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Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy
BACKGROUND: Site-specific postoperative risk models for localized upper tract urothelial carcinoma (UTUC) are unavailable. OBJECTIVE: To create specific risk models for renal pelvic urothelial carcinoma (RPUC) and ureteral urothelial carcinoma (UUC), and to compare the predictive accuracy with the o...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257658/ https://www.ncbi.nlm.nih.gov/pubmed/35813249 http://dx.doi.org/10.1016/j.euros.2022.05.004 |
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author | Miyake, Makito Iida, Kota Nishimura, Nobutaka Inoue, Takashi Matsumoto, Hiroaki Matsuyama, Hideyasu Fujiwara, Yuya Komura, Kazumasa Inamoto, Teruo Azuma, Haruhito Yasumoto, Hiroaki Shiina, Hiroaki Yonemori, Masaya Enokida, Hideki Nakagawa, Masayuki Fukuhara, Hideo Inoue, Keiji Yoshida, Takashi Kinoshita, Hidefumi Matsuda, Tadashi Fujii, Tomomi Fujimoto, Kiyohide |
author_facet | Miyake, Makito Iida, Kota Nishimura, Nobutaka Inoue, Takashi Matsumoto, Hiroaki Matsuyama, Hideyasu Fujiwara, Yuya Komura, Kazumasa Inamoto, Teruo Azuma, Haruhito Yasumoto, Hiroaki Shiina, Hiroaki Yonemori, Masaya Enokida, Hideki Nakagawa, Masayuki Fukuhara, Hideo Inoue, Keiji Yoshida, Takashi Kinoshita, Hidefumi Matsuda, Tadashi Fujii, Tomomi Fujimoto, Kiyohide |
author_sort | Miyake, Makito |
collection | PubMed |
description | BACKGROUND: Site-specific postoperative risk models for localized upper tract urothelial carcinoma (UTUC) are unavailable. OBJECTIVE: To create specific risk models for renal pelvic urothelial carcinoma (RPUC) and ureteral urothelial carcinoma (UUC), and to compare the predictive accuracy with the overall UTUC risk model. DESIGN, SETTING, AND PARTICIPANTS: A multi-institutional database retrospective study of 1917 UTUC patients who underwent radical nephroureterectomy (RNU) between 2000 and 2018 was conducted. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: A multivariate hazard model was used to identify the prognostic factors for extraurinary tract recurrence (EUTR), cancer-specific death (CSD), and intravesical recurrence (IVR) after RNU. Patients were stratified into low-, intermediate-, high-, and highest-risk groups. External validation was performed to estimate a concordance index of the created risk models. We investigated whether our risk models could aid decision-making regarding adjuvant chemotherapy (AC) after RNU. RESULTS AND LIMITATIONS: The UTUC risk models could stratify the risk of cumulative incidence of three endpoints. The RPUC- and UUC-specific risk models showed better stratification than the overall UTUC risk model for all the three endpoints, EUTR, CSD, and IVR (RPUC: concordance index, 0.719 vs 0.770, 0.714 vs 0.794, and 0.538 vs 0.569, respectively; UUC: 0.716 vs 0.767, 0.766 vs 0.809, and 0.553 vs 0.594, respectively). The UUC-specific risk model can identify the high- and highest-risk patients likely to benefit from AC after RNU. A major limitation was the potential selection bias owing to the retrospective nature of this study. CONCLUSIONS: We recommend using site-specific risk models instead of the overall UTUC risk model for better risk stratification and decision-making for AC after RNU. PATIENT SUMMARY: Upper tract urothelial carcinoma comprises renal pelvic and ureteral carcinomas. We recommend using site-specific risk models instead of the overall upper tract urothelial carcinoma risk model in risk prediction and decision-making for adjuvant therapy after radical surgery. |
format | Online Article Text |
