Preoperative Neutrophil-lymphocyte Ratio as a Predictor of Overall Survival in Patients with Localized 
Renal Cell Carcinoma

Damian Widz1*, Przemysław Mitura1, Paweł Buraczyński1, Paweł Płaza1, Marek Bar1, Michał Cabanek1, 
Grzegorz Nowak1, Anna Ostrowska2 , Krzysztof Bar1

Purpose: The neutrophil-to-lymphocyte ratio (NLR), as an indicator of the systemic inflammatory response, 
predicts adverse outcomes in many malignancies. We investigated its prognostic significance in patients with non-
metastatic renal cell carcinoma.

Materials and Methods: We retrospectively evaluated data of 196 consecutive non-metastatic RCC patients 
who underwent radical or partial nephrectomy between 2010 and 2012 at a single center. Overall survival (OS) 
was assessed using the Kaplan-Meier method and compared using the log-rank test. We applied univariate and 
multivariate Cox regression models to evaluate the prognostic value of dichotomized NLR for OS.   

Results: At a median follow up of 68 months, high NLR (≥ 2,69) correlated with worse survival outcome (P = .006 
in log-rank test) and higher tumor stage (P = .035). Univariate and multivariate analysis identified elevated NLR 
(P = .039), as well as age (P = .002), high Fuhrmann grade (P = .002) and high pathologic T stage (P < .001), as 
significantly associated with overall survival.

Conclusion: In our cohort, an elevated neutrophil-to-lymphocyte ratio is significantly associated with worse OS on 
univariate and multivariate analysis. Consequently, the NLR is an easily acquired biomarker, which may be useful 
in pretreatment patient risk stratification.

Keywords: inflammation, neutrophil-lymphocyte ratio, prognosis, renal cell carcinoma, survival

INTRODUCTION 

Renal cell carcinoma, representing 2–3% of malig-nancies worldwide(1), has increased in incidence 
over the last two decades. This medical condition is of-
ten identified in Western countries, but the frequency of 
its occurrence in western Europe has been stabilized(2). 
Also, due to the wide-spread use of ultrasound (US) and 
computed tomography (CT) many newly diagnosed re-
nal tumors occur as incidental findings, and are there-
fore smaller and of lower stage(3,4,5).
Kidney cancer therapy is a subject of continuous veri-
fication and incremental modification to improve onco-
logical outcome while reducing the negative implica-
tions of surgical or systemic treatment(6,7,8).
Researchers are constantly attempting to determine 
prognostic factors that can accurately predict clinical 
outcomes of RCC patients. These features are derived 
from anatomical, histological, clinical and molecular 
data and are combined into prognostic systems and 
nomograms(9,10,11,12,13).
This constant effort to uncover new factors has focused 
attention on cancer-associated inflammation, which 
has an established role in cancer development and pro-
gression. Pre-operative measurement of inflammatory 
response markers, such as elevated C-reactive protein 
levels, hypoalbuminemia or increased white cell, neu-

1Department of Urology, Medical University of Lublin, Lublin, Poland.
2Department of Pathology, Medical University of Lublin, Lublin,  Poland.
*Correspondence: Department of Urology, Medical University of Lublin, Jaczewskiego 8, Lublin, 
E-mail address: damian.widz@gmail.com; damianwidz@umlub.pl.
Received & Accepted

trophil and platelet counts, allows the prediction of 
patients’ survival in many cancers(14,15). The neutro-
phil to lymphocyte ratio (NLR) is a cheap and easily 
acquired inflammatory marker widely investigated as a 
prognostic factor in a number of cancers(14,16), including 
urologic tumors(17). The aim of our study was to eval-
uate the prognostic significance of preoperative NLR 
in non-metastatic RCC. This is one of the first cohort 
studies in this field in our region.

