The prognostic value of pretreatment of systemic inflammatory responses in patients with urothelial carcinoma undergoing radical cystectomy.

BACKGROUND: Systemic inflammatory response (SIR) is important in the relationship between the tumour, the host, and outcome in cancer patients. However, limited data exist regarding the prognostic significance of SIR in bladder cancer. We investigate the utility of pretreatment SIR in patients with urothelial carcinoma undergoing radical cystectomy.
METHODS: The study cohort consisted of 419 patients with a median follow-up of 37.7 months. The SIRs used for each described prognostic nomogram are consistent with previously published data: C-reactive protein, albumin, white cell count, neutrophil count, lymphocyte count, and platelet count. Primary end point was disease-specific survival (DSS) and overall survival (OS) after surgery. Cox regression models were used to determine the time to disease-specific and overall mortality. Multivariate regression coefficients of the predictors were used to develop nomograms for predicting 5-year DSS and OS probability.
RESULTS: Multivariate Cox regression analyses revealed that albumin, lymphocyte count, and platelet count were significantly associated with a significantly increased risk for death from bladder cancer. The nomograms including each index were developed to predict the probability of 5-year DSS and OS after radical cystectomy. The C statistics were 77.8% and 77.3%, respectively, and exceeded the 2002 AJCC (72.0% and 70.3%, respectively). In the decision curve analyses, the nomograms including SIR demonstrated higher net benefit gains compared with the models without SIR.
CONCLUSIONS: Cellular components of SIR have better prognostic values compared with acute-phase protein in patients undergoing radical cystectomy for bladder cancer.

Radical cystectomy is the gold standard treatment for patients with high-risk non-muscle invasive or muscle-invasive bladder cancer. Despite this aggressive local approach, survival after surgery is highly dependent on the pathologic stage at the time of radical cystectomy. In patients with locally advanced disease, 5-year survival rates range from 26% to 64% (Stein ). These poor outcomes highlight the need for continued advancements in risk stratification and proper selection of multimodal treatment approaches. However, risk stratification based on clinicopathological data alone is unlikely to be sufficient for optimal treatment decision-making (Canter ). Lack of efficient prognostic biomarkers may be partly responsible for the high mortality rates caused by cancer. Therefore, novel prognostic markers and preoperative prediction models must improve the current ability to predict bladder cancer outcomes.

Increasing evidence supports the involvement of systemic inflammation in cancer development and progression (Mantovani ). The systemic inflammatory response (SIR) is of considerable importance in the relationship between the tumour, the host, and outcome in patients with cancer. However, limited data exist regarding the potential prognostic significance of SIR in bladder cancer. We evaluated the prognostic significance of preoperative SIR and propose a novel risk prediction model in patients with urothelial carcinoma undergoing radical cystectomy.

Materials and methods

The Institutional Review Board at our institution approved this study. We reviewed the electronic medical records for 433 patients who underwent radical cystectomy and pelvic lymphadenectomy for bladder cancer at Seoul National University Hospital from 1999 through 2011. Patients were excluded from the final analysis for the following reasons: pathological cell types other than urothelial cell carcinoma, established distant metastasis at radical cystectomy, and incomplete data.

Routine laboratory measurements were preoperatively performed. The coefficient of variation for these methods, over the range of measurement, was less than 5% as established by quality control procedures. The SIR used for each described prognostic nomogram is consistent with previously published literature: C-reactive protein (CRP), albumin, white cell count, neutrophil count, lymphocyte count, and platelet count. Glasgow prognostic score (GPS) (Forrest ), modified GPS (mGPS) (McMillan, 2008), prognostic index (PI) (Kasymjanova ), Onodera's Prognostic Nutritional Index (PNI) (Onodera ), platelet/lymphocyte ratio (PLR) (Hwang ), neutrophil/lymphocyte ratio (NLR) (Al Murri ), and derived NLR (dNLR) (Proctor ) were also constructed as described in Supplementary Table S1.

Surgical specimens were processed by a staff surgical pathologist at our institution according to standard procedures. Pathologic stage was assigned based on the 2002 American Joint Committee on Cancer (AJCC) staging system. Tumour grade was assessed according to the 2004 World Health Organization (WHO)/International Society of Urologic Pathology consensus classifications. Lymphovascular invasion was defined as the unequivocal presence of tumour cells in an endothelium-lined space without underlying muscular walls. Positive margin status was defined as tumour presence at linked areas of soft tissue on the surgical specimen.

