Journal List > J Korean Med Sci > v.30(8) > 1022697

Kim, Seo, Shin, Chang, Yun, Joo, Ku, Kim, Jeon, Jeong, Jeong, Kang, Hong, and UCART (urothelial cancer-advanced research and treatment group in Korea) group: Trends in the Use of Chemotherapy before and after Radical Cystectomy in Patients with Muscle-invasive Bladder Cancer in Korea

Abstract

We investigated trends in perioperative chemotherapy use, and determined factors associated with neoadjuvant chemotherapy (NAC) and adjuvant chemotherapy (AC) use in Korean patients with muscle-invasive bladder cancer (MIBC). We recruited 1,324 patients who had MIBC without nodal invasion or metastases and had undergone radical cystectomies (RC) between 2003 and 2013. The study's cut-off time for AC was three months after surgery, and the study's timespan was divided into three periods based on NAC use, namely, 2003-2005, 2006-2009, and 2010-2013. Complete remission was defined as histologically confirmed T0N0M0 after RC. NAC and AC were administered to 7.3% and 18.1% of the patients, respectively. The median time interval between completing NAC and undergoing RC was 32 days and the mean number of cycles was 3.2. The median time interval between RC and AC was 43 days and the mean number of cycles was 4.1. Gemcitabine and cisplatin were most frequently used in combination for NAC (49.0%) and AC (74.9%). NAC use increased significantly from 4.6% between 2003 and 2005 to 8.4% between 2010 and 2013 (P < 0.05), but AC use did not increase. Only 1.9% of patients received NAC and AC. Complete remission after NAC was achieved in 12 patients (12.5%). Multivariable modeling revealed that an advanced age, the earliest time period analyzed, and clinical tumor stage ≤ cT2 bladder cancer were negatively associated with NAC use (P < 0.05). While NAC use has slowly increased over time, it remains an underutilized therapeutic approach in Korean clinical practice.

INTRODUCTION

Reports from annual surveys of bladder cancer (BC) estimate that about 380,000 patients worldwide are newly diagnosed with BC each year, and that there are about 150,000 BC-related deaths each year, which verifies that BC is one of the top 10 cancers worldwide (12). Between 25% and 30% of newly diagnosed patients have muscle invasive BC (MIBC) (34), and the standard treatment for MIBC is radical cystectomy (RC) with urinary diversion and lymph node (LN) dissection (5).
Despite improvements in surgical and medical treatments, the five-year overall survival rates for organ-confined LN-negative disease (pathologic tumor stage > pT2), extravesical disease, and LN metastasis after RC are estimated at 80%, 40%-50%, and 15%-35%, respectively; hence, the five-year overall survival rates have barely improved. These poor survival rates for MIBC are thought to be associated with understaging accompanied by micrometastasis at the time of RC, because postoperative distant recurrences occur more frequently than postoperative local recurrences (20%-50% vs. 5%-15% of cases). These findings suggest that perioperative systemic therapy has the potential to improve survival outcomes for those patients with understaged BC accompanied by micrometastasis (6).
In 2003, the Southwest Oncology Group (SWOG)-8710 randomized controlled trial demonstrated improved survival and pathologic down-staging in association with the use of neoadjuvant chemotherapy (NAC) administered before RC in patients with MIBC (7), and the results from subsequent meta-analyses have also suggested significant benefits associated with NAC (89). However, the adoption of NAC for MIBC has been slow and inconsistent among oncologists, and only 1%-12% of MIBC patients receive NAC (6710111213). Several explanations have been proposed for the slow uptake of the use of NAC for MIBC, including the significant toxicities of the chemotherapeutic agents, the higher proportions of older MIBC patients with multiple comorbidities, poor renal function, and poor performance statuses. Additionally, the slow uptake of the use of NAC for MIBC may be associated with patients being from lower social strata, for example, those from minority races, those on lower incomes, those without insurance, and patients who were treated at low-volume hospital centers.
In Korea, BC has been ranked the eleventh most common cancer and the ninth most common cancer affecting men (14). However, there is no information available about perioperative chemotherapy in Korean patients with MIBC who have undergone RC, and no reports have been published that describe the use of NAC before RC for MIBC in Korea. Therefore, this study used data from 2003 to 2013 that was retrieved from the cancer registries at five tertiary centers in Korea to investigate trends in the use of perioperative chemotherapy before and after RC, to search for general information about perioperative chemotherapy, including NAC, and to determine the reasons underlying the low utilization of NAC in Korean patients with MIBC.

