Literature DB >> 32529761

Prognostic values of the clinicopathological characteristics and survival outcomes in micropapillary urothelial carcinoma of the bladder: A SEER database analysis.

Di Jin1, Kun Jin1, Shi Qiu1, Xianghong Zhou1, Qiming Yuan1, Lu Yang1, Qiang Wei1.   

Abstract

PURPOSE: To study prognostic values of the clinicopathological characteristics and survival outcomes in micropapillary urothelial carcinoma (MPUC) of the urinary bladder.
METHOD: We used the national Surveillance, Epidemiology, and End Results database (2004-2016) to compare MPUC with transitional cell carcinoma (TCC) and to investigate prognostic values of clinicopathological characteristics, as well as survival outcomes, in MPUC of the urinary bladder. A multivariable Cox proportional hazard model, subgroup analyses, and propensity score matching were used.
RESULTS: In all, 519 patients with MPUC and 154 453 patients with TCC were enrolled. Compared with TCC, patients with MPUC had a higher rate of muscle invasive disease (P < .001), lymph node metastasis (P < .001), and distal metastasis (P < .001), as well as higher tumor grade (P < .001). According to the survival analyses, the MPUC group also had lower survival probability in both cancer-specific mortality (CSM) (P < .0001) and overall mortality (OM) analyses (P < .0001). Cox proportional hazard regression showed that the MPUC group had a higher risk of OM (hazard ratios [HR] = 1.39, 95% confidence intervals [CI] = 1.22-1.57, P < .0001), although the CSM (HR = 1.18, 95% CI = 1.00-1.40, P = .0505) in that group was fair. In the subgroup analysis, only MPUC patients without distal metastasis faced a higher risk of CSM (HR = 1.33, 95% CI = 1.101.61, P < .0001).
CONCLUSIONS: Micropapillary urothelial carcinoma prognosis is poorer than that of TCC. Micropapillary urothelial carcinoma is an independent prognostic factor for OM in patients with urinary bladder cancer.
© 2020 The Authors. Cancer Medicine published by John Wiley & Sons Lt.

Entities:  

Keywords:  SEER Program; micropapillary urothelial carcinoma; prognosis; urinary bladder

Mesh:

Year:  2020        PMID: 32529761      PMCID: PMC7367637          DOI: 10.1002/cam4.3147

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


INTRODUCTION

Bladder cancer is one of the most common cancer types and is a significant cause of tumor‐related death worldwide. The worldwide age‐standardized incidence rate (per 100 000 person/y) of bladder cancer is 9.0 for men and 2.2 for women. The most common pathological type is transitional cell carcinoma (TCC), and thus, treatments for bladder cancer focus primarily on TCC. Since Amin et al reported a micropapillary component in TCC of the urinary bladder and its poor prognosis in 1994. The incidence of micropapillary urothelial carcinoma (MPUC) is 0.7%‐8.3%, according to various published articles. , Micropapillary urothelial carcinoma is characterized by small, tight clusters of high‐grade tumor cells that lack true fibrovascular cores and are contained within lacunar spaces; thus, it often has an aggressive clinical course. However, MPUC histology as an independent prognostic factor is still controversial. According to Sui et al's analysis of the National Cancer Database, MPUC has a poor prognosis regardless of treatment modality. However, the multi‐institutional analysis by Mitra et al found that even MPUC is associated with advanced disease at cystectomy, but the clinical outcomes are similar to those of pure TCC after controlling for pathologic features. Moreover, a meta‐analysis supports the finding that patients with MPUC who undergo radical cystectomy (RC) have survival outcomes similar to those of patients with TCC. Thus far, given MPUC's rarity, there is no analysis based on sufficient sample size. Therefore, we used the national Surveillance, Epidemiology, and End Results (SEER) database (2004‐2016) to investigate prognostic values of clinicopathological characteristics and survival outcomes in MPUC of the urinary bladder.

