Literature DB >> 33488776

Marital status does not affect the cancer-specific survival of patients with upper tract urothelial carcinoma treated with nephroureterectomy: a propensity score matching study.

Weipu Mao1, Jianping Wu1, Keyi Wang2, Bin Xu3, Ming Chen3.   

Abstract

BACKGROUND: The purpose of this study was to investigate the relationship between marital status and the prognosis of patients with upper tract urothelial carcinoma (UTUC) treated with nephroureterectomy (NU).
METHODS: Patients with UTUC who received NU treatment were identified from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. Kaplan-Meier curves and Cox regression were used to analyze the effect of marital status on cancer-specific survival (CSS), and 1:1 propensity score matching (PSM) was performed for married and unmarried patients to explore further the effect of marital status on patients with UTUC.
RESULTS: Among 1565 eligible patients, 960 (61.3%) were married and 605 (38.7%) were unmarried, of which 146 (9.3%) were divorced/separated, 306 (19.6%) were widowed, and 153 (9.8%) were single. Multivariate Cox regression analysis showed that marital status was not an independent risk factor for patients with UTUC treated with NU. After stratification by grade and SEER stage, multivariate analysis showed that there was no significant difference in 5-year CSS between divorced/separated, widowed, and single patients compared with married patients in different grades and SEER stages. In addition, after PSM analysis, marital status was still not an independent risk factor for patients with UTUC treated with NU.
CONCLUSION: For patients with UTUC treated with NU, marital status has no prognostic effect on CSS.
© The Author(s), 2020.

Entities:  

Keywords:  Epidemiology; Surveillance; and End Results database; marital status; nephroureterectomy; survival outcome; upper tract urothelial carcinoma

Year:  2020        PMID: 33488776      PMCID: PMC7768858          DOI: 10.1177/1756287220981510

Source DB:  PubMed          Journal:  Ther Adv Urol        ISSN: 1756-2872


Background

Upper tract urothelial carcinoma (UTUC) refers to urothelial malignant tumors that occur in the renal pelvis, calyceal system, and the entire segment of the ureter, including renal pelvis cancer and ureteral carcinoma, which accounts for about 5–10% of urothelial cancer.[1,2] Compared with bladder cancer, at the time of onset, more patients with a combination of bladder cancer at the time of onset have a worse prognosis.[3] UTUC has the characteristics of multicentric tumor growth and urinary dissemination tendency, and the tumor recurrence rate of residual renal pelvis or ureteral tissue after simple lesions and partial urethral resection was relatively high.[4] The current gold standard for high-risk UTUC is radical nephroureterectomy (NU) plus bladder sleeve resection, but there are still 20–30% of patients with extra-urinary tract recurrence after operation.[5] Marital status has always been closely related to cancer mortality. Many studies have confirmed that marital status may affect the prognosis of a variety of tumors, including bladder cancer,[6] prostate cancer,[7] penile cancer,[8] as well as colorectal carcinoma,[9] and married patients were considered to have a better survival prognosis. Previous studies have found that marital status was an independent risk factor for UTUC,[10] but no study has reported the effect of marital status on the survival of patients with UTUC treated with NU. Therefore, the purpose of this study was to explore whether marital status has an impact on the survival of patients with UTUC treated with NU through the data extracted from the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

Patient selection

The data presented in our study were retrieved from the SEER database, which is funded by the US National Cancer Institute. The SEER database covers approximately 28% of the US population and includes demographic information and cancer characteristics, such as age at diagnosis, year of diagnosis, race, marital status, insurance status, income status, primary tumor location, tumor grade and stage, histological type, tumor-node-metastasis stage, treatment modality, and survival time.[11] The National Cancer Institute’s SEER × Stat software [version 8.3.5; SEER 18 Regs Custom Data (with additional treatment fields), November 2018 Sub (1975–2016 varying) database] was used in this study. Using the ‘primary site-labeled’ variable codes C65.9 − Renal pelvis and C66.9 − Ureter, we identified 15,119 patients between 1 January 2010 and 31 December 2015. Exclusion criteria in our study were as follows: (a) marital status unknown or domestic partner (n = 723); (b) patients under 18 years of age (n = 2); (c) unknown survival time (n = 30); (d) not one primary tumor only (n = 7185); (e) surgery code not 50, 70, 80 (n = 5510); (f) histology type not transitional cell carcinoma (n = 104). Finally, we left 1565 eligible patients diagnosed with UTUC.

