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Frontiers in Oncology logoLink to Frontiers in Oncology
. 2022 Jan 13;11:766576. doi: 10.3389/fonc.2021.766576

Factors Predicting Oncological Outcomes of Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma in Taiwan

I-Hsuan Alan Chen 1,2,3, Chao-Hsiang Chang 4,5, Chi-Ping Huang 4,5, Wen-Jeng Wu 6,7,8, Ching-Chia Li 6,7,8, Chung-Hsin Chen 9, Chao-Yuan Huang 9, Chi-Wen Lo 10, Chih-Chin Yu 10,11, Chung-You Tsai 12,13, Wei-Che Wu 12,14, Jen-Shu Tseng 15,16, Wun-Rong Lin 15,16, Yuan-Hong Jiang 17, Yu-Khun Lee 17, Yeong-Chin Jou 18,19, Ian-Seng Cheong 18, Thomas Y Hsueh 20,21, Allen W Chiu 22, Yung-Tai Chen 23, Jih-Sheng Chen 23, Bing-Juin Chiang 24,25,26, Yao-Chou Tsai 27,28, Wei Yu Lin 29,30,31, Chia-Chang Wu 27,32,33, Jen-Tai Lin 1,*,, Chia-Cheng Yu 1,*,
PMCID: PMC8793058  PMID: 35096575

Abstract

Background

Taiwan is one of the endemic regions where upper tract urothelial carcinoma (UTUC) accounts for approximately a third of all urothelial tumors. Owing to its high prevalence, extensive experience has been accumulated in minimally invasive radical nephroureterectomy (RNU). Although a variety of predictive factors have been explored in numerous studies, most of them were on a single-center or limited institutional basis and data from a domestic cohort are lacking.

Objective

This study aims to identify significant predicting factors of oncological outcomes, including overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), and intravesical recurrence-free survival (IVRFS), following RNU for UTUC in Taiwan.

Methods

A multicenter registry database, Taiwan UTUC Collaboration Group, was utilized to analyze oncological outcomes of 3,333 patients undergoing RNU from 1988 to 2021 among various hospitals in Taiwan. Clinicopathological parameters were recorded according to the principles established by consensus meetings. The Kaplan-Meier estimator was utilized to estimate the survival rates, and the curves were compared using the stratified log-rank test. Univariate and multivariate analyses were performed with the Cox proportional hazard model to explore potential predicting factors.

Results

With a median follow-up of 41.8 months in 1,808 patients with complete information, the 5-year IVRFS, DFS, CSS, and OS probabilities were 66%, 72%, 81%, and 70%, respectively. In total, 482 patients experienced intravesical recurrence, 307 died of UTUC, and 583 died of any cause. Gender predominance was female (57%). A total of 1,531 patients (84.7%) had high-grade tumors; preoperative hydronephrosis presented in 1,094 patients (60.5%). Synchronous bladder UC was identified in 292 patients (16.2%). Minimally invasive procedures accounted for 78.8% of all surgeries, including 768 hand-assisted laparoscopic (42.5%) and 494 laparoscopic (27.3%) approaches. Synchronous bladder UC was the dominant adverse predicting factor for all survival outcomes. Other independent predicting factors for OS, CSS, and DFS included age ≧70, presence of preoperative hydronephrosis, positive surgical margin, LVI, pathological T and N staging, and laparoscopic RNU.

Conclusion

Synchronous UC of the urinary bladder is an independent adverse prognostic factor for survival in UTUC. The presence of preoperative hydronephrosis was also corroborated as a disadvantageous prognostic factor. Our multivariate analysis suggested that laparoscopic RNU might provide better oncological control.

Keywords: kidney pelvis, nephroureterectomy, risk factors, survival, ureter, urinary bladder, urinary tract, urothelial carcinoma

Introduction

Upper tract urothelial carcinoma (UTUC) comprises approximately 5% to 10% of all urothelial cancer (1). Taiwan is one of the endemic regions where UTUC accounts for 30% of all urothelial tumors (2). With the estimated annual incidence of up to 2 new cases per 100,000 person-years in the Western countries, the Taiwan Cancer Registry Annual Report depicted the age-standardized incidence rate of UTUC was 3.71 in men and 3.99 in women per 100,000 population in 2018. Radical nephroureterectomy (RNU) is the standard primary treatment for localized or even locally advanced UTUC. Owing to its high prevalence in Taiwan, apart from conventional open RNU, extensive experience was obtained in minimally invasive surgical approaches for managing UTUC.

On account of its relatively low incidence across the world, focused collaborative efforts are required to better understand the behavior of UTUC. Globally, a number of multi-institutional database have contributed to the prediction of prognosis and therapeutic responses following RNU (3), but the sample size was limited and interethnic variations and regional differences might exist in these cohorts. In order to obtain comprehensive information about the prognosis locally, a multicenter registry database, the Taiwan UTUC Collaboration Group, was established to record clinical data and treatment outcomes of patients who underwent RNU from 1988 to 2021 among various hospitals in Taiwan. In contrast with the National Health Insurance Research Database (NHIRD) of Taiwan, our dataset could provide detailed clinical information and mitigate the effects of unmeasured confounders. Additionally, diagnosis validity would be confirmed after serial consensus meetings. Robust results might be expected through collaborative work among medical centers and regional hospitals.

A variety of predictive factors have been explored in numerous studies, including patient, tumor, and pathological factors, to forecast outcomes of patients with UTUC (4). Gender (5), preoperative blood-based biomarkers (6, 7), tumor stage (8), and location (9) had been identified as pivotal predictive factors for UTUC following RNU in a Taiwanese population. Nevertheless, most results were derived from single-center or limited institutional studies, and data from a domestic cohort are lacking. The aim of our study is to identify predicting factors of long-term oncological outcomes following radical nephroureterectomy in the largest multicenter Taiwanese database.