MATERIALS AND METHODS

Data resource and study population

Adults patients (≥18 years of age) who were registered from 2004 to 2016 in the SEER database were selected. The primary cancer site was restricted to the urinary bladder according to the International Classification of Disease for Oncology, Third Edition. Patients were included only if the histology was MPUC or TCC. The diagnosis was confirmed by positive histology and was their first or only cancer diagnosis (first positive indicator of malignancy).

End points

The main end points were overall mortality (OM) and cancer‐specific mortality (CSM) according to data in the SEER database. Overall mortality refers to deaths from any cause, while CSM is defined as death from MPUC or TCC according to the recorded cause of death. Survival time was the duration from initial diagnosis to death from any cause or to the last follow‐up.

Statistical analysis

Baseline characteristics were assessed to determine whether there were significant differences in the distribution of the study population. Two‐sample t tests and Pearson's chi‐square tests were performed for continuous variables and categorical variables, respectively. Continuous variables were presented as the mean ± SD. For age at diagnosis and survival (in months), medians and interquartile ranges were also reported. Categorical variables were shown as frequencies and their proportions. The OM and CSM of each histological subtype were compared using unadjusted Kaplan‐Meier curves and the log‐rank test. The multivariable Cox proportional hazard model was used to calculate hazard ratios (HR) and their 95% confidence intervals (95% CI) stratified by histological types. The following covariates were adjusted: sex, age at diagnosis, primary site, treatment modality (surgery and radiation), and tumor‐node‐metastasis (TNM) stage. Subgroup analyses were performed by multivariate regression analysis. Sex, age at diagnosis, TNM stage, and treatment modality (surgery and radiation) were adjusted in the Cox model. Tests to determine interactions were also used in the subgroup analyses. Propensity score matching (PSM) was used to further adjust the model for potential baseline confounding factors. All analyses were performed with the statistical software packages R (http://www.R‐project.org; The R Foundation) and EmpowerStats (http://www.empowerstats.com; X&Y Solutions, Inc).

RESULTS

Baseline characteristics of the study population

In all, 154 972 patients were diagnosed with TCC and MPUC in the SEER database from 2004 to 2016. This study included 154 453 patients with TCC and 519 patients with MPUC were included. Table 1 includes the patients' baseline characteristics. At diagnosis, patients with MPUC were close in age to those with TCC (MPUC 71.16 ± 10.91 vs TCC 70.91 ± 12.06, P = .628). Most patients were males in both the MPUC (80.54%) and TCC (76.97%) groups, and there was no difference in the proportion of males and females between the two groups (P = .315). Patients in the MPUC group presented at a more advanced stage than those in the TCC group, as shown by a higher rate of muscle invasive disease (63.39% vs 9.39%, P < .001), lymph node metastasis (24.28% vs 1.32%, P < .001), and distal metastasis (10.79% vs 1.17%, P < .001). Higher‐grade disease was also more common in the MPUC group (97.49% vs 49.38%, P < .001). The surgery constituent ratio was significantly different between the two groups (P < .001), and patients in the MPUC group were more likely to undergo RC (19.27% vs 2.68%) and pelvic exenteration (17.34% vs 1.56%). Moreover, lymph nodes were more likely to be removed from patients in the MPUC group than from patients in the TCC group (38.54% vs 4.24%, P < .001). Moreover, regarding known radiation therapy, beam radiation was used more frequently in the MPUC group than in the TCC group (11.18% vs 2.00%, P < .001).
TABLE 1

Baseline demographic and clinicopathologic characteristics of patients with MPUC compared to TCC