Study variables

Variable definition information about age at diagnosis, year of diagnosis, sex, race, marital status, histological type, tumor grade, SEER stage, radiotherapy, chemotherapy, median household income, and survival time can be found in the SEER database. The starting point for the follow up was the date of diagnosis of UTUC, and the endpoint was cancer-specific death or the last follow up in December 2015. When analyzing cancer-specific survival (CSS), mortality cases associated with other causes were excluded.

Statistical analysis

Age and household income (Figure S1) were categorically divided based on the optimal cut-off value generated by X-tile software (Version 3.6.1). Chi-square analysis was performed to evaluate clinical characteristics of patients with UTUC treated with NU. Kaplan–Meier curves were used to estimate the CSS of patients with UTUC treated with NU, and the differences between the curves were analyzed by log-rank test. Univariate and multivariate Cox regression models were performed to estimate the hazard ratios and 95% confidence intervals to analyze independent prognostic factors of patients with UTUC treated with NU. Patients were divided into a married group and an unmarried group according to marital status. The 1:1 propensity score matching (PSM) reduced the selection bias of two groups of baseline variables, including year of diagnosis, age at diagnosis, sex, race, primary site, grade, SEER stage, radiotherapy, chemotherapy, and household income (Figure S2). After PSM, the impact of marital status on the entire cohort and different grades and SEER stages were re-evaluated. The Statistical Package for the Social Sciences software (version 24.0; SPSS, Chicago, IL, USA) and R software (version 3.5.1, http://www.r-project.org/) were used for all statistical analyses. p value < 0.05 (two-sided) was considered statistically significant.

Results

Demographic and clinicopathologic characteristics

According to the screening criteria in Figure 1, a total of 1565 eligible patients with UTUC treated with NU were included in our study cohort from 2004 to 2015, of which 960 (61.3%) were married, 146 (9.3%) were divorced/separated, 306 (19.6%) were widowed, and 153 (9.8%) were single. Table 1 shows the demographic and clinical characteristics of patients with UTUC treated with NU. In the whole cohort, 1250 (79.9%) were patients with renal pelvis cancer and 315 (20.1%) with ureter cancer. The majority of patients were men (56.2%), ⩽76 years (64.9%), grade IV (48.9%), regional (63.1%), and no radiotherapy (92.8%) or chemotherapy (72.8%). In addition, chi-square tests showed differences in sex, age, race, and chemotherapy between married and unmarried groups or between married, divorced/separated, widowed, and single groups. The proportion of women (77.1% versus 33.5%, 43.8%, 41.8%), >76 years (65.7% versus 29.6%, 24.7%, 19.0%), did not receive chemotherapy (84.6% versus 69.1%, 75.3%, 69.9%) in the widowed group was higher than in other groups.
Figure 1.

Schematic flow diagram of inclusion and exclusion criteria for the study cohort.

TCC, transitional cell cancer.

Table 1.

Baseline demographic and clinical characteristics of upper tract urothelial carcinoma patients in our study.

