (J)

Penn Genomic Analysis Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Erica Schindewolf (E)

Center for Fetal Diagnosis and Treatment, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Tapan Ganguly (T)

Penn Genomic Analysis Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Jennifer M Kalish (JM)

Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Matthew A Deardorff (MA)

Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Arupa Ganguly (A)

Genetic Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.

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Classifications MeSH