Literature DB >> 26844474

Risk Factors Predictive of Recurrence and Progression for Patients Who Suffered Initial Recurrence After Transurethral Resection of Stage pT1 Bladder Tumor in Chinese Population: A Retrospective Study.

Zhonghua Shen1, Linguo Xie, Tao Chen, Dawei Tian, Xiaoteng Liu, Hao Xu, Yu Zhang, Zhouliang Wu, Nan Sha, Chen Xing, Na Ding, Hailong Hu, Changli Wu.   

Abstract

Bladder cancer is one of the most common malignancies worldwide and the stage pT1nonmuscle invasive bladder cancer (NMIBC) has a high probability of recurrence after initial diagnosis and treatment. However, risk factors predictive of repeated recurrence and progression of pT1 bladder tumors after primary relapse have not been uncovered. Thus, we conducted the retrospective study.A total of 418 patients who suffered initial recurrence after transurethral resection (TUR) of pT1 bladder tumor were selected for the analyses. Clinic information of the patients was retrieved from their medical records. Recurrence-free survival (RFS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. Univariate and multivariate analyses were performed using a Cox proportional hazards regression model. The probability of recurrence and progression by multivariate analyses was used as a surrogate marker to construct receiver operating curve (ROC).Results showed that variables including time to prior recurrence time, prior treatment, number of tumor, tumor size, tumor grade, and time of instillation after surgery were associated with the repeated recurrence of pT1 bladder tumor (P < 0.05). The variables including time to prior recurrence time, tumor size, tumor grade, carcinoma in situ (CIS), and time of instillation after surgery were associated with progression of pT1 bladder tumor (P < 0.05). In the present study, the multivariate model showed an area under ROC (AUC) value of 0.754 and 0.798 for tumor recurrence and progression, respectively, which was more effective in prediction than a single risk factor.In conclusion, we have identified several risk factors relevant to RFS and PFS for patients who have had a history of recurrence of pT1 bladder tumor after TUR. These predictive factors may help urologists to stratify patients into distinct risk groups of recurrence and progression, which probably contributes to the individualized treatment for patients.

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Year:  2016        PMID: 26844474      PMCID: PMC4748891          DOI: 10.1097/MD.0000000000002625

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


INTRODUCTION

Bladder cancer is one of the major causes for new cancer cases and cancer-related mortality for men worldwide. It is estimated that 429,800 new cases and 165,100 deaths of bladder cancer occurred in 2012 worldwide.[1] Approximately 75% of patients with bladder cancer belong to nonmuscle invasive bladder cancer (NMIBC).[2,3] The tumors of NMIBC are routinely treated by transurethral resection (TUR) and/or intravesical instillation. However, the prognosis of NMIBC is not satisfying, as the 5-year recurrence rate for NMIBC was reported ranging from 31% to 78% and the progression rate from NMIBC to muscle invasive bladder cancer (MIBC) ranged from 0.8% to 45%.[4] In EAU guidelines, patients with stage pT1 bladder tumor are considered at a high risk for recurrence, whereas patients with stage pTa tumor are classified into the group of low risk for recurrence (Guidelines on Nonmuscle-invasive Bladder Cancer (Ta, T1, and CIS), http://uroweb.org/guideline/non-muscle-invasive-bladder-cancer/, July 21, 2015). Accordingly, strict tumor surveillance for patients with stage pT1 bladder cancer and a recurrent history are highly suggested, which probably makes use of prognostic factors with a high efficacy in prediction of recurrence and progression. Over the past decades, although a number of studies aiming to determine the prognostic factors for patients with superficial bladder cancer have been published,[5-9] most of them focused on the initial recurrence and progression of the tumor. With respect to patients who were initially diagnosed with pT1 bladder tumor and have suffered primary recurrence after TUR, the risk factors for repeated recurrence and progression have not been revealed. The aim of this study is to evaluate the risk factors predictive of repeated recurrence and progression for patients with pT1 bladder tumor in Chinese population based on a set of routinely assessed clinical and pathological factors.

