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ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer

Prostate cancer is the most frequently diagnosed cancer and the fifth leading cause of cancer death among men in 2020. The clinical decision making for prostate cancer patients is based on the stratification of the patients according to both clinical and pathological parameters such as Gleason score...

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Autores principales: Montanaro, Manuela, Agostini, Massimiliano, Anemona, Lucia, Bonanno, Elena, Servadei, Francesca, Finazzi Agrò, Enrico, Asimakopoulos, Anastasios D., Ganini, Carlo, Cipriani, Chiara, Signoretti, Marta, Bove, Pierluigi, Rugolo, Francesco, Imperiali, Benedetta, Melino, Gerry, Mauriello, Alessandro, Scimeca, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095592/
https://www.ncbi.nlm.nih.gov/pubmed/37047491
http://dx.doi.org/10.3390/ijms24076519
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author Montanaro, Manuela
Agostini, Massimiliano
Anemona, Lucia
Bonanno, Elena
Servadei, Francesca
Finazzi Agrò, Enrico
Asimakopoulos, Anastasios D.
Ganini, Carlo
Cipriani, Chiara
Signoretti, Marta
Bove, Pierluigi
Rugolo, Francesco
Imperiali, Benedetta
Melino, Gerry
Mauriello, Alessandro
Scimeca, Manuel
author_facet Montanaro, Manuela
Agostini, Massimiliano
Anemona, Lucia
Bonanno, Elena
Servadei, Francesca
Finazzi Agrò, Enrico
Asimakopoulos, Anastasios D.
Ganini, Carlo
Cipriani, Chiara
Signoretti, Marta
Bove, Pierluigi
Rugolo, Francesco
Imperiali, Benedetta
Melino, Gerry
Mauriello, Alessandro
Scimeca, Manuel
author_sort Montanaro, Manuela
collection PubMed
description Prostate cancer is the most frequently diagnosed cancer and the fifth leading cause of cancer death among men in 2020. The clinical decision making for prostate cancer patients is based on the stratification of the patients according to both clinical and pathological parameters such as Gleason score and prostate-specific antigen levels. However, these tools still do not adequately predict patient outcome. The aim of this study was to investigate whether ZNF750 could have a role in better stratifying patients, identifying those with a higher risk of metastasis and with the poorest prognosis. The data reported here revealed that ZNF750 protein levels are reduced in human prostate cancer samples, and this reduction is even higher in metastatic samples. Interestingly, nuclear positivity is significantly reduced in patients with metastatic prostate cancer, regardless of both Gleason score and grade group. More importantly, the bioinformatics analysis indicates that ZNF750 expression is positively correlated with better prognosis. Overall, our findings suggest that nuclear expression of ZNF750 may be a reliable prognostic biomarker for metastatic prostate cancer, which lays the foundation for the development of new biological therapies.
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spelling pubmed-100955922023-04-13 ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer Montanaro, Manuela Agostini, Massimiliano Anemona, Lucia Bonanno, Elena Servadei, Francesca Finazzi Agrò, Enrico Asimakopoulos, Anastasios D. Ganini, Carlo Cipriani, Chiara Signoretti, Marta Bove, Pierluigi Rugolo, Francesco Imperiali, Benedetta Melino, Gerry Mauriello, Alessandro Scimeca, Manuel Int J Mol Sci Article Prostate cancer is the most frequently diagnosed cancer and the fifth leading cause of cancer death among men in 2020. The clinical decision making for prostate cancer patients is based on the stratification of the patients according to both clinical and pathological parameters such as Gleason score and prostate-specific antigen levels. However, these tools still do not adequately predict patient outcome. The aim of this study was to investigate whether ZNF750 could have a role in better stratifying patients, identifying those with a higher risk of metastasis and with the poorest prognosis. The data reported here revealed that ZNF750 protein levels are reduced in human prostate cancer samples, and this reduction is even higher in metastatic samples. Interestingly, nuclear positivity is significantly reduced in patients with metastatic prostate cancer, regardless of both Gleason score and grade group. More importantly, the bioinformatics analysis indicates that ZNF750 expression is positively correlated with better prognosis. Overall, our findings suggest that nuclear expression of ZNF750 may be a reliable prognostic biomarker for metastatic prostate cancer, which lays the foundation for the development of new biological therapies. MDPI 2023-03-30 /pmc/articles/PMC10095592/ /pubmed/37047491 http://dx.doi.org/10.3390/ijms24076519 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Montanaro, Manuela
Agostini, Massimiliano
Anemona, Lucia
Bonanno, Elena
Servadei, Francesca
Finazzi Agrò, Enrico
Asimakopoulos, Anastasios D.
Ganini, Carlo
Cipriani, Chiara
Signoretti, Marta
Bove, Pierluigi
Rugolo, Francesco
Imperiali, Benedetta
Melino, Gerry
Mauriello, Alessandro
Scimeca, Manuel
ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer
title ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer
title_full ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer
title_fullStr ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer
title_full_unstemmed ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer
title_short ZNF750: A Novel Prognostic Biomarker in Metastatic Prostate Cancer
title_sort znf750: a novel prognostic biomarker in metastatic prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095592/
https://www.ncbi.nlm.nih.gov/pubmed/37047491
http://dx.doi.org/10.3390/ijms24076519
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