MPUC (n = 519)TCC (n = 154 453) P‐value
Mean age (y, SD)71.16 ± 10.9170.91 ± 12.06.628
Median age (y, IQR)71.00 (64.00‐79.00)72.00 (63.00‐80.00).866
Sex.054
Male418 (80.54%)118 876 (76.97%)
Female101 (19.46%)35 577 (23.03%)
Marital status.065
Married322 (62.04%)92 245 (59.72%)
Single60 (11.56%)15 571 (10.08%)
Widowed/Divorced108 (20.81%)33 334 (21.58%)
Unknown29 (5.59%)13 303 (8.61%)
Race.164
White462 (89.02%)138 377 (89.59%)
Black30 (5.78%)7584 (4.91%)
Other25 (4.82%)6368 (4.12%)
Unknown2 (0.39%)2124 (1.38%)
Year of diagnosis<.001
200412 (2.31%)11 581 (7.50%)
200511 (2.12%)11 076 (7.17%)
200623 (4.43%)11 365 (7.36%)
200723 (4.43%)11 745 (7.60%)
200826 (5.01%)11 643 (7.54%)
200944 (8.48%)11 632 (7.53%)
201042 (8.09%)11 919 (7.72%)
201136 (6.94%)11 794 (7.64%)
201242 (8.09%)12 299 (7.96%)
201348 (9.25%)12 157 (7.87%)
201468 (13.10%)12 341 (7.99%)
201567 (12.91%)12 534 (8.12%)
201677 (14.84%)12 367 (8.01%)
Primary site<.001
Trigone of bladder27 (5.20%)9944 (6.44%)
Dome of bladder27 (5.20%)4541 (2.94%)
Lateral wall of bladder97 (18.69%)34 216 (22.15%)
Anterior wall of bladder9 (1.73%)2861 (1.85%)
Posterior wall of bladder44 (8.48%)14 551 (9.42%)
Bladder neck11 (2.12%)4481 (2.90%)
Ureteric orifice5 (0.96%)6986 (4.52%)
Urachus1 (0.19%)25 (0.02%)
Overlapping lesion of bladder85 (16.38%)14 142 (9.16%)
Bladder, NOS213 (41.04%)62 706 (40.60%)
T stage<.001
Ta18 (3.47%)99 586 (64.48%)
Tis5 (0.96%)2450 (1.59%)
T1164 (31.60%)36 159 (23.41%)
T2195 (37.57%)10 394 (6.73%)
T375 (14.45%)2014 (1.30%)
T459 (11.37%)2095 (1.36%)
Unknown3 (0.58%)1755 (1.14%)
N stage<.001
N0384 (73.99%)149 639 (96.88%)
N132 (6.17%)992 (0.64%)
N286 (16.57%)979 (0.63%)
N38 (1.54%)72 (0.05%)
Unknown9 (1.73%)2771 (1.79%)
M stage<.001
M0459 (88.44%)150 922 (97.71%)
M156 (10.79%)1810 (1.17%)
Unknown4 (0.77%)1721 (1.11%)
Grade<.001
Low9 (2.51%)39 365 (50.62%)
High349 (97.49%)38 407 (49.38%)
Surgery<.001
No surgery17 (3.28%)8192 (5.30%)
TURBT244 (47.01%)111 962 (72.49%)
Partial cystectomy9 (1.73%)1134 (0.73%)
Radical cystectomy100 (19.27%)4143 (2.68%)
Pelvic exenteration90 (17.34%)2404 (1.56%)
Other58 (11.18%)26 357 (17.06%)
Unknown procedure1 (0.19%)261 (0.17%)
Lymph nodes removed<.001
None319 (61.46%)147 899 (95.76%)
More than one200 (38.54%)6554 (4.24%)
Radiation<.001
Beam radiation58 (11.18%)3094 (2.00%)
Radioactive implants0 (0.00%)12 (0.01%)
Combination of beam and implants0 (0.00%)2 (0.00%)
Radioisotopes0 (0.00%)11 (0.01%)
Radiation unknown0 (0.00%)68 (0.04%)
Performance unknown461 (88.82%)151 266 (97.94%)
Cancer‐specific mortality<.001
Alive373 (71.87%)141 802 (91.81%)
Dead146 (28.13%)12 651 (8.19%)
Overall mortality<.001
Alive268 (51.64%)54 682 (35.40%)
Dead251 (48.36%)99 771 (64.60%)
Survival time (y, SD)31.76 (33.08)54.94 (42.02)<.001
Survival time (y, IQR)19.00 (8.00‐44.00)46.00 (19.00‐85.00)<.001

Abbreviations: IQR, interquartile range; MPUC, micropapillary urothelial carcinoma; NOS, not otherwise specified; TCC, transitional cell carcinoma; TURBT, transurethral resection of bladder tumor.