PATIENTS AND METHODS

Study Population

The present study was conducted with approval of the institutional review board of Second Hospital of Tianjin Medical University. A total of 1549 patients with NMIBC who underwent TUR form June 2005 to June 2011 at the hospital were screened and eventually a total of 418 cases fulfilled the predefined inclusion criteria. Clinical and pathological information was retrospectively obtained from patient charts and electronic medical records. The inclusion criteria were as follows. First, cystoscopy and cytology were performed before TUR. All exophytic lesions underwent a complete resection including deep resection of the tumor base. Three to six weeks later, the secondary transurethral resection was conducted and patients with MIBC were confirmed by radical cystectomy. Second, all patients must have a history of primary recurrence and the tumor was initially diagnosed as NMIBC. Third, tumor was pathologically diagnosed as stage pT1 bladder tumor. Fourth, the detailed assessment of primary tumor histology was available. Fifth, adjuvant intravesical chemotherapy was adopted after TUR. The chemotherapy drug was the Epirubicin or Pirarubicin. None of the patients received adjuvant immunotherapy due to the inaccessibility of BCG in China. Exclusion criteria included presence of urethral or upper tract primaries, or distant metastasis at diagnosis, absence of re-TUR, or patients with MIBC were not confirmed by radical cystectomy, and patients failed to receive further treatment. All patients were treated with TUR, which was carried out according to a standardized procedure. All visible tumors or suspicious mucosal lesions were resected with a monopolar loop electrode. The resection was extended to the deep muscle layer of the bladder at the base of the tumor, reaching perivesical fat. The clinicopathological variables involved in the present study included patient age, gender, smoking history, diabetes, prior recurrence time, prior treatment, location, number of tumors, tumor size, pathological stage, pathological grade, chemotherapeutic agents, and immediate instillation or not. Tumor size was defined as the largest diameter of the surgical specimen on macroscopic analysis. Pathological stage was reassigned by a single genitourinary pathologist (JCC) according to the TNM classification (2002) staging system (TNM Classification of Malignant Tumors, 6th edition, http://www.uicc.org/tnm-classification-malignant-tumours-6th-edition, July 21, 2015), and tumor grading was done according to the 2004 WHO grading system.[10] Postoperative follow-up proceeded with cystoscopy at 3-month interval for the first 2 years followed by 6-month interval until the fifth year and annually thereafter according to the US and European guidelines.[11] The end points of this study were recurrence-free survival (RFS): time from randomization to the date of the first bladder recurrence. Patients who still alive and without recurrence were censored at the date of the last available follow-up cystoscopy. Time to progression to muscle invasive disease (progression-free survival, PFS): time from randomization to the date of first increase to stage T2 or higher disease in the bladder. Patients who still alive and without muscle invasion were censored at the date of the last available follow-up cystoscopy.[4,12]

Statistical Analysis

Descriptive statistical analysis was conducted for the variables. Continuous variables were analyzed using independent-sample t test, and categorical variables were analyzed using Chi-square test. Univariate Cox proportional hazard analysis was performed to verify independent parameters predictive of recurrence and progression. Selected variables that showed significant differences in univariate analysis were included in a multivariate Cox proportional hazard analysis to further identify parameters predictive of recurrence and progression. The probability of recurrence and progression resulting from multivariate Cox proportional hazard model was used as a surrogate marker to construct receiver operating characteristic (ROC) curve. Area under curve (AUC) of ROC was used to evaluate the performance of factors predictive of recurrence and progression. Z-test was performed to evaluate the difference between AUCs of factors in the model.[15] RFS and PFS curves were calculated by the Kaplan–Meier method and the differences between curves were analyzed by the log-rank test. All statistical analyses were performed using statistical software (version 20.0, SPSS, IBM company, Armonk, New York). All statistical tests were 2-sided and considered to be significant if the P value was <0.05.

