» Articles » PMID: 24665034

Multiple Congenital Anomalies-intellectual Disability (MCA-ID) and Neuroblastoma in a Patient Harboring a De Novo 14q23.1q23.3 Deletion

Overview
Specialty Genetics
Date 2014 Mar 26
PMID 24665034
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Neuroblastoma is the most frequent extra cranial solid tumor in infants and children. Genetic predisposition to neuroblastoma has been suspected previously due to familial cases of sporadic NB and predisposition to NB in several syndromes. Here, we report on a de novo 14q23.1-q23.3 microdeletion in a male presenting with a neuroblastoma diagnosed at 9 months, and spherocytosis, congenital heart defect, cryptorchidism, hypoplasia of corpus callosum, epilepsy, and developmental delay. Myc-associated-factor X (MAX) haploinsufficiency could be regarded as the predisposing factor to NB. Indeed 14q deletion is a recurrent somatic rearrangement in NB and MAX somatic and germline loss of function mutation have recently been described in pheochromocytoma and paraganglioma. However, MAX was expressed in the tumor of the patient we report on and, accordingly, loss of heterozygosity, mutation, or promoter methylation were excluded. In addition, we discuss the potential involvement in the clinical spectrum presented by the patient of five of the deleted genes, namely DAAM1, PLEKHG3, SPTB, AKAP5, and ARID4A.

Citing Articles

Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements.

Schmid T, Elie J, Redlich R, Shvareva V, Rakuljic A, Ji M Science. 2024; 383(6690):eabn3263.

PMID: 38422184 PMC: 11313673. DOI: 10.1126/science.abn3263.


Formins in Human Disease.

Labat-de-Hoz L, Alonso M Cells. 2021; 10(10).

PMID: 34685534 PMC: 8533766. DOI: 10.3390/cells10102554.


Evaluating, Filtering and Clustering Genetic Disease Cohorts Based on Human Phenotype Ontology Data with Cohort Analyzer.

Rojano E, Cordoba-Caballero J, Jabato F, Gallego D, Serrano M, Perez B J Pers Med. 2021; 11(8).

PMID: 34442375 PMC: 8398478. DOI: 10.3390/jpm11080730.


Detecting copy-number variations in whole-exome sequencing data using the eXome Hidden Markov Model: an 'exome-first' approach.

Miyatake S, Koshimizu E, Fujita A, Fukai R, Imagawa E, Ohba C J Hum Genet. 2015; 60(4):175-82.

PMID: 25608832 DOI: 10.1038/jhg.2014.124.