Literature DB >> 33116841

The Significance of Preoperative Serum Sodium and Hemoglobin in Outcomes of Upper Tract Urothelial Carcinoma: Multi-Center Analysis Between China and the United States.

Dong Fang1, Nirmish Singla2, Zhengqing Bao1,3, Syed M Jafri4, Xiaohong Su1, Zhenpeng Cao1, Gengyan Xiong1, Lei Zhang1, Solomon Woldu2, Ryan Hutchinson2, Arthur Sagalowsky2, Yair Lotan2, Xuesong Li1, Jay D Raman4, Vitaly Margulis2, Liqun Zhou1.   

Abstract

PURPOSE: To analyze the effect of preoperative serum sodium and hemoglobin on oncologic outcomes in upper tract urothelial carcinoma (UTUC) based on a multi-center cohort from China and the United States (U.S.).
METHODS: We retrospectively reviewed the records of 775 patients with UTUC treated surgically at tertiary care medical facilities in China or the US from 1998 to 2015. We analyzed associations of preoperative serum sodium and hemoglobin with clinicopathological characteristics, overall survival (OS), cancer-specific survival (CSS) and intravesical recurrence free survival (IVRFS).
RESULTS: The US patients had comparatively lower serum sodium and similar hemoglobin at baseline. Preoperative low serum sodium value was associated with tumor multifocality, lymph node metastasis (LNM) and lymphovascular invasion (LVI); preoperative anemia was associated with advanced age, tumor multifocality, high tumor grade and LVI. Preoperative low serum sodium was an independent predictor of worse OS in the entire cohort; preoperative anemia was an independent predictor of worse OS and CSS in the US cohort alone, Chinese cohort alone and the combined cohort. We developed a predictive nomogram for OS which exhibited better prognostic value when it included the values of sodium and anemia, and successfully validated it in different cohorts.
CONCLUSION: Preoperative low serum sodium and anemia could be informative in predicting worse pathologic and survival outcomes in different UTUC patient ethnic groups.
© 2020 Fang et al.

Entities:  

Keywords:  China; anemia; serum sodium; survival; the United States; upper tract urothelial carcinoma

Year:  2020        PMID: 33116841      PMCID: PMC7549885          DOI: 10.2147/CMAR.S267969

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Upper tract urothelial carcinoma (UTUC) is a relatively uncommon malignancy, accounting for only 5–10% of all urothelial carcinomas.1,2 Radical nephroureterectomy (RNU) with excision of the bladder cuff is the reference standard procedure for adequate local tumor control and better long-term survival for patients with bulky, high grade or invasive UTUC.3,4 Unfortunately, although surgical and medical management has improved, the 5-year cancer-specific mortality rate remains 20–30%,5,6 and 22–47% of all UTUC patients experience intravesical recurrence (IVR) after RNU,7–9 which indicates that selected patients may benefit from early systemic therapy. Given the impaired renal function after RNU, neoadjuvant chemotherapy has been recommended in recent years. Traditional prognostic factors, such as pathological tumor stage, grade, lymph node metastasis and lymphovascular invasion (LVI), are inadequate for precise risk stratification and difficult to define before surgery.3 This warrants the need for simple and effective preoperative prognostic predictors. Complete blood tests (CBT) and serum electrolytes are regularly examined prior to RNU in most centers worldwide and might provide potentially useful prognostic blood biomarkers. Studies of UTUC focusing on clinical significance of serum markers including sodium10 and serum hemoglobin11–14 provide evidence that these two factors might be associated with worse prognosis.15,16 However, these studies are limited by sample size, in addition to differences between ethnic groups. A multi-center database that included patients from China and the United States (U.S.) has been constructed and it is demonstrated that there were significant differences in clinical and pathological characteristics, and predictive models for adverse pathological outcomes.17,18 It would also be interesting to illustrate the difference in laboratory values and their prognostic significance between these two cohorts. In this study, we analyzed the relationship between preoperative serum markers, clinicopathologic characteristics, and prognosis in patients derived from a multi-center international cohort in China and the US.