MATERIALS AND METHODS

A total of 1,324 patients with clinical tumor stage≥T2 (cT2-4a N0M0) BC who underwent RC at the five participating Korean tertiary institutions between 2003 and 2013 were retrospectively recruited for this study after data-sharing agreements were approved. Based on information retrieved from the National Health Insurance Cooperation database, the enrolled patients comprised 39.4% (1,259/3,163) of the total number of patients who underwent RC in Korea during the time period investigated in this study, which included patients who did not have MIBC.
In addition to the patients' clinicopathologic data, we gathered information about the chemotherapeutic agents used, the number of chemotherapy cycles undertaken, and the time intervals between chemotherapy and RC. The study's cut-off time for AC was three months after surgery, and the study's time frame was divided into three time periods, namely, 2003-2005, 2006-2009, and 2010-2013, to ensure there was a delineation between 2006 and 2010, and to capture information relating to significantly different rates of NAC use (P<0.05) (Fig. 1).
All of the patients with bladder masses underwent diagnostic transurethral resections of the bladder (TURB) to confirm the presence of MIBC, and those who did not have sufficient tissue to confirm the presence of MIBC underwent diagnostic TURB repeatedly during the course of 1 week. Patients with pure urothelial cell carcinomas or with BC of mixed histologic profiles involving squamous cell and/or glandular differentiation were included in this analysis. Patients with any other histologic variants were excluded from the analysis. Other exclusion criteria included non-MIBC, any MIBC with clinical LN positivity and/or distant metastases, and non-urothelial cell carcinomas, patients who had undergone salvage and palliative cystectomies, and those with no medical follow-up data after RC. A pathologic complete response following NAC was defined as pT0N0M0 without any visible cancer cells in RC specimens. Hospital pathologists from each institution assessed the specimens histopathologically using the World Health Organization's grading system (15) and the American Joint Committee on Cancer tumor-node-metastasis cancer staging system (16).

Statistical analysis

The clinical characteristics of the patients were analyzed with the patients grouped as "All patients", "RC only patients", "NAC and RC patients", and "RC and AC patients", and the data were expressed as numbers and percentages (Table 1). The Chi-squared test and Fisher's exact test were used to compare the clinical characteristics of the patients who received NAC with those who did not receive NAC, and to compare the clinical characteristics of the patients who received AC with those who did not receive AC.
Multivariable analysis was performed to examine chronological changes in NAC and AC after adjusting for all of the clinical characteristics listed in Table 1. All of the variables described in Table 1 were included in the multivariable logistic regression model, and their odds ratios and P values were calculated. In addition, backward selection at a significance level of 0.05 was performed using all of the variables within the multivariable model (Table 2) until no variables with P values>0.05 existed. Table 3 shows the variables with P values<0.05 in the multivariable logistic model. All of the statistical analyses were performed using Stata software version 11.1 (StataCorp, College Station, TX, USA). All P values were two-sided, and P values <0.05 were considered statistically significant.

Ethics statement

This study was approved by the ethics committees and the institutional review boards at each hospital (IRB No. NCC-2014-0117) that participated in the study, and the requirement for the patients to provide consent was waived.