Baseline demographic and clinicopathologic characteristics of patients with MPUC compared to TCC Abbreviations: IQR, interquartile range; MPUC, micropapillary urothelial carcinoma; NOS, not otherwise specified; TCC, transitional cell carcinoma; TURBT, transurethral resection of bladder tumor.

Survival analyses

In survival analyses, the overall survival probability of patients in the MPUC group declined significantly faster than that of patients in the TCC group (P < .0001; Figure 1). When the landmark was set at 5 years (60 months), the survival probability of the MPUC group also declined faster in the OM analyses (Figure S1). The MPUC group also had a lower survival probability in the CSM analyses (P < .0001; Figure 1).
FIGURE 1

Cancer‐specific mortality and overall mortality of patients with micropapillary urothelial carcinoma (MPUC) and transitional cell carcinoma (TCC) respectively

Cancer‐specific mortality and overall mortality of patients with micropapillary urothelial carcinoma (MPUC) and transitional cell carcinoma (TCC) respectively Table 2 presents multivariable Cox proportional hazard models. After adjustments for age, sex, TNM stage, tumor site, and treatment method, the adjusted model II showed that the MPUC group had a significantly higher risk of OM compared with the TCC group (HR = 1.39, 95% CI = 1.22‐1.57, P < .0001), while no difference in CSM was observed between the two groups (HR = 1.18, 95% CI = 1.00‐1.40, P = .0505). To minimize selection bias, PSM was performed for baseline factors and treatments (Table 3). However, there were still differences in N stage, M stage, grade, surgery, and lymph nodes removed between the groups. Furthermore, we performed an extra adjustment to analyze the mismatched baseline factors. In the PSM adjusted model I, the MPUC group did not show a higher risk of OM (HR = 1.09, 95% CI = 0.92‐0.29, P = .3097) or CSM (HR = 1.18, 95% CI = 0.92‐1.51, P = .2049). After further adjustment for T stage and radiation, the PSM adjusted model II showed that the MPUC group faced higher risks of CSM (HR = 1.30, 95% CI = 1.00‐1.67, P = .0469), but there was no difference in OM (HR = 1.10, 95% CI = 0.93‐1.31, P = .2688).
TABLE 2

Multivariable Cox proportional hazard model

OutcomesMPUC HR (95% CI) P‐value
Overall mortality
Non‐adjusted1.50 (1.33, 1.70)<.0001
Adjusted I1.40 (1.24, 1.59)<.0001
Adjusted II1.39 (1.22, 1.57)<.0001
PSM non‐adjusted1.48 (1.29, 1.71)<.0001
PSM adjusted1.10 (0.93, 1.31).2688
Cancer‐specific mortality
Non‐adjusted5.20 (4.42, 6.12)<.0001
Adjusted I1.06 (0.90, 1.25).5044
Adjusted II1.18 (1.00, 1.40).0505
PSM non‐adjusted1.35 (1.12, 1.62).0016
PSM adjusted1.30 (1.00, 1.67).0469

Adjusted I model adjust for: T stage; N stage; M stage.

Adjusted II model adjust for: Sex; Age; Primary Site; T stage; N stage; M stage; surgery; radiation.

PSM non‐adjusted model adjust for none.

PSM adjusted model adjust for: T stage; N stage; M stage; surgery; radiation; grade; lymph nodes removed.

Abbreviations: HR, hazard ratio; MPUC, micropapillary urothelial carcinoma; PSM, propensity score matching.