Patients and Methods

Patient Enrollment and Evaluation

After approval by the institutional review board, we retrospectively reviewed the records of 775 consecutive patients diagnosed histologically with UTUC at a single tertiary care medical facility in China (n=451, 2002–2015) or at one of two tertiary care medical facilities in the US (n=324, 1998–2015). Patients with incomplete clinical data, synchronous bilateral UTUC or solitary renal units were excluded. No patients received conservative treatment before distal ureterectomy or RNU. All Chinese patients underwent standard RNU with bladder cuff resection. The indications for distal ureterectomy versus RNU in the US were based on surgical judgment and, factors including tumor size, location, likelihood of invasion, multifocality and surgeon experience. Lymphadenectomy, with tumor location dictating boundaries of node dissection, was performed when enlarged lymph nodes were found by preoperative imaging or intraoperative observation. Patient clinicopathological data, including demographics, comorbidities, preoperative imaging characteristics, serum laboratory values (estimated glomerular filtration rate [eGFR], sodium and hemoglobin) and final pathological characteristics were collected. The detailed information about the study samples is available in previous publications from the same cohort.17,18 Preoperative anemia was defined as serum hemoglobin <12 mg/dL in women and serum hemoglobin <13 mg/dL in men based on the World Health Organization classification. The cut-off value for preoperative serum sodium was set at the median value for the overall cohort of patients.19 Patients were stratified based on serum hemoglobin level and serum sodium concentration (low serum sodium vs high serum sodium relative to median and non-anemia vs anemia). Staging was assessed according to the 2002 Union for International Cancer Control TNM classification guidelines in China and the American Joint Committee on Cancer for the US cohort, and grade was assessed according to the World Health Organization 1998 consensus classification. The serum laboratory values of all patients were obtained from blood tests within 3 days before surgery. Preoperative renal function (PRF) was measured and recorded as no or mild chronic kidney disease (CKD) (eGFR≥60 mL/min/1.73 m2), CKD (60 mL/min/1.73 m2>eGFR≥15 mL/min/1.73 m2) and end-stage CKD (eGFR<15 mL/min/1.73 m2).

Follow-Up Protocol

Follow-up in China was performed every 3 to 6 months for the first 3 years and annually thereafter. Follow-up assessments for recurrence in the US were performed every 3 to 4 months in postoperative year one, semiannually in year two and annually thereafter. Assessments at these time points consisted of history and physical examination, serum chemistry, chest radiography, urinary cytology, cystoscopy and radiographic evaluation of the contralateral upper urinary tract with cross-sectional imaging. Additional imaging tests, including chest computerized tomography, magnetic resonance imaging and bone scans, were obtained as clinically indicated.17 Oncologic outcomes, including overall survival (OS), cancer-specific survival (CSS) and intravesical recurrence-free survival (IVRFS), were measured by time-to-event across all time points. And the initial point was defined as the surgery day. The cause of death was measured by death certificate, medical chart review or the treating physician. IVR in patients who did not receive prior radical cystectomy (RC) was defined as the detection of a subsequent urothelium carcinoma of the bladder (UCB) upon cystoscopy, with pathological confirmation.

Statistical Analysis

All statistical tests were performed using SPSS 22.0 (IBM Corp, Armonk, NY, USA) or R i386 2.15.3 (R Foundation for Statistical Computing, ) and statistical significance was set at p < 0.05. Pearson’s test and chi-square test were used to determine the distribution of categorical variables, and the Mann–Whitney U-test was used for continuous variables. Patients who received chemotherapy were excluded from survival analysis, and patients who underwent prior RC were excluded from IVRFS analysis. Survival curves of OS, CSS, and IVRFS were plotted using the Kaplan–Meier method and analyzed using the Log rank test. Univariable analysis was assessed using the Log rank test and multivariable analysis was evaluated using the Cox proportional hazard regression model. Nomograms and calibration plots were performed using the “rms” library in R i386 2.15.3, and discrimination was measured using Harrell’s concordance index (c-statistic). Only those variables that were identified as p < 0.1 in the univariable analysis were included in the multivariable analysis.

Result

Patient Characteristics

A total of 682 (88.0%) patients with UTUC were enrolled across all 3 institutions. The patients had complete information regarding preoperative serum sodium concentration and hemoglobin (Table 1). Preoperative serum sodium concentration ranged from 129.0 to 149.4 mEq/L, with a median of 140 mEq/L in the overall cohort which would be used to define low serum sodium in the following analysis. 44.3% (302/682) of patients had low preoperative serum sodium, and 46.2% (315/682) had preoperative anemia. The US patients had lower serum sodium concentrations compared with Chinese patients (58.9% vs 36.8%, p < 0.001). The incidence of anemia was comparable between the two cohorts (47.9% vs 45.3%, p = 0.519).
Table 1

Data of Serum Markers Stratified by Country

VariablesTotalThe U.S.Chinap value
Total patients, n775324451
Serum sodium**, n (%)682 (88.0)231 (71.3)451 (100)
≥140 mEq/L, %41.1 (95/231)63.2 (285/451)<0.001*
<140 mEq/L, %58.9 (136/231)36.8 (166/451)
Serum sodium***, mEq/L140±3.1139.0±3.0140.5±3.0<0.001*
Serum hemoglobin**, n (%)682 (88.0)236 (72.8)446 (98.9)
Non-anemia, %52.1 (123/236)54.7 (244/446)0.519
Anemia, %47.9 (113/236)45.3 (202/446)
Serum hemoglobin***, g/dL12.5±1.912.7±1.812.4±1.90.082

Notes: *Statistically significant. **The Pearson’s test and the chi-square test were used to determine the distribution of categorical variables. ***The Mann–Whitney U-test was used for continuous variables.