id | pubmed-9257658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92576582022-07-07 Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy Miyake, Makito Iida, Kota Nishimura, Nobutaka Inoue, Takashi Matsumoto, Hiroaki Matsuyama, Hideyasu Fujiwara, Yuya Komura, Kazumasa Inamoto, Teruo Azuma, Haruhito Yasumoto, Hiroaki Shiina, Hiroaki Yonemori, Masaya Enokida, Hideki Nakagawa, Masayuki Fukuhara, Hideo Inoue, Keiji Yoshida, Takashi Kinoshita, Hidefumi Matsuda, Tadashi Fujii, Tomomi Fujimoto, Kiyohide Eur Urol Open Sci Urothelial Cancer BACKGROUND: Site-specific postoperative risk models for localized upper tract urothelial carcinoma (UTUC) are unavailable. OBJECTIVE: To create specific risk models for renal pelvic urothelial carcinoma (RPUC) and ureteral urothelial carcinoma (UUC), and to compare the predictive accuracy with the overall UTUC risk model. DESIGN, SETTING, AND PARTICIPANTS: A multi-institutional database retrospective study of 1917 UTUC patients who underwent radical nephroureterectomy (RNU) between 2000 and 2018 was conducted. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: A multivariate hazard model was used to identify the prognostic factors for extraurinary tract recurrence (EUTR), cancer-specific death (CSD), and intravesical recurrence (IVR) after RNU. Patients were stratified into low-, intermediate-, high-, and highest-risk groups. External validation was performed to estimate a concordance index of the created risk models. We investigated whether our risk models could aid decision-making regarding adjuvant chemotherapy (AC) after RNU. RESULTS AND LIMITATIONS: The UTUC risk models could stratify the risk of cumulative incidence of three endpoints. The RPUC- and UUC-specific risk models showed better stratification than the overall UTUC risk model for all the three endpoints, EUTR, CSD, and IVR (RPUC: concordance index, 0.719 vs 0.770, 0.714 vs 0.794, and 0.538 vs 0.569, respectively; UUC: 0.716 vs 0.767, 0.766 vs 0.809, and 0.553 vs 0.594, respectively). The UUC-specific risk model can identify the high- and highest-risk patients likely to benefit from AC after RNU. A major limitation was the potential selection bias owing to the retrospective nature of this study. CONCLUSIONS: We recommend using site-specific risk models instead of the overall UTUC risk model for better risk stratification and decision-making for AC after RNU. PATIENT SUMMARY: Upper tract urothelial carcinoma comprises renal pelvic and ureteral carcinomas. We recommend using site-specific risk models instead of the overall upper tract urothelial carcinoma risk model in risk prediction and decision-making for adjuvant therapy after radical surgery. Elsevier 2022-05-30 /pmc/articles/PMC9257658/ /pubmed/35813249 http://dx.doi.org/10.1016/j.euros.2022.05.004 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Urothelial Cancer Miyake, Makito Iida, Kota Nishimura, Nobutaka Inoue, Takashi Matsumoto, Hiroaki Matsuyama, Hideyasu Fujiwara, Yuya Komura, Kazumasa Inamoto, Teruo Azuma, Haruhito Yasumoto, Hiroaki Shiina, Hiroaki Yonemori, Masaya Enokida, Hideki Nakagawa, Masayuki Fukuhara, Hideo Inoue, Keiji Yoshida, Takashi Kinoshita, Hidefumi Matsuda, Tadashi Fujii, Tomomi Fujimoto, Kiyohide Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy |
title | Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy |
title_full | Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy |
title_fullStr | Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy |
title_full_unstemmed | Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy |
title_short | Site-specific Risk Stratification Models for Postoperative Recurrence and Survival Prediction in Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy: Better Stratification for Adjuvant Therapy |
title_sort | site-specific risk stratification models for postoperative recurrence and survival prediction in patients with upper tract urothelial carcinoma undergoing radical nephroureterectomy: better stratification for adjuvant therapy |
topic | Urothelial Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257658/ https://www.ncbi.nlm.nih.gov/pubmed/35813249 http://dx.doi.org/10.1016/j.euros.2022.05.004 |
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