Materials and Methods

Database Introduction

Ethics approvals were granted by the Internal Review Board of 15 participating hospitals, and data sharing agreements were required before commencing the multicenter cancer registry. In order to achieve consistent and accurate data registration, consensus meetings were undertaken to avoid any discrepancies. All patients in the database, Taiwan UTUC Collaboration Group, were waived from informed consent, and de-identified for privacy protection.

Data Extraction

A total of 3,333 patients with UTUC from August 1988 to April 2021 inclusive were enrolled. Those undergoing RNU and bladder cuff excision were included in the current study. A variety of surgical approaches, including open and minimally invasive techniques, either transperitoneal or retroperitoneal, were presented. The exclusion criteria entailed 448 patients receiving kidney-sparing treatment and 1,077 patients who lack complete information, including basic characteristics, perioperative parameters, pathological results, and follow-up outcomes. On account of the retrospective nature of our large multicenter database, missing data could be expected, which was also inevitable in prospective multicenter studies. In order to maintain the robustness and completeness of our results, stringent exclusion criteria were applied. Incomplete data were prevented, and no imputation was undertaken for statistical analysis ( Figure 1 ). No missing data was managed in all the data extracted. Patient demographics were recorded and postoperative complications were reported and graded using the Clavien-Dindo classification.

Figure 1.

Figure 1

Study flowchart.

Tumor location and size were defined by evaluation of the specimen following RNU. Synchronous presence of two or more pathologically confirmed lesions at different sites (renal pelvicalyceal system or ureter) was designated as multifocality. Tumor size was calculated by summing the longest diameters of all tumors. Preoperative hydronephrosis was assessed utilizing the computed tomography (CT) or magnetic resonance imaging (MRI). Various cell types, carcinoma in situ, lymphovascular invasion (LVI), tumor necrosis, and surgical margins were reviewed by the urological pathologists. Histological grading was determined according to the 2004 World Health Organization grading system. Pathological staging was referenced according to the 2017 TNM staging system of the American Joint Committee on Cancer (AJCC). In addition, the presence and chronology of bladder UC were recorded.

Survival Assessment

The primary endpoint of the study was to identify significant predicting factors of oncological outcomes, including overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), and intravesical recurrence-free survival (IVRFS). The patients who died within 30 days after RNU or within the same hospital stay were censored at the time of mortality in the analysis of CSS. DFS was defined as time from RNU to either first local recurrence in the tumor bed, first lymph node or distant metastasis, or death from any cause. Recurrence and metastasis were assessed either radiologically or pathologically. Intravesical recurrence was coded with the presence of any subsequent histologically proven bladder UC during cystoscopy. All survival outcomes were evaluated with multivariate Cox proportional hazard models.

Statistical Analysis

Continuous variables were tested for normality using Kolmogorov-Smirnov test. Continuous data were stratified into categories, and categorical data were reported as number and percentage of all patients. The Kaplan-Meier estimator was utilized to estimate the rates of prognostic outcomes, and the survival curves were compared using the stratified log-rank test. The Cox proportional hazard model was selected to assess the effect of clinicopathological parameters on the prognostic outcomes, alone and after adjusting for potential confounders. All statistical assessments were two-tailed and considered statistically significant as p < 0.05. Statistical analyses were carried out with IBM SPSS statistical software version 26.

Results

Patient, Tumors, and Surgical Approaches

The median follow-up for 1,808 patients undertaking RNU was 41.8 months; 482 (26.7%) patients experienced intravesical recurrence, 448 (24.8%) encountered disease recurrence outside of the bladder, 307 (17%) died of UTUC, and 583 (32.2%) died of any cause. The 5-year IVRFS, DFS, CSS, and OS probabilities were 66%, 72%, 81%, and 70%; the 10-year survival rates were 58%, 66%, 77%, and 51%, respectively. Patient demographics and pathological characteristics are shown in Table 1 . The median age of diagnosis was 69 years, and 898 were equal to or more than 70 years old (49.7%). Gender predominance was female (57%); the most common sites of UTUC were renal pelvis (68%) and proximal ureter (22.7%). High-grade UTUC was diagnosed in 1,531 patients (84.7%); preoperative hydronephrosis presented in 1,094 patients (60.5%). Synchronous bladder UC was identified in 292 patients (16.2%). With regard to stage distribution, stage III predominated (29.4%) followed by stage I (24.9%) and stage II (18.6%). Interestingly, minimally invasive procedures accounted for 78.8% of all RNU surgeries, including 768 hand-assisted laparoscopic (42.5%), 494 laparoscopic (27.3%), 158 robot-assisted (8.7%), and 6 laparoendoscopic single site (LESS) (0.3%) approaches. The surgical margin was free in 1,732 patients (95.8%) but involved in 76 (4.2%) patients.

Table 1.

Baseline demographics and clinicopathological characteristics.