Data of Serum Markers Stratified by Country Notes: *Statistically significant. **The Pearson’s test and the chi-square test were used to determine the distribution of categorical variables. ***The Mann–Whitney U-test was used for continuous variables.

Associations of Preoperative Low Serum Sodium and Anemia with Clinicopathological Characteristics

and the associations of preoperative serum sodium and hemoglobin with clinicopathological characteristics, respectively. Low serum sodium concentration was assocated with Caucasian ethnicity (p < 0.001), cigarette smoking (p <0.001), greater risk of hypertension (p = 0.009), worse American statistical association (ASA) score (p = 0.017), tumor multifocality (p = 0.024), presence of LVI (p = 0.045) and presence of N1 (compared to Nx/N0, p = 0.004) in the entire cohort, and specifically non-Caucasian ethnicity (p = 0.033) and worse ASA score (p = 0.031) in American patients, as well as better ASA score (p = 0.023) and worse PRF (p = 0.038) in Chinese patients. In addition, anemia was associated with advanced age (p < 0.001), lower body mass index (BMI) (p = 0.011), worse ASA score (p < 0.001), greater risk of diabetes mellitus (p = 0.013) or hypertension (p = 0.025), worse PRF (p <0.001), tumor multifocality (p = 0.005), high tumor grade (p = 0.012) and presence of LVI (p = 0.041) in the entire cohort. Anemia was associated with non-Caucasian ethnicity (p = 0.026), lower BMI (p = 0.021), worse ASA score (p = 0.001), worse PRF (p <0.001) and presence of LVI (p = 0.030) in American patients. In Chinese patients, anemia was associated with advanced age (p < 0.001), lower BMI (p = 0.044), worse ASA score (p < 0.001), worse PRF (p < 0.001), greater risk of diabetes mellitus (p = 0.022) or hypertension (p =0.042), tumor multifocality (p = 0.026) and high tumor grade (p = 0.015).

Survival Analysis

The median follow-up in China was significantly longer compared with the US, as previously reported,15 and US patients more frequently experienced IVR with a shorter duration to relapse and had worse OS. CSS and IVRFS were comparable in both countries. Kaplan–Meier curves revealed that patients with preoperative low serum sodium had better IVRFS (p = 0.009) in the US, but worse OS (p = 0.018) in the entire cohort (Figure 1). Univariable Cox analysis found that preoperative low serum sodium was associated with improved IVRFS (HR 0.546, 95% CI 0.343–0.868, p = 0.011) in the US (Table 2), and worse OS (HR 1.417, 95% CI 1.067–1.833, p = 0.016) in the entire cohort (Table 3). Multivariable Cox analysis further confirmed that preoperative low serum sodium was an independent predictor of worse OS (HR 1.396, 95% CI 1.043–1.868, p = 0.025) in the entire cohort (Table 3), but better IVRFS (HR 0.474, 95% CI 0.288–0.781, p = 0.003) in the US cohort (Table 2).
Figure 1

Oncologic outcomes for patients stratified by preoperative serum sodium level. OS, CSS, and IVRFS are shown for (A–C) the US, (D–F) China, and (G–I) both cohorts together. The dots represent censored observations.

Table 2

Univariable and Multivariable Analyses of the Correlations Between Preoperative Low Serum Sodium/Anemia and IVRFS in UTUC Patients

VariablesEntire PatientsU.S.China
Univariable AnalysesMultivariable AnalysesUnivariable AnalysesMultivariable AnalysesUnivariable AnalysesMultivariable Analyses
HR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), p
Age, ≥70 vs <701.208 (0.998–1.463), 0.0521.251 (1.028–1.522), 0.025*1.135 (0.769–1.674), 0.5241.301 (1.037–1.631), 0.023*1.279 (1.017–1.607), 0.035*
Gender, Male vs Female0.957 (0.789–1.160), 0.6520.930 (0.620–1.393), 0.7240.941 (0.749–1.182), 0.603
BMI, ≥25.5 vs <25.50.880 (0.725–1.068), 0.1940.728 (0.459–1.154), 0.1770.864 (0.684–1.091), 0.220
PRF, eGFR≥60 vs eGFR<601.030 (0.847–1.252), 0.7670.964 (0.650–1.430), 0.8550.968 (0.768–1.220), 0.784
Hydronephrosis, Yes vs No1.388 (1.142–1.688), 0.001*1.341 (1.099–1.640), 0.004*1.432 (0.943–2.177), 0.0921.315 (0.789–2.189), 0.2931.402 (1.116–1.761), 0.004*1.387 (1.101–1.774), 0.005*
Tumor stage, Ta–1 vs T2–41.139 (0.939–1.381), 0.1861.313 (0.883–1.952), 0.1781.079 (0.853–1.365), 0.525
Tumor grade, High vs Low1.663 (1.160–2.385), 0.006*1.572 (1.075–2.301), 0.020*1.793 (1.122–2.866), 0.015*2.205 (1.115–4.359), 0.023*1.678 (0.746–3.773), 0.211
Nodal status, N0/Nx vs N11.688 (1.051–2.079), 0.030*1.496 (0.877–2551), 0.1391.655 (0.522–5.251), 0.3921.623 (0.965–2.731), 0.0681.786 (1.059–3.014), 0.030*
LVI, Yes vs No1.428 (1.067–1.911), 0.016*1.243 (0.908–1.700), 0.1752.301 (1.387–3.818), 0.001*1.440 (0.818–2.537), 0.2061.040 (0.716–1.510), 0.838
Multifocality, Yes vs No1.009 (0.700–1.455), 0.9611.037 (0.686–1.569), 0.8620.889 (0.672–1.178), 0.413
Anemia, Yes vs No0.990 (0.808–1.212), 0.9200.998 (0.627–1.591), 0.9941.109 (0.877–1.402), 0.388
Serum sodium, ≥140 vs <1401.143 (0.936–1.395), 0.1860.546 (0.343–0.868), 0.011*0.474 (0.288–0.781), 0.003*1.150 (0.918–1.440), 0.226