RESULTS

Table 1 presents the patients' demographic and clinicopathologic data. The mean±standard deviation (SD) age of the study population was 64.4±10.0 yr, and the study population comprised 1,141 (86.2%) men and 183 (13.8%) women with BC. Within the study population, 7.3% (96/1,324) received NAC and 18.1% (239/1,324) received AC.
The utilization of NAC increased significantly from 4.6% between 2003 and 2005 to 8.4% between 2010 and 2013 (P=0.019). The utilization of AC did not show any significant changes, with decreases from 20.8% to 16.0% during the three study periods (Fig. 1). The median time interval between completing NAC and undergoing RC was 32 days (range, 9-369 days), and the mean (±SD) number of NAC cycles was 3.2 (±1.8) cycles. The median time interval between AC and RC was 43 days (range, 7-100 days), and the mean (±SD) number of AC cycles was 4.1 (±1.7) cycles. The most frequently used combination of NAC and AC agents was gemcitabine and cisplatin, which was used in 49.0% of NAC and 74.9% of AC recipients, followed by a combination of gemcitabine and carboplatin, which was used in 20.8% of NAC and 14.2% of AC recipients (data not shown). Of the 96 patients who received NAC, five patients delayed undergoing RC by more than three months after completing their NAC treatment, and, of these, three patients were apprehensive about undergoing RC, one patient developed sepsis, and one patient had irregular follow-up assessments. Twelve patients (12.5%) achieved complete remission after NAC.
The multivariable analysis, which evaluated the use of perioperative chemotherapy, showed that particular variables in the NAC model, including age (P=0.002), the study period analyzed (P=0.019), the institution (P<0.001), and the clinical tumor stage (P=0.007), and that particular variables in the AC model, including age (P<0.001), the institution (P<0.001), the pathologic tumor stage (P<0.001), and the presence of any LN metastases (P<0.001), were significantly associated with the use of perioperative chemotherapy (Tables 2 and 3). However, sex (P=0.064), the study period analyzed (P=0.853), and the type of urinary diversion (P=0.089) used were not significantly associated with the use of AC after RC (Table 3).