Parameters N (%)
Gender
 Men 777 (43.0)
 Women 1,031 (57.0)
Age
 <70 910 (50.3)
 ≥70 898 (49.7)
Tumor location
 Renal pelvis 1,229 (68.0)
 Proximal ureter 410 (22.7)
 Middle ureter 252 (13.9)
 Distal ureter 360 (19.9)
 Bladder cuff 49 (2.7)
Tumor size
 Nonvisible 34 (1.9)
 <1 cm 128 (7.1)
 ≥1 and <2 cm 356 (19.7)
 ≥2 and <3 cm 396 (21.9)
 ≥3 cm 894 (49.4)
Multifocality
 No 1182 (65.4)
 Yes 626 (34.6)
Cell type
 Urothelial carcinoma (UC) 1,633 (90.3)
 UC with variants 128 (7.1)
 Squamous 1 (0.1)
 Small cell 2 (0.1)
 Others 44 (2.4)
Carcinoma in situ (CIS)
 No 1,497 (82.8)
 Yes 311 (17.2)
Bladder UC
 No 1,392 (77.0)
 Previous 124 (6.9)
 Synchronous 292 (16.2)
Tumor grading
 Low grade 277 (15.3)
 High grade 1,531 (84.7)
Lymphovascular invasion
 No 1,391 (76.9)
 Yes 417 (23.1)
Surgical margin
 Free 1,732 (95.8)
 Positive 76 (4.2)
Preoperative hydronephrosis
 No 714 (39.5)
 Yes 1,094 (60.5)
Tumor necrosis
 No 1,522 (84.2)
 Yes 286 (15.8)
Pathological stage
 0a/0is 334 (18.5)
 I 450 (24.9)
 II 337 (18.6)
 III 531 (29.4)
 IV 156 (8.6)
Pathological T stage
 pTis 26 (1.4)
 pTa 308 (17.0)
 pT1 453 (25.1)
 pT2 346 (19.1)
 pT3 590 (32.6)
 pT4 85 (4.7)
Pathological N stage
 pN0 408 (22.6)
 pN1 33 (1.8)
 pN2 56 (3.1)
 pNx 1,311 (72.5)
RNU techniques
 Open 382 (21.1)
 Laparoscopic hand-assisted 768 (42.5)
 Robot-assisted 158 (8.7)
 Laparoscopic 494 (27.3)
 LESS 6 (0.3)
RNU approaches
 Transperitoneal 951 (52.6)
 Retroperitoneal 857 (47.4)
Clavien-Dindo classification
 No 1,093 (60.5)
 Grade I 236 (13.1)
 Grade II 365 (20.2)
 Grade III 50 (2.8)
 Grade IV 45 (2.5)
 Grade V 19 (1.1)
Postoperative complication
 No 1528 (84.5)
 Yes 280 (15.5)
 ESRD 218 (12.1)
 Ileus 45 (2.5)
 Ventral hernia 33 (1.8)
Bladder UC following RNU
 No 1,326 (73.3)
 Yes 482 (26.7)
Disease free
 No 1,360 (75.2)
 Yes 448 (24.8)
UTUC-specific mortality
 No 1,501 (83.0)
 Yes 307 (17.0)
Overall mortality
 No 1,225 (67.8)
 Yes 583 (32.2)

RNU, radical nephroureterectomy; UTUC, upper tract urothelial carcinoma.

Identification of Predicting Factors for OS

In the univariate analysis of OS, the predictors demonstrating a p-value of <0.05 were taken into account in the subsequent multivariate analysis in which age, tumor size, preoperative hydronephrosis, distal ureteral or bladder cuff UC, multifocal UCs, previous or synchronous bladder UC, LVI, tumor necrosis, surgical margin, tumor grade, cell type, pathological T and N staging, and surgical approaches of RNU were included. Independent adverse predicting factors for OS were shown as follows: age ≧70, synchronous bladder UC, preoperative hydronephrosis, LVI, positive surgical margin, and pathological stages T2, T3, T4, N1, and N2. Adjusted Kaplan-Meier estimates of OS are demonstrated in Figure 2 . Favorable predicting factors for OS were minimally invasive approaches, including laparoscopic (HR = 0.671), hand-assisted laparoscopic (HR 0.805), and robotic RNU (HR = 0.484).

Figure 2.

Figure 2

Kaplan-Meier curves of overall survival (OS) following adjustment for age, tumor size, preoperative hydronephrosis, distal ureteral or bladder cuff urothelial carcinoma (UC), multifocal UCs, previous or synchronous bladder UC, lymphovascular invasion (LVI), tumor necrosis, surgical margin, tumor grading, cell type, pathological T and N staging, and surgical approaches of radical nephroureterectomy (RNU). Significant predicting factors for OS included: (A) age, (B) chronological history of bladder UC, (C) cell type, (D) T stage, (E) surgical margin, (F) preoperative hydronephrosis, (H) LVI, and (I) RNU techniques. (G) N staging did not demonstrate significant influence on OS because the proportion of lymphadenectomy was limited in the present study.

Identification of Predicting Factors for CSS

By univariate analysis, worse CSS was associated with middle ureteral UC (HR = 1.372, p = 0.032); other statistically significant predictors for CSS included in the ensuing multivariate analysis were identical to those for OS. Independent adverse predicting factors for CSS were identified as follows: age ≧70, synchronous bladder UC, preoperative hydronephrosis, LVI, positive surgical margin, high-grade UC, and pathological stages T2, T3, T4, N1, and N2. Adjusted Kaplan-Meier estimates of CSS are shown in Figure 3 . Merely one favorable predicting factor for CSS was laparoscopic RNU (HR = 0.551).

Figure 3.

Figure 3

Kaplan-Meier curves of cancer-specific survival (CSS) following adjustment for age, tumor size, preoperative hydronephrosis, middle ureteral, distal ureteral or bladder cuff urothelial carcinoma (UC), multifocal UCs, previous or synchronous bladder UC, lymphovascular invasion (LVI), tumor necrosis, surgical margin, tumor grading, cell type, pathological T and N staging, and surgical approaches of radical nephroureterectomy (RNU). Significant predicting factors for CSS included: (A) age, (B) chronological history of bladder UC, (C) tumor grading, (D) T stage, (E) surgical margin, (F) preoperative hydronephrosis, (H) LVI, and (I) RNU techniques. (G) N staging did not demonstrate significant influence on CSS because the proportion of lymphadenectomy was limited in the present study.

Identification of Predicting Factors for DFS

By univariate analysis, except for robotic RNU, all statistically significant predictors for DFS included in the successive multivariate analysis were equivalent to those for OS. Independent adverse predicting factors for DFS were identified as follows: age ≧70, multifocal UC, synchronous bladder UC, preoperative hydronephrosis, LVI, positive surgical margin, high-grade UC, and pathological stages T2, T3, T4, N1, and N2. Adjusted Kaplan-Meier estimates of DFS are displayed in Figure 4 . Only one favorable predicting factor for DFS was laparoscopic RNU (HR = 0.726).