Patients were followed every 3–4 months for the first 2 years, every 6 months for the third and the fourth year, and annually thereafter. Follow-up consisted of physical examinations, serum chemistry evaluations, chest X-rays, renal ultrasound, and/or computed tomography scans. Details of the evaluation, surgery, pathologic review, and follow-up of these patients were previously described (Moon ).

The primary end point was disease-specific survival (DSS) and overall survival (OS) after radical cystectomy. DSS was defined as the time from radical cystectomy to death from bladder cancer. The treating physicians determined the cause of death by chart review corroborated by death certificates, or by death certificates alone. Patient data were censored at the last follow-up or death if the event of interest had not been attained. All patients who were determined to have died of bladder cancer had progressive and widely disseminated metastases at the time of death. Peri-operative deaths occurring within 30 days of surgery were censored at the time of death for DSS analyses.

Cox regression models were used to determine the time to disease-specific mortality and all-cause mortality after radical cystectomy. All variables that were significant in univariate analyses were included in multivariate Cox's proportional hazards model. Multivariate regression coefficients of the predictor variables were used to develop nomograms. Proportional hazards assumptions were systemically verified using the Grambsch-Therneau residual based test (Grambsch ).

To evaluate nomogram performance, we assessed both discrimination and calibration of these models. The discriminative ability of the model was quantitatively measured using the C statistic (Harrell ). We used bootstrapping to obtain a relatively unbiased estimate. Confidence intervals (CIs) were obtained by creating 1000 bootstrap samples from the entire data set and replicating the estimation process. Discrimination of the nomograms was compared against that of the AJCC staging system. In the second step of the validation process, the relationship between the model-derived and actuarial outcome was graphically explored within calibration plots to explore nomogram performance. In the calibration plot, the 45-degree line represents perfect predictions. The validation was performed using 200 bootstrap resamples to decrease overfit bias. We conducted a decision curve analysis to assess the clinical usefulness of the prediction nomograms (Vickers and Elkin, 2006). Decision curve analysis evaluates the clinical net benefit of prediction models by summing the benefits (true positives) and subtracting the harms (false positives).

All statistical tests were performed using R 2.13.0 (R Development Core Team, Vienna, Austria, http://www.R-project.org) and SPSS software (SPSS, Chicago, IL, USA). Two-sided P values <0.05 were considered statistically significant.

Results

The final study cohort consisted of 419 patients with a median follow-up of 37.7 months (interquartile range : 20.5–70.7 months, range: 0.1–176.2 months). The median age at the time of cystectomy was 65.1 years (interquartile range: 58.3–70.4 years), and 362 (86.4%) patients were male. Overall, 177 patients (42.3%) had pT3/4 disease and 95 (22.7%) had lymph node metastases. In total, 205 (48.9%) had (⩾pT3/Nany or pTany/N+) disease. Table 1 describes the cohort characteristics. Overall, 133 patients (31.7%) died; of these, 98 (23.3%) died of bladder cancer. Actuarial OS probabilities were 80.6% (95% CI, 76.7–84.5%), 64.4% (95% CI, 59.1–69.7%), and 60.0% (95% CI, 54.1–65.9%) at 2, 5, and 8 years after cystectomy, respectively. Actuarial DSS probabilities were 84.7% (95% CI, 81.2–88.2%), 71.9% (95% CI, 66.8–77.0%), and 68.3% (95% CI, 62.6–74.0%) at 2, 5, and 8 years after cystectomy, respectively.

Table 1

Patient characteristics

Variables
Clinical
Gender (male/female)	362 (86.4)/57 (13.6)
Age, year (median, interquartile range)	65.1, 58.3–70.4
Body mass index, cm kg−2 (median, interquartile range)	23.3, 21.1–25.1
American Society of Anesthesiologists score (1/2/3/4)	178 (42.5)/218 (52.0)/21 (5.0)/2 (0.5)
Year of surgery (1999–2006/2007–2011)	145 (34.6)/274 (65.4)
Pathological
Pathologic T stage (pT0/a/is/1/2/3/4)	55 (13.1)/14 (3.3)/35 (8.4)/69 (16.5)/69 (16.5)/111 (26.5)/66 (15.8)
Tumour grade (G0/low grade/high grade)	55 (13.1)/17 (4.1)/347 (82.8)
Lymphovascular invasion (absent/present)	279 (66.6)/140 (33.4)
Margin status (negative/positive)	386 (92.1)/33 (7.9)
Lymph node stage (N0/1/2/3)	324 (77.3)/36 (8.6)/49 (11.7)/10 (2.4)
Inflammatory
C-reactive protein, mg l−1 (median, interquartile range)	3.5, 1.0–10.7
Albumin, g l−1 (median, interquartile range)	41.0, 38.0–44.0
White cell count, 109 l−1 (median, interquartile range)	6.2, 5.1–7.9
Neutrophil count, 109 l−1 (median, interquartile range)	3.6, 2.8–4.8
Lymphocyte count, 109 l−1 (median, interquartile range)	1.7, 1.3–2.1
Platelet count, 109 l−1 (median, interquartile range)	223.0, 185.0–270.0
Total	419

Data presented are number (%) or median (interquartile range).