Note: *Statistically significant.

Abbreviations: BMI, body mass index; PRF, preoperative renal function; eGFR, estimated glomerular filtration rate; LVI, lymphovascular invasion.

Table 3

Univariable and Multivariable Analyses of the Correlations Between Preoperative Low Serum Sodium/Anemia and OS in UTUC Patients

VariablesEntire PatientsU.S.China
Univariable AnalysesMultivariable AnalysesUnivariable AnalysesMultivariable AnalysesUnivariable AnalysesMultivariable Analyses
HR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), p
Age, ≥70 vs <701.583 (1.212–2.068), 0.001*1.560 (1.155–2.107), 0.004*1.621 (0.988–2.658), 0.0562.034 (0.983–4.208), 0.0561.581 (1.141–2.190), 0.006*1.470 (1.045–2.068), 0.027*
Gender, Male vs Female1.391 (1.063–1.821), 0.016*1.606 (1.186–2.175), 0.002*0.991 (0.602–1.629), 0.9701.516 (1.097–2.094), 0.012*1.516 (1.080–2.128), 0.016*
BMI, ≥25.5 vs <25.51.014 (0.772–1.332), 0.9220.785 (0.447–1.378), 0.3991.008 (0.724–1.403), 0.965
PRF, eGFR≥60 vs eGFR<601.628 (1.242–2.134), <0.001*1.131 (0.822–1.556), 0.4501.765 (1.066–2.923), 0.027*0.856 (0.407–1.800), 0.6821.502 (1.083–2.084), 0.015*1.179 (0.815–1.705), 0.381
Hydronephrosis, Yes vs No1.633 (1.237–2.157), 0.001*1.553 (1.132–2.130), 0.006*2.215 (1.325–3.703), 0.002*2.283 (1.101–4.735), 0.026*1.604 (1.145–2.248), 0.006*1.372 (0.956–1.967), 0.086
Tumor stage, Ta–1 vs T2–42.105 (1.572–2.818), <0.001*1.959 (1.373–2.794), <0.001*2.727 (1.692–4.395), <0.001*1.879 (0.840–4.205), 0.1252.254 (1.516–3.350), <0.001*2.134 (1.417–3.214), <0.001*
Tumor grade, High vs Low1.634 (1.004–2.659), 0.048*1.534 (0.702–3.351), 0.2831.820 (1.022–3.240), 0.042*1.578 (0.568–4.384), 0.3813.062 (0.756–12.40), 0.117
Nodal status, N0/Nx vs N13.274 (1.899–5.643), <0.001*2.285 (1.173–4.452), 0.015*5.109 (2.177–11.99), <0.001*2.527 (0.790–8.083), 0.1182.045 (1.294–3.409), 0.008*2.267 (1.091–4.712), 0.028*
LVI, Yes vs No2.087 (1.445–3.013), <0.001*1.148 (0.719–1.833), 0.5623.756 (2.151–6.557), <0.001*1.547 (0.688–3.480), 0.2911.283 (0.762–2.160), 0.348
Multifocality, Yes vs No1.231 (0.920–1.646), 0.1611.359 (0.822–2.248), 0.2321.106 (0.769–1.591), 0.588
Serum sodium, <140 vs ≥1401.417 (1.067–1.883), 0.016*1.469 (1.091–1.979), 0.011*1.275 (0.638–2.547), 0.4921.351 (0.977–1.870), 0.0691.321 (0.945–1.847), 0.103
Anemia, Yes vs No1.886 (1.411–2.522), <0.001*1.791 (1.296–2.477), <0.001*2.655 (1.425–4.945), 0.002*2.804 (1.421–5.534), 0.003*1.696 (1.219–2.359), 0.002*1.605 (1.110–2.320), 0.012*

Note: *Statistically significant.