CharacteristicAllMarriedUnmarriedp value[*]p value[$]
TotalDivorced/separatedWidowedSingle
No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)
Total1565960 (61.3)605 (38.7)146 (9.3)306 (19.6)153 (9.8)
Year of diagnosis0.4110.294
 2004–2007509 (32.5)313 (32.6)196 (32.4)42 (28.8)109 (35.6)45 (29.4)
 2008–2011546 (34.9)324 (33.8)222 (36.7)54 (37.0)115 (37.6)53 (34.6)
 2012–2015510 (32.6)323 (33.6)187 (30.9)50 (34.2)82 (26.8)55 (35.9)
Sex<0.001<0.001
 Male879 (56.2)638 (66.5)241 (39.8)82 (56.2)70 (22.9)89 (58.2)
 Female686 (43.8)322 (33.5)364 (60.2)64 (43.8)236 (77.1)64 (41.8)
Age at diagnosis, years<0.001<0.001
 ⩽761015 (64.9)676 (70.4)339 (56.0)110 (75.3)105 (34.3)124 (81.0)
 >76550 (35.1)284 (29.6)266 (44.0)36 (24.7)201 (65.7)29 (19.0)
Race0.001<0.001
 White1353 (86.5)833 (86.8)520 (86.0)131 (89.7)257 (84.0)132 (86.3)
 Black72 (4.6)31 (3.2)41 (6.8)11 (7.5)16 (5.2)14 (9.2)
 Other140 (8.9)96 (10.0)44 (7.3)4 (2.7)33 (10.8)4 (4.6)
Primary site0.6760.234
 Renal pelvis1250 (79.9)770 (80.2)480 (79.3)114 (78.1)236 (77.1)130 (85.0)
 Ureter315 (20.1)190 (19.8)125 (20.7)32 (21.9)70 (22.9)23 (15.0)
Grade0.9600.035
 Grade I38 (2.4)22 (2.3)16 (2.6)6 (4.1)8 (2.6)2 (1.3)
 Grade II158 (10.1)95 (9.9)63 (10.4)19 (13.0)27 (8.8)17 (11.1)
 Grade III480 (30.7)298 (31.0)182 (30.1)28 (19.2)105 (34.3)49 (32.0)
 Grade IV766 (48.9)472 (49.2)294 (48.6)72 (49.3)145 (47.4)77 (50.3)
 Unknown123 (7.9)73 (7.6)50 (8.3)21 (14.4)21 (6.9)8 (5.2)
SEER stage0.5790.814
 Localized263 (16.8)152 (15.8)111 (18.3)29 (19.9)59 (19.3)23 (15.0)
 Regional988 (63.1)615 (64.1)373 (61.7)86 (58.9)191 (62.4)96 (62.7)
 Distant303 (19.4)187 (19.5)116 (19.2)29 (19.9)54 (17.6)33 (21.6)
 Unstaged11 (0.7)6 (0.6)5 (0.8)2 (1.4)2 (0.7)1 (0.7)
Radiotherapy0.0380.148
 No1453 (92.8)881 (91.8)572 (94.5)138 (94.5)292 (95.4)142 (92.8)
 Yes112 (7.2)79 (8.2)33 (5.5)8 (5.5)14 (4.6)11 (7.2)
Chemotherapy<0.001<0.001
 No1139 (72.8)663 (69.1)476 (78.7)110 (75.3)259 (84.6)107 (69.9)
 Yes426 (27.2)297 (30.9)129 (21.3)36 (24.7)47 (15.4)46 (30.1)
Median household income0.4040.965
 ⩽US$43,930807 (51.6)487 (50.7)320 (52.9)77 (52.7)163 (53.3)80 (52.3)
 >US$43,930758 (48.4)473 (49.3)285 (47.1)69 (47.3)143 (46.7)73 (47.7)

Percentages may not total 100 because of rounding.

Chi-square detected the difference between the married group and unmarried group.

Chi-square detected the difference between the married group, divorced/separated group, widowed group, and single group.

Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated.

SEER, Surveillance, Epidemiology, and End Results.

Schematic flow diagram of inclusion and exclusion criteria for the study cohort. TCC, transitional cell cancer. Baseline demographic and clinical characteristics of upper tract urothelial carcinoma patients in our study. Percentages may not total 100 because of rounding. Chi-square detected the difference between the married group and unmarried group. Chi-square detected the difference between the married group, divorced/separated group, widowed group, and single group. Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated. SEER, Surveillance, Epidemiology, and End Results.

