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Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence

Prediction of prostate cancer prognosis is challenging and predictive biomarkers of recurrence remain elusive. Although prostate specific antigen (PSA) has high sensitivity (90%) at a PSA level of 4.0 ng/mL, its low specificity leads to many false positive results and considerable overtreatment of p...

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Autores principales: Bedolla, Roble G., Gong, Jingjing, Prihoda, Thomas J., Yeh, I-Tien, Thompson, Ian M., Ghosh, Rita, Kumar, Addanki P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441693/
https://www.ncbi.nlm.nih.gov/pubmed/23028678
http://dx.doi.org/10.1371/journal.pone.0044917
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author Bedolla, Roble G.
Gong, Jingjing
Prihoda, Thomas J.
Yeh, I-Tien
Thompson, Ian M.
Ghosh, Rita
Kumar, Addanki P.
author_facet Bedolla, Roble G.
Gong, Jingjing
Prihoda, Thomas J.
Yeh, I-Tien
Thompson, Ian M.
Ghosh, Rita
Kumar, Addanki P.
author_sort Bedolla, Roble G.
collection PubMed
description Prediction of prostate cancer prognosis is challenging and predictive biomarkers of recurrence remain elusive. Although prostate specific antigen (PSA) has high sensitivity (90%) at a PSA level of 4.0 ng/mL, its low specificity leads to many false positive results and considerable overtreatment of patients and its performance at lower ranges is poor. Given the histopathological and molecular heterogeneity of prostate cancer, we propose that a panel of markers will be a better tool than a single marker. We tested a panel of markers composed of the anti-apoptotic protein FLIP and its transcriptional regulators Sp1 and Sp3 using prostate tissues from 64 patients with recurrent and non-recurrent cancer who underwent radical prostatectomy as primary treatment for prostate cancer and were followed with PSA measurements for at least 5 years. Immunohistochemical staining for Sp1, Sp3, and FLIP was performed on these tissues and scored based on the proportion and intensity of staining. The predictive value of the FLIP/Sp1/Sp3 signature for clinical outcome (recurrence vs. non-recurrence) was explored with logistic regression, and combinations of FLIP/Sp1/Sp3 and Gleason score were analyzed with a stepwise (backward and forward) logistic model. The discrimination of the markers was identified by sensitivity-specificity analysis and the diagnostic value of FLIP/Sp1/Sp3 was determined using area under the curve (AUC) for receiver operator characteristic curves. The AUCs for FLIP, Sp1, Sp3, and Gleason score for predicting PSA failure and non-failure were 0.71, 0.66, 0.68, and 0.76, respectively. However, this increased to 0.93 when combined. Thus, the “biomarker signature” of FLIP/Sp1/Sp3 combined with Gleason score predicted disease recurrence and stratified patients who are likely to benefit from more aggressive treatment.
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spelling pubmed-34416932012-10-01 Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence Bedolla, Roble G. Gong, Jingjing Prihoda, Thomas J. Yeh, I-Tien Thompson, Ian M. Ghosh, Rita Kumar, Addanki P. PLoS One Research Article Prediction of prostate cancer prognosis is challenging and predictive biomarkers of recurrence remain elusive. Although prostate specific antigen (PSA) has high sensitivity (90%) at a PSA level of 4.0 ng/mL, its low specificity leads to many false positive results and considerable overtreatment of patients and its performance at lower ranges is poor. Given the histopathological and molecular heterogeneity of prostate cancer, we propose that a panel of markers will be a better tool than a single marker. We tested a panel of markers composed of the anti-apoptotic protein FLIP and its transcriptional regulators Sp1 and Sp3 using prostate tissues from 64 patients with recurrent and non-recurrent cancer who underwent radical prostatectomy as primary treatment for prostate cancer and were followed with PSA measurements for at least 5 years. Immunohistochemical staining for Sp1, Sp3, and FLIP was performed on these tissues and scored based on the proportion and intensity of staining. The predictive value of the FLIP/Sp1/Sp3 signature for clinical outcome (recurrence vs. non-recurrence) was explored with logistic regression, and combinations of FLIP/Sp1/Sp3 and Gleason score were analyzed with a stepwise (backward and forward) logistic model. The discrimination of the markers was identified by sensitivity-specificity analysis and the diagnostic value of FLIP/Sp1/Sp3 was determined using area under the curve (AUC) for receiver operator characteristic curves. The AUCs for FLIP, Sp1, Sp3, and Gleason score for predicting PSA failure and non-failure were 0.71, 0.66, 0.68, and 0.76, respectively. However, this increased to 0.93 when combined. Thus, the “biomarker signature” of FLIP/Sp1/Sp3 combined with Gleason score predicted disease recurrence and stratified patients who are likely to benefit from more aggressive treatment. Public Library of Science 2012-09-13 /pmc/articles/PMC3441693/ /pubmed/23028678 http://dx.doi.org/10.1371/journal.pone.0044917 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Bedolla, Roble G.
Gong, Jingjing
Prihoda, Thomas J.
Yeh, I-Tien
Thompson, Ian M.
Ghosh, Rita
Kumar, Addanki P.
Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence
title Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence
title_full Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence
title_fullStr Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence
title_full_unstemmed Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence
title_short Predictive Value of Sp1/Sp3/FLIP Signature for Prostate Cancer Recurrence
title_sort predictive value of sp1/sp3/flip signature for prostate cancer recurrence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441693/
https://www.ncbi.nlm.nih.gov/pubmed/23028678
http://dx.doi.org/10.1371/journal.pone.0044917
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