The univariate and multivariate analysis results are shown in Tables 2 and 3. Among the clinicopathological variables, age, pT stage, tumour grade, lymphovascular invasion, margin status, and pN stage were associated with increased risk of disease-specific mortality in univariate analysis (P<0.05). Among inflammatory variables, albumin, lymphocyte count, and platelet count were significantly associated with DSS; however, CRP, white cell count, and neutrophil count were not associated with DSS. We next assessed the association of inflammatory variables and disease-specific mortality while controlling for clinicopathological variables identified at the time of radical cystectomy. Multivariate Cox regression analyses revealed that preoperative albumin (hazard ratio (HR), 1.79; 95% CI, 1.01–3.19), lymphocyte count (HR, 2.44; 95% CI, 1.20–4.94), and platelet count (HR, 2.11; 95% CI, 1.02–4.38) remained independently associated with a significantly increased risk for death from bladder cancer (Table 2). Preoperative albumin (HR, 1.67; 95% CI, 1.01–2.77), lymphocyte count (HR, 2.70; 95% CI, 1.51–4.83), and platelet count (HR, 2.02; 95% CI, 1.08–3.78) were also independent prognostic predictors of OS (Table 3).

Table 2

Univariate and multivariate Cox proportional hazard regression analyses of disease-specific survival

	Hazard ratio (95% confidence interval)
	Univariate		Multivariate
Variables		P value		P value
Clinical
Gender		0.668
Male	Reference
Female	0.867 (0.463–1.623)
Age, years		0.003		0.001
<65	Reference		Reference
⩾65	1.840 (1.229–2.755)		2.061 (1.344–3.162)
Body mass index, cm kg−2		0.106
<25	Reference
⩾25	0.674 (0.418–1.087)
American Society of Anesthesiologists score		0.579
1	Reference
⩾2	1.115 (0.750–1.658)
Year of surgery		0.261
1999–2006	Reference
2007–2011	0.789 (0.522–1.192)
Pathological
pT stage		<0.001		0.013
⩽pT2	Reference		Reference
⩾pT3	3.551 (2.350–5.368)		1.836 (1.136–2.967)
Tumour grade		0.001		0.240
Low grade	Reference		Reference
High grade	3.384 (1.569–7.302)		1.706 (0.700–4.160)
Lymphovascular invasion		<0.001		0.019
Absent	Reference		Reference
Present	3.423 (2.295–5.104)		1.746 (1.094–2.785)
Margin status		0.001		0.095
Negative	Reference		Reference
Positive	2.678 (1.545–4.643)		1.668 (0.915–3.041)
pN stage		<0.001		<0.001
N−	Reference		Reference
N+	4.186 (2.808–6.239)		2.839 (1.844–4.372)
Inflammatory
C-reactive protein, mg l−1		0.753
0 (⩽10)	Reference
1 (>10)	1.111 (0.577–2.138)
Albumin, g l−1		0.001		0.046
0 (⩾35)	Reference		Reference
1 (<35)	2.443 (1.428–4.181)		1.794 (1.010–3.187)
White cell count, 109 l−1		0.385
0 (⩽11)	Reference
1 (>11)	1.442 (0.631–3.294)
Neutrophil count, 109 l−1		0.086
0 (<7.5)	Reference
1 (⩾7.5)	1.773 (0.921–3.410)
Lymphocyte count, 109 l−1		0.029		0.014
0 (⩾1.0)	Reference		Reference
1 (<1.0)	2.154 (1.080–4.296)		2.436 (1.201–4.94)
Platelet count, 109 l−1		0.013		0.045
0 (<400)	Reference		Reference
1 (⩾400)	2.390 (1.203–4.747)		2.110 (1.017–4.379)

Table 3

Univariate and multivariate Cox proportional hazard regression analyses of overall survival