Figure 4.

Figure 4

Kaplan-Meier curves of disease-free survival (DFS) following adjustment for age, tumor size, preoperative hydronephrosis, distal ureteral or bladder cuff urothelial carcinoma (UC), multifocal UCs, previous or synchronous bladder UC, lymphovascular invasion (LVI), tumor necrosis, surgical margin, tumor grading, cell type, pathological T and N staging, and surgical approaches of radical nephroureterectomy (RNU). Significant predicting factors for DFS included: (A) age, (B) chronological history of bladder UC, (C) tumor grading, (D) T stage, (E) surgical margin, (F) preoperative hydronephrosis, (G) multifocality, (H) LVI, and (I) RNU techniques.

Identification of Predicting Factors for IVRFS

In the univariate analysis of IVRFS, statistically significant predictors included gender, preoperative hydronephrosis, middle ureteral, distal ureteral or bladder cuff UC, multifocal UCs, previous or synchronous bladder UC, tumor grade, cell type, and pathological T staging. The following multivariate analysis highlighted that independent adverse predicting factors of BRFS were as below: distal ureteral UC, multifocal UCs, and previous and synchronous bladder UC. Adjusted Kaplan-Meier estimates of IVRFS are illustrated in Figure 5 . Favorable predicting factors for BRFS were female gender (HR = 0.599) and pathological stage T4 (HR = 0.337).

Figure 5.

Figure 5

Kaplan-Meier curves of intravesical recurrence-free survival (IVRFS) following adjustment for gender, preoperative hydronephrosis, middle ureteral, distal ureteral or bladder cuff urothelial carcinoma (UC), multifocal UCs, previous or synchronous bladder UC, tumor grading, cell type, and pathological T staging. Significant predicting factors for IVRFS included: (A) gender, (B) chronological history of bladder UC, (C) multifocality, and (D) tumor position at the distal ureter.

All results of univariate and multivariate Cox regression analyses are depicted in Tables 2 , 3 . Synchronous bladder UC was the dominant adverse predicting factor for all aspects of survival. Other independent predicting factors for OS, CSS, and DFS included age ≧70, presence of preoperative hydronephrosis, positive surgical margin, LVI, pathological T and N staging, and laparoscopic RNU.

Table 2.

Comparative univariate and multivariate Cox regression analyses of overall survival (OS) and cancer-specific survival (CSS) in patients with UTUC.

OS CSS
Univariate Multivariate Univariate Multivariate
HR (95% CI) p HR (95% CI) p HR (95% CI) p HR (95% CI) p
Gender
 Female 0.90 (0.77–1.06) 0.226 0.93 (0.74–1.16) 0.500
Age ≥70 2.13 (1.80–2.51) <0.001** 2.16 (1.81–2.56) <0.001** 1.63 (1.30–2.05) <0.001** 1.59 (1.25–2.01) <0.001**
Carcinoma in situ 1.11 (0.90–1.38) 0.323 0.987 (0.73–1.33) 0.930
Tumor size
Reference: <1 cm
 ≥1 and <2 cm 0.94 (0.65–1.35) 0.726 0.84 (0.57–1.22) 0.358 0.91 (0.50–1.65) 0.750 0.63 (0.34–1.18) 0.148
 ≥2 and <3 cm 1.12 (0.79–1.59) 0.542 0.90 (0.62–1.31) 0.586 1.41 (0.81–2.46) 0.230 0.87 (0.48–1.56) 0.632
 ≥3 cm 1.69 (1.23–2.33) 0.001** 1.05 (0.74–1.50) 0.776 2.67 (1.601–4.45) <0.001** 1.11 (0.64–1.94) 0.707
Tumor location
 Renal pelvis 0.98 (0.82–1.16) 0.808 1.02 (0.80–1.30) 0.865
 Proximal ureter 1.18 (0.98–1.43) 0.077 1.24 (0.96–1.60) 0.099
 Middle ureter 1.16 (0.93–1.45) 0.198 1.37 (1.03–1.83) 0.032* 1.08 (0.79–1.49) 0.626
 Distal ureter 1.27 (1.04–1.54) 0.019* 1.14 (0.93–1.40) 0.219 1.45 (1.12–1.88) 0.005** 1.22 (0.92–1.63) 0.168
 Bladder cuff 2.15 (1.47–3.14) <0.001** 0.87 (0.57–1.32) 0.513 2.65 (1.65–4.27) <0.001** 0.91 (0.53–1.54) 0.718
Multifocality 1.44 (1.22–1.70) <0.001** 1.12 (0.94–1.33) 0.223 1.71 (1.37–2.14) <0.001** 1.15 (0.90–1.48) 0.265
Preoperative hydronephrosis 1.56 (1.31–1.87) <0.001** 1.43 (1.19–1.72) <0.001** 1.70 (1.32–2.17) <0.001** 1.52 (1.16–1.98) 0.002**
Lymphovascular invasion 2.50 (2.10–2.97) <0.001** 1.38 (1.14–1.68) 0.001** 3.49 (2.79, 4.38) <0.001** 1.36 (1.06–1.75) 0.016*
Positive surgical margin 4.35 (3.26–5.79) <0.001** 1.93 (1.38–2.70) <0.001** 6.03 (4.33, 8.41) <0.001** 2.12 (1.42–3.16) <0.001**
Tumor necrosis 1.62 (1.33–1.98) <0.001** 1.10 (0.89–1.36) 0.392 1.92 (1.48, 2.49) <0.001** 1.08 (0.82–1.43) 0.592
Tumor grading
 Low grade 1 1 1 1
 High grade 1.64 (1.29–2.10) <0.001** 1.07 (0.82–1.40) 0.599 3.68 (2.26–6.01) <0.001** 1.68 (1.00–2.81) 0.049*
Cell type
Reference: urothelial carcinoma (UC)
 UC with variants 1.97 (1.55–2.51) <0.001** 1.32 (1.01–1.71) 0.041* 2.60 (1.94–3.49) <0.001** 1.37 (1.00–1.90) 0.054
Bladder UC
 Previous 1.18 (0.85–1.63) 0.314 1.37 (0.98–1.91) 0.065 1.05 (0.66–1.68) 0.842 1.34 (0.83–2.17) 0.238
 Synchronous 1.55 (1.26–1.91) <0.001** 1.50 (1.20–1.87) <0.001** 1.69 (1.28–2.21) <0.001** 1.52 (1.12–2.04) 0.007**
Pathological T stage
Reference: Ta/Tis
 T1 1.16 (0.86–1.58) 0.328 1.16 (0.84–1.61) 0.359 1.35 (0.74–2.49) 0.330 1.20 (0.64–2.28) 0.570
 T2 1.66 (1.23–2.24) 0.001** 1.40 (1.00–1.95) 0.048* 3.07 (1.75–5.40) <0.001** 2.07 (1.12–3.79) 0.019*
 T3 2.89 (2.21, 3.78) <0.001** 2.20 (1.59–3.05) <0.001** 7.94 (4.75–13.27) <0.001** 4.70 (2.62–8.41) <0.001**
 T4 8.59 (6.04–12.22) <0.001** 4.84 (3.15–7.45) <0.001** 23.64 (13.29–42.04) <0.001** 8.77 (4.47–17.20) <0.001**
Pathological N stage
Reference: N0
 N1 3.67 (2.27–5.93) <0.001** 2.54 (1.55–4.17) <0.001** 5.50 (3.27–9.25) <0.001** 3.54 (2.05–6.13) <0.001**
 N2 3.05 (2.03–4.61) <0.001** 1.87 (1.22–2.87) 0.004** 3.99 (2.42–6.57) <0.001** 1.91 (1.13–3.23) 0.016*
 Nx 1.03 (0.83–1.27) 0.804 1.10 (0.88–1.37) 0.391 0.99 (0.74–1.33) 0.942 1.16 (0.86–1.56) 0.344
RNU techniques
Reference: open
 Hand-assisted laparoscopic 0.79 (0.65–0.96) 0.017* 0.81 (0.66–0.99) 0.036* 0.71 (0.54–0.92) 0.009** 0.82 (0.62–1.09) 0.168
 Robot-assisted 0.44 (0.28–0.70) 0.001** 0.48 (0.30–0.77) 0.002** 0.50 (0.29–0.85) 0.010* 0.60 (0.35–1.04) 0.067
 Laparoscopic 0.62 (0.48–0.79) <0.001** 0.67 (0.52–0.87) 0.002** 0.46 (0.33–0.65) <0.001** 0.55 (0.39–0.79) 0.001**
 LESS 0.24 (0.03–1.74) 0.160 0.15 (0.02–1.12) 0.064 0.48 (0.07–3.43) 0.462 0.21 (0.03–1.58) 0.128