Abbreviations: BMI, body mass index; PRF, preoperative renal function; eGFR, estimated glomerular filtration rate; LVI, lymphovascular invasion.

Univariable and Multivariable Analyses of the Correlations Between Preoperative Low Serum Sodium/Anemia and IVRFS in UTUC Patients Note: *Statistically significant. Abbreviations: BMI, body mass index; PRF, preoperative renal function; eGFR, estimated glomerular filtration rate; LVI, lymphovascular invasion. Univariable and Multivariable Analyses of the Correlations Between Preoperative Low Serum Sodium/Anemia and OS in UTUC Patients Note: *Statistically significant. Abbreviations: BMI, body mass index; PRF, preoperative renal function; eGFR, estimated glomerular filtration rate; LVI, lymphovascular invasion. Oncologic outcomes for patients stratified by preoperative serum sodium level. OS, CSS, and IVRFS are shown for (A–C) the US, (D–F) China, and (G–I) both cohorts together. The dots represent censored observations. Kaplan–Meier curves revealed that patients with preoperative anemia had worse OS and CSS (all p < 0.05) in the US cohort, Chinese cohort and the entire cohort (Figure 2). Univariable Cox analysis revealed that preoperative anemia was related to poor survival outcomes in the US cohort (OS: HR 2.728, 95% CI 1.470–5.061, p = 0.001; CSS: HR 2.256, 95% CI 1.075–4.737, p = 0.002), Chinese cohort (OS: HR 1.696, 95% CI 1.219–2.359, p = 0.002; CSS: HR 1.652, 95% CI 1.161–2.350, p = 0.005), and the entire cohort (OS: HR 1.902, 95% CI 1.423–2.541, p < 0.001; CSS: HR 1.761, 95% CI 1.282–2.418, p < 0.001) (Tables 3 and 4). Multivariable Cox analysis further revealed that preoperative anemia was an independent predictor of worse OS and CSS in the US cohort (OS: HR 2.849, 95% CI 1.448–5.605, p = 0.002; CSS: HR 2.493, 95% CI 1.112–5.589, p = 0.027), Chinese cohort (OS: HR 1.614, 95% CI 1.119–2.328, p = 0.010; CSS: HR 1.646, 95% CI 1.112–2.437, p = 0.013), and the entire cohort (OS: HR 1.761, 95% CI 1.282–2.418, p < 0.001; CSS: HR 1.744, 95% CI 1.228–2.478, p = 0.002) (Tables 3 and 4).
Figure 2

Oncologic outcomes for patients stratified by preoperative anemia. OS, CSS, and IVRFS are shown for (A–C) the US, (D–F) China, and (G–I) both cohorts together. The dots represent censored observations.

Table 4

Univariable and Multivariable Analyses of the Correlations Between Preoperative Low Serum Sodium/Anemia and CSS in UTUC Patients

VariablesEntire PatientsU.S.China
Univariable AnalysesMultivariable AnalysesUnivariable AnalysesMultivariable AnalysesUnivariable AnalysesMultivariable Analyses
HR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), pHR (95% CI), p
Age, ≥70 vs <701.464 (1.082–1.980), 0.013*1.517 (1.090–2.110), 0.013*1.843 (0.946–3.590), 0.0723.343 (1.236–9.040), 0.017*1.478 (1.043–2.094), 0.028*1.380 (0.958–1.988), 0.084
Gender, Male vs Female1.482 (1.091–2.013), 0.012*1.807 (1.298–2.515), <0.001*1.219 (0.617–2.407), 0.5681.642 (1.162–2.322), 0.005*1.635 (1.136–2.352), 0.008*
BMI, ≥25.5 vs <25.51.020 (0.751–1.386), 0.8970.924 (0.433–1.975), 0.8391.112 (0.784–1.577), 0.552
PRF, eGFR≥60 vs eGFR<601.557 (1.147–2.113), 0.005*1.124 (0.794–1.692), 0.4712.167 (1.094–4.290), 0.027*0.768 (0.297–1.988), 0.5871.444 (1.017–2.050), 0.040*1.135 (0.765–1.684), 0.529
Hydronephrosis, Yes vs No1.951 (1.422–2.678), <0.001*1.615 (1.135–2.296), 0.008*3.547 (1.829–6.879), <0.001*3.375 (1.304–8.736), 0.012*1.642 (1.144–2.356), 0.007*1.420 (0.966–2.088), 0.074
Tumor stage, Ta–1 vs T2–43.062 (2.1134–4.393), <0.001*2.185 (1.460–3.269), <0.001*5.647 (2.855–11.17), <0.001*1.974 (0.719–5.419), 0.1872.407 (1.565–3.701), 0.010*2.269 (1.454–3.543), <0.001*
Tumor grade, High vs Low3.915 (1.729–8.863), 0.001*2.011 (0.728–5.559), 0.1784.184 (1.484–11.80), 0.007*2.916 (0.617–13.78), 0.1772.639 (0.651–10.70), 0.174
Nodal status, N0/Nx vs N13.614 (2.003–6.522), <0.001*2.064 (0.997–4.276), 0.0516.760 (2.605–17.54), <0.001*2.393 (0.620–9.234), 0.2052.656 (1.236–5.704), 0.012*2.211 (1.012–4.831), 0.047*
LVI, Yes vs No2.295 (1.537–3.427), <0.001*1.217 (0.734–2.016), 0.4465.036 (2.581–9.828), <0.001*1.528 (0.605–3.862), 0.3701.388 (0.808–2.382), 0.235
Multifocality, Yes vs No1.229 (0.886–1.705), 0.2171.237 (0.643–2.379), 0.5241.183 (0.807–1.733), 0.390
Serum sodium, ≥140 vs <1401.262 (0.924–1.724), 0.1440.822 (0.378–1.787), 0.6211.363 (0.946–1.928), 0.0801.320 (0.923–1.889), 0.128
Anemia, Yes vs No1.742 (1.268–2.394), 0.001*1.726 (1.214–2.455), 0.002*2.153 (1.017–4.558), 0.045*2.506 (1.107–5.673), 0.028*1.652 (1.161–2.350), 0.005*1.639 (1.104–2.432), 0.014*