TABLE 3

Propensity score matching for baseline factors

MPUC (n = 519)TCC (n = 1996)Standardized difference P‐value
Mean Age (y, SD)71.06 ± 10.9071.01 ± 11.400.0046.9280
Sex01.0000
Male401 (80.4)1604 (80.4)
Female98 (19.6)392 (19.6)
Marital status.2326
Married312 (62.5)1149 (57.6)0.1014
Single58 (11.6)247 (12.4)0.0231
Widowed/Divorced101 (20.2)470 (23.5)0.0800
Unknown28 (5.6)130 (6.5)0.0378
Race.8007
White442 (88.6)1776 (89)0.0127
Black30 (6)125 (6.3)0.0104
Other25 (5)83 (4.2)0.0407
Unknown2 (0.4)12 (0.6)0.0284
Primary site.1086
Trigone of bladder26 (5.2)89 (4.5)0.0350
Dome of bladder26 (5.2)73 (3.7)0.0755
Lateral wall of bladder96 (19.2)347 (17.4)0.0479
Anterior wall of bladder9 (1.8)55 (2.8)0.0638
Posterior wall of bladder42 (8.4)153 (7.7)0.0276
Bladder neck11 (2.2)63 (3.2)0.059
Ureteric orifice5 (1)51 (2.6)0.1177
Urachus1 (0.2)1 (0.1)0.0425
Overlapping lesion of bladder81 (16.2)283 (14.2)0.0572
Bladder, NOS202 (40.5)881 (44.1)0.0741
T stage.0931
Ta18 (3.6)72 (3.6)0
Tis4 (0.8)16 (0.8)0
T1156 (31.3)648 (32.5)0.0258
T2193 (38.7)771 (38.6)0.0010
T371 (14.2)244 (12.2)0.0592
T455 (11)194 (9.7)0.0427
Unknown2 (0.4)51 (2.6)0.1792
N stage<.0001
N0372 (74.5)1535 (76.9)0.0549
N129 (5.8)116 (5.8)0
N281 (16.2)215 (10.8)0.1603
N38 (1.6)13 (0.7)0.0903
Unknown9 (1.8)117 (5.9)0.2126
M stage.0269
M0444 (89)1788 (89.6)0.0194
M151 (10.2)160 (8)0.0766
Unknown4 (0.8)48 (2.4)0.1279
Grade0.3848<.0001
Low6 (1.7)112 (11)
High337 (98.3)909 (89)
Surgery.0001
No surgery16 (3.2)92 (4.6)0.0724
TURBT233 (46.7)1115 (55.9)0.1842
Partial cystectomy9 (1.8)30 (1.5)0.0236
Radical cystectomy97 (19.4)336 (16.8)0.0677
Pelvic exenteration86 (17.2)201 (10.1)0.2098
Other57 (11.4)218 (10.9)0.0159
Unknown procedure1 (0.2)4 (0.2)0
Lymph nodes removed0.2643<.0001
None306 (61.3)1469 (73.6)
More than one193 (38.7)527 (26.4)
Radiation.1759
Beam radiation58 (11.6)183 (9.2)0.0805
Radiation unknown0 (0)3 (0.2)0.0549
Performance unknown441 (88.4)1810 (90.7)0.0753
Cancer‐specific mortality.0625
Alive353 (70.7)1496 (74.9)0.0947
Dead146 (29.3)500 (25.1)
Overall mortality0.0411.4400
Alive256 (51.3)1065 (53.4)
Dead243 (48.7)931 (46.6)

Abbreviations: MPUC, micropapillary urothelial carcinoma; NOS, not otherwise specified; TCC, transitional cell carcinoma; TURBT, transurethral resection of bladder tumor.

Multivariable Cox proportional hazard model Adjusted I model adjust for: T stage; N stage; M stage. Adjusted II model adjust for: Sex; Age; Primary Site; T stage; N stage; M stage; surgery; radiation. PSM non‐adjusted model adjust for none. PSM adjusted model adjust for: T stage; N stage; M stage; surgery; radiation; grade; lymph nodes removed. Abbreviations: HR, hazard ratio; MPUC, micropapillary urothelial carcinoma; PSM, propensity score matching. Propensity score matching for baseline factors Abbreviations: MPUC, micropapillary urothelial carcinoma; NOS, not otherwise specified; TCC, transitional cell carcinoma; TURBT, transurethral resection of bladder tumor.