* means “p < 0.05”; ** dictates “p < 0.01.

Table 3.

Comparative univariate and multivariate analyses of disease-free survival (DFS) and intravesical recurrence-free survival (IVRFS) in patients with UTUC.

DFS IVRFS
Univariate Multivariate Univariate Multivariate
HR (95% CI) p HR (95% CI) p HR (95% CI) p HR (95% CI) p
Gender
 Female 0.91 (0.76–1.10) 0.314 0.55 (0.46–0.66) <0.001** 0.60 (0.50–0.72) <0.001**
Age ≥70 1.36 (1.13–1.64) 0.001** 1.27 (1.05–1.54) 0.014* 1.04 (0.87–1.24) 0.689
CIS 1.06 (0.83–1.36) 0.645 1.22 (0.97–1.53) 0.092
Tumor size
Reference: <1 cm
 ≥1 and <2 cm 0.94 (0.58–1.53) 0.816 0.74 (0.45–1.21) 0.225 0.95 (0.67–1.34) 0.751
 ≥2 and <3 cm 1.40 (0.89–2.19) 0.145 0.99 (0.62–1.58) 0.956 0.88 (0.62–1.24) 0.452
 ≥3 cm 2.63 (1.75–3.97) <0.001** 1.35 (0.87–2.10) 0.184 0.99 (0.73–1.36) 0.972
Tumor location
 Renal pelvis 1.12 (0.92–1.37) 0.274 0.90 (0.75–1.09) 0.269
 Proximal ureter 1.23 (1.00–1.52) 0.053 1.17 (0.95–1.44) 0.133
 Middle ureter 1.26 (0.98–1.62) 0.071 1.28 (1.00–1.63) 0.046* 1.11 (0.86–1.43) 0.416
 Distal ureter 1.33 (1.07–1.65) 0.011* 1.23 (0.97–1.57) 0.084 1.70 (1.39–2.09) <0.001** 1.49 (1.20– 1.85) <0.001**
 Bladder cuff 2.41 (1.58–3.67) <0.001** 0.78 (0.49–1.25) 0.295 1.63 (1.02–2.61) 0.042* 1.07 (0.65– 1.76) 0.781
Multifocality 1.75 (1.45–2.11) <0.001** 1.27 (1.03–1.55) 0.024* 1.57 (1.31–1.88) <0.001** 1.30 (1.07–1.58) 0.010*
Preoperative hydronephrosis 1.37 (1.13–1.67) 0.002** 1.29 (1.04–1.59) 0.019* 1.29 (1.07–1.55) 0.008** 1.20 (0.99–1.46) 0.062
Lymphovascular invasion 3.26 (2.70–3.94) <0.001** 1.37 (1.10–1.69) 0.004** 1.07 (0.86–1.34) 0.545
Positive surgical margin 4.28 (3.14–5.83) <0.001** 1.84 (1.29–2.64) 0.001** 0.88 (0.50–1.57) 0.668
Tumor necrosis 1.85 (1.48–2.30) <0.001** 1.04 (0.82–1.32) 0.754 0.96 (0.75–1.24) 0.767
Tumor grading
 Low grade
 High grade 3.84 (2.56–5.74) <0.001** 1.93 (1.26–2.94) 0.002** 0.80 (0.64–0.997) 0.047* 0.81 (0.63–1.03) 0.084
Cell type
Reference: urothelial carcinoma (UC)
 UC with variants 2.14 (1.65–2.76) <0.001** 1.24 (0.94–1.64) 0.128 0.65 (0.44–0.95) 0.027* 0.69 (0.47–1.02) 0.065
Bladder UC
 Previous 1.08 (0.74–1.58) 0.684 1.30 (0.88–1.93) 0.183 2.02 (1.50–2.71) <0.001** 1.65 (1.22–2.23) 0.001**
 Synchronous 1.76 (1.41–2.20) <0.001** 1.62 (1.27–2.07) <0.001** 1.68 (1.34–2.10) <0.001** 1.33 (1.04–1.70) 0.022*
Pathological T stage
Reference: Ta/Tis
 T1 1.37 (0.87–2.16) 0.176 1.16 (0.72–1.86) 0.551 1.06 (0.82–1.39) 0.647 1.17 (0.89–1.53) 0.269
 T2 3.06 (2.01–4.67) <0.001** 1.99 (1.27–3.14) 0.003** 1.13 (0.86–1.50) 0.378 1.18 (0.87–1.59) 0.291
 T3 6.32 (4.29–9.30) <0.001** 3.52 (2.27–5.46) <0.001** 1.12 (0.87–1.45) 0.378 1.27 (0.96–1.69) 0.096
 T4 16.77 (10.63– 26.45) <0.001** 6.22 (3.65–10.60) <0.001** 0.28 (0.10–0.77) 0.013* 0.34 (0.12–0.93) 0.035*
Pathological N stage
Reference: N0
 N1 4.85 (3.03–7.76) <0.001** 3.57 (2.19–5.83) <0.001** 1.12 (0.55–2.30) 0.759
 N2 5.17 (3.50–7.65) <0.001** 2.71 (1.79–4.09) <0.001** 0.74 (0.36–1.52) 0.416
 Nx 1.04 (0.82–1.32) 0.759 1.23 (0.96–1.58) 0.110 0.97 (0.78–1.21) 0.802
RNU techniques
Reference: open
 Hand-assisted laparoscopic 0.76 (0.61–0.96) 0.020* 0.98 (0.77–1.25) 0.875 1.15 (0.90–1.48) 0.258
 Robot-assisted 0.80 (0.55–1.17) 0.249 1.01 (0.68–1.50) 0.953 1.11 (0.75–1.64) 0.611
 Laparoscopic 0.59 (0.45–0.78) <0.001** 0.73 (0.55–0.96) 0.027* 1.17 (0.89–1.54) 0.250
 LESS 0.34 (0.05–2.46) 0.286 0.20 (0.03–1.46) 0.111 0.83 (0.21–3.39) 0.800

* means “p < 0.05”; ** dictates “p < 0.01.

Discussion