Note: *Statistically significant.

Abbreviations: BMI, body mass index; PRF, preoperative renal function; eGFR, estimated glomerular filtration rate; LVI, lymphovascular invasion.

Univariable and Multivariable Analyses of the Correlations Between Preoperative Low Serum Sodium/Anemia and CSS in UTUC Patients Note: *Statistically significant. Abbreviations: BMI, body mass index; PRF, preoperative renal function; eGFR, estimated glomerular filtration rate; LVI, lymphovascular invasion. Oncologic outcomes for patients stratified by preoperative anemia. OS, CSS, and IVRFS are shown for (A–C) the US, (D–F) China, and (G–I) both cohorts together. The dots represent censored observations. We have also tried to re-run the dataset by different method of serum sodium categorizations, such as using 136 mEq/L, or use different medians in two cohorts (140.9 mEq/L for Chinese patients and 139 mEq/L for US patients) and found similar results (data not shown).

Risk Classification

Because preoperative low serum sodium and anemia were independent risk factors for OS in the entire cohort, we constructed a nomogram based on the multivariable analysis. As shown in Figure 3A, the model including laboratory values had a c-statistics of 0.708. The calibration curve of internal validation was effective (Figure 3B). Validations in the US cohort (Figure 3C) and in the Chinese cohort (Figure 3D) were also performed and the c-statistics were 0.724 and 0.698, respectively. We also constructed a nomogram that excluded those two factors (Figure 3E) and observed a significantly lower c-statistic of 0.681.
Figure 3

Predictive model for OS: nomogram (A), calibration plot (B), calibration plots in the validation of US cohorts (C) and Chinese cohorts (D), nomogram of the model without information of serum sodium or hemoglobin (E). In nomograms the survival rate was evaluated at 3 years, 5 years and 10 years. In calibration plots survival was evaluated at 3 years.

Predictive model for OS: nomogram (A), calibration plot (B), calibration plots in the validation of US cohorts (C) and Chinese cohorts (D), nomogram of the model without information of serum sodium or hemoglobin (E). In nomograms the survival rate was evaluated at 3 years, 5 years and 10 years. In calibration plots survival was evaluated at 3 years.