Identification of prognostic factors of CSS before PSM

Univariate and multivariate Cox regression were used to analyze the factors associated with CSS of patients with UTUC treated with NU (Table 2). Univariate and multivariate Cox regression analyses showed that age, primary site, grade, SEER stage, radiotherapy, and chemotherapy were related factors (all p < 0.05) of CSS in patients with UTUC treated with NU, while marital status was not an independent risk factor for CSS (Figure 2).
Table 2.

Univariate and multivariate analysis of CSS rates before propensity score matching.

CharacteristicCSS
Univariate analysisMultivariate analysis*
HR (95% CI)p valueHR (95% CI)p value
Sex
 MaleReference
 Female0.99 (0.83–1.18)0.915
Age at diagnosis, years
 ⩽76ReferenceReference
 >761.39 (1.16–1.66)<0.0011.37 (1.14–1.66)0.001
Race
 WhiteReference
 Black1.22 (0.83–1.79)0.324
 Other1.31 (0.97–1.76)0.077
Primary site
 Renal pelvisReferenceReference
 Ureter0.62 (0.48–0.79)<0.0010.65 (0.50–0.84)0.001
Marital status
 MarriedReference
 Unmarried0.94 (0.78–1.13)0.540
 Divorced/separated0.81 (0.58–1.12)0.210
 Widowed0.96 (0.76–1.22)0.737
 Single1.05 (0.78–1.42)0.732
Grade
 Grade I
 Grade IIReferenceReference
 Grade III3.07 (2.04–4.62)<0.0011.95 (1.28–2.95)0.002
 Grade IV2.60 (1.72–3.89)<0.0011.81 (1.20–2.72)0.005
 Unknown1.98 (1.19–3.30)0.0091.31 (0.77–2.22)0.313
SEER stage
 LocalizedReferenceReference
 Regional4.57 (2.99–6.97)<0.0013.92 (2.55–6.02)<0.001
 Distant16.26 (10.48–25.22)<0.00113.60 (8.57–21.57)<0.001
 Unstaged5.41 (1.88–15.55)0.0025.46 (1.83–16.28)0.008
Radiotherapy
 NoReferenceReference
 Yes2.72 (2.10–3.52)<0.0011.97 (1.52–2.55)<0.001
Chemotherapy
 NoReferenceReference
 Yes1.43 (1.19–1.73)<0.0010.71 (0.58–0.86)0.001
Median household income
 ⩽US$43,930Reference
 >US$43,9300.86 (0.72–1.03)0.103

Model was adjusted by age, primary site, grade, SEER stage, and treatment pattern.

Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated.

CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results.

Figure 2.

(a)and (b) Cancer-specific survival curves according to marital status in patients with upper tract urothelial carcinoma treated with nephroureterectomy before propensity score matching.

Univariate and multivariate analysis of CSS rates before propensity score matching. Model was adjusted by age, primary site, grade, SEER stage, and treatment pattern. Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated. CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results. (a)and (b) Cancer-specific survival curves according to marital status in patients with upper tract urothelial carcinoma treated with nephroureterectomy before propensity score matching. Subsequently, after stratification by grade and SEER stages, univariate analysis showed that marital status was not related to CSS of the different grades and SEER stages (Figures 3 and S3). Multivariate analysis showed that there was no significant difference in 5-year CSS between married and unmarried or divorced/separated, widowed, and single patients; marital status was not an independent risk factor for CSS in patients in the different grades and SEER stages (Table 3).
Figure 3.

Cancer-specific survival curves of patients with upper tract urothelial carcinoma treated with nephroureterectomy according to marital status in different grades before propensity score matching. (a) and (b) Cancer-specific survival times in grade I/II patients. (c) and (d) Cancer-specific survival times in grade III/IV patients.

Table 3.

Multivariate analysis of CSS rates based on primary site before propensity score matching.