DISCUSSION

This study identified for the first time since the SWOG-8710 trial results, which were published in 2003, important trends in the use of perioperative chemotherapy, including NAC and in the use of AC after RC, in patients with MIBC in Korea. NAC use has slowly and significantly increased from 4.6% between 2003 and 2005 to 8.4% between 2010 and 2013 (P=0.019), whereas AC use has not changed significantly, despite a decrease from 20.8% to 16.0% (P=0.853).
This study is of further clinical significance because it is the first to demonstrate pathologic complete remission to NAC treatment in Korean MIBC patients after RC. However, some reports have suggested that the complete remission response achieved after NAC treatment might be affected by the quality of the TURB before and, particularly, after NAC (717). Herr examined a population of patients with MIBC who received NAC and subsequently declined RC, and found that the completeness of the endoscopic resection was a factor that contributed to improve survival, which suggested a role for aggressive endoscopic resection (7). As this study had not fully evaluated the surgical complete remission rate among the cases with pathologic complete remission of NAC at RC specimens, it would be necessary in the future study to compare the complete remission rate affected by between TURB or NAC with a repeated TURB before RC.
While none of the previously published reports have addressed the use of NAC in patients with MIBC in Korea, investigators from four tertiary Korean hospitals have described clinical outcomes in relation to the use of AC after RC in patients with MIBC (18192021). Kwon et al. showed that of 338 cases who underwent RC, 153 (45.3%) patients with clinical stage ≥T3 BC received AC between 1990 and 2012, and that combined therapy with gemcitabine and cisplatin was used more frequently than combinations of methotrexate (M), vinblastine (V), Adriamycin® (A), and cisplatin (C) (MVAC) (20). Other Korean tertiary institutions have shown rates of AC use after RC of 55%-60% between 2001 and 2011, and that combinations of gemcitabine and cisplatin are mainly used because of their favorable safety and tolerability profiles in patients with clinical stage ≥T3 BC (181921). These rates of AC use are much higher than the rate of AC use in the current study (18.1%) and the rates of AC use reported from studies in countries other than Korea (20%-38%). These differences in the AC usage rates relate to the different stages of the disease that were present when the patients were enrolled to participate in the studies, because the patients in the previously reported studies included those with clinical stage >T3 BC. Therefore, no definitive reports have been published to date that have assessed perioperative chemotherapy in MIBC patients with clinical stage >T2 BC in Korea.
Since the investigators involved in the SWOG-8710 trial published their favorable results for NAC, the use of NAC has been described (67). Compared with papers published since 2003 that describe rates of NAC use of between 12% and 20% in countries other than Korea, the rate of NAC use in this study (7.3%) was much lower. This underutilization of NAC can be explained in the context of the Korean medical system. Firstly, the policy associated with the national health insurance system in Korea has not supported the use of NAC in MIBC patients. This policy could be the most important reason underlying the reluctance of clinicians to use NAC in MIBC patients before RC. However, the national health insurance system covers AC use and clinicians should use AC after RC. Secondly, given that the observed complete response rate following NAC in this study was 12.5% after RC in MIBC patients, the complete response rate reported from the SWOG trial that reached 38% could be considered to be overestimated (7). Hence, uro-oncologists, particularly those in Korea, should expect more realistic and much lower efficacies with NAC in routine clinical practice. However, the discrepancies between the complete response rates might be explained by differences in the studies' inclusion criteria and the different chemotherapeutic regimens. Other randomized controlled trials have reported NAC response rates of between 20% and 30%, which are lower than the response rate reported from the SWOG trial (10). The low NAC response rate in the current study may be explained by differences between this study and the randomized controlled trials in relation to the enrolled patients' disease statuses and the response rates associated with more advanced disease. Thirdly, the relatively slow adoption of NAC use might be associated with the chemotherapeutic regimen used and its related toxicities. In this study, the most frequently used NAC regimen was a combination of gemcitabine and cisplatin (48.0%), which has a more favorable toxicity profile than the MVAC treatment regimen used in the SWOG trial (7). The second most commonly used NAC regimen was gemcitabine and carboplatin (20.8%). This substitution indicated that a considerable portion of the patients in this study already had problems in relation to renal function (data not shown).
The multivariable logistic regression analysis identified significant associations between the use of NAC and age (P=0.002), the study period analyzed (P=0.019), the institution (P<0.001), and the clinical tumor stage (P=0.007), Patients aged <60 yr received NAC significantly more frequently than patients aged ≥60 yr (hazard ratio [HR], 2.81; 95% confidence Interval [CI], 1.56-5.06; P=0.016). Furthermore, patients who were treated between 2003 and 2005 (HR, 0.38; 95% CI, 0.19-0.75; P=0.008) and those with clinical stage T2 BC (HR, 0.54; 95% CI, 0.34-0.85; P=0.007) were less likely to receive NAC.
Similarly, patients aged <50 yr (HR, 3.858; 95% CI, 2.087-7.130; P=0.017) and who were managed at the National Cancer Center Hospital (HR, 7.594; 95% CI, 2.669-21.610; P<0.001), had pathologic stage≥T3 BC (HR, 5.857; 95% CI, 3.887-8.824; P<0.001), and who were LN positive (HR, 4.17; 95% CI 2.953-5.888; P<0.001) were more likely to receive AC after RC than patients who were aged>60 yr, were managed at the Samsung Medical Center or Asan Medical Center hospitals, had pathologic stage ≤T2 BC, and were LN negative (P<0.05). However, sex and the type of urinary diversion used did not significantly affect the use of AC after RC.
This study has some important limitations, which include its retrospective nature, the small number of patients that did not adequately represent all Korean BC patients, the lack of randomization, the lack of standardization of NAC and AC administration across the participating centers, the variability in the indications for NAC and AC, the different rates of NAC use among the hospitals, and the selection bias associated with the choice of chemotherapy regimen. Moreover, centralized radiologic evaluations and pathologic assessments were lacking, which represented additional potentially confounding factors. Furthermore, we did not assess the chemotherapeutic dose densities, dose adjustments, or drug-related toxicities. In addition, using the pathologic response as a primary end point meant that those patients who received NAC but did not undergo cystectomies because of disease progression or changes in their performance statuses, were not assessed in relation to their outcomes. Furthermore, data relating to some risk factors that were associated with the patients' baseline characteristics, including performance statuses, renal function, and laboratory data, were not collected. Despite these limitations, this study is the largest and the first to assess perioperative chemotherapy use in patients with MIBC and their pathologic responses to NAC, and it is representative of routine clinical experiences in Korea as opposed to the controlled environment that exists within clinical trials.
We have demonstrated some of the trends in perioperative chemotherapy use in Korean patients with MIBC for the first time since 2003, and we have shown that NAC remains underutilized despite a slow but significant increase in its use. Those patients who were aged>60 yr, were treated between 2003 and 2009, and had BC at lower clinical stages, were less likely to be administered NAC. Further studies that analyze the different results generated by NAC and AC are recommended.

