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Yang S, Zhou H, Feng C, Xu N, Fan Y, Zhou Z, Xu Y, Fan G, Liao X, He S. Web-Based Nomograms for Overall Survival and Cancer-Specific Survival of Bladder Cancer Patients with Bone Metastasis: A Retrospective Cohort Study from SEER Database. J Clin Med 2023; 12:jcm12020726. [PMID: 36675655 PMCID: PMC9865586 DOI: 10.3390/jcm12020726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Our study aimed to explore the prognostic factors of bladder cancer with bone metastasis (BCBM) and develop prediction models to predict the overall survival (OS) and cancer-specific survival (CSS) of BCBM patients. METHODS A total of 1438 patients with BCBM were obtained from the SEER database. Patients from 2010 to 2016 were randomly divided into training and validation datasets (7:3), while patients from 2017 were divided for external testing. Nomograms were established using prognostic factors identified through Cox regression analyses and validated internally and externally. The concordance index (C-index), calibration plots, and time-dependent receiver operating characteristic (ROC) curves were used to evaluate the discrimination and calibration of nomogram models, while decision curve analyses (DCA) and Kaplan-Meier (KM) curves were used to estimate the clinical applicability. RESULTS Marital status, tumor metastasis (brain, liver, and lung), primary site surgery, and chemotherapy were indicated as independent prognostic factors for OS and CSS. Calibration plots and the overall C-index showed a novel agreement between the observed and predicted outcomes. Nomograms revealed significant advantages in OS and CSS predictions. AUCs for internal and external validation were listed as follows: for OS, 3-month AUCs were 0.853 and 0.849; 6-month AUCs were 0.873 and 0.832; 12-month AUCs were 0.825 and 0.805; for CSS, 3-month AUCs were 0.849 and 0.847; 6-month AUCs were 0.870 and 0.824; 12-month AUCs were 0.815 and 0.797, respectively. DCA curves demonstrated good clinical benefit, and KM curves showed distinct stratification performance. CONCLUSION The nomograms as web-based tools were proved to be accurate, efficient, and clinically beneficial, which might help in patient management and clinical decision-making for BCBM patients.
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Affiliation(s)
- Sheng Yang
- Department of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
- Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai 200072, China
| | - Hongmin Zhou
- Department of Urology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Chaobo Feng
- Department of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
- Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai 200072, China
| | - Ningze Xu
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yunshan Fan
- Department of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
- Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai 200072, China
| | - Zhi Zhou
- Department of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
- Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai 200072, China
| | - Yunfei Xu
- Department of Urology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Guoxin Fan
- National Key Clinical Pain Medicine of China, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518060, China
- Department of Spine Surgery, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, China
- Correspondence: (G.F.); (X.L.); (S.H.)
| | - Xiang Liao
- National Key Clinical Pain Medicine of China, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
- Correspondence: (G.F.); (X.L.); (S.H.)
| | - Shisheng He
- Department of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China
- Spinal Pain Research Institute, Tongji University School of Medicine, Shanghai 200072, China
- Correspondence: (G.F.); (X.L.); (S.H.)
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Effects of Different Organ Metastases on the Prognosis of Stage IV Urothelial Carcinoma of the Bladder. JOURNAL OF ONCOLOGY 2022; 2022:8594022. [PMID: 36385960 PMCID: PMC9646306 DOI: 10.1155/2022/8594022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/25/2022] [Accepted: 10/14/2022] [Indexed: 11/07/2022]
Abstract
Objective To assess the prognosis of stage IV metastatic urinary bladder urothelial carcinoma (UBUC) at initial diagnosis and determine prognostic factors based on distant organ metastasis. Methods A retrospective cohort analysis of UBUC was conducted based on the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression analyses were used to determine the variables associated with overall survival (OS). Kaplan–Meier curves were used to compare survival curves among different groups. Results A total of 3103 patients with stage IV UBUC were selected for analysis. The number of distant organ metastatic sites independently predicted the OS. The OS was not different in other metastatic sites when bone metastasis was used as a reference (P > 0.05). However, the OS was shorter for a single metastatic site (P < 0.001) and multiple metastatic sites when metastasis was not used as a reference (P < 0.001). Multivariable Cox regression analysis indicated that low survivorship was independently associated with no surgery for the entire cohort and patients with only one metastatic organ. Sex (P = 0.019) and grade (P = 0.046) were the independent risk factors for patients with only one metastatic organ. Conclusions These results show that the prognosis of stage IV metastatic UBUC is not different between any single metastatic organ. The prognosis of stage IV metastatic UBUC depends on the number of distant organ metastasis. This study determined some predictors of survival and thus may help therapists to choose appropriate treatment strategies for metastatic UBUC.