MATERIALS AND METHODS
Study population
A total of 196 consecutive patients with non-metastatic 
RCC who had undergone a curative radical or partial 
nephrectomy at the Department of Urology at the Med-
ical University of Lublin between January 2010 and 
September 2012 were included in this historical cohort 
study. Patients suspected of bone marrow disease (1 
case) or lost from follow-up (3 cases) were not involved 
in the study. 
Study design and Evaluations
The research was reviewed and approved by Medical 
University of Lublin Ethics Committee. Data regarding 
age, sex, body mass index (BMI), history of hyperten-
sion and diabetes were retrieved from medical records 

UROLOGICAL ONCOLOGY

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Vol 17 No 01  January-February 2020   31Urological Oncology  349

of the Department of Urology, clinicopathological pa-
rameters including histological RCC subtype, tumor 
grade (Fuhrmann grade), presence or absence (not 
quantitatively assessed) of histologic tumor necrosis 
(TN), and tumor size were obtained from the patholo-
gy reports from the Department of Pathology at Lublin 
University Hospital. Laboratory tests, including periph-
eral blood cell counts, were performed at 1–7 days be-
fore surgery. 
Overall survival was calculated based on the dates of 
individuals' surgery and death from any cause. Dates 
of death were obtained from the registry of the Polish 

Ministry of Digital Affairs.
The objective of the present study was to examine the 
relationship between pretreatment NLR and the clinico-
pathological features of RCC in patients who had re-
ceived radical surgery, as well as the potential effect of 
NLR on overall survival.
NLR was calculated by dividing the absolute neutrophil 
count by the absolute lymphocyte count.
Statistical Analysis
The cutoff value for the dichotomization of NLR was 
calculated using a receiver – operating characteristic 
curve with survival (death) as a gold standard. The pro-

NLR as a predictor of overall survival in patients with RCC-Widz et al.

Table 1. Clinicopathological characteristics of the cohort stratified by preoperative NLR.

Clinicopathological features   NLR < 2,69 n (%) NLR ≥ 2,69 n (%) P-value a 

Age (years)        0.44
   < 65     65 (64.4)  56 (58.9)  
   ≥ 65     36 (35.6)  39 (41.1) 
Gender         0.95
   Male     60 (59.4)  56 (58.9)  
   Female    41 (40.6)  39 (41.1) 
BMI         0.29
   < 25     25 (24.75)  30 (31.6)  
   ≥ 25     76 (75.25)  65 (68.4) 
Hypertension        0.15
   No     48  (47.5)   55 (57.9)  
   Yes      53 (52.5)  40 (42.1) 
Tumor size        0.21
   < 7     83 (82.2)  71 (74.7)  
   ≥ 7     18 (17.8)  24 (25.3)
Histologic subtypes        0.18
  Clear cell    88 (87.1)  76 (80)
  Non-clear cell    13 (12.9)  19 (20) 
pT stage         0.04
   T1 – T2    73 (72.3)  55 (57.9)
   T3 – T4    28 (27.7)  40 (42.1) 
Fuhrman grade        0.74
   1 – 2      61 (60.4)  54 (58.1)
   3 – 4      40 (39.6)  39 (41.9)
Type of surgery        0.27
   NSS     27 (26.7)  19 (20)
   Nephrectomy    74 (73.3)  76 (80) 
Tumor necrosis        0.80
   No     75 (74.3)  69 (72.6)
   Yes      25 (26.7)  26 (27.4)

a The χ2-test
Abbreviations: BMI – body mass index, NLR – neutrophil-lymphocyte ratio, NSS – nephron-sparing surgery, pT stage – pathological 
tumor stage

Figure 1. Linear correlation analysis of the association between 
prognosis and NLR values.

Figure 2. Kaplan–Meier curves for overall survival in renal cell 
carcinoma patients categorized by the neutrophil–lymphocyte ratio 
(low NLR < 2,69; high NLR ≥ 2,69).



posed and finally accepted cut-off point was determined 
to be 2.69.
Categorical variables were reported as frequencies and 
percentages. Continuous variables were reported as 
medians and ranges, and then dichotomized according 
to approximate optimal cutoff points. The relationship 
between NLR and the clinicopathologic parameters was 
evaluated by non-parametric tests - Pearson’s χ2  tests. 
Linear correlation analysis was used to determine 
the association between prognosis and NLR values. 
The time of overall survival was calculated using the 
Kaplan-Meier method and compared using the log-rank 
test. Cox’s proportional hazard regression model was 
used to assess the influence on overall survival (OS) 
of age, gender, Fuhrmann grade, histologic subtypes of 
RCC, pathologic T (tumor) stage, tumor size. We decid-
ed on a multivariate analysis with variables significant 
in univariate analysis, as well as including histological 
subtype, due to its acknowledged role as prognostic fac-
tor.
All statistical analyses were performed using STATA 
software version 13. P < .05 was considered to be sta-
tistically significant.