Discussion

Based on a large multi-institutional international database of UTUC patients, we analyzed the correlation between preoperative serum markers (sodium and hemoglobin), clinical and pathological characteristics, and prognosis. We found that the US patients had lower baseline serum sodium and comparable hemoglobin compared with Chinese patients. Our results revealed that preoperative low serum sodium was an independent predictor of worse OS in the entire cohort. Preoperative anemia was an independent predictor of worse OS and CSS in the US cohort, Chinese cohort and the entire cohort. Serum sodium and hemoglobin are easily measured and routinely examined, which makes them superior to other preoperative pathologic predictors. Preoperative low serum sodium––a common tumor-related electrolyte disturbance––is associated with poor outcomes in cancer patients.20,21 Previous studies of renal cell carcinoma demonstrated that preoperative serum sodium levels below the median value were associated with poor OS.22,23 In UCB, preoperative serum sodium levels of ≤139 mEq/L were associated with a poor prognosis.19 A study of 139 UTUC patients reported that patients with a median serum sodium concentration below 141 mEq/L had a higher rate of LVI (p = 0.039) and predicted a poor survival.10 Meanwhile, previous multi-center studies also indicated that low preoperative serum sodium was associated with poor prognosis.15,16 These findings were in accordance with our results. In the present study, the cut-off value of preoperative serum sodium was set at the median value of 140 mEq/L, which was in accordance with previous studies.15,16 Preoperative low serum sodium value was related to the presence of LVI and independently predicted a worse OS in the entire cohort. In the present study, 46.2% of patients had preoperative anemia, which is consistent with 39.6–65.4% reported in previous studies.11–14 Preoperative anemia was related to tumor multifocality, high tumor grade and presence of LVI. Moreover, it was an independent risk factor for OS and CSS in UTUC patients treated with distal ureterectomy or RNU. Our findings validate those in previous studies that preoperative anemia was associated with unfavorable pathological factors and poor oncologic outcomes.11–14,16 A low sodium level within the normal range is unlikely to cause poor outcomes in UTUC patients. The mechanisms responsible for decreased serum sodium and the association between preoperative sodium level below the median value and poorer outcomes remain unknown. Chronic inflammation mediated by pro-inflammatory cytokines including interleukin 6 (IL-6) is associated with decreased serum sodium.24 In experimental and clinical studies, IL-6 might induce neutrophilia and stimulate the excessive release of antidiuretic hormone (ADH), resulting in decreased serum sodium.22,25 In addition, excessive release of ADH may be mediated by the high tumor burden, which can consequently worsen survival outcomes.26 The presence of anemia can aggravate hypoxia in the cancer cell microenvironment, enhance malignant growth and provide a physiological pressure to cancer cells that have lost their apoptotic potential.27 In addition, accumulation of HIF-1αinduced by hypoxia is related to poor outcomes in UTUC.28 Patients with preoperative anemia have increased plasma vascular endothelial growth factor levels, which may promote angiogenesis in tumors.29 Preoperative anemia is associated with aggressive tumor biological features that traditionally serve as poor prognostic factors in UTUC. However, the mechanisms underlying the direct association of preoperative anemia with poorer outcomes remain unclear. Unlike those relatively unmodifiable prognostic factors, preoperative low serum sodium and anemia may be amenable to correction. Options for sodium supplementation include oral replacement with sodium bicarbonate tablets and vasopressin receptor antagonists.30 Options for correcting anemia include transfusions, erythropoiesis-stimulating agents and iron supplementations. However, whether the correction of preoperative low serum sodium and anemia could improve survival after surgery remains unknown. Prospective evaluation is warranted. The present retrospective study would bring information for clinics and works as a fundamental for more multi-center study regarding UTUC in the future. There are some limitations to our study. First, given its retrospective nature, some variables of interest, such as systemic recurrence data, C-reactive protein or aristolochic acid use and dose were not evaluated. Second, as in multi-center analyses, screening guidelines, management patterns and surgical techniques were not standardized and there was a lack of central pathology review, which may have affected histologic interpretation and accuracy of clinical staging between the US and China; however, we have negotiated with the method for laboratory tests and there is a solid foundation for our cooperation about UTUC. Furthermore, the exclusion of patients who received chemotherapy might bring selection bias in two different cohorts. Therefore, the generalizability of our results needs to be validated by larger multi-institutional cohort from the US and China.

Conclusion

Preoperative low serum sodium and anemia could be informative in predicting worse pathological and survival outcomes in different UTUC patient ethnic groups. This information may help in the selection of patients for receipt of chemotherapy and patient counseling.
  30 in total

1.  A Multi-Institutional Comparison of Clinicopathological Characteristics and Oncologic Outcomes of Upper Tract Urothelial Carcinoma in China and the United States.

Authors:  Nirmish Singla; Dong Fang; Xiaohong Su; Zhengqing Bao; Zhenpeng Cao; Syed M Jafri; Gengyan Xiong; Lei Zhang; Ryan Hutchinson; Arthur Sagalowsky; Yair Lotan; Xuesong Li; Liqun Zhou; Jay D Raman; Vitaly Margulis
Journal:  J Urol       Date:  2016-11-22       Impact factor: 7.450

2.  IL-6 plays an essential role in neutrophilia under inflammation.

Authors:  Misato Hashizume; Yoshinobu Higuchi; Yasushi Uchiyama; Masahiko Mihara
Journal:  Cytokine       Date:  2011-02-02       Impact factor: 3.861

3.  Prediction of cancer specific survival after radical nephroureterectomy for upper tract urothelial carcinoma: development of an optimized postoperative nomogram using decision curve analysis.

Authors:  Morgan Rouprêt; Vincent Hupertan; Thomas Seisen; Pierre Colin; Evanguelos Xylinas; David R Yates; Harun Fajkovic; Yair Lotan; Jay D Raman; Richard Zigeuner; Mesut Remzi; Christian Bolenz; Giacomo Novara; Wassim Kassouf; Adil Ouzzane; François Rozet; Olivier Cussenot; Juan I Martinez-Salamanca; Hans-Martin Fritsche; Thomas J Walton; Christopher G Wood; Karim Bensalah; Pierre I Karakiewicz; Francesco Montorsi; Vitaly Margulis; Shahrokh F Shariat
Journal:  J Urol       Date:  2012-10-24       Impact factor: 7.450

4.  Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours.