Subgroup analyses

The subgroup analytical results are shown in Figure 2. After adjusting for potential covariates, the tests for interaction were not statistically significant for sex, age, T stage, and N stage in terms of both OM and CSM. This indicated that MPUC had a worse prognosis in all groups except for distal metastasis. Only MPUC patients without distal metastasis faced a higher risk of CSM (HR = 1.33, 95% CI = 1.10‐1.61, P < .0001). However, in the OM analysis, the P value of N stage in the test for interaction was .0521 and near .05. This might have resulted from a relatively insufficient sample size or lymph node metastasis might interact with MPUC histology.
FIGURE 2

Subgroup analysis for interaction between micropapillary urothelial carcinoma and potential covariates in both overall mortality and cancer‐specific mortality

Subgroup analysis for interaction between micropapillary urothelial carcinoma and potential covariates in both overall mortality and cancer‐specific mortality

DISCUSSION

In this study, we aimed to investigate prognostic values of clinicopathological characteristics and survival outcomes in MPUC of the urinary bladder. Given that TCC accounts for approximately 95% of bladder cancers, MPUC, and TCC were compared using records from the SEER database according to specified inclusion criteria. Micropapillary urothelial carcinoma and TCC had different effects on patients' OM, especially the 5‐year survival status (P < .0001). Moreover, patients with MPUC were at a higher risk of OM (HR = 1.39, 95% CI = 1.22‐1.57, P < .0001), but their CSM (HR = 1.18, 95% CI = 1.00‐1.40, P = .0505) was fair. This indicated that MPUC could be an independent prognostic factor for OM in patients with urinary bladder cancer. Furthermore, in the subgroup analysis, only MPUC patients without distal metastasis faced a higher risk of CSM (HR = 1.33, 95% CI = 1.10‐1.61, P < .0001). This study supported previous research that reported that MPUC could be an independent prognostic factor for OM (HR = 1.39, 95% CI = 1.22‐1.57, P < .0001). However, in terms of CSM, MPUC as a prognostic factor is still controversial because the P value for both the adjusted model II (.0505) and the PSM adjusted model (.0469) are near .05 in different sides. Sui et al analyzed 869 MPUC patients from the National Cancer Database (2004‐2014) and suggested that MPUC independently predicted a decreased OM, but they did not analyze CSM. Vourganti et al enrolled 120 MPBC patients from the SEER database (2001‐2008) and found no survival difference between MPUC and UC after controlling for stage and grade. A multi‐institutional analysis based on 151 MPUC patients demonstrated that MPUC was not independently associated with the risks of recurrence or OM. Although Abufaraj et al included 15 studies in their meta‐analysis, their results focused on patients undergoing RC or neoadjuvant chemotherapy. Compared with the above studies, the present study analyzed a sufficient number of patients and adjusted covariates to consider overall survival. Briefly, this study indicated that MPUC is an independent prognostic factor for OM at the population level. Interestingly, in the subgroup analysis of this study, MPUC patients without distal metastasis faced a higher risk of CSM (HR = 1.33, 95% CI = 1.10‐1.61, P < .0001), even though CSM, as an independent prognostic factor, remains controversial. This finding indicated that M0 MPUC patients may require aggressive treatments to improve CSM. Most MPUC cases in this study were diagnosed with muscle invasive bladder cancer (MIBC) compared with TCC cases (63.39% vs 9.39%, P < .001), and MPUC patients had higher rates of lymph node metastasis (24.28% vs 1.32%, P < .001) and distal metastasis (10.79% vs 1.17%, P < .001). Higher‐grade disease was also more common in the MPUC group (97.49% vs 49.38%, P < .001). These aggressive pathologic features have also been noted in other studies. , , According to another study, even if MPUC constituted less than 10% of a UC, the patients had worse prognoses. Micropapillary urothelial carcinoma contains small, tight clusters of high‐grade or infiltrating tumor cells, and its morphological characteristics are related directly to molecular alterations. Conventional TCC may be categorized broadly into the luminal and basal types, but MPUC tends to be luminal with expression of markers such as FOXA1 and GATA3. Moreover, human epidermal growth factor receptor 2 overexpression and amplification are common in MPUC, , which can also be characterized by activation of the miR‐296 and RUVBL1 target genes. Furthermore, epithelial membrane antigen and E‐cadherin participate in MPUC polarity reversal. These molecular mechanisms might be helpful for early diagnosis and further treatment of this cancer. In this study, the most common surgery type in the MPUC group was TURBT (47.01%, 244/519), followed by RC (19.27%, 100/519) and pelvic exenteration (17.34%, 90/519). In addition, MPUC patients had more lymph nodes removed (38.54% vs 4.24%, P < .001) and were more likely to be treated with beam radiation (11.18% vs 2.00%, P < .001) than patients in the TCC group. Given that 63.39% of MPUC patients have MIBC, the treatment is relatively conservative and may be responsible for worse prognoses. Although RC was recommended in MIBC guidelines, early RC in non‐MIBC patients is still controversial. A population‐based study showed no difference between RC and bladder preservation surgery for cT1 MPUC, while Willis et al reported a better prognosis after early RC. Cisplatin‐based neoadjuvant therapy was commonly given to improve MIBC prognoses, but it is unclear whether it actually does. Sui et al found no survival benefit from MPUC after neoadjuvant chemotherapy. Although other studies reported pathological downstaging, this does not translate into better survival outcomes. In this study, MPUC was found to be an independent prognostic factor for OM and for CSM in the M0 subgroup. We suggest that, once MPUC components are found by biopsy, an advanced combined treatment should be considered. However, multicenter clinical trials are needed to establish a better therapeutic protocol for this rare, but aggressive, cancer. This study had several strengths. First, we enrolled 519 patients with MPUC of the urinary bladder from 2004 to 2016; thus, we had a sufficient sample size to perform an exact and multiform analysis. Subgroup analyses and PSM were used to analyze potential confounding factors. Second, we updated clinicopathological characteristics and survival outcomes of MPUC, based on recent data. However, our study also had some limitations. First, this study had instinct limitations due to its retrospective nature. Selection bias may exist, which is inevitable for clinical observational studies, even those using PSM. Second, the SEER database lacked some essential variables; for example, treatment regimens were classified into two major categories as either surgery or radiotherapy, but chemotherapy and new therapies such as checkpoint‐inhibitor drugs were absent; including these treatment modalities might have led to different outcomes.