CharacteristicTotal5-year CSSCSS[*]
HR (95% CI)p value
Grade I/II
Marital status
 Married11785%Reference
 Unmarried7986%1.00 (0.45–2.19)0.990
  Divorced/separated2588%0.86 (0.25–2.94)0.807
  Widowed3587%0.98 (0.33–2.92)0.967
  Single1982%1.22 (0.36–4.20)0.750
Grade III/IV
Marital status
 Married77057%Reference
 Unmarried47658%0.98 (0.81–1.20)0.868
  Divorced/separated10062%0.86 (0.60–1.25)0.442
  Widowed25059%1.00 (0.78–1.28)0.992
  Single12654%1.05 (0.76–1.45)0.756
Localized
Marital status
 Married15288%Reference
 Unmarried11193%0.59 (0.24–1.43)0.243
  Divorced/separated2989%1.07 (0.31–3.67)0.915
  Widowed5996%0.31 (0.07–1.34)0.117
  Single2391%0.77 (0.18–3.34)0.725
Regional
Marital status
 Married61563%Reference
 Unmarried37363%1.07 (084–1.35)0.586
  Divorced/separated8678%0.68 (0.45–0.99)0.079
  Widowed19160%1.26 (0.94–1.69)0.122
  Single9656%1.28 (0.89–1.86)0.189
Distant
Marital status
 Married18723%Reference
 Unmarried11627%0.98 (0.71–1.36)0.921
  Divorced/separated2915%1.43 (0.89–2.31)0.144
  Widowed5429%0.94 (0.61–1.46)0.790
  Single3334%0.71 (0.40–1.26)0.237

Model was adjusted by age, primary site, grade, SEER stage, and treatment pattern.

CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, SEER, Surveillance, Epidemiology, and End Results.

Cancer-specific survival curves of patients with upper tract urothelial carcinoma treated with nephroureterectomy according to marital status in different grades before propensity score matching. (a) and (b) Cancer-specific survival times in grade I/II patients. (c) and (d) Cancer-specific survival times in grade III/IV patients. Multivariate analysis of CSS rates based on primary site before propensity score matching. Model was adjusted by age, primary site, grade, SEER stage, and treatment pattern. CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, SEER, Surveillance, Epidemiology, and End Results.

Identification of prognostic factors of CSS after PSM

After year of diagnosis, age at diagnosis, sex, race, primary site, grade, SEER stage, radiotherapy, chemotherapy, and household income at 1:1 PSM, we screened 504 married patients and 504 unmarried patients. We performed univariate and multivariate Cox regression analyses on all patients, and found that age, primary site, grade, SEER stage, radiotherapy, chemotherapy, and household income were independent risk factors (Table 4), while marital status was not an independent risk factor for CSS in all patients (Figure 4). After stratification by grade and SEER stage, multivariate analysis showed that there was no significant difference in 5-year CSS between married and unmarried or divorced/separated, widowed, and single patients (Table 5); marital status was not an independent risk factor for the different grades and SEER stages in patient CSS (Figures 5 and S4).
Table 4.

Univariate and multivariate analyses of CSS rates after the 1:1 propensity score matching sample.

CharacteristicCSS
Univariate analysisMultivariate analysis[*]
HR (95% CI)p valueHR (95% CI)p value
Sex
 MaleReference
 Female0.98 (0.78–1.22)0.825
Age at diagnosis, years
 ⩽76ReferenceReference
 >761.44 (1.15–1.80)0.0021.34 (1.06–1.69)0.013
Race
 WhiteReference
 Black1.26 (0.78–2.02)0.347
 Other1.04 (0.67–1.61)0.872
Primary site
 Renal pelvisReferenceReference
 Ureter0.64 (0.47–0.88)0.0070.70 (0.51–0.96)0.028
Marital status
 MarriedReference
 Unmarried0.92 (0.73–1.14)0.441
 Divorced/separated0.79 (0.56–1.13)0.206
 Widowed0.87 (0.65–1.17)0.362
 Single1.12 (0.81–1.54)0.490
Grade
 Grade I
 Grade IIReferenceReference
 Grade III3.13 (1.88–5.20)<0.0011.84 (1.09–3.10)0.022
 Grade IV2.73 (1.66–4.49)0.0011.84 (1.10–3.05)0.019
 Unknown2.00 (1.06–3.78)0.0341.37 (0.71–2.65)0.350
SEER stage
 LocalizedReferenceReference
 Regional4.84 (2.91–8.05)<0.0014.25 (2.54–7.12)<0.001
 Distant17.46 (10.28–29.63)<0.00115.35 (8.79–26.81)<0.001
 Unstaged7.40 (2.17–25.25)0.0027.44 (2.06–26.88)0.002
Radiotherapy
 NoReferenceReference
 Yes2.86 (2.01–4.06)<0.0011.95 (1.35–2.83)<0.001
Chemotherapy
 NoReferenceReference
 Yes1.51 (1.18–1.94)0.0010.70 (0.53–0.93)0.013
Median household income
 ⩽US$43,930ReferenceReference
 >US$43,9300.79 (0.63–0.99)0.0400.80 (0.63–1.00)0.047