Figures and Tables

Fig. 1

Changes in neoadjuvant chemotherapy and adjuvant chemotherapy in patients with muscle invasive bladder cancer between 2003 and 2013.

jkms-30-1150-g001
Table 1

Analysis of patient characteristics

jkms-30-1150-i001
Characteristics All patients, n (%) RC only, n (%) NAC and RC, n (%) P value* RC and AC, n (%) P value
No. subjects 1,324 (100) 1,014 (76.59) 96 (7.25) 239 (18.05)
Age 0.043 0.110
 -49 116 (8.76) 81 (69.83) 11 (9.48) 26 (22.41)
 50-59 269 (20.32) 195 (72.49) 29 (10.78) 55 (20.45)
 60-69 491 (37.08) 374 (76.17) 29 (5.91) 92 (18.74)
 70- 448 (33.84) 364 (81.25) 27 (6.03) 66 (14.73)
Gender 0.146 0.530
 Male 1141 (86.18) 874 (76.6) 78 (6.84) 209 (18.32)
 Female 183 (13.82) 140 (76.5) 18 (9.84) 30 (16.39)
Study period 0.131 0.195
 2003-2005 264 (19.94) 199 (75.38) 12 (4.55) 55 (20.83)
 2006-2009 491 (37.08) 377 (76.78) 36 (7.33) 93 (18.94)
 2010-2013 569 (42.98) 438 (76.98) 48 (8.44) 91 (15.99)
Name of hospital < 0.001 < 0.001
 NCC 101 (7.63) 41 (40.59) 23 (22.77) 53 (52.48)
 SMC 386 (29.15) 346 (89.64) 9 (2.33) 32 (8.29)
 AMC 492 (37.16) 384 (78.05) 30 (6.1) 81 (16.46)
 SNUH 295 (22.28) 204 (69.15) 29 (9.83) 67 (22.71)
 KUMC 50 (3.78) 39 (78) 5 (10) 6 (12)
Clinical stage 0.476 0.013
 ≤cT2 722 (54.53) 575 (79.64) 49 (6.79) 113 (15.65)
 ≥cT3 602 (45.47) 439 (72.92) 47 (7.81) 126 (20.93)
Pathologic stage 0.779 < 0.001
 ≤pT2 630 (47.58) 550 (87.3) 47 (7.46) 38 (6.03)
 ≥pT3 694 (52.42) 464 (66.86) 49 (7.06) 201 (28.96)
pNstage§ 0.005 < 0.001
 Node positive 376 (29.40) 211 (56.12) 39 (10.37) 141 (37.5)
 Node negative 917 (69.26) 777 (84.73) 54 (5.89) 95 (10.36)
Type of urinary diversion 0.967 0.192
 Ileal conduit 800 (60.42) 615 (76.88) 59 (7.38) 143 (17.88)
 Orthotopic neobladder 510 (38.52) 386 (75.69) 36 (7.06) 96 (18.82)
 Others 14 (1.06) 13 (92.86) 1 (7.14) 0 (0.00)

*P value of Chi-square test for NAC and RC group; P value of Chi-square test for RC and AC group; Fisher's exact test; §Missing 31 (pNstage=Nx). NCC, National Cancer Center; SNUH, Seoul National University Hospital; SMC, Samsung Medical Center; AMC, Asan Medical Center; KUMC, Korean University Medical Center.