Authors:  T G Graeber; C Osmanian; T Jacks; D E Housman; C J Koch; S W Lowe; A J Giaccia
Journal:  Nature       Date:  1996-01-04       Impact factor: 49.962

5.  Impact of preoperative anemia on oncologic outcomes of upper tract urothelial carcinoma treated with radical nephroureterectomy.

Authors:  Michael Rink; Nasim Sharifi; Hans-Martin Fritsche; Atiqullah Aziz; Florian Miller; Luis A Kluth; Theofanis Ngamsri; Roland Dahlem; Felix K Chun; Shahrokh F Shariat; Arnulf Stenzl; Margit Fisch; Georgios Gakis
Journal:  J Urol       Date:  2013-09-12       Impact factor: 7.450

6.  Outcomes of radical nephroureterectomy: a series from the Upper Tract Urothelial Carcinoma Collaboration.

Authors:  Vitaly Margulis; Shahrokh F Shariat; Surena F Matin; Ashish M Kamat; Richard Zigeuner; Eiji Kikuchi; Yair Lotan; Alon Weizer; Jay D Raman; Christopher G Wood
Journal:  Cancer       Date:  2009-03-15       Impact factor: 6.860

7.  The impact of low serum sodium on treatment outcome of targeted therapy in metastatic renal cell carcinoma: results from the International Metastatic Renal Cell Cancer Database Consortium.

Authors:  Fabio A B Schutz; Wanling Xie; Frede Donskov; Monica Sircar; David F McDermott; Brian I Rini; Neeraj Agarwal; Sumanta Kumar Pal; Sandy Srinivas; Christian Kollmannsberger; Scott A North; Lori A Wood; Ulka Vaishampayan; Min-Han Tan; Mary J Mackenzie; Jae Lyun Lee; Sun-Young Rha; Takeshi Yuasa; Daniel Y C Heng; Toni K Choueiri
Journal:  Eur Urol       Date:  2013-10-26       Impact factor: 20.096

8.  Conditional survival after radical nephroureterectomy for upper tract carcinoma.

Authors:  Guillaume Ploussard; Evanguelos Xylinas; Yair Lotan; Giacomo Novara; Vitaly Margulis; Morgan Rouprêt; Kazumasa Matsumoto; Pierre I Karakiewicz; Francesco Montorsi; Mezut Remzi; Christian Seitz; Douglas S Scherr; Anil Kapoor; Adrian S Fairey; Ricardo Rendon; Jonathan Izawa; Peter C Black; Louis Lacombe; Shahrokh F Shariat; Wassim Kassouf
Journal:  Eur Urol       Date:  2014-08-19       Impact factor: 20.096

9.  The occurrence of hyponatremia and its importance as a prognostic factor in a cross-section of cancer patients.

Authors:  Jorge J Castillo; Ilya G Glezerman; Susan H Boklage; Joseph Chiodo; Beni A Tidwell; Lois E Lamerato; Kathy L Schulman
Journal:  BMC Cancer       Date:  2016-07-29       Impact factor: 4.430

10.  Impact of serum sodium concentration on survival outcomes in patients with invasive bladder cancer without metastasis treated by cystectomy.

Authors:  Wataru Nakata; Gaku Yamamichi; Go Tsujimura; Yuichi Tsujimoto; Mikio Nin; Masao Tsujihata
Journal:  Int J Urol       Date:  2018-12-02       Impact factor: 3.369

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  2 in total

1.  The Evolution of Clinicopathological Diagnostic Features of Upper Tract Urothelial Carcinoma in China: A Summary of 2561 Cases in the Last 20 Years.

Authors:  Chunru Xu; Changwei Yuan; Cuijian Zhang; Dong Fang; Yanfei Yu; Xiang Wang; Zhihua Li; Yan Wang; Qi Tang; Gengyan Xiong; Lei Zhang; Zhisong He; Jian Lin; Liqun Zhou; Xuesong Li
Journal:  Front Oncol       Date:  2022-03-09       Impact factor: 6.244

2.  A Systematic Review and Meta-Analysis of Prognostic Nomograms After UTUC Surgery.

Authors:  Maximilian Pallauf; Frederik König; David D'Andrea; Ekaterina Laukhtina; Hadi Mostafaei; Reza Sari Motlagh; Fahad Quhal; Abdulmajeed Aydh; Takafumi Yanagisawa; Tatsushi Kawada; Pawel Rajwa; Lukas Lusuardi; Francesco Soria; Pierre I Karakiewicz; Morgan Rouprêt; Michael Rink; Yair Lotan; Vitaly Margulis; Nirmish Singla; Evanguelos Xylinas; Shahrokh F Shariat; Benjamin Pradere
Journal:  Front Oncol       Date:  2022-07-01       Impact factor: 5.738

  2 in total

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