RESULTS
Overall, 196 RCC patients, median age 61 years (inter-
quartile range 24-85), were treated with partial nephrec-
tomy – 46 (23.5%) or nephrectomy – 150 (76.5%). 
Among all the cases, 165 (84.2%) had clear cells, 14 
(7.1%) had papillary, 6 (3.1%) had chromophobe, 4 
(2%) had cystic, 1 (0.5%) had collecting duct RCC and 
6 (3.1%) were not specified. Pathologic T stage was 
T1a in 67 (34.2%), T1b in 52 (26.5%), T2a in 7 (3.6%), 
T2b in 2 (1%), T3a in 58 (29.6%), T3b in 7 (3.6%) and 
T4 in 3 (0.2%) patients. Tumor Fuhrmann grading was 
Grade 1 in 11 cases (5.6%), Grade 2 in 103 (52.6%), 
Grade 3 in 55 (28.1%), Grade 4 in 24 (12.2%) and in 3 
(1.5%) cases not specified. Histologic tumor necrosis 
was reported in 52 (26.5%) patients. The mean neutro-

phil count was 4.94 ± 1.66, mean lymphocyte count was 
1.74 ± 0.64 and mean NLR was 3.18 ± 1.66. Using an 
ROC curve we determined the cutoff NLR value of 2.69 
to be optimal to differentiate patients’ overall survival 
and define low (< 2.69) and high NLR (≥ 2.69). Overall, 
there were 101 (51.5%) patients with a low NLR and 95 
(48.5%) patients with a high NLR. A High NLR was 
significantly associated with an advanced tumor stage 
(P < .05) but not with any other tested clinicopatholog-
ical feature (Table 1). 
Total median follow-up time was 68 months (interquar-
tile range (IQR) 44.5–78). Overall, there were 64 deaths 
from all causes. The prognosis of patients was signifi-
cantly associated with NLR values (P  < .001) (Figure 
1). Kaplan–Meier curves for survival probability shown 
on Figure 2 revealed that a high NLR correlates with 
poor prognosis in RCC patients (P = .006 in log-rank 
test). 
For further investigations to determine the prognostic 
significance of NLR for OS, univariate and multivariate 
Cox proportional hazard analyses were performed. Age 
(≥ 65 vs < 65 years, P = .003), gender (male vs female, 
P = .004), high tumor Fuhrmann grade (3+4 vs 1+2, 
P < .001), high pathologic T stage (T3–T4 vs T1–T2, 
P < .001), large tumor size (> 7 cm vs ≤ 7 cm, P < 
.001) and a high NLR (≥ 2.69 vs < 2.69, P = .007) were 
identified as predictors of poorer outcomes (Table 2). 
In multivariable analyses, after adjusting all the varia-
bles, NLR remained significantly associated with OS (P 
= .039), as well as age, gender, high Fuhrmann grade, 
high pathologic T stage, but not tumor size (Table 3). 

DISCUSSION
The challenge presented by the personalized manage-
ment of patient care requires constant research for more 
accurate biomarkers characterizing particular tumors. 
Continuously updated scientific reports on kidney can-
cer focus to a large extent on molecular research(18). The 
complexity of molecular alterations in RCC, as well as 

Table 2. Univariate analysis of clinicopathological parameters for the prediction of overall survival in patients with RCC.