	Hazard ratio (95% confidence interval)
	Univariate		Multivariate
Variables		P value		P value
Clinical
Gender		0.768
Male	Reference
Female	0.942 (0.548–1.559)
Age, years		<0.001		<0.001
<65	Reference		Reference
⩾65	2.146 (1.507–3.055)		2.425 (1.662–3.537)
Body mass index, cm kg−2		0.015		0.093
<25	Reference		Reference
⩾25	0.591 (0.386–0.903)		0.687 (0.444–1.064)
American Society of Anesthesiologists score		0.086
1	Reference
⩾2	1.357 (0.953–1.924)
Year of surgery		0.743
1999–2006	Reference
2007–2011	1.063 (0.739–1.527)
Pathological
pT stage		<0.001		<0.001
⩽pT2	Reference		Reference
⩾pT3	3.730 (2.601–5.349)		2.567 (1.653–3.984)
Tumour grade		0.007		0.951
Low grade	Reference		Reference
High grade	2.151 (1.236–3.745)		0.980 (0.518–1.854)
Lymphovascular invasion		<0.001		0.143
Absent	Reference		Reference
Present	2.658 (1.890–3.739)		1.359 (0.901–2.051)
Margin status		<0.001		0.033
Negative	Reference		Reference
Positive	2.607 (1.602–4.242)		1.756 (1.047–2.946)
pN stage		<0.001		<0.001
N−	Reference		Reference
N+	3.133 (2.204–4.454)		2.194 (1.491–3.226)
Inflammatory
C-reactive protein, mg l−1		0.742
0 (⩽10)	Reference
1 (>10)	1.095 (0.637–1.884)
Albumin, g l−1		<0.001		0.047
0 (⩾35)	Reference		Reference
1 (<35)	2.961 (1.924–4.555)		1.670 (1.007–2.767)
White cell count, 109 l−1		0.345
0 (⩽11)	Reference
1 (>11)	1.412 (0.690–2.886)			0.508
Neutrophil count, 109 l−1		0.031	Reference
0 (<7.5)	Reference		1.243 (0.652–2.368)
1 (⩾7.5)	1.839 (1.057–3.200)
Lymphocyte count, 109 l−1		0.002		0.001
0 (⩾1.0)	Reference		Reference
1 (<1.0)	2.465 (1.410–4.311)		2.700 (1.511–4.825)
Platelet count, 109 l−1		<0.001		0.027
0 (<400)	Reference		Reference
1 (⩾400)	2.780 (1.597–4.842)		2.022 (1.082–3.779)

The nomograms predicting the probability of 2- and 5-year DSS and OS after radical cystectomy are shown in Figure 1. The C statistic of the 2002 AJCC for DSS and OS was 72.0% and 70.3%, respectively. Addition of SIR increased the predictive accuracy of the 2002 AJCC. The accuracy of nomograms was 77.8% and 77.3%, respectively, and exceeded that of the 2002 AJCC (Table 4). Figure 2 shows the calibration plots of the nomograms. Assessment of the nomogram axes indicated that the performance characteristics are virtually parallel to the observed disease-specific mortality rates and close to ideal predictions, shown by the 45-degree line. In the decision curve analysis, the nomograms including SIR demonstrated higher net benefit gains throughout the entire range of threshold probabilities for disease-specific mortality after 5 years compared with the models without SIR (Figure 3).

Figure 1

(A) DSS nomogram based on the multivariate model, including SIRs. (B) OS nomogram based on the multivariate model, including SIRs. age: 0 (<65 years) vs 1 (⩾65 years), Tstage: 1 (≤pT2) vs 2 (T3/4), lymphovascular invasion: 0 (no) vs 1 (yes), Nstage: 0 (pN-) vs 1 (pN+), albumin: 0 (⩾35 g l−1) vs 1 (<35 g l−1), lympho (lymphocyte count): 0 (⩾1 × 109 l−1) vs 1 (<1 × 109 l−1), PLT (platelet count): 0 (<400 × 109 l−1) vs 1 (⩾400 × 109 l−1).

Table 4

Discrimination estimates of risk prediction models of 5-year disease-specific and overall survival

	Discrimination (95% confidence interval)
	Disease-specific survival	Overall survival
2002 AJCC staging system	0.720 (0.673–0.768)	0.703 (0.664–0.743)
Nomogram	0.778 (0.733–0.824)	0.773 (0.736–0.811)

Abbreviation: AJCC=American Joint Committee on Cancer.