RESULTS

The main characteristics of the patients are given in Table 1. There were 348 males (83.3%) and 70 females (16.7%) enrolled in our study. Mean age at surgery was 65.1 years (range 27–91 years). The median follow-up duration was 53.5 months (range 2–120 months). Of these patients, 197 (47.1%) suffered recurrence and 63 (15.1%) suffered progression.
TABLE 1

Demographic and Clinical Characteristics of Patients

Demographic and Clinical Characteristics of Patients Results from univariate (Tables 2 and 3) and multivariate (Table 4) Cox proportional hazard analysis showed that the variables, including prior recurrence time, previous treatment, number of tumors, tumor size, tumor grade, time of instillation, were associated with repeated recurrence. The variables including prior recurrence time, tumor size, tumor grade, CIS, and time of instillation were found to be associated with tumor progression in the cohort of this study.
TABLE 2

Univariate Analysis Predictive of Prognostic Factors for Recurrence-free Survival and Progression-free Survival

TABLE 3

Univariate Analysis Predict the Prognostic Factors for Recurrence-free Survival and Progression-free Survival of pT1 High Grade

TABLE 4

Multivariate Analysis Predictive of Prognostic Factors for RFS and PFS

Univariate Analysis Predictive of Prognostic Factors for Recurrence-free Survival and Progression-free Survival Univariate Analysis Predict the Prognostic Factors for Recurrence-free Survival and Progression-free Survival of pT1 High Grade Multivariate Analysis Predictive of Prognostic Factors for RFS and PFS For high-grade pT1 bladder tumor, the factors including prior recurrence time, previous treatment, number of tumor, and time of instillation were in relation to repeated recurrence. The progression of high-grade pT1 bladder tumor was influenced by prior recurrence time, tumor size, CIS, and time of instillation after surgery (Table 5).
TABLE 5

Multivariate Analysis Predict the Prognostic Factors for Recurrence-free Survival and Progression-free Survival of pT1 High Grade

Multivariate Analysis Predict the Prognostic Factors for Recurrence-free Survival and Progression-free Survival of pT1 High Grade To evaluate the performance of the risk factors on prediction of recurrence, ROC analysis was performed (Table 6, Figure 1). The AUCs regarding prior recurrence time, previous treatment, number of tumor, tumor size, tumor grade, time of instillation were 0.652, 0.568, 0.501, 0.638, 0.645, and 0.596, respectively. The AUC for multivariate model on prediction was 0.754, showing a higher efficacy than a single factor. With respect to progression prediction, the AUCs for prior recurrence time, tumor size, tumor grade, CIS, and timing of instillation were 0.646, 0.643, 0.647, 0.553, and 0.591, respectively. The AUC of multivariate prediction model for progression was 0.798, suggesting that a group of risk factors were more effective on prediction than a single factor (Table 6, Figure 2).
TABLE 6

Area Under Receiver Operating Curve

FIGURE 1

Receiver operating curve of recurrence.

FIGURE 2

Receiver operating curve of progression.

Area Under Receiver Operating Curve Receiver operating curve of recurrence. Receiver operating curve of progression. Mean follow-up duration was 72.6 and 58.9 months for patients with low-grade pT1 tumor and high-grade pT1 tumor, respectively. Eighty-three out of the 204 (40.7%) patients with low-grade tumor and 111 out of the 207 (53.6%) patients with high-grade pT1 tumor suffered repeated recurrence. Analysis showed that 18 of the 204 (8.8%) patients with low-grade pT1 tumor and 45 of the 207 (21.7%) patients with high-grade tumor suffered progression of the tumor. There was significant difference in rate of recurrence between the low-grade group and the high-grade group (P = 0.01), as well as in rate of progression between the 2 groups (P < 0.001) (Table 7). The patients with high-grade pT1 tumor had shorter mean RFS (P = 0.006) and PFS (P < 0.001) than those with low-grade pT1 tumor (Figures 3 and 4).
TABLE 7

Recurrence and Progression Outcomes of Different Pathology Grade Treatments After TUR for pT1 Bladder Cancer With a History of TUR

FIGURE 3

Kaplan–Meier curves of the recurrence-free survival rates for the 2 groups (log-rank test result: 0.006). Cum = cumulative; RFS = recurrence-free survival.

