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The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients

Background: Radiation exposure is an established risk factor for bladder cancer, however consensus is lacking on the survival characteristics of bladder cancer patients with a history of radiation therapy (RT). Confounding patient comorbidities and baseline characteristics hinders prior attempts at...

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Autores principales: Krughoff, Kevin, Lhungay, Tamara P., Barqawi, Zuhair, O’Donnell, Colin, Kamat, Ashish, Wilson, Shandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927829/
https://www.ncbi.nlm.nih.gov/pubmed/27376117
http://dx.doi.org/10.3233/BLC-150030
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author Krughoff, Kevin
Lhungay, Tamara P.
Barqawi, Zuhair
O’Donnell, Colin
Kamat, Ashish
Wilson, Shandra
author_facet Krughoff, Kevin
Lhungay, Tamara P.
Barqawi, Zuhair
O’Donnell, Colin
Kamat, Ashish
Wilson, Shandra
author_sort Krughoff, Kevin
collection PubMed
description Background: Radiation exposure is an established risk factor for bladder cancer, however consensus is lacking on the survival characteristics of bladder cancer patients with a history of radiation therapy (RT). Confounding patient comorbidities and baseline characteristics hinders prior attempts at developing such a consensus. Objective: To compare the survival characteristics of patients with suspected radiation-induced second primary cancer (RISPC) of the bladder to those with de novo bladder cancer, taking into account the patient comorbidities and baseline characteristics predictive of survival. Methods: Retrospective analysis of patients with muscle-invasive (≥T2a) or BCG-refractory stage Tis-T1 urothelial bladder cancer. Patients were excluded if prior RT exposure was used as treatment for bladder cancer or if cause of death was due to post-operative complications. A digit matching propensity score algorithm was used to match patients with prior radiation treatment to those without prior treatment. Cox regression analysis for time until death was performed following creation of the propensity score matched sample. Results: 29 patients with history of RT were matched with two controls each, resulting in a dataset of 87 observations in the event model. Results from the Cox model indicate a significantly increased hazard ratio for death at 2.22 (p = 0.047, 95% CI: 1.015–4.860) given a history of prior radiation therapy. Conclusions: In a small cohort, bladder cancer patients who underwent cystectomy had a significantly higher risk of death in the face of prior pelvic RT. This effect was found to be independent of surgical complications, numerous established patient characteristics and comorbidities traditionally predictive of survival.
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spelling pubmed-49278292016-06-30 The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients Krughoff, Kevin Lhungay, Tamara P. Barqawi, Zuhair O’Donnell, Colin Kamat, Ashish Wilson, Shandra Bl Cancer Research Report Background: Radiation exposure is an established risk factor for bladder cancer, however consensus is lacking on the survival characteristics of bladder cancer patients with a history of radiation therapy (RT). Confounding patient comorbidities and baseline characteristics hinders prior attempts at developing such a consensus. Objective: To compare the survival characteristics of patients with suspected radiation-induced second primary cancer (RISPC) of the bladder to those with de novo bladder cancer, taking into account the patient comorbidities and baseline characteristics predictive of survival. Methods: Retrospective analysis of patients with muscle-invasive (≥T2a) or BCG-refractory stage Tis-T1 urothelial bladder cancer. Patients were excluded if prior RT exposure was used as treatment for bladder cancer or if cause of death was due to post-operative complications. A digit matching propensity score algorithm was used to match patients with prior radiation treatment to those without prior treatment. Cox regression analysis for time until death was performed following creation of the propensity score matched sample. Results: 29 patients with history of RT were matched with two controls each, resulting in a dataset of 87 observations in the event model. Results from the Cox model indicate a significantly increased hazard ratio for death at 2.22 (p = 0.047, 95% CI: 1.015–4.860) given a history of prior radiation therapy. Conclusions: In a small cohort, bladder cancer patients who underwent cystectomy had a significantly higher risk of death in the face of prior pelvic RT. This effect was found to be independent of surgical complications, numerous established patient characteristics and comorbidities traditionally predictive of survival. IOS Press 2015-10-26 /pmc/articles/PMC4927829/ /pubmed/27376117 http://dx.doi.org/10.3233/BLC-150030 Text en IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Report
Krughoff, Kevin
Lhungay, Tamara P.
Barqawi, Zuhair
O’Donnell, Colin
Kamat, Ashish
Wilson, Shandra
The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients
title The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients
title_full The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients
title_fullStr The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients
title_full_unstemmed The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients
title_short The Prognostic Value of Previous Irradiation on Survival of Bladder Cancer Patients
title_sort prognostic value of previous irradiation on survival of bladder cancer patients
topic Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927829/
https://www.ncbi.nlm.nih.gov/pubmed/27376117
http://dx.doi.org/10.3233/BLC-150030
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