Despite the high prevalence of UTUC in Taiwan, patient demographics and perioperative data on a domestic basis are lacking. In order to better understand the behavior of UTUC in one of the endemic regions, a multicenter Taiwan UTUC Collaboration Group was established by 15 participating hospitals to collect detailed clinical information. In our large multicenter cohort of 1,808 patients receiving RNU, female predominance was observed, which was corresponding to previous hospital-based results (8, 10) as well as the crude incidence rate from the Taiwan Cancer Registry Annual Report. Different gender distributions were ascertained as compared with the reports from Western (11, 12) and other Asian countries (13, 14). Similar to previous studies (15, 16), no gender difference could be demonstrated in OS or CSS. Nevertheless, Huang et al. (10) highlighted that females had better OS and CSS in nonmuscle invasive UTUC; similarly, better IVRFS was exhibited in our female patients.

Approximately 8% to 13% of patients with UTUC present with synchronous bladder UC (17). In the French national UTUC database, 9.4% of the enrolled 662 patients showed synchronous bladder UC; 16.2% was reported in our study. It is noteworthy that synchronous bladder UC was an independently adverse predicting factor for OS, CSS, DFS, and IVRFS. Likewise, Mullerad et al. (18) maintained that a history of superficial or muscle-invasive bladder cancer was independently associated with CSS and IVRFS. Given that their survival analysis might be skewed by muscle-invasive bladder UC, Pignot et al. (17) focused on the influence of previous or synchronous superficial bladder UC unambiguously. As expected, the history of superficial bladder UC is a well-known predictor of intravesical recurrence (IVR), but they failed to reveal a prognostic effect on survival. Interestingly, as chronology was taken into consideration, the survival differences between previous and synchronous bladder UC were significantly manifested in the current study. Moreover, a previous bladder UC was again proven as a predicting factor for IVR.

In spite of a similar histologic appearance, distinct epidemiologic and clinicopathologic differences have been identified between UTUC and bladder UC (19, 20). Nevertheless, Doeveran et al. (21) conducted a systematic review to underline that UTUC and paired bladder UC (synchronous or metachronous) were likely clonally related. Later, they performed targeted genomic sequencing to support the hypothesis that metachronous bladder UCs following RNU were predominantly clonally derived recurrences (22). Furthermore, Petros et al. (23) indicated that, regardless of chronologic development or anatomic origin, most metachronous tumors maintained molecular subtype membership of the initial tumor. Most relevantly, the whole transcriptome RNA sequencing demonstrated luminal-like gene expression in same-patient samples of UTUC and synchronous bladder UC. When examining gene expression profiles of basal/luminal immunohistochemical markers, Sikic et al. (24) reported the luminal-like (CD20+/CK5−) subtype to be associated with worse cancer-specific survival. Given that most tumor cells of UTUC and paired bladder UC shared identical clonality, either UTUC metastasis to the bladder or bladder cancer metastasis to the upper tract, it is plausible to speculate that intraluminal cancer seeding may be a pivotal mechanism for drop or retrograde metastasis. Certainly, synchronous upper tract and bladder UCs express in a similar fashion and an aggressive clinical behavior of such disease entity may be expected.