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Lim AH, Westerman ME, Korokovic A, Matulay JT, Narayan VM, Navai N. Efficacy of Surgery on the Primary Tumour in Patients with Metastatic Bladder Cancer: A Comprehensive Review. Bladder Cancer 2022; 8:193-209. [PMID: 38993364 PMCID: PMC11181818 DOI: 10.3233/blc-211529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 01/19/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND The benefit of surgery of the primary tumor in metastatic bladder cancer is unknown. OBJECTIVE Perform a comprehensive contemporary literature review on the benefit of surgery of the primary tumor in metastatic bladder cancer. METHODS Ovid MEDLINE, Ovid EMBASE, and Cochrane Library from January 1, 1990 to April 20, 2020 were queried for relevant articles published in English. Each article was evaluated by at least two content experts prior to inclusion which were blinded to the other's evaluation. A third content expert was used when there was not a unanimous decision. Additional articles were added at the discretion of the authors. RESULTS Long-term survival is possible in patients with initially unresectable and/or limited metastatic disease. Multi-modal therapy with chemotherapy and surgery have the most favorable outcomes when compared to single treatment modalities in selected populations. Patients who demonstrate a robust response to pre-surgical therapy are likely to benefit the most from consolidative surgery. Patients with distant metastatic disease may benefit from consolidative surgery; however, this benefit may only be seen in those with metastatic disease limited to one site. CONCLUSIONS Surgery of the primary tumor in metastatic bladder cancer either in the setting of surgery alone, consolidative therapy or coupled with adjuvant therapy may be beneficial in well selected patients and should generally be limited to those who have a response to primary chemotherapy. Randomized clinical control trials are needed to further our understanding of the role of surgery in metastatic bladder cancer.
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Affiliation(s)
- Amy H Lim
- Department of Urology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Mary E Westerman
- Department of Urology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Korokovic
- Department of Urology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Justin T Matulay
- Department of Urology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Vikram M Narayan
- Department of Urology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Neema Navai
- Department of Urology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
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Sorce G, Flammia RS, Hoeh B, Chierigo F, Hohenhorst L, Panunzio A, Stabile A, Gandaglia G, Tian Z, Tilki D, Terrone C, Gallucci M, Chun FKH, Antonelli A, Saad F, Shariat SF, Montorsi F, Briganti A, Karakiewicz PI. Grade and stage misclassification in intermediate unfavorable-risk prostate cancer radiotherapy candidates. Prostate 2022; 82:1040-1050. [PMID: 35365851 PMCID: PMC9325037 DOI: 10.1002/pros.24349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/20/2022] [Accepted: 03/22/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND We tested for upgrading (Gleason grade group [GGG] ≥ 4) and/or upstaging to non-organ-confined stage ([NOC] ≥ pT3/pN1) in intermediate unfavorable-risk (IU) prostate cancer (PCa) patients treated with radical prostatectomy, since both change the considerations for dose and/or type of radiotherapy (RT) and duration of androgen deprivation therapy (ADT). METHODS We relied on Surveillance, Epidemiology, and End Results (2010-2015). Proportions of (a) upgrading, (b) upstaging, or (c) upgrading and/or upstaging were tabulated and tested in multivariable logistic regression models. RESULTS We identified 7269 IU PCa patients. Upgrading was recorded in 479 (6.6%) and upstaging in 2398 (33.0%), for a total of 2616 (36.0%) upgraded and/or upstaged patients, who no longer fulfilled the IU grade and stage definition. Prostate-specific antigen, clinical stage, biopsy GGG, and percentage of positive cores, neither individually nor in multivariable logistic regression models, discriminated between upgraded and/or upstaged patients versus others. CONCLUSIONS IU PCa patients showed very high (36%) upgrading and/or upstaging proportion. Interestingly, the overwhelming majority of those were upstaged to NOC. Conversely, very few were upgraded to GGG ≥ 4. In consequence, more than one-third of IU PCa patients treated with RT may be exposed to suboptimal dose and/or type of RT and to insufficient duration of ADT, since their true grade and stage corresponded to high-risk PCa definition, instead of IU PCa. Data about magnetic resonance imaging were not available but may potentially help with better stage discrimination.