Features      Overall survival
      HR 95% CI  P-value

Gender (Male vs Female)    2.287 1.298-4.029  0.004
Age (≥ 65 vs < 65)     2.105 1.286-3.445  0.003
The histologic subtypes (Clear cell vs Non-clear cell)  1.008 0.955-1.064  0.77
pT stage (T3 -T4 vs T1 - T2 )    5.375 3.200-9.028  0.000
NLR ( ≥ 2.69 vs < 2.69)    2.009 1.211-3.334  0,007
Tumor size (> 7 cm vs ≤ 7 cm)    3.924 2.380-6.473  0.000
Fuhrman grade (3 - 4 vs 1 - 2)    3.377 2.015-5.658  0.000

Abbreviations: BMI – body mass index, NLR – neutrophil-lymphocyte ratio, pT stage – pathological tumor stage

Features     Overall survival
     HR 95% CI  P-value

Gender (Male vs Female)   1.755 0.988-3.116  0.06
Age (≥ 65 vs < 65)    2.187 1.325-3.611  0.002
The histologic subtypes (Clear cell vs Non-clear cell) 1.058 0.995-1.125  0.07
pT stage (T3 -T4 vs T1 - T2 )   4.817 2.568-9.035  0.00
NLR ( ≥ 2,69 vs < 2,69)   1.718 1.027-2.874  0.04
Tumor size (> 7 cm vs ≤ 7 cm)   1.435 0.819-2.514  0.21
Fuhrman grade (3-4 vs 1-2)   2.230 1.343-3.938  0.002

Abbreviations: BMI – body mass index, NLR – neutrophil-lymphocyte ratio, pT stage – pathological tumor stage

Table 3. Multivariable analysis of clinicopathological parameters for the prediction of overall survival in patients with RCC.

NLR as a predictor of overall survival in patients with RCC-Widz et al.

Urological Oncology  32



Vol 17 No 01  January-February 2020   33

the intratumor heterogeneity of its genomic landscape, 
results in time-consuming analyses and is thus associat-
ed with high costs(18,19). As a consequence, none of the 
markers are available for routine testing. 
NLR is relatively easy to estimate from regularly used 
blood – based counts, making it an attractive prognos-
tic factor for further evaluation and treatment of RCC 
patients.
NLR has been widely evaluated as an adverse factor for 
different human cancers, including colorectal, gastric, 
esophageal, pancreatic, liver, urological and gyneco-
logical cancers(1), as well as in non – neoplastic con-
ditions, such as cardiovascular diseases(20,21). Graeme 
J.K. Guthrie demonstrated that, regardless of the type 
of cancer or required treatment approach, NLR was 
elevated in patients with more advanced or aggressive 
disease manifested by increased tumor stage, nodal in-
volvement or a higher number of metastatic lesions (14).
You Luo, in his publication dedicated to urologic tum-
ors defined as renal cell carcinoma, upper tract urothe-
lial carcinoma, bladder cancer and prostate cancer, in-
dicated that patients with a higher NLR had a higher 
all-cause mortality risk in all the mentioned groups. 
In terms of cancer specific survival (CSS) outcome, 
results showed significant differences, with inferiority 
of a high NLR, in upper tract urothelial carcinoma and 
bladder cancer but not in RCC, and no data in prostate 
cancer(22).
Renewed interest in the role of NLR as a prognostic 
factor in RCC patients has developed as a result of 
new scientific reports. Boissier et al. (2017) reviewed 
the available literature in August 2016 and found that 
NLR has a prognostic value for all stages of localized 
or metastatic RCC, including prediction of the response 
to systemic treatments or cytoreductive nephrectomy 
in metastatic kidney cancer(22). Another study on pa-
tients with advanced disease (locally and metastatic) 
performed by Fox et al. showed that the addition of in-
flammatory markers into prognostic models based on 
MSKCC allows a more accurate prediction of patient 
survival time. According to this improved classifica-
tion 25.8% of patients were more appropriately classi-
fied. The markers of systemic inflammation used in the 
study were elevated neutrophil counts, elevated platelet 
counts and high NLR, defined as > 3(23). 
There are incoming evidence on the potential benefits 
of adjuvant systemic therapy in advanced kidney can-
cer (24,25). Due to the fact of a possible toxicity of such 
treatment, the search for markers enabling proper quali-
fication of patients is underway. Motzer et al. showed in 
their study that nlr may contribute in this field. Accord-
ing to their analysis from the S-TRAC trial, patients 
with NLR<3 experienced longer disease free survival 
with adjuvant sunitinib compared to placebo(24,25). De-
termining the basis of this relation requires further in-
quiry.
The value of NLR in patients with non-metastatic RCC 
remains under investigation. Some studies have already 
been published, with conflicting results reported.
In this cohort study, we found that preoperative NLR is 
significantly associated with OS in univariate and mul-
tivariable analyses. We demonstrated that an increased 
NLR > 2.7 was an independent predictor of poor prog-
nosis. Our findings are in agreement with the large Eu-
ropean validation study of Pichler et al (2013), where 
they investigated a group of 678 patients with non – 