Table 2

Univariable analysis of covariates associated with delivery of perioperative chemotherapy

jkms-30-1150-i002
Characteristics Neoadjuvant chemotherapy Adjuvant chemotherapy*
Proportion NC Univariate analysis Proportion AC Univariate analysis
OR (95% CI) P value OR (95% CI) P value
No. of subjects (%) 96 (7.25) 236 (18.25)
Age 0.002 < 0.001
 -50 11 (9.5) 2.84 (1.262, 6.394) 0.104 26 (22.4) 3.311 (1.75, 6.266) 0.019
 50-59 29 (10.8) 2.977 (1.6, 5.536) 0.012 55 (20.5) 2.335 (1.407, 3.877) 0.374
 60-69 29 (5.9) 1.357 (0.756, 2.435) 0.098 92 (18.7) 2.168 (1.402, 3.355) 0.609
70- 27 (6.0) 66 (14.7)
Gender 0.337 0.056
 Male 78 (6.84) 0.75 (0.417, 1.35) 0.337 209 (18.3) 1.654 (0.985, 2.777) 0.056
Female 18 (9.84) 30 (16.4)
Study period 0.024 0.853
 2003-2005 12 (4.6) 0.39 (0.198, 0.767) 0.011 55 (20.8) 1.082 (0.683, 1.713) 0.905
 2006-2009 36 (7.3) 0.809 (0.505, 1.297) 0.296 93 (18.9) 1.112 (0.762, 1.621) 0.709
2010-2013 48 (8.4) 91 (16.0)
Name of hospital < 0.001 < 0.001
 NCC 23 (22.8) 4.354 (1.471, 12.887) < 0.001 53 (52.5) 7.616 (2.656, 21.838) < 0.001
 SMC 9 (2.3) 0.18 (0.057, 0.572) < 0.001 32 (8.3) 0.278 (0.1, 0.77) < 0.001
 AMC 30 (6.1) 0.657 (0.234, 1.847) 0.141 81 (16.5) 0.815 (0.303, 2.197) 0.021
 SNUH 29 (9.8) 1.172 (0.422, 3.257) 0.213 67 (22.7) 1.557 (0.58, 4.178) 0.159
KUMC 5 (10) 6 (12)
Clinical stage 0.012 0.181
 ≤cT2 49 (6.8) 113 (15.7)
 ≥cT3 47 (7.8) 1.810 (1.141, 2.872) 0.012 126 (20.9) 1.289 (0.889, 1.869) 0.181
Pathologic stage < 0.001
pT2 38 (6.0)
 ≥pT3 201 (29.0) 5.650 (3.679, 8.678) < 0.001
pNstage < 0.001
 Node positive 141 (37.5) 4.299 (3.028, 6.102) < 0.001
Node negative 95 (10.4)
Type of urinary diversion 0.726 0.085
 Ileal conduit & others 60 (14.5) 1.098 (0.65, 1.856) 0.726 143 (17.9) 0.704 (0.472, 1.05) 0.085
Orthotopic neobladder 36 (7.1) 96 (18.8)

*Missing 31 (pNstage=Nx); Bold font, rereference variable. NCC, National Cancer Center; SNUH, Seoul National University Hospital; SMC, Samsung Medical Center; AMC, Asan Medical Center; KUMC, Korean University Medical Center.

Table 3

Mutivariable analysis of covariates associated with delivery of perioperative chemotherapy (Backward selection at alpha = 0.10)

jkms-30-1150-i003
Neoadjuvant chemotherapy Adjuvant chemotherapy*
Characteristics Multivariate analysis Characteristics Multivariate analysis
OR (95% CI) P value OR (95% CI) P value
No. of subject (%) 96 (7.25) 236 (18.25)
Age 0.002 Age < 0.001
 -50 2.702 (1.235, 5.913) 0.114  -50 3.858 (2.087, 7.13) 0.017
 50-59 2.81 (1.559, 5.064) 0.016  50-59 2.648 (1.624, 4.318) 0.362
 60-69 1.321 (0.746, 2.337) 0.105  60-69 2.361 (1.542, 3.615) 0.626
70- 70-
Study period 0.019 Gender 0.064
 2003-2005 0.381 (0.194, 0.748) 0.008  Male 1.734 (1.041, 2.889) 0.064
 2006-2009 0.807 (0.504, 1.292) 0.281 Female
2010-2013
Hospitals < 0.001 Hospitals < 0.001
 NCC 4.446 (1.506, 13.12) < 0.001  NCC 7.594 (2.669, 21.61) < 0.001
 SMC 0.18 (0.057, 0.57) < 0.001  SMC 0.295 (0.106, 0.82) < 0.001
 AMC 0.629 (0.229, 1.732) 0.083  AMC 1 (0.377, 2.649) 0.038
 SNUH 1.161 (0.419, 3.217) 0.217  SNUH 1.712 (0.64, 4.581) 0.17
 KUMC  KUMC
Clinical stage 0.007 Pathologic stage < 0.001
≤ cT2 ≤ pT2
 ≥ cT3 1.865 (1.182, 2.943) 0.007  ≥ pT3 5.857 (3.887, 8.824) < 0.001
pNstage < 0.001
 Node positive 4.17 (2.953, 5.888) < 0.001
Node negative
Type of urinary diversion 0.089
 Ileal conduit 0.709 (0.476, 1.055) 0.089
 Orthotopic neobladder