FIGURE 4

Kaplan–Meier curves of the progression-free survival rates for the 2 groups (log-rank test result: <0.001). Cum = cumulative; PFS = progression-free survival.

Recurrence and Progression Outcomes of Different Pathology Grade Treatments After TUR for pT1 Bladder Cancer With a History of TUR Kaplan–Meier curves of the recurrence-free survival rates for the 2 groups (log-rank test result: 0.006). Cum = cumulative; RFS = recurrence-free survival. Kaplan–Meier curves of the progression-free survival rates for the 2 groups (log-rank test result: <0.001). Cum = cumulative; PFS = progression-free survival.

DISCUSSION

Patients who were diagnosed with stage pT1 bladder cancer and treated with TUR have a high probability of recurrence and progression of the tumor. Thus, it is important to find out the risk factors predictive of recurrence and progression, so that postoperative follow-up or radical cystectomy might be adopted in time for better treatment. With respect to the stage pT1 bladder cancer, previous studies focused on the risk factors in relation to the primary recurrence of pT1 bladder tumor and its progression to MIBC. For instance, Takaoka et al[13] retrospectively analyzed 73 patients with high-grade pT1 bladder cancer, focusing on the initial TUR, RFS, and PFS, as well as risk factors related to the presence of residual tumors in the second TURBT. To evaluate the prognostic value of the depth of lamina propria invasion in patients with pT1 bladder cancer, Soukup et al[14] made a retrospective analysis, which led to the finding that deep invasion of the lamina propria is a significant adverse prognostic factor for tumor progression, disease-specific survival, and overall survival. Similarly, another study[9] showed that the aggregate length of invasion might be a prognostic variable for high-risk NMIBC. Taken together, the aforementioned studies all focused on pT1 bladder cancer and are featured by the investigation of a single factor associated with recurrence and progression. Although Liu et al[15] have identified several risk factors relevant with recurrence through reviewing 698 patients who received TURBT in a single center and proposed a new model on the basis of multivariate logistic result, their model is applicable for the initial recurrence prediction, not for repeated recurrence. In the present study, we propose a prediction model via multivariate logistic regression incorporating the impacts of a set of clinicopathologic variables, to evaluate the prognosis of patients who had pT1 bladder cancer and had suffered initial recurrence after TUR treatment. The multivariate model showed an AUC value of 0.754 and 0.758 for repeated recurrence and progression, respectively, in the cohort including 418 patients. Our model makes use of the clinicopathologic parameters that can be readily collected, as well as enables an early prognosis prediction for the patients. Therefore, it might be of significance to the patient population who meet the inclusion criteria in this study. The poor prognosis of T1G3 patients has been the subject of a number of recent publications.[16-18] We also observed that high-grade pT1 bladder tumor had shorter mean RFS and PFS than low-grade pT1 bladder tumor in the cohort. It has been reported that patients with high-risk NMIBC have poor prognosis due to the tumor progression and approximately 5% of pT1 bladder tumors have regional nodal metastasis at presentation.[19] Currently, T1G3 bladder cancer is treated with early radical cystectomy or TURBT followed by adjuvant intravesical therapy with BCG, but the prognosis was not satisfying. More effective therapeutic methods are anticipated to treat T1G3 bladder cancer. Chemotherapy instillation following TUR of bladder tumor was the only option for patients in China before the approval of BCG in 2014, although BCG instillation is considered as the best choice for adjuvant therapy after TUR.