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Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis
BACKGROUND AND PURPOSE: Non-muscle-invasive bladder cancer (NMIBC) constitutes a heterogeneous group of tumors with different prognoses. This population-based study aimed to report real-world cancer-specific survival (CSS) of NMIBC and create a prognostic nomogram based on the identified risk factor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562346/ https://www.ncbi.nlm.nih.gov/pubmed/37578604 http://dx.doi.org/10.1245/s10434-023-14051-9 |
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author | Ślusarczyk, Aleksander Zapała, Piotr Zapała, Łukasz Borkowski, Tomasz Radziszewski, Piotr |
author_facet | Ślusarczyk, Aleksander Zapała, Piotr Zapała, Łukasz Borkowski, Tomasz Radziszewski, Piotr |
author_sort | Ślusarczyk, Aleksander |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Non-muscle-invasive bladder cancer (NMIBC) constitutes a heterogeneous group of tumors with different prognoses. This population-based study aimed to report real-world cancer-specific survival (CSS) of NMIBC and create a prognostic nomogram based on the identified risk factors. METHODS: The Surveillance, Epidemiology, and End Results database was searched for patients diagnosed with NMIBC from 2004 to 2015, who underwent transurethral resection of the bladder tumor. The dataset was divided into development and validation cohorts. Factors associated with CSS were identified using Cox proportional hazards and used to develop a prognostic nomogram. RESULTS: In total, 98,238 patients with NMIBC were included. At the median follow-up of 124 months (IQR 81–157 months), cancer-specific mortality (CSM) was highest for T1HG (19.52%), followed by Tis (15.56%), similar for T1LG and TaHG (10.88% and 9.23%, respectively), and lowest for TaLG (3.76%). Multivariable Cox regression for CSS prediction was utilized to develop a nomogram including the following risk factors: tumor T category and grade, age, tumor size and location, histology type, primary character, race, income, and marital status. In the validation cohort, the model was characterized by an AUC of 0.824 and C-index that reached 0.795. CONCLUSIONS: To conclude, NMIBC is associated with a significant risk of long-term CSM especially, but not only, in patients with T1HG. Rarely diagnosed TaHG and T1LG tumors should be regarded as high-risk due to approximately 10% CSM. T category, grading, and age remain the most powerful determinants of CSS in NMIBC, but sociodemographic factors might also influence its prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-023-14051-9. |
format | Online Article Text |
id | pubmed-10562346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-105623462023-10-11 Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis Ślusarczyk, Aleksander Zapała, Piotr Zapała, Łukasz Borkowski, Tomasz Radziszewski, Piotr Ann Surg Oncol Urologic Oncology BACKGROUND AND PURPOSE: Non-muscle-invasive bladder cancer (NMIBC) constitutes a heterogeneous group of tumors with different prognoses. This population-based study aimed to report real-world cancer-specific survival (CSS) of NMIBC and create a prognostic nomogram based on the identified risk factors. METHODS: The Surveillance, Epidemiology, and End Results database was searched for patients diagnosed with NMIBC from 2004 to 2015, who underwent transurethral resection of the bladder tumor. The dataset was divided into development and validation cohorts. Factors associated with CSS were identified using Cox proportional hazards and used to develop a prognostic nomogram. RESULTS: In total, 98,238 patients with NMIBC were included. At the median follow-up of 124 months (IQR 81–157 months), cancer-specific mortality (CSM) was highest for T1HG (19.52%), followed by Tis (15.56%), similar for T1LG and TaHG (10.88% and 9.23%, respectively), and lowest for TaLG (3.76%). Multivariable Cox regression for CSS prediction was utilized to develop a nomogram including the following risk factors: tumor T category and grade, age, tumor size and location, histology type, primary character, race, income, and marital status. In the validation cohort, the model was characterized by an AUC of 0.824 and C-index that reached 0.795. CONCLUSIONS: To conclude, NMIBC is associated with a significant risk of long-term CSM especially, but not only, in patients with T1HG. Rarely diagnosed TaHG and T1LG tumors should be regarded as high-risk due to approximately 10% CSM. T category, grading, and age remain the most powerful determinants of CSS in NMIBC, but sociodemographic factors might also influence its prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-023-14051-9. Springer International Publishing 2023-08-14 2023 /pmc/articles/PMC10562346/ /pubmed/37578604 http://dx.doi.org/10.1245/s10434-023-14051-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Urologic Oncology Ślusarczyk, Aleksander Zapała, Piotr Zapała, Łukasz Borkowski, Tomasz Radziszewski, Piotr Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis |
title | Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis |
title_full | Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis |
title_fullStr | Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis |
title_full_unstemmed | Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis |
title_short | Cancer-Specific Survival of Patients with Non-Muscle-Invasive Bladder Cancer: A Population-Based Analysis |
title_sort | cancer-specific survival of patients with non-muscle-invasive bladder cancer: a population-based analysis |
topic | Urologic Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562346/ https://www.ncbi.nlm.nih.gov/pubmed/37578604 http://dx.doi.org/10.1245/s10434-023-14051-9 |
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