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Affiliation(s)
- Gabriele Sorce
- Department of Urology, Division of Experimental OncologyURI, Urological Research Institute, IRCCS San Raffaele Scientific InstituteMilanItaly
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
| | - Rocco Simone Flammia
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
- Department of Maternal‐Child and Urological Sciences, Policlinico Umberto I HospitalSapienza University of RomeRomeItaly
| | - Benedikt Hoeh
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
- Department of UrologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Francesco Chierigo
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
- Department of Surgical and Diagnostic Integrated Sciences (DISC)University of GenovaGenovaItaly
| | - Lukas Hohenhorst
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
- Department of UrologyMartini‐Klinik Prostate Cancer Center, University Hospital Hamburg‐EppendorfHamburgGermany
| | - Andrea Panunzio
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
- Department of UrologyUniversity of Verona, Azienda Ospedaliera Universitaria Integrata di VeronaVeronaItaly
| | - Armando Stabile
- Department of Urology, Division of Experimental OncologyURI, Urological Research Institute, IRCCS San Raffaele Scientific InstituteMilanItaly
| | - Giorgio Gandaglia
- Department of Urology, Division of Experimental OncologyURI, Urological Research Institute, IRCCS San Raffaele Scientific InstituteMilanItaly
| | - Zhe Tian
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
| | - Derya Tilki
- Department of UrologyMartini‐Klinik Prostate Cancer Center, University Hospital Hamburg‐EppendorfHamburgGermany
- Department of UrologyUniversity Hospital Hamburg‐EppendorfHamburgGermany
- Department of UrologyKoc University HospitalInstanbulTurkey
| | - Carlo Terrone
- Department of Surgical and Diagnostic Integrated Sciences (DISC)University of GenovaGenovaItaly
| | - Michele Gallucci
- Department of Maternal‐Child and Urological Sciences, Policlinico Umberto I HospitalSapienza University of RomeRomeItaly
| | - Felix K. H. Chun
- Department of UrologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Alessandro Antonelli
- Department of UrologyUniversity of Verona, Azienda Ospedaliera Universitaria Integrata di VeronaVeronaItaly
| | - Fred Saad
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
| | - Shahrokh F. Shariat
- Departments of UrologyWeill Cornell Medical CollegeNew YorkNew YorkUSA
- Department of UrologyUniversity of Texas SouthwesternDallasTexasUSA
- Department of Urology, Second Faculty of MedicineCharles UniversityPragaCzech Republic
- Department of Urology, Institute for Urology and Reproductive HealthI.M. Sechenov First Moscow State Medical UniversityMoscowRussia
- Division of Urology, Hourani Center for Applied Scientific ResearchAl‐Ahliyya Amman UniversityAmmanJordan
- Department of Urology, Comprehensive Cancer CenterMedical University of ViennaViennaAustria
| | - Francesco Montorsi
- Department of Urology, Division of Experimental OncologyURI, Urological Research Institute, IRCCS San Raffaele Scientific InstituteMilanItaly
| | - Alberto Briganti
- Department of Urology, Division of Experimental OncologyURI, Urological Research Institute, IRCCS San Raffaele Scientific InstituteMilanItaly
| | - Pierre I. Karakiewicz
- Division of Urology, Cancer Prognostics and Health Outcomes UnitUniversity of Montréal Health CenterMontréalQuébecCanada