*Missing 31 (pNstage=Nx); rereference variable. NCC, National Cancer Center; SNUH, Seoul National University Hospital; SMC, Samsung Medical Center; AMC, Asan Medical Center; KUMC, Korean University Medical Center.

ACKNOWLEDGMENTS

We thank all of the researchers in the UCART (urothelial cancer-advanced research and treatment) group, who gathered the data from the five Korean academic institutions, including those from the National Cancer Center, Seoul National University Hospital; Samsung Medical Center, Asan Medical Center, and the Korean University Medical Center.

Notes

This research was supported in part by the Korean Urologic Oncology Society Grant 14-04.

DISCLOSURE The authors have no conflicts of interest to disclose.

AUTHOR CONTRIBUTION Manuscript conception and preparation: Ku JH, Kim HS, Jeon HK, Jung BC, Jeong IG, Kang SH, Hong B. Data collection and analysis: Chang SJ, Shin HC, Kim SH, Seo HK. Internal review for draft: Kim SH, Seo HK. Manuscript approval: All authors.

References

1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010; 127:2893–2917.
2. Chavan S, Bray F, Lortet-Tieulent J, Goodman M, Jemal A. International variations in bladder cancer incidence and mortality. Eur Urol. 2014; 66:59–73.
3. Babjuk M, Oosterlinck W, Sylvester R, Kaasinen E, Böhle A, Palou-Redorta J, Rouprêt M. European Association of Urology (EAU). EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder, the 2011 update. Eur Urol. 2011; 59:997–1008.
4. Stenzl A, Cowan NC, De Santis M, Kuczyk MA, Merseburger AS, Ribal MJ, Sherif A, Witjes JA. European Association of Urology (EAU). Treatment of muscle-invasive and metastatic bladder cancer: update of the EAU guidelines. Eur Urol. 2011; 59:1009–1018.
5. Colombel M, Heidenreich A, Martínez-Piñeiro L, Babjuk M, Korneyev I, Surcel C, Yakovlev P, Colombo R, Radziszewski P, Witjes F, et al. Perioperative chemotherapy in muscle-invasive bladder cancer: overview and the unmet clinical need for alternative adjuvant therapy as studied in the MAGNOLIA trial. Eur Urol. 2014; 65:509–511.
6. Leow JJ, Martin-Doyle W, Fay AP, Choueiri TK, Chang SL, Bellmunt J. A systematic review and meta-analysis of adjuvant and neoadjuvant chemotherapy for upper tract urothelial carcinoma. Eur Urol. 2014; 66:529–541.
7. Grossman HB, Natale RB, Tangen CM, Speights VO, Vogelzang NJ, Trump DL, deVere White RW, Sarosdy MF, Wood DP Jr, Raghavan D, et al. Neoadjuvant chemotherapy plus cystectomy compared with cystectomy alone for locally advanced bladder cancer. N Engl J Med. 2003; 349:859–866.
8. Advanced Bladder Cancer Overview Collaboration. Neoadjuvant chemotherapy for invasive bladder cancer. Cochrane Database Syst Rev. 2005; CD005246.
9. Advanced Bladder Cancer Meta-analysis Collaboration. Neoadjuvant chemotherapy in invasive bladder cancer: a systematic review and meta-analysis. Lancet. 2003; 361:1927–1934.
10. Zargar H, Espiritu PN, Fairey AS, Mertens LS, Dinney CP, Mir MC, Krabbe LM, Cookson MS, Jacobsen NE, Gandhi NM, et al. Multicenter assessment of neoadjuvant chemotherapy for muscle-invasive bladder cancer. Eur Urol. 2015; 67:241–249.