Figure 2

(A) Calibration plots for nomograms predicting 5-year DSS. (B) Calibration plots for nomograms predicting 5-year OS.

Figure 3

(A) Decision curve analyses for 5-year DSS. (B) Decision curve analyses for 5-year OS. Model 1 refers to the model without SIRs. Model 2 refers to the nomogram including SIRs.

The relationships between the constructed SIR-based prognostic scores and outcomes are shown in Supplementary Figures S1 and S2, respectively. Elevated cellular components of SIR (PNI, PLR, NLR, and dNLR) were associated with a reduced DSS and OS (all P<0.05), whereas acute-phase protein-based prognostic scores (GPS, mGPS, and PI) were not.

When the constructed SIR-based prognostic scores were included, the univariate and multivariate analysis results are shown in Supplementary Tables S2 and 3. Among inflammatory variables, PNI, PLR, NLR, and dNLR were significantly associated with DSS; however, mGPS and PI were not associated with DSS. We next assessed the association of inflammatory variables and disease-specific mortality while controlling for clinicopathological variables identified at the time of radical cystectomy. Multivariate Cox regression analyses revealed that preoperative PNI (HR, 1.54; 95% CI, 1.08–2.80), PLR (HR, 1.62; 95% CI, 1.07–2.46 for score 1 and HR, 3.05; 95% CI, 1.20–7.75 for score 2), NLR (HR, 2.02; 95% CI, 1.09–3.77), and dNLR (HR, 1.64, 95% CI, 1.06–2.55) remained independently associated with a significantly increased risk for death from bladder cancer (Supplementary Table S2). Preoperative PNI (HR, 1.79; 95% CI, 1.21–2.64), PLR (HR, 2.57; 95% CI, 1.11–5.99 for score 2), NLR (HR, 2.29; 95% CI, 1.35–3.87), and dNLR (HR, 1.74, 95% CI, 1.19–2.53) were also independent prognostic predictors of OS (Supplementary Table S3).

Discussion

In the present study, albumin, lymphocyte count, and platelet count were independent prognostic predictors of clinical outcomes in patients with bladder. Scores based on the cellular components of SIR, such as PNI, PLR, NLR, and dNLR, were significant predictors of DSS. These findings remained significant after controlling for clinicopathological features, suggesting an independent association of SIR based on lymphocyte counts with adverse outcomes. These scores improved based on the survival prediction using AJCC staging classification alone. In contrast, CRP was not an independent prognostic predictor of clinical outcomes. In addition, SIR based on CRP, such as GPS, mGPS, and PI, was not significantly associated with survival. Therefore, CRP-based scores are not recommended for routine use in predicting survival after radical cystectomy for bladder cancer.

In addition to tumour characteristics, the host immune and inflammatory response also determines tumour progression. SIR has been determined to be an important tumour-stage independent predictor of outcome in various cancer types. In bladder cancer, an elevated NLR was associated with adverse oncological outcomes (Hermanns ; Viers ). However, the value of PNI, PLR, and dNLR in bladder cancer remained poorly defined, despite their potential clinical utility in preoperative risk stratification and patient counselling. In fact, of the differential white cell count parameters, the NLR has been the most extensively validated. To our knowledge, this study is the first to demonstrate that PNI, PLR, and dNLR are predictive of DSS and OS following radical cystectomy. Moreover, it is the first nomogram to include SIR in bladder cancer.

Cell-mediated immunity plays a key role in the tumour immunology of patients with cancer. SIR is a simple, cost-effective, easily reproducible, and widely available preoperative evaluation blood test. However, the mechanisms by which SIR might impact survival in cancer patients are not well defined. Active systemic inflammation may portend poor local immune response to the tumour, leading to lymph node spread and metastasis. Inhibition of apoptosis, promotion of angiogenesis, and DNA damage in response to SIR could promote tumour metastasis and progression.

As more biomarkers are discovered and validated, efforts will focus on the combined use of multiple serum tumour markers. There is a biological rationale for using NLR, the ratio of circulating neutrophils (immune cells of innate system) to lymphocytes (immune cells of the adaptive system), as a measure of the systemic host response to evaluate the association between inflammation and cancer outcomes. Neutrophils represent 50–60% of total leukocytes and their cytoplasm is rich in granules with high toxic potential against various types of tumour cells. Circulating neutrophils have been shown to produce cytokines, such as tumour necrosis factor, interleukin-1, and interleukin-6, and to secrete pro-angiogenic vascular endothelial growth factor (Cho ). A relative lymphocytopenia may reflect lower counts of CD4+ T-helper lymphocytes, resulting in a suboptimal lymphocyte-mediated immune response to malignancy. Thus, patients with elevated NLR have relative lymphopenia and, as a result, may exhibit a poorer lymphocyte-mediated immune response to malignancy. Absolute neutrophil and lymphocyte counts could be affected by various physiological, pathological, and physical factors, whereas NLR remains stable with respect to these factors. Thus, the stability of NLR is superior to the leukocyte subtype (Proctor ).

