The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.

<h4>Background</h4>Yes-associated protein 1 (YAP1) is a key effector molecule regulated by the Hippo pathway and described as a poor prognostic factor in breast cancer. Tumor protein 53 (TP53) mutation is well known as a biomarker related to poor survival outcomes. So far clinical charac...

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Autores principales: Yoon Jin Cha, Dooreh Kim, Soong June Bae, Sung Gwe Ahn, Joon Jeong, Min Kyung Cho, Pill Sun Paik, Tae-Kyung Yoo, Woo-Chan Park, Chang Ik Yoon
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Publicado: Public Library of Science (PLoS) 2021
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spelling oai:doaj.org-article:17de6630c8b04eb7ad5fe3cea09093802021-12-02T20:11:25ZThe association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.1932-620310.1371/journal.pone.0250986https://doaj.org/article/17de6630c8b04eb7ad5fe3cea09093802021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0250986https://doaj.org/toc/1932-6203<h4>Background</h4>Yes-associated protein 1 (YAP1) is a key effector molecule regulated by the Hippo pathway and described as a poor prognostic factor in breast cancer. Tumor protein 53 (TP53) mutation is well known as a biomarker related to poor survival outcomes. So far clinical characteristics and survival outcome according to YAP1 and TP53 mutation have been poorly identified in breast cancer.<h4>Patients and methods</h4>Retrospectively, 533 breast tumor tissues were collected at the Seoul St Mary's hospital and Gangnam Severance Hospital from 1992 to 2017. Immunohistochemistry with YAP1 and p53 specific antibodies were performed, and the clinical data were analyzed.<h4>Results</h4>Mutant p53 pattern was associated with aggressive tumor features and advanced anatomical stage. Inferior overall survival (OS) and recurrence free survival (RFS) were related with mutant p53 pattern cases with low nuclear YAP1 expression (P = 0.0009 and P = 0.0011, respectively). Multivariate analysis showed that mutant p53 pattern was an independent prognostic marker for OS [hazard ratios (HR): 2.938, 95% confidence intervals (CIs): 1.028-8.395, P = 0.044] and RFS (HR: 1.842, 95% CIs: 1.026-3.304). However, in cases with high nuclear YAP1 expression, there were no significantly difference in OS and RFS according to p53 staining pattern.<h4>Conclusion</h4>We found that mutant p53 pattern is a poor prognostic biomarker in breast tumor with low nuclear YAP1 expression. Our findings suggest that interaction between nuclear YAP1 and p53 expression pattern impact survival outcomes.Yoon Jin ChaDooreh KimSoong June BaeSung Gwe AhnJoon JeongMin Kyung ChoPill Sun PaikTae-Kyung YooWoo-Chan ParkChang Ik YoonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0250986 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yoon Jin Cha
Dooreh Kim
Soong June Bae
Sung Gwe Ahn
Joon Jeong
Min Kyung Cho
Pill Sun Paik
Tae-Kyung Yoo
Woo-Chan Park
Chang Ik Yoon
The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.
description <h4>Background</h4>Yes-associated protein 1 (YAP1) is a key effector molecule regulated by the Hippo pathway and described as a poor prognostic factor in breast cancer. Tumor protein 53 (TP53) mutation is well known as a biomarker related to poor survival outcomes. So far clinical characteristics and survival outcome according to YAP1 and TP53 mutation have been poorly identified in breast cancer.<h4>Patients and methods</h4>Retrospectively, 533 breast tumor tissues were collected at the Seoul St Mary's hospital and Gangnam Severance Hospital from 1992 to 2017. Immunohistochemistry with YAP1 and p53 specific antibodies were performed, and the clinical data were analyzed.<h4>Results</h4>Mutant p53 pattern was associated with aggressive tumor features and advanced anatomical stage. Inferior overall survival (OS) and recurrence free survival (RFS) were related with mutant p53 pattern cases with low nuclear YAP1 expression (P = 0.0009 and P = 0.0011, respectively). Multivariate analysis showed that mutant p53 pattern was an independent prognostic marker for OS [hazard ratios (HR): 2.938, 95% confidence intervals (CIs): 1.028-8.395, P = 0.044] and RFS (HR: 1.842, 95% CIs: 1.026-3.304). However, in cases with high nuclear YAP1 expression, there were no significantly difference in OS and RFS according to p53 staining pattern.<h4>Conclusion</h4>We found that mutant p53 pattern is a poor prognostic biomarker in breast tumor with low nuclear YAP1 expression. Our findings suggest that interaction between nuclear YAP1 and p53 expression pattern impact survival outcomes.
format article
author Yoon Jin Cha
Dooreh Kim
Soong June Bae
Sung Gwe Ahn
Joon Jeong
Min Kyung Cho
Pill Sun Paik
Tae-Kyung Yoo
Woo-Chan Park
Chang Ik Yoon
author_facet Yoon Jin Cha
Dooreh Kim
Soong June Bae
Sung Gwe Ahn
Joon Jeong
Min Kyung Cho
Pill Sun Paik
Tae-Kyung Yoo
Woo-Chan Park
Chang Ik Yoon
author_sort Yoon Jin Cha
title The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.
title_short The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.
title_full The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.
title_fullStr The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.
title_full_unstemmed The association between the expression of nuclear Yes-associated protein 1 (YAP1) and p53 protein expression profile in breast cancer patients.
title_sort association between the expression of nuclear yes-associated protein 1 (yap1) and p53 protein expression profile in breast cancer patients.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/17de6630c8b04eb7ad5fe3cea0909380
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