11. Johnson DC, Nielsen ME, Matthews J, Woods ME, Wallen EM, Pruthi RS, Milowsky MI, Smith AB. Neoadjuvant chemotherapy for bladder cancer does not increase risk of perioperative morbidity. BJU Int. 2014; 114:221–228.
12. Booth CM, Siemens DR, Li G, Peng Y, Tannock IF, Kong W, Berman DM, Mackillop WJ. Perioperative chemotherapy for muscle-invasive bladder cancer: A population-based outcomes study. Cancer. 2014; 120:1630–1638.
13. Goebell PJ, Otto T, Rübben H. Perioperative chemotherapy in advanced bladder cancer: part I. Neoadjuvant treatment. Onkologie. 2003; 26:361–365.
14. Jung KW, Won YJ, Kong HJ, Oh CM, Lee DH, Lee JS. Prediction of cancer incidence and mortality in Korea, 2014. Cancer Res Treat. 2014; 46:124–130.
15. Montironi R, Lopez-Beltran A. The 2004 WHO classification of bladder tumors: a summary and commentary. Int J Surg Pathol. 2005; 13:143–153.
16. Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010; 17:1471–1474.
17. Lavery HJ, Stensland KD, Niegisch G, Albers P, Droller MJ. Pathological T0 following radical cystectomy with or without neoadjuvant chemotherapy: a useful surrogate. J Urol. 2014; 191:898–906.
18. Park J, Park S, Song C, Doo C, Cho YM, Ahn H, Kim CS. Effectiveness of adjuvant chemotherapy in transitional cell carcinoma of the urinary bladder with lymph node involvement and/or lymphovascular invasion treated by radical cystectomy. Urology. 2007; 70:257–262.
19. Cheon J, Chung H, Song J. Efficacy of bladder-preserving therapy for patients with t3b, t4a, and t4b transitional cell carcinoma of the bladder. Korean J Urol. 2010; 51:525–530.
20. Kwon T, Jeong IG, Lee J, Lee C, You D, Hong B, Hong JH, Ahn H, Kim CS. Adjuvant chemotherapy after radical cystectomy for bladder cancer: a comparative study using inverse-probability-of-treatment weighting. J Cancer Res Clin Oncol. 2015; 141:169–176.
21. Sung JY, Sun JM, Jeong BC, Seo SI, Jeon SS, Lee HM, Choi HY, Kang SY, Choi YL, Kwon GY. FGFR3 overexpression is prognostic of adverse outcome for muscle-invasive bladder carcinoma treated with adjuvant chemotherapy. Urol Oncol. 2014; 32:49.e23–49.e31.
TOOLS
ORCID iDs

Sung Han Kim
https://orcid.org/http://orcid.org/0000-0002-1689-5203

Ho Kyung Seo
https://orcid.org/http://orcid.org/0000-0003-2601-1093

Hee Chul Shin
https://orcid.org/http://orcid.org/0000-0003-3144-1944

Sung Ja Chang
https://orcid.org/http://orcid.org/0000-0002-2245-5159

Sooin Yun
https://orcid.org/http://orcid.org/0000-0003-2691-7776

Jungnam Joo
https://orcid.org/http://orcid.org/0000-0001-6961-8122

Ja Hyeon Ku
https://orcid.org/http://orcid.org/0000-0002-0391-2342

Hyung Suk Kim
https://orcid.org/http://orcid.org/0000-0002-3661-275X

Hwang Gyun Jeon
https://orcid.org/http://orcid.org/0000-0002-5613-8389

Byong Chang Jeong
https://orcid.org/http://orcid.org/0000-0002-5399-2184

In Gab Jeong
https://orcid.org/http://orcid.org/0000-0003-4093-832X

Seok Ho Kang
https://orcid.org/http://orcid.org/0000-0002-1524-5233

Bumsik Hong
https://orcid.org/http://orcid.org/0000-0003-1991-1229

Similar articles