[11] A randomized study conducted by Okamura et al[20] showed that immediate pirarubicin instillation after TUR reduced recurrence of superficial bladder carcinoma. Perlis et al[21] found that epirubicin reduced recurrence of NMIBC after a pooled analysis of 2548 patients. For Chinese patients, Liu et al[15] found that anthracycline antibiotics (eg, epirubicin and pirarubicin) outweighed other agents (eg, mitoxantrone, mitomycin C, and hydroxycamptothecine) in preventing short-term recurrence. In this study, we find that epirubicin and pirarubicin have the same effects on prognosis of pT1 bladder cancer after TUR. We also observed that immediate instillation (≤24 hours) after TUR is an independent prognostic factor for patients with pT1 bladder cancer. As immediate instillation may destruct circulating tumor cells resulting from TURBT[20] and ablate residual tumor cells at resection sites and small overlooked tumors,[22-24] it is expected that to some extent timing of instillation after TUR is associated with prognosis of the patients. Lammers et al[25] found that the recurrent history, multiplicity, and smoking status were predictive factors for RFS of NMIBC. Later, Rink et al[26] showed that accumulative smoking exposure was associated with bladder cancer recurrence, progression, and overall survival. In contrast, Grotenhuis et al[27] showed that smoking status, smoking intensity, or timing of cessation before diagnosis did not seem to alter the risk of recurrence and progression for patients with NMIBC. In the present study, our analysis generally support that smoking status has no impact on recurrence and progression of patients who had suffered initial recurrence after TUR of stage pT1 bladder tumor and immediate instillation chemotherapy. As cigarette smoking is an environmental stress that acts via interplaying with genetic factors, the difference in conclusion regarding smoking status and bladder cancer incidence in the studies referenced above may be attributed to genetic heterogeneity of the cohorts. In this study, we were unable to determine the associations of smoking intensity and timing of cessation with prognosis of patients in this study due to lack of information of patients on the 2 variables. Hwang et al[28] showed that diabetes was an independent predictive factor of RFS and PFS in NMIBC patients. In the study by Hwang et al,[28] 92 of the 251 (37%) patients who underwent TUR for NMIBC from January 2000 to June 2010 had diabetes. In the present study, we observed that diabetes was not associated with the risks of recurrence (P = 0.639) and progression (P = 0.721) in the cohort. The proportion of diabetes in our cohort was 16.3% (n = 68), which is much smaller than that in the study by Hwang et al.[28] To be noticed, patients in our cohort were initially diagnosed with pT1 bladder cancer and had suffered recurrence after TUR. Considering the differences in proportion of diabetes and clinic status of patients between the 2 studies, the discrepancy in conclusions regarding the impact of diabetes on outcomes between the 2 populations might be reasonable. Further prospective studies are anticipated to establish the prognostic significance of postoperative glycemic control for patients with stage pT1 NMIBC. In conclusion, our study identifies several predictive factors for RFS and PFS of patients who initially had stage pT1 bladder cancer and suffered initial recurrence after TUR. These predictors allow the urologists to stratify patients into groups according to the risk of recurrence and progression for an individualized treatment and follow-up plan. We realize the limitations in the study that are inherent to its retrospective, nonrandomized, and its single-institution nature, which might cause selection bias. Thus, a prospective and randomized study should be conducted to validate our findings.
  28 in total