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The Effect of Systemic Chemotherapy on Survival in Patients With Localized, Regional, or Metastatic Adenocarcinoma of the Urinary Bladder. Am J Clin Oncol 2020; 43:567-574. [PMID: 32467527 DOI: 10.1097/coc.0000000000000704] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVES To test the effect of systemic chemotherapy on cancer-specific mortality (CSM) in patients with adenocarcinoma of the urinary bladder (ADKUB). MATERIALS AND METHODS Within the Surveillance, Epidemiology, and End Results registry (2004 to 2016), we identified patients with localized (T2-3N0M0), regional (T4N0M0/TanyN1-3M0), and metastatic (TanyNanyM1) ADKUB. Temporal trends, Kaplan-Meier plots, and multivariable Cox regression models were used before and after 1:1 propensity score matching and inverse probability of treatment weighting. RESULTS Of 1537 patients with ADKUB, 834 (54.0%), 363 (23.5%), and 340 (22.5%) harbored localized, regional, and metastatic disease, respectively. The rates of chemotherapy use increased in localized (estimated annual percentage change [EAPC]: +2.7%; P=0.03) and regional ADKUB (EAPC: +2.4%; P=0.04). Conversely, chemotherapy rates remained stable in metastatic patients (EAPC: +1.6%; P=0.4). In multivariable Cox regression models, chemotherapy use was associated with lower CSM in metastatic ADKUB (hazard ratio [HR]: 0.5; P=0.003), but not in either localized (HR: 0.8; P=0.2) or in regional ADKUB (HR: 1.0; P=0.9). In metastatic ADKUB, the benefit of chemotherapy on CSM persisted after 1:1 propensity score matching (HR: 0.6; P=0.002) and after inverse probability of treatment weighting (HR: 0.4; P<0.001). CONCLUSIONS Chemotherapy improves survival in metastatic ADKUB. However, only one out of 2 such patients benefit from chemotherapy. In consequence, greater emphasis on chemotherapy use may be warranted in these patients. Conversely, no benefit was identified in localized or regional ADKUB.
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Identification of Prognostic Immune Genes in Bladder Urothelial Carcinoma. BIOMED RESEARCH INTERNATIONAL 2020; 2020:7510120. [PMID: 32420368 PMCID: PMC7201587 DOI: 10.1155/2020/7510120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 11/20/2019] [Accepted: 12/17/2019] [Indexed: 12/27/2022]
Abstract
Background The aim of this study is to identify possible prognostic-related immune genes in bladder urothelial carcinoma and to try to predict the prognosis of bladder urothelial carcinoma based on these genes. Methods The Cancer Genome Atlas (TCGA) expression profile data and corresponding clinical traits were obtained. Differential gene analysis was performed using R software. Reactome was used to analyze the pathway of immune gene participation. The differentially expressed transcription factors and differentially expressed immune-related genes were extracted from the obtained list of differentially expressed genes, and the transcription factor-immune gene network was constructed. To analyze the relationship between immune genes and clinical traits of bladder urothelial carcinoma, a multifactor Cox proportional hazards regression model based on the expression of immune genes was established and validated. Results Fifty-eight immune genes were identified to be associated with the prognosis of bladder urothelial carcinoma. These genes were enriched in Cytokine Signaling in Immune System, Signaling by Receptor Tyrosine Kinases, Interferon alpha/beta signaling, and other immune related pathways. Transcription factor-immune gene regulatory network was established, and EBF1, IRF4, SOX17, MEF2C, NFATC1, STAT1, ANXA6, SLIT2, and IGF1 were screened as hub genes in the network. The model calculated by the expression of 16 immune genes showed a good survival prediction ability (p < 0.05 and AUC = 0.778). Conclusion A transcription factor-immune gene regulatory network related to the prognosis of bladder urothelial carcinoma was established. EBF1, IRF4, SOX17, MEF2C, NFATC1, STAT1, ANXA6, SLIT2, and IGF1 were identified as hub genes in the network. The proportional hazards regression model constructed by 16 immune genes shows a good predictive ability for the prognosis of bladder urothelial carcinoma.
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