Literature DB >> 26827793

Inherited PTEN mutations and the prediction of phenotype.

Nicholas R Leslie1, Michel Longy2.   

Abstract

PTEN has been heavily studied due to its role as a tumour suppressor and as a core inhibitory component of the phosphoinositide 3-kinase (PI3K) signalling network. It is a broadly expressed phosphatase which displays complexity and diversity in both its functions and regulation and accordingly, in the laboratory numerous classes of functionally distinct mutations have been generated. Inherited loss of function mutations in the PTEN gene were originally identified in sufferers of Cowden disease, but later shown to associate with more diverse human pathologies, mostly relating to cell and tissue overgrowth, leading to the use of the broader term, PTEN Hamartoma Tumour Syndrome. Recent phenotypic analysis of clinical cohorts of PTEN mutation carriers, combined with laboratory studies of the consequences of these mutations implies that stable catalytically inactive PTEN mutants may lead to the most severe phenotypes, and conversely, that mutants retaining partial function associate more frequently with a milder phenotype, with autism spectrum disorder often being diagnosed. Future work will be needed to confirm and to refine these genotype-phenotype relationships and convert this developing knowledge into improved patient management and potentially treatment with emerging drugs which target the PI3K pathway.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Autism spectrum disorder; Cancer; Mutation; PTEN; Phosphatase; Tumour suppressor

Mesh:

Substances:

Year:  2016        PMID: 26827793     DOI: 10.1016/j.semcdb.2016.01.030

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  29 in total

Review 1.  Long noncoding RNA and its contribution to autism spectrum disorders.

Authors:  Jie Tang; Yizhen Yu; Wei Yang
Journal:  CNS Neurosci Ther       Date:  2017-06-20       Impact factor: 5.243

2.  A Saturation Mutagenesis Approach to Understanding PTEN Lipid Phosphatase Activity and Genotype-Phenotype Relationships.

Authors:  Taylor L Mighell; Sara Evans-Dutson; Brian J O'Roak
Journal:  Am J Hum Genet       Date:  2018-04-26       Impact factor: 11.025

3.  Structural mutation analysis of PTEN and its genotype-phenotype correlations in endometriosis and cancer.

Authors:  Iris N Smith; James M Briggs
Journal:  Proteins       Date:  2016-08-13

4.  Elevated Radiation Therapy Toxicity in the Setting of Germline PTEN Mutation.

Authors:  Ken Tatebe; Steven J Chmura; Philip P Connell
Journal:  Pract Radiat Oncol       Date:  2019-06-08

5.  An Integrated Deep-Mutational-Scanning Approach Provides Clinical Insights on PTEN Genotype-Phenotype Relationships.

Authors:  Taylor L Mighell; Stetson Thacker; Eric Fombonne; Charis Eng; Brian J O'Roak
Journal:  Am J Hum Genet       Date:  2020-05-21       Impact factor: 11.025

6.  Dynamics and structural stability effects of germline PTEN mutations associated with cancer versus autism phenotypes.

Authors:  Iris Nira Smith; Stetson Thacker; Ritika Jaini; Charis Eng
Journal:  J Biomol Struct Dyn       Date:  2018-05-14

Review 7.  PTEN-opathies: from biological insights to evidence-based precision medicine.

Authors:  Lamis Yehia; Joanne Ngeow; Charis Eng
Journal:  J Clin Invest       Date:  2019-01-07       Impact factor: 14.808

Review 8.  Somatic overgrowth disorders of the PI3K/AKT/mTOR pathway & therapeutic strategies.

Authors:  Kim M Keppler-Noreuil; Victoria E R Parker; Thomas N Darling; Julian A Martinez-Agosto
Journal:  Am J Med Genet C Semin Med Genet       Date:  2016-11-18       Impact factor: 3.908

Review 9.  The mTOR signalling cascade: paving new roads to cure neurological disease.

Authors:  Peter B Crino
Journal:  Nat Rev Neurol       Date:  2016-06-24       Impact factor: 42.937

Review 10.  Defective phosphoinositide metabolism in autism.

Authors:  Christina Gross
Journal:  J Neurosci Res       Date:  2016-07-04       Impact factor: 4.164

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