1.  Correlation between clinical and pathological staging in a series of radical cystectomies for bladder carcinoma.

Authors:  Vincenzo Ficarra; Orietta Dalpiaz; Najati Alrabi; Giacomo Novara; Antonio Galfano; Walter Artibani
Journal:  BJU Int       Date:  2005-04       Impact factor: 5.588

2.  Inhibition of tumor implantation by intravesical gemcitabine in a murine model of superficial bladder cancer.

Authors:  Carsten Philipp Brocks; Hartwig Büttner; Andreas Böhle
Journal:  J Urol       Date:  2005-09       Impact factor: 7.450

3.  Impact of diabetes mellitus on recurrence and progression in patients with non-muscle invasive bladder carcinoma: a retrospective cohort study.

Authors:  Eu Chang Hwang; Young Jung Kim; In Sang Hwang; Jun Eul Hwang; Seung Il Jung; Dong Deuk Kwon; Kwangsung Park; Soo Bang Ryu
Journal:  Int J Urol       Date:  2011-09-13       Impact factor: 3.369

4.  Prognostic factors and risk groups in T1G3 non-muscle-invasive bladder cancer patients initially treated with Bacillus Calmette-Guérin: results of a retrospective multicenter study of 2451 patients.

Authors:  Paolo Gontero; Richard Sylvester; Francesca Pisano; Steven Joniau; Kathy Vander Eeckt; Vincenzo Serretta; Stéphane Larré; Savino Di Stasi; Bas Van Rhijn; Alfred J Witjes; Anne J Grotenhuis; Lambertus A Kiemeney; Renzo Colombo; Alberto Briganti; Marek Babjuk; Per-Uno Malmström; Marco Oderda; Jacques Irani; Nuria Malats; Jack Baniel; Roy Mano; Tommaso Cai; Eugene K Cha; Peter Ardelt; John Varkarakis; Riccardo Bartoletti; Martin Spahn; Robert Johansson; Bruno Frea; Viktor Soukup; Evanguelos Xylinas; Guido Dalbagni; R Jeffrey Karnes; Shahrokh F Shariat; Joan Palou
Journal:  Eur Urol       Date:  2014-07-16       Impact factor: 20.096

5.  The 3-month clinical response to intravesical therapy as a predictive factor for progression in patients with high risk superficial bladder cancer.

Authors:  E Solsona; I Iborra; R Dumont; J Rubio-Briones; J Casanova; S Almenar
Journal:  J Urol       Date:  2000-09       Impact factor: 7.450

Review 6.  EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder: update 2013.

Authors:  Marko Babjuk; Maximilian Burger; Richard Zigeuner; Shahrokh F Shariat; Bas W G van Rhijn; Eva Compérat; Richard J Sylvester; Eero Kaasinen; Andreas Böhle; Joan Palou Redorta; Morgan Rouprêt
Journal:  Eur Urol       Date:  2013-06-12       Impact factor: 20.096

7.  Smoking status is a risk factor for recurrence after transurethral resection of non-muscle-invasive bladder cancer.

Authors:  Rianne J M Lammers; Wim P J Witjes; Kees Hendricksen; Christien T M Caris; Maria H C Janzing-Pastors; J Alfred Witjes
Journal:  Eur Urol       Date:  2011-07-14       Impact factor: 20.096

Review 8.  Improving selection criteria for early cystectomy in high-grade t1 bladder cancer: a meta-analysis of 15,215 patients.

Authors:  William Martin-Doyle; Jeffrey J Leow; Anna Orsola; Steven L Chang; Joaquim Bellmunt
Journal:  J Clin Oncol       Date:  2015-01-05       Impact factor: 44.544

9.  Inhibition of implantation of murine bladder tumor by thiotepa in cauterized bladder.

Authors:  J S Pan; H K Slocum; Y M Rustum; W R Greco; J F Gaeta; R P Huben
Journal:  J Urol       Date:  1989-12       Impact factor: 7.450

10.  TUR and adjuvant intravesical chemotherapy in T1G3 bladder tumors: recurrence, progression and survival in 137 selected patients followed up to 20 years.

Authors:  Vincenzo Serretta; Carlo Pavone; Giovan Battista Ingargiola; Giuseppe Daricello; Rosalinda Allegro; Michele Pavone-Macaluso
Journal:  Eur Urol       Date:  2004-06       Impact factor: 20.096

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Authors:  Askin Eroglu; Rahmi Gokhan Ekin; Gokhan Koc; Rauf Taner Divrik
Journal:  Int J Clin Oncol       Date:  2019-11-23       Impact factor: 3.402

2.  Histopathologic Evolution of Urothelial Carcinoma Recurrence in Transurethral Resection of the Urinary Bladder:35 Consecutive Cases And Literature Review

Authors:  Ali Koyuncuer
Journal:  Asian Pac J Cancer Prev       Date:  2017-02-01

Review 3.  Bladder leiomyoma presenting as dyspareunia: Case report and literature review.

Authors:  Jun Xin; Hai-Ping Lai; Shao-Kun Lin; Qing-Quan Zhang; Chu-Xiao Shao; Lie Jin; Wen-Hui Lei
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

4.  Validation of EORTC, CUETO, and EAU risk stratification in prediction of recurrence, progression, and death of patients with initially non-muscle-invasive bladder cancer (NMIBC): A cohort analysis.

Authors:  Mateusz Jobczyk; Konrad Stawiski; Wojciech Fendler; Waldemar Różański
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