Since preoperative hydronephrosis was regarded as a controversial risk factor, Tian et al. (25) conducted a thorough systematic review and meta-analysis to clarify its role in the prognosis of UTUC. They suggested that preoperative hydronephrosis was significantly associated with poor survival. Similarly, the latest two-center Japan study (26) depicted that preoperative hydronephrosis was an independent predictor of shorter recurrent-free survival. To the best of our knowledge, the present study is the largest one investigating the relationship between preoperative hydronephrosis and oncological outcomes. With adjustment of potential confounding factors, it was independently associated with OS, CSS, and DFS. One possible mechanism to shed light on our finding is that the presence of preoperative hydronephrosis may mostly be attributed to luminal obstruction caused by ureteral tumors. In the present study, more than 90% of patients presenting with preoperative hydronephrosis had ureteral tumors. Although the prognostic role of primary tumor location remains contentious, Yu et al. (9) pointed out that ureteral UC was a significantly adverse predicting factor for OS, CSS, DFS, and IVRFS, in comparison with renal pelvic UC. Moreover, a thin-walled structure of the ureter with an extensive anastomosing network of arterial supply and venous and lymphatic drainage may be one of the mechanisms which promote cancer spreading and poorer prognosis. Another explanation is that some renal pelvic tumors may block the ureteropelvic junction and increase intrarenal pressure that impede flow of lymphatics and vasculature, which might induce increased cancer seeding (27).

A systematic review of European Association of Urology (28) suggested that the oncological outcomes of open RNU may be better than those of laparoscopic RNU as bladder cuff was excised laparoscopically and in locally advanced high-risk UTUC. Despite better perioperative outcomes utilizing the laparoscopic approach, its oncological safety continues to be debatable. Even though some propensity-score matching analyses were presented, no consistent conclusion can be drawn (29, 30). In the most recent meta-analysis comparing laparoscopic versus open RNU, Piszczek et al. (3) found comparable oncological outcomes in UTUC patients, even in locally advanced disease. Intriguingly, our multivariate analysis showed better OS, CSS, and DFS for the laparoscopic surgical approach. It partly can be explained by the high incidence of UTUC in Taiwan, which contribute to high surgical volume in Taiwanese regional hospitals and medical centers. Notwithstanding there was no census regarding the number of RNU per year recognized as high surgical volume, regional variations were clearly described in the reviewed literature. In the States, from the National Cancer Database, Sui et al. (31) defined high-volume hospitals as more than 6 RNU performed each year. The results of their multivariate analyses accorded with our assumption, which indicated that performance of RNU at high-volume hospitals was associated with better long-term survival. In Japan, Sugihara et al. (32) depicted less than 20 procedures per year as low-volume institutes. They found that minimally invasive RNU was more likely to be offered at high-volume hospitals. In our series, with a cutoff level of 20 minimally invasive RNU each year, higher hospital volume (≧20) was significantly associated with better OS. All these results corroborate our explanation that surgical volume may be a pivotal predicting factor in survival following RNU.

Of note, a high proportion (72.7%) of minimally invasive approaches was evident in our contemporary cohort. Whereas one theory attributed recurrence to carbon dioxide insufflation and pneumoperitoneum, neither port site metastasis nor peritoneal dissemination was registered in the present study. Another possible mechanism explaining better survival following laparoscopic RNU is delicate manipulation of the upper tract with meticulous prevention of urine spillage. Early ureteral clipping to reduce drop metastasis and prompt urine drainage to avoid cancer seeding are of paramount importance in our surgical training and routine practice of RNU. Additionally, when observing the trend of different RNU approaches within decades, the numbers of minimally invasive RNU have been increasing since 2000. Between 2006 and 2015, the most common approach was hand-assisted laparoscopic RNU in Taiwan. It can be alluded that the hand-assisted laparoscopic procedure might accelerate the transition of open to laparoscopic RNU. Not only could it preserve the conventional open method of bladder cuff excision, but also it assisted in the development of laparoscopic ureteric, perihilar, and perirenal dissection. After such transitional period, the proportion of laparoscopic RNU became the largest between 2016 and 2021. Simultaneously, the number of robotic RNU has been increasing since 2011. Undoubtfully, selection bias favoring the laparoscopic approach was commonly observed in a myriad of studies (28). In our series, with reference to T4 tumors, 36 (9.4%) patients were in the open RNU group and 15 (3.0%) in the laparoscopic group. Regarding T3 tumors, the numbers of patients were similar in both open (126, 33%) and laparoscopic (165, 33.4%) approaches. Undeniably, as UTUC invaded adjacent organs, surgeons still preferred open surgery for T4 tumors. Nevertheless, our registry data revealed that minimally invasive operations were yet undertaken in patients with locally advanced or even nodal diseases. With accumulated surgical experience of RNU, regardless of open or minimally invasive access, Taiwanese urologists became accustomed to various pathological circumstances and delivered better quality of surgical oncology practice, thereby explaining better survival outcomes for the laparoscopic approach.

