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Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants

Mutations in the TP53 tumor suppressor gene occur in >80% of the triple-negative or basal-like breast cancer. To test whether neomorphic functions of specific TP53 missense mutations contribute to phenotypic heterogeneity, we characterized phenotypes of non-transformed MCF10A-derived cell lines e...

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Autores principales: Pal, Anasuya, Gonzalez-Malerva, Laura, Eaton, Seron, Xu, Chenxi, Zhang, Yining, Grief, Dustin, Sakala, Lydia, Nwekwo, Lilian, Zeng, Jia, Christensen, Grant, Gupta, Chitrak, Streitwieser, Ellen, Singharoy, Abhishek, Park, Jin G., LaBaer, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541912/
https://www.ncbi.nlm.nih.gov/pubmed/37773066
http://dx.doi.org/10.1038/s41523-023-00582-7
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author Pal, Anasuya
Gonzalez-Malerva, Laura
Eaton, Seron
Xu, Chenxi
Zhang, Yining
Grief, Dustin
Sakala, Lydia
Nwekwo, Lilian
Zeng, Jia
Christensen, Grant
Gupta, Chitrak
Streitwieser, Ellen
Singharoy, Abhishek
Park, Jin G.
LaBaer, Joshua
author_facet Pal, Anasuya
Gonzalez-Malerva, Laura
Eaton, Seron
Xu, Chenxi
Zhang, Yining
Grief, Dustin
Sakala, Lydia
Nwekwo, Lilian
Zeng, Jia
Christensen, Grant
Gupta, Chitrak
Streitwieser, Ellen
Singharoy, Abhishek
Park, Jin G.
LaBaer, Joshua
author_sort Pal, Anasuya
collection PubMed
description Mutations in the TP53 tumor suppressor gene occur in >80% of the triple-negative or basal-like breast cancer. To test whether neomorphic functions of specific TP53 missense mutations contribute to phenotypic heterogeneity, we characterized phenotypes of non-transformed MCF10A-derived cell lines expressing the ten most common missense mutant p53 proteins and observed a wide spectrum of phenotypic changes in cell survival, resistance to apoptosis and anoikis, cell migration, invasion and 3D mammosphere architecture. The p53 mutants R248W, R273C, R248Q, and Y220C are the most aggressive while G245S and Y234C are the least, which correlates with survival rates of basal-like breast cancer patients. Interestingly, a crucial amino acid difference at one position—R273C vs. R273H—has drastic changes on cellular phenotype. RNA-Seq and ChIP-Seq analyses show distinct DNA binding properties of different p53 mutants, yielding heterogeneous transcriptomics profiles, and MD simulation provided structural basis of differential DNA binding of different p53 mutants. Integrative statistical and machine-learning-based pathway analysis on gene expression profiles with phenotype vectors across the mutant cell lines identifies quantitative association of multiple pathways including the Hippo/YAP/TAZ pathway with phenotypic aggressiveness. Further, comparative analyses of large transcriptomics datasets on breast cancer cell lines and tumors suggest that dysregulation of the Hippo/YAP/TAZ pathway plays a key role in driving the cellular phenotypes towards basal-like in the presence of more aggressive p53 mutants. Overall, our study describes distinct gain-of-function impacts on protein functions, transcriptional profiles, and cellular behaviors of different p53 missense mutants, which contribute to clinical phenotypic heterogeneity of triple-negative breast tumors.
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spelling pubmed-105419122023-10-02 Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants Pal, Anasuya Gonzalez-Malerva, Laura Eaton, Seron Xu, Chenxi Zhang, Yining Grief, Dustin Sakala, Lydia Nwekwo, Lilian Zeng, Jia Christensen, Grant Gupta, Chitrak Streitwieser, Ellen Singharoy, Abhishek Park, Jin G. LaBaer, Joshua NPJ Breast Cancer Article Mutations in the TP53 tumor suppressor gene occur in >80% of the triple-negative or basal-like breast cancer. To test whether neomorphic functions of specific TP53 missense mutations contribute to phenotypic heterogeneity, we characterized phenotypes of non-transformed MCF10A-derived cell lines expressing the ten most common missense mutant p53 proteins and observed a wide spectrum of phenotypic changes in cell survival, resistance to apoptosis and anoikis, cell migration, invasion and 3D mammosphere architecture. The p53 mutants R248W, R273C, R248Q, and Y220C are the most aggressive while G245S and Y234C are the least, which correlates with survival rates of basal-like breast cancer patients. Interestingly, a crucial amino acid difference at one position—R273C vs. R273H—has drastic changes on cellular phenotype. RNA-Seq and ChIP-Seq analyses show distinct DNA binding properties of different p53 mutants, yielding heterogeneous transcriptomics profiles, and MD simulation provided structural basis of differential DNA binding of different p53 mutants. Integrative statistical and machine-learning-based pathway analysis on gene expression profiles with phenotype vectors across the mutant cell lines identifies quantitative association of multiple pathways including the Hippo/YAP/TAZ pathway with phenotypic aggressiveness. Further, comparative analyses of large transcriptomics datasets on breast cancer cell lines and tumors suggest that dysregulation of the Hippo/YAP/TAZ pathway plays a key role in driving the cellular phenotypes towards basal-like in the presence of more aggressive p53 mutants. Overall, our study describes distinct gain-of-function impacts on protein functions, transcriptional profiles, and cellular behaviors of different p53 missense mutants, which contribute to clinical phenotypic heterogeneity of triple-negative breast tumors. Nature Publishing Group UK 2023-09-29 /pmc/articles/PMC10541912/ /pubmed/37773066 http://dx.doi.org/10.1038/s41523-023-00582-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pal, Anasuya
Gonzalez-Malerva, Laura
Eaton, Seron
Xu, Chenxi
Zhang, Yining
Grief, Dustin
Sakala, Lydia
Nwekwo, Lilian
Zeng, Jia
Christensen, Grant
Gupta, Chitrak
Streitwieser, Ellen
Singharoy, Abhishek
Park, Jin G.
LaBaer, Joshua
Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
title Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
title_full Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
title_fullStr Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
title_full_unstemmed Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
title_short Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
title_sort multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541912/
https://www.ncbi.nlm.nih.gov/pubmed/37773066
http://dx.doi.org/10.1038/s41523-023-00582-7
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