Model was adjusted by age, primary site, grade, SEER stage, treatment pattern, and household income.

Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated.

CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results.

Figure 4.

(a) and (b) Cancer-specific survival curves according to marital status in patients with upper tract urothelial carcinoma treated with nephroureterectomy after propensity score matching.

Table 5.

Multivariate analysis of CSS rates based on primary site in the 1:1 propensity score matching sample.

CharacteristicTotal5-year CSSCSS[*]
HR (95% CI)p value
Grade I/II
Marital status
 Married6681%Reference
 Unmarried6890%0.56 (0.21–1.52)0.254
  Divorced/separated2488%0.74 (0.21–2.65)0.643
  Widowed26100%0.960
  Single1881%1.07 (0.30–3.84)0.916
Grade III/IV
Marital status
 Married39958%Reference
 Unmarried39458%0.96 (0.76–1.22)0.732
  Divorced/separated9163%0.84 (0.56–1.25)0.386
  Widowed18760%0.94 (0.69–1.27)0.674
  Single11651%1.11 (0.78–1.56)0.570
Localized
Marital status
 Married9788%Reference
 Unmarried9493%0.62 (0.23–1.72)0.360
  Divorced/separated2692%0.80 (0.18–3.64)0.769
  Widowed4795%0.41 (0.09–1.88)0.252
  Single2190%0.89 (0.19–4.04)0.875
Regional
Marital status
 Married30864%Reference
 Unmarried30863%1.09 (0.82–1.46)0.555
  Divorced/separated8178%0.62 (0.37–0.99)0.054
  Widowed13860%1.27 (0.89–1.82)0.184
  Single8952%1.43 (0.96–2.13)0.082
Distant
Marital status
 Married9719%Reference
 Unmarried9830%0.71 (0.48–1.04)0.078
  Divorced/separated2614%1.22 (0.73–2.05)0.443
  Widowed4241%0.61 (0.39–1.01)0.063
  Single3032%0.68 (0.41–1.18)0.074

Model was adjusted by age, primary site, grade, SEER stage, treatment pattern, and household income.

Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated.

CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results.

Figure 5.

Cancer-specific survival curves of patients with upper tract urothelial carcinoma treated with nephroureterectomy according to marital status in different grades after propensity score matching. (a) and (b) Cancer-specific survival times in grade I/II patients. (c) and (d) Cancer-specific survival times in grade III/IV patients.

Univariate and multivariate analyses of CSS rates after the 1:1 propensity score matching sample. Model was adjusted by age, primary site, grade, SEER stage, treatment pattern, and household income. Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated. CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results. (a) and (b) Cancer-specific survival curves according to marital status in patients with upper tract urothelial carcinoma treated with nephroureterectomy after propensity score matching. Multivariate analysis of CSS rates based on primary site in the 1:1 propensity score matching sample. Model was adjusted by age, primary site, grade, SEER stage, treatment pattern, and household income. Grade I, well differentiated; Grade II, moderately differentiated; Grade III, poorly differentiated; Grade IV, undifferentiated. CI, confidence interval; CSS, cancer-specific survival; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results. Cancer-specific survival curves of patients with upper tract urothelial carcinoma treated with nephroureterectomy according to marital status in different grades after propensity score matching. (a) and (b) Cancer-specific survival times in grade I/II patients. (c) and (d) Cancer-specific survival times in grade III/IV patients.