dNLR was initially defined by Proctor . This ratio employed the white cell count-neutrophil value instead of the lymphocyte value as the denominator. The stability of dNLR is similar to that of NLR because the same parameters are used to calculate them. In our study, there was small but superior prognostic value of the NLR (HR, 2.02) over the dNLR (HR, 1.64), which is consistent with previous results (Proctor ). Although the basis of this observation is not clear, in the dNLR, the use of (white cell count-neutrophil) in the denominator is broadly mixing two cell types, lymphocytes and monocytes, with possible opposing effects in terms of predictive value.

Other prognostic factors based on lymphocyte count-based prognostic scores that are associated with cancer have been explored, including a combination of albumin and lymphocyte counts in Onodera's PNI (Forrest ) and the combination of platelet and lymphocyte count as the PLR (McMillan, 2008). Hypoalbuminemia is introduced by high cytokine levels during the SIR. PNI is calculated using only two values: the serum albumin concentration and lymphocyte count in the peripheral blood (Onodera ). PNI might be an effective predictive indicator for cancer prognosis, particularly digestive system carcinoma (Sun ). Platelet aggregation and degranulation along with the consequent release of platelet-derived pro-angiogenic mediators within the tumour microvasculature also could be an important determinant of tumour growth (Sierko and Wojtukiewicz, 2004). Increased PLR was a negative prognostic marker in patients with gastric cancer, colorectal cancer, hepatocellular carcinoma, ovarian cancer, and non-small cell lung cancer, but not pancreatic cancer (Zhou ). Our study shows that an elevated PNI or PLR is a negative predictor for DSS and OS for patients with bladder cancer who underwent radical cystectomy. However, more studies with larger sample sizes are needed to confirm the prognostic values of PNI and PLR in bladder cancer.

CRP is a non-specific but sensitive marker of systemic inflammation, which may be expressed selectively by tumour cells (Nozoe ). Elevated CRP levels are indicative of poor outcomes in a variety of cancers (Koike ; Jagdev ; Roxburgh and McMillan, 2010) The GPS, mGPS, and PI are inflammation-based prognostic scores based on serum CRP levels. The GPS is recognised as one of the most useful scoring systems for determining long-term outcomes in patients with various cancers (Forrest ). In the present study, acute-phase protein-based prognostic scores (GPS, mGPS, and PI) were not associated with DSS. Our results do not agree with the recent data from Dutta , who reported that the mGPS has superior prognostic value to that of NLR in patients with gastric cancer. However, in contrast, Mohri reported that the NLR was superior to the individual components of the mGPS in patients with gastric cancer. The reasons for these discrepancies remain unexplained. In this study, a single measurement was taken whereas in patients, CRP may change over time. Clinically, it would be reasonable to repeat CRP, particularly when there are changes in the patient's condition. In addition, possible confounders, such as comorbidities, were not taken into account and this might influence the results.

There are limitations to our study. First, our study is a retrospective study. Therefore, our results need to be further confirmed by a prospective study to provide a better conclusion. Second, we did not measure SIR after radical cystectomy and cannot investigate whether post-surgery improvement of SIR has a predictive value. Third, there is heterogeneity in the reported thresholds used to define an elevated SIR in the literature (Templeton ). This may reflect variations in the host response for different disease sites and stages, or may reflect the different approaches used when determining cutoff values. Fourth, blood SIR was not compared with the extent of lymphocytic infiltration within and surrounding the cancer cells. Such histological correlations should be considered in future analyses. In addition, because we did not directly compare the prognostic value of SIR scores, the relative prognostic value of the PNI, PLR, NLR, and dNLR is not clear. More specifically, it is not clear which of these scores best predicts survival in bladder cancer. Finally, these data are from a single tertiary referral institution and thus require external validation.

In sum, the results of this study show that the prognostic value of SIR based on lymphocyte counts is superior to those based on CRP in patients with urothelial carcinoma undergoing radical cystectomy. Because SIR may be included in routine clinical assessments, the universally available SIR should be used for risk stratification of these patients.