Several limitations of the present study merit discussion. Firstly, the data were retrospectively recruited and analyzed. On account of multi-institutional collaborations, these operations were performed by various surgeons at each institution and the surgical approach, especially pertaining to the management of the distal ureteral cuff, was decided at individual’s discretion. Nevertheless, potential confounding factors were adjusted by multivariate Cox regression analyses to identify independently significant predictors. Furthermore, the multi-institutional study included a wider range of population groups, increasing the generalizability of the results. Secondly, lymph node yields and precise nodal status were lacking. Given there was no substantial evidence of therapeutic effect and standardized template of regional lymphadenectomy, it was merely provided in UTUC patients with suspiciously nodal disease. Thirdly, centralized pathological and radiological reviews were not conducted. To mitigate the influence of intra- and interobserver variability, we utilized a standardized format that was based on the principles of pathology management for urothelial cancer in the NCCN guidelines and the AJCC TNM staging system, to ensure accordance of interpretation. Additionally, neoadjuvant or adjuvant systemic therapy was not depicted in the present study. The patients receiving systemic therapy accounted for a fairly small portion of our database. Even though these patients were excluded from the present cohort, our outcomes remained unchanged.

Another limitation needs to be addressed: the pathological staging of synchronous bladder UC was not registered in our database. With regard to the bladder disease, complexity would be expected and more sophisticated variables were required, such as tumor location (trigone, ureteral orifices or other parts of the urinary bladder), intravesical chemotherapy or Bacillus Calmette-Guérin induction or maintenance, subsequent treatment modalities (systemic chemotherapy, chemoradiation or radical cystectomy), and recurrent disease status. Owing to limited human resources, after discussion within our consensus conferences, details of synchronous bladder UC were reduced to the presence or not of the disease. Nevertheless, in our experiences, most of them were nonmuscle invasive UC of the urinary bladder, because merely 33 patients in our cohort received systemic chemotherapy for bladder cancer. Only 2 of them underwent neoadjuvant chemotherapy and hence it might be speculated that the number of simultaneous radical cystectomy was extremely low in our database. It is plausible that most patients with synchronous bladder UC were treated by transurethral endoscopic resection.

Undoubtedly, the retrospective nature of the multi-institutional study introduced hospital variations and selection bias. However, a single-institution experience could hardly represent the clinical behavior of UTUC in Taiwan. Notwithstanding the rarity of this disease around the world, the long-term observations from our multicenter effort may contribute to improved prognostic prediction and surgical treatment advances. Following statistical control of confounding factors, several significantly beneficial and adverse predictors were identified. Further prospective well-designed researches are warranted to validate our findings and elucidate the underlying mechanism. In light of the real-world context, we believe this multi-institutional collaboration may be a considerable help in medical progress of treating UTUC.

Conclusion

This multi-institutional collaborative study in Taiwan recognized synchronous UC in the urinary bladder as a harbinger of poor prognosis for patients with UTUC. In addition, the presence of preoperative hydronephrosis was corroborated as an adverse prognostic factor for UTUC. Interestingly, our multivariate analysis suggested laparoscopic RNU might provide better oncological control. Further randomized controlled trials are warranted to validate our finding.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Kaohsiung Veterans General Hospital (IRB No.: VGHKS14-CT3-06). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

C-HCha, C-PH, W-JW, and C-CL contributed to conception and design of the study. C-HChe and C-YH organized the database. CC-L, C-ChiY, and C-YT performed the statistical analysis. I-HC wrote the first draft of the manuscript. W-CW, J-ST, W-RL, Y-HJ, Y-KL, Y-CJ, I-SC, TH, AC, Y-TC, J-SC, B-JC, Y-CT, WL, C-CW, J-TL, and C-CheY wrote sections of the manuscript. All authors contributed to manuscript revision and read and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

All members of the Taiwan Upper Tract Urothelial Carcinoma Collaboration group: AC, B-JC, C-HCha, C-YH, Cheng-Huang Shen, Cheng-Kuang Yang, Cheng-Ling Lee, Chen-Hsun Ho, Che-Wei Chang, C-CW, Chieh-Chun Liao, Chien-Hui Ou, Chih-Chen Hsu, C-ChiY, Chih-Hung Lin, Chih-Ming Lu, Chih-Yin Yeh, C-CL, C-PH, Chi-Rei Yang, C-WL, Chuan-Shu Chen, C-HChe, C-YT, C-YL, Chun-Hou Liao, Chun-Kai Hsu, Fang-Yu Ku, Hann-Chorng Kuo, Han-Yu Weng, Hao-Han Chang, Hong-Chiang Chang, Hsiao-Jen Chung, Hsin-Chih Yeh, Hsu-Che Huang, I-SC, I-HC, Jen-Kai Fang, J-ST, J-TL, Jian-Hua Hong, J-SC, Jungle Chi-Hsiang Wu, Kai-Jie Yu, Keng-Kok Tan, Kuan-Hsun Huang, Kun-Lin Hsieh, Lian-Ching Yu, Lun-Hsiang Yuan, Hao-Lun Luo, Marcelo Chen, Min-Hsin Yang, Pai-Yu Cheng, Po-Hung Lin, Richard Chen-Yu Wu, See-Tong Pang, Shin-Hong Chen, Shin-Mei Wong, Shiu-Dong Chung, Shi-Wei Huang, Shuo-Meng Wang, Shu-Yu Wu, Steven Kuan-Hua Huang, Ta-Yao Tai, TH, Ting-En Tai, Victor Chia-Hsiang Lin, Wei-Chieh Chen, Wei-Ming Li, W-YL, Wen-Hsin Tseng, W-JW, W-RL, Y-CT, Yen-Chuan Ou, Y-CJ, Yeong-Shiau Pu, Yi-Chia Lin, Yi-Hsuan Wu, Yi-Huei Chang, Yi-Sheng Lin, Yi-Sheng Tai, Y-KL, Y-HJ, Yu-Che Hsieh, Yu-Chi Chen, Yu-Ching Wen, Y-TC, Zhe-Rui Yang.

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Associated Data

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Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.


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