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SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer

BACKGROUND: The clinical outcome of triple-negative breast cancer (TNBC) is poor. Finding more targets for the treatment of TNBC is an urgent need. SENPs are SUMO-specific proteins that play an important role in SUMO modification. Among several tumor types, SENPs have been identified as relevant bio...

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Autores principales: Zhu, Youzhi, Zhang, Jiasheng, Yu, Liangfei, Xu, Sunwang, Chen, Ling, Wu, Kunlin, Kong, Lingjun, Lin, Wei, Xue, Jiajie, Wang, Qingshui, Lin, Yao, Chen, Xiangjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868814/
https://www.ncbi.nlm.nih.gov/pubmed/36698419
http://dx.doi.org/10.3389/fonc.2022.972969
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author Zhu, Youzhi
Zhang, Jiasheng
Yu, Liangfei
Xu, Sunwang
Chen, Ling
Wu, Kunlin
Kong, Lingjun
Lin, Wei
Xue, Jiajie
Wang, Qingshui
Lin, Yao
Chen, Xiangjin
author_facet Zhu, Youzhi
Zhang, Jiasheng
Yu, Liangfei
Xu, Sunwang
Chen, Ling
Wu, Kunlin
Kong, Lingjun
Lin, Wei
Xue, Jiajie
Wang, Qingshui
Lin, Yao
Chen, Xiangjin
author_sort Zhu, Youzhi
collection PubMed
description BACKGROUND: The clinical outcome of triple-negative breast cancer (TNBC) is poor. Finding more targets for the treatment of TNBC is an urgent need. SENPs are SUMO-specific proteins that play an important role in SUMO modification. Among several tumor types, SENPs have been identified as relevant biomarkers for progression and prognosis. The role of SENPs in TNBC is not yet clear. METHODS: The expression and prognosis of SENPs in TNBC were analyzed by TCGA and GEO data. SENP3 coexpression regulatory networks were determined by weighted gene coexpression network analysis (WGCNA). Least absolute shrinkage and selection operator (LASSO) and Cox univariate analyses were used to develop a risk signature based on genes associated with SENP3. A time-dependent receiver operating characteristic (ROC) analysis was employed to evaluate a risk signature’s predictive accuracy and sensitivity. Moreover, a nomogram was constructed to facilitate clinical application. RESULTS: The prognostic and expression effects of SENP family genes were validated using the TCGA and GEO databases. SENP3 was found to be the only gene in the SENP family that was highly expressed and associated with an unfavorable prognosis in TNBC patients. Cell functional experiments showed that knockdown of SENP3 leads to growth, invasion, and migration inhibition of TNBC cells in vitro. By using WGCNA, 273 SENP3-related genes were identified. Finally, 11 SENP3-related genes were obtained from Cox univariate analysis and LASSO regression. Based on this, a prognostic risk prediction model was established. The risk signature of SENP3-related genes was verified as an independent prognostic marker for TNBC patients. CONCLUSION: Among SENP family genes, we found that SENP3 was overexpressed in TNBC and associated with a worse prognosis. SENP3 knockdown can inhibit tumor proliferation, invasion, and migration. In TNBC patients, a risk signature based on the expression of 11 SENP3-related genes may improve prognosis prediction. The established risk markers may be promising prognostic biomarkers that can guide the individualized treatment of TNBC patients.
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spelling pubmed-98688142023-01-24 SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer Zhu, Youzhi Zhang, Jiasheng Yu, Liangfei Xu, Sunwang Chen, Ling Wu, Kunlin Kong, Lingjun Lin, Wei Xue, Jiajie Wang, Qingshui Lin, Yao Chen, Xiangjin Front Oncol Oncology BACKGROUND: The clinical outcome of triple-negative breast cancer (TNBC) is poor. Finding more targets for the treatment of TNBC is an urgent need. SENPs are SUMO-specific proteins that play an important role in SUMO modification. Among several tumor types, SENPs have been identified as relevant biomarkers for progression and prognosis. The role of SENPs in TNBC is not yet clear. METHODS: The expression and prognosis of SENPs in TNBC were analyzed by TCGA and GEO data. SENP3 coexpression regulatory networks were determined by weighted gene coexpression network analysis (WGCNA). Least absolute shrinkage and selection operator (LASSO) and Cox univariate analyses were used to develop a risk signature based on genes associated with SENP3. A time-dependent receiver operating characteristic (ROC) analysis was employed to evaluate a risk signature’s predictive accuracy and sensitivity. Moreover, a nomogram was constructed to facilitate clinical application. RESULTS: The prognostic and expression effects of SENP family genes were validated using the TCGA and GEO databases. SENP3 was found to be the only gene in the SENP family that was highly expressed and associated with an unfavorable prognosis in TNBC patients. Cell functional experiments showed that knockdown of SENP3 leads to growth, invasion, and migration inhibition of TNBC cells in vitro. By using WGCNA, 273 SENP3-related genes were identified. Finally, 11 SENP3-related genes were obtained from Cox univariate analysis and LASSO regression. Based on this, a prognostic risk prediction model was established. The risk signature of SENP3-related genes was verified as an independent prognostic marker for TNBC patients. CONCLUSION: Among SENP family genes, we found that SENP3 was overexpressed in TNBC and associated with a worse prognosis. SENP3 knockdown can inhibit tumor proliferation, invasion, and migration. In TNBC patients, a risk signature based on the expression of 11 SENP3-related genes may improve prognosis prediction. The established risk markers may be promising prognostic biomarkers that can guide the individualized treatment of TNBC patients. Frontiers Media S.A. 2023-01-09 /pmc/articles/PMC9868814/ /pubmed/36698419 http://dx.doi.org/10.3389/fonc.2022.972969 Text en Copyright © 2023 Zhu, Zhang, Yu, Xu, Chen, Wu, Kong, Lin, Xue, Wang, Lin and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhu, Youzhi
Zhang, Jiasheng
Yu, Liangfei
Xu, Sunwang
Chen, Ling
Wu, Kunlin
Kong, Lingjun
Lin, Wei
Xue, Jiajie
Wang, Qingshui
Lin, Yao
Chen, Xiangjin
SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
title SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
title_full SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
title_fullStr SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
title_full_unstemmed SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
title_short SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
title_sort senp3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868814/
https://www.ncbi.nlm.nih.gov/pubmed/36698419
http://dx.doi.org/10.3389/fonc.2022.972969
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