Discussion

In this 12-year retrospective study, we conducted a multivariate Cox regression analysis of a large number of patients with UTUC who received NU treatment through the SEER database, and found that marital status was not an independent risk factor for CSS. After stratifying by grade and SEER stage, multivariate analysis showed that there was no significant difference in 5-year CSS between married and unmarried or divorced/separated, widowed, and single patients. In addition, marital status was still not an independent risk factor for patients with UTUC treated with NU after PSM. Marital status was widely regarded as an independent prognostic factor for many tumors.[12-15] However, the impact of marital status on the outcome of surgical patients was still a controversial topic. Wu et al.[16] investigated 13,408 patients with hepatocellular carcinoma (HCC) who underwent surgical resection and found that marital status was an independent risk factor, and widowed patients had the highest risk of death. Roubion et al.[17] investigated the relationship between marital status and prognosis of 422 patients undergoing total knee arthroplasty, and found that the overall prognosis of married patients after total knee arthroplasty was better. Wang et al.[18] collected data from 10,852 patients with UTUC from the SEER database between 1988 and 2015 and found that marital status was a predictor of overall survival and CSS in patients with UTUC, and widowed patients had the worst overall survival and CSS. These studies showed that married patients have higher survival rates than unmarried patients. In contrast, a few studies have shown that marital status does not affect the survival outcomes of surgical patients. Gatchel et al.[19] found no significant correlation between marital status and surgical outcome in a study of 1679 patients with consecutive chronically disabled work-related spinal disorders. Sorensen et al.[20] conducted a prospective study of 57 patients who underwent surgery for slipped lumbar disc and did not find that marital status could be used as an indicator of postoperative prognosis. Reyngold et al.[21] found that there was no association between marital status and overall survival or disease-free survival in patients with pancreatic cancer who received adjuvant postoperative chemotherapy followed by external radiotherapy and chemotherapy. In addition, Yan et al.[22] found that marital status had no prognostic effect on survival based on the analysis of 1581 patients with less differentiated HCC who underwent surgery between 2004 and 2015. Similar to the above studies, we found that marital status had no significant effect on the prognosis of patients with UTUC treated with NU. In addition, we also made an interesting discovery: nearly half (48.9%) of the patients included in this study were at grade IV stage. Unlike the study by Wang et al.,[18] we found that marital status is not a prognostic factor for patients with UTUC treated with NU, which may be due to the fact that most patients had a higher stage, poor prognosis, and short survival course. Despite these conflicting views about the effects of marital status on surgical outcomes, variables in each study should be considered. As most of these studies included heterogeneous cohort study, it is not possible to evaluate properly the usefulness of marital status for the prognosis. Therefore, further prospective studies are needed to investigate the effect of marital status on the prognosis of patients with UTUC treated with NU. There are limitations to be recognized in this study. First, this study was a retrospective study with obvious limitations. Second, there are no data on parenthood in the SEER database, and having supportive children might be a stronger predictor for longevity. Moreover, the specific content of surgery and other adjuvant therapy (e.g. radiotherapy, chemotherapy, immunotherapy, etc.) was not included, which are also prognostic factors for patients with UTUC.

