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Distinguishing between PTEN clinical phenotypes through mutation analysis
Phosphate and tensin homolog on chromosome ten (PTEN) germline mutations are associated with an overarching condition known as PTEN hamartoma tumor syndrome. Clinical phenotypes associated with this syndrome range from macrocephaly and autism spectrum disorder to Cowden syndrome, which manifests as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180946/ https://www.ncbi.nlm.nih.gov/pubmed/34141133 http://dx.doi.org/10.1016/j.csbj.2021.05.028 |
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author | Portelli, Stephanie Barr, Lucy de Sá, Alex G.C. Pires, Douglas E.V. Ascher, David B. |
author_facet | Portelli, Stephanie Barr, Lucy de Sá, Alex G.C. Pires, Douglas E.V. Ascher, David B. |
author_sort | Portelli, Stephanie |
collection | PubMed |
description | Phosphate and tensin homolog on chromosome ten (PTEN) germline mutations are associated with an overarching condition known as PTEN hamartoma tumor syndrome. Clinical phenotypes associated with this syndrome range from macrocephaly and autism spectrum disorder to Cowden syndrome, which manifests as multiple noncancerous tumor-like growths (hamartomas), and an increased predisposition to certain cancers. It is unclear, however, the basis by which mutations might lead to these very diverse phenotypic outcomes. Here we show that, by considering the molecular consequences of mutations in PTEN on protein structure and function, we can accurately distinguish PTEN mutations exhibiting different phenotypes. Changes in phosphatase activity, protein stability, and intramolecular interactions appeared to be major drivers of clinical phenotype, with cancer-associated variants leading to the most drastic changes, while ASD and non-pathogenic variants associated with more mild and neutral changes, respectively. Importantly, we show via saturation mutagenesis that more than half of variants of unknown significance could be associated with disease phenotypes, while over half of Cowden syndrome mutations likely lead to cancer. These insights can assist in exploring potentially important clinical outcomes delineated by PTEN variation. |
format | Online Article Text |
id | pubmed-8180946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81809462021-06-16 Distinguishing between PTEN clinical phenotypes through mutation analysis Portelli, Stephanie Barr, Lucy de Sá, Alex G.C. Pires, Douglas E.V. Ascher, David B. Comput Struct Biotechnol J Research Article Phosphate and tensin homolog on chromosome ten (PTEN) germline mutations are associated with an overarching condition known as PTEN hamartoma tumor syndrome. Clinical phenotypes associated with this syndrome range from macrocephaly and autism spectrum disorder to Cowden syndrome, which manifests as multiple noncancerous tumor-like growths (hamartomas), and an increased predisposition to certain cancers. It is unclear, however, the basis by which mutations might lead to these very diverse phenotypic outcomes. Here we show that, by considering the molecular consequences of mutations in PTEN on protein structure and function, we can accurately distinguish PTEN mutations exhibiting different phenotypes. Changes in phosphatase activity, protein stability, and intramolecular interactions appeared to be major drivers of clinical phenotype, with cancer-associated variants leading to the most drastic changes, while ASD and non-pathogenic variants associated with more mild and neutral changes, respectively. Importantly, we show via saturation mutagenesis that more than half of variants of unknown significance could be associated with disease phenotypes, while over half of Cowden syndrome mutations likely lead to cancer. These insights can assist in exploring potentially important clinical outcomes delineated by PTEN variation. Research Network of Computational and Structural Biotechnology 2021-05-21 /pmc/articles/PMC8180946/ /pubmed/34141133 http://dx.doi.org/10.1016/j.csbj.2021.05.028 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Portelli, Stephanie Barr, Lucy de Sá, Alex G.C. Pires, Douglas E.V. Ascher, David B. Distinguishing between PTEN clinical phenotypes through mutation analysis |
title | Distinguishing between PTEN clinical phenotypes through mutation analysis |
title_full | Distinguishing between PTEN clinical phenotypes through mutation analysis |
title_fullStr | Distinguishing between PTEN clinical phenotypes through mutation analysis |
title_full_unstemmed | Distinguishing between PTEN clinical phenotypes through mutation analysis |
title_short | Distinguishing between PTEN clinical phenotypes through mutation analysis |
title_sort | distinguishing between pten clinical phenotypes through mutation analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180946/ https://www.ncbi.nlm.nih.gov/pubmed/34141133 http://dx.doi.org/10.1016/j.csbj.2021.05.028 |
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