CONCLUSIONS

The prognosis of MPUC is poorer than that of TCC. Micropapillary urothelial carcinoma is an independent prognostic factor for OM in patients with urinary bladder cancer. In the subgroup analysis, only MPUC patients without distal metastasis faced a higher risk of CSM.

CONFLICT OF INTEREST

Nonfinancial associations that may be relevant to the submitted manuscript.

AUTHORS' CONTRIBUTION

The first three authors contributed equally as first authors of this manuscript. All authors contributed to the design of the project, data collection and analysis, and contributed to the final manuscript. All authors have read and approved the final submitted manuscript. Fig S1 Click here for additional data file. Fig S1Legend Click here for additional data file.
  19 in total

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Journal:  Urol Oncol       Date:  2017-01-10       Impact factor: 3.498

4.  Gene Expression Profile of the Clinically Aggressive Micropapillary Variant of Bladder Cancer.

Authors:  Charles Chuanhai Guo; Vipulkumar Dadhania; Li Zhang; Tadeusz Majewski; Jolanta Bondaruk; Maciej Sykulski; Weronika Wronowska; Anna Gambin; Yan Wang; Shizhen Zhang; Enrique Fuentes-Mattei; Ashish Madhav Kamat; Colin Dinney; Arlene Siefker-Radtke; Woonyoung Choi; Keith A Baggerly; David McConkey; John N Weinstein; Bogdan Czerniak
Journal:  Eur Urol       Date:  2016-03-15       Impact factor: 20.096

5.  Micropapillary Urothelial Carcinoma of the Bladder: A Systematic Review and Meta-analysis of Disease Characteristics and Treatment Outcomes.