Conclusion

Our study found that marital status had no prognostic effect on CSS for patients with UTUC treated with NU. After stratification and PSM of the primary site, marital status was still not an independent prognosis factor. Click here for additional data file. Supplemental material, sj-tif-1-tau-10.1177_1756287220981510 for Marital status does not affect the cancer-specific survival of patients with upper tract urothelial carcinoma treated with nephroureterectomy: a propensity score matching study by Weipu Mao, Jianping Wu, Keyi Wang, Bin Xu and Ming Chen in Therapeutic Advances in Urology Click here for additional data file. Supplemental material, sj-tif-2-tau-10.1177_1756287220981510 for Marital status does not affect the cancer-specific survival of patients with upper tract urothelial carcinoma treated with nephroureterectomy: a propensity score matching study by Weipu Mao, Jianping Wu, Keyi Wang, Bin Xu and Ming Chen in Therapeutic Advances in Urology Click here for additional data file. Supplemental material, sj-tif-3-tau-10.1177_1756287220981510 for Marital status does not affect the cancer-specific survival of patients with upper tract urothelial carcinoma treated with nephroureterectomy: a propensity score matching study by Weipu Mao, Jianping Wu, Keyi Wang, Bin Xu and Ming Chen in Therapeutic Advances in Urology Click here for additional data file. Supplemental material, sj-tif-4-tau-10.1177_1756287220981510 for Marital status does not affect the cancer-specific survival of patients with upper tract urothelial carcinoma treated with nephroureterectomy: a propensity score matching study by Weipu Mao, Jianping Wu, Keyi Wang, Bin Xu and Ming Chen in Therapeutic Advances in Urology
  22 in total

1.  Does Marital Status Impact Outcomes After Total Knee Arthroplasty?

Authors:  Ryan C Roubion; Rabun S Fox; Luke A Townsend; Grant R Pollock; Claudia Leonardi; Vinod Dasa
Journal:  J Arthroplasty       Date:  2016-04-27       Impact factor: 4.757

2.  Survival Comparison Between Endoscopic and Surgical Management for Patients With Upper Tract Urothelial Cancer: A Matched Propensity Score Analysis Using Surveillance, Epidemiology and End Results-Medicare Data.

Authors:  Goutham Vemana; Eric H Kim; Sam B Bhayani; Joel M Vetter; Seth A Strope
Journal:  Urology       Date:  2016-05-24       Impact factor: 2.649

3.  Are gender, marital status or parenthood risk factors for outcome of treatment for chronic disabling spinal disorders?

Authors:  Robert J Gatchel; Tom G Mayer; Cindy L Kidner; Donald D McGeary
Journal:  J Occup Rehabil       Date:  2005-06

4.  Cancer statistics, 2020.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2020-01-08       Impact factor: 508.702

Review 5.  European Association of Urology Guidelines on Upper Urinary Tract Urothelial Carcinoma: 2017 Update.

Authors:  Morgan Rouprêt; Marko Babjuk; Eva Compérat; Richard Zigeuner; Richard J Sylvester; Maximilian Burger; Nigel C Cowan; Paolo Gontero; Bas W G Van Rhijn; A Hugh Mostafid; Joan Palou; Shahrokh F Shariat
Journal:  Eur Urol       Date:  2017-09-01       Impact factor: 20.096

6.  A prospective study of the importance of psychological and social factors for the outcome after surgery in patients with slipped lumbar disk operated upon for the first time.

Authors:  L V Sørensen; O Mors; O Skovlund
Journal:  Acta Neurochir (Wien)       Date:  1987       Impact factor: 2.216

7.  The Influence of Marital Status on Contemporary Patterns of Postmastectomy Breast Reconstruction.

Authors:  Amanda R Sergesketter; Samantha M Thomas; Whitney O Lane; Ronnie L Shammas; Rachel A Greenup; Scott T Hollenbeck
Journal:  J Plast Reconstr Aesthet Surg       Date:  2018-12-15       Impact factor: 2.740

8.  The influence of marital status on stage at diagnosis and survival of patients with colorectal cancer.

Authors:  Qingguo Li; Lu Gan; Lei Liang; Xinxiang Li; Sanjun Cai
Journal:  Oncotarget       Date:  2015-03-30

9.  The effect of marital status on the survival of patients with bladder urothelial carcinoma: A SEER database analysis.

Authors:  Quan Niu; Youyi Lu; Yinxia Wu; Shigao Xu; Qun Shi; Tianbao Huang; Guangchen Zhou; Xiao Gu; Junjie Yu
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

10.  Marital Status and Survival in Patients with Penile Cancer.

Authors:  Weipu Mao; Ziwei Zhang; Xin Huang; Jie Fan; Jiang Geng
Journal:  J Cancer       Date:  2019-06-02       Impact factor: 4.207

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.