Authors:  Mohammad Abufaraj; Beat Foerster; Eva Schernhammer; Marco Moschini; Shoji Kimura; Melanie R Hassler; Mark A Preston; Pierre I Karakiewicz; Mesut Remzi; Shahrokh F Shariat
Journal:  Eur Urol       Date:  2018-12-13       Impact factor: 20.096

6.  FOXA1 and CK14 as markers of luminal and basal subtypes in histologic variants of bladder cancer and their associated conventional urothelial carcinoma.

Authors:  Joshua I Warrick; Matthew Kaag; Jay D Raman; Wilson Chan; Truc Tran; Sudhir Kunchala; Lauren Shuman; David DeGraff; Guoli Chen
Journal:  Virchows Arch       Date:  2017-07-18       Impact factor: 4.064

Review 7.  Updates on the Genetics and Molecular Subtypes of Urothelial Carcinoma and Select Variants.

Authors:  Hikmat Al-Ahmadie; Gopa Iyer
Journal:  Surg Pathol Clin       Date:  2018-10-17

Review 8.  Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends.

Authors:  Sebastien Antoni; Jacques Ferlay; Isabelle Soerjomataram; Ariana Znaor; Ahmedin Jemal; Freddie Bray
Journal:  Eur Urol       Date:  2016-06-28       Impact factor: 20.096

Review 9.  European Association of Urology Guidelines on Non-muscle-invasive Bladder Cancer (TaT1 and Carcinoma In Situ) - 2019 Update.

Authors:  Marko Babjuk; Maximilian Burger; Eva M Compérat; Paolo Gontero; A Hugh Mostafid; Joan Palou; Bas W G van Rhijn; Morgan Rouprêt; Shahrokh F Shariat; Richard Sylvester; Richard Zigeuner; Otakar Capoun; Daniel Cohen; José Luis Dominguez Escrig; Virginia Hernández; Benoit Peyronnet; Thomas Seisen; Viktor Soukup
Journal:  Eur Urol       Date:  2019-08-20       Impact factor: 20.096

10.  Micropapillary Bladder Cancer: Insights from the National Cancer Database.

Authors:  Wilson Sui; Justin T Matulay; Maxwell B James; Ifeanyi C Onyeji; Marissa C Theofanides; Arindam RoyChoudhury; G Joel DeCastro; Sven Wenske
Journal:  Bladder Cancer       Date:  2016-10-27
View more
  4 in total

1.  Prognostic values of the clinicopathological characteristics and survival outcomes in micropapillary urothelial carcinoma of the bladder: A SEER database analysis.

Authors:  Di Jin; Kun Jin; Shi Qiu; Xianghong Zhou; Qiming Yuan; Lu Yang; Qiang Wei
Journal:  Cancer Med       Date:  2020-06-11       Impact factor: 4.452

Review 2.  Unusual Faces of Bladder Cancer.

Authors:  Claudia Manini; José I López
Journal:  Cancers (Basel)       Date:  2020-12-10       Impact factor: 6.639

3.  The association between dietary vitamin C intake and periodontitis: result from the NHANES (2009-2014).

Authors:  Wei Li; Jukun Song; Zhu Chen
Journal:  BMC Oral Health       Date:  2022-09-08       Impact factor: 3.747

4.  Cancer Antigen 15-3 Serum Level as a Biomarker for Advanced Micropapillary Urothelial Carcinoma of the Bladder: A Case Report.

Authors:  Koichiro Takayama; Shintaro Narita; Yasushiro Terai; Ryoko Saito; Tomonori Habuchi
Journal:  Case Rep Oncol       Date:  2021-06-29
  4 in total

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