metastatic clear cell RCC and reported that NLR was 
an independent negative predictor for OS. They did not 
find the same relation to CSS or metastatic free survival 
(26). Their research is in contrast to another prior study 
by Ohno et al (2010) on a smaller cohort of 192 pa-
tients with a mean follow-up of 93 months, where they 
reported that an increased NLR was an independent 
predictor for recurrence-free survival(27). In his analy-
ses Ohno omitted variables such as tumor stage, size, 
grade or presence of necrosis which has been proven to 
be highly predictive of tumor recurrence(28). Moreover, 
their study did not include OS data.
Other research projects also do not provide an unam-
biguous answer about the prognostic role of NLR. Us-
ing a group of 827 non-metastatic clear cell RCC pa-
tients, Boyd et al (2014) demonstrated that NLR is an 
independent predictor of cancer-specific and all-cause 
mortality. In contrast to many previous studies, and 
ours, their multivariable analysis is based on continu-
ous NLR(29). This approach, perceived by the authors to 
be an advantage of the analysis, allows the avoidance 
of inaccurate setting of the cut-off value and receiving 
misleading results. However, everyday clinical practice 
usually requires the establishing of a certain point by 
which a clinician can identify significant abnormality in 
a diagnostic test. Combination of information received 
from analyses based on continuous NLR with tests on 
dichotomized NLR would make it possible to identify a 
group of patients with a worse prognosis and gradation 
of their risk.
Lastly, Bazzi et al (2016) evaluated 1970 patients un-
dergoing partial or radical nephrectomy for localized 
clear cell RCC and found that NLR, as a continuous 
variable, was significantly associated with worse re-
currence free survival (RFS), CSS, and OS; however, 
in contrast to Boyd’s research NLR independently pre-
dicted only worse OS(30). 
Attempts to explain the relationship between NLR and 
prognosis, on a pathophysiological basis, lead to the 
role of inflammation. The interaction between inflam-
mation and carcinogenesis has been studied over the 
past decades. Through various mechanisms, inflamma-
tion is involved in oncogenesis. A tumor is not merely a 
line of cancer cells dividing in an uncontrolled manner. 
On the contrary, there are many accompanying cells, 
including those derived from the immune system, in-
fluencing tumor behavior. Cancer-associated inflam-
mation induces the up-regulation of the innate immune 
response. It is manifested as a heightened neutrophil 
dependent reaction, increased tumor macrophage infil-
tration with concomitant suppression of lymphocytes. 
Elevated proinflammatory cytokines modify the tumor 
microenvironment, allowing its intense growth and 
overcoming consecutive barriers in tumor expansion, 
promoting aggressive tumor behavior(31,32). An elevat-
ed neutrophil–lymphocyte ratio reflects, in part, the in-
creased role of the innate immune system; moreover, it 
is often associated with higher values of proinflamma-
tory cytokines(33,34).
Our study, as being the historical cohort, is limited by 
its non-randomized character. No data were availa-
ble about the cause of death. Moreover, NLR is not a 
disease-specific biomarker and may be influenced by 
many factors interacting with the immune system. The 
NLR cut-off point used in our study differs slightly 
from those used in previous research, as it is always set 

NLR as a predictor of overall survival in patients with RCC-Widz et al.



for a certain evaluated cohort. 

CONCLUSIONS
Nevertheless, considering the limitations, our data show 
that elevated NLR may be recognized as an independ-
ent prognostic factor for OS in non-metastatic RCC 
patients undergoing surgical resection of tumors. The 
NLR might be an easily available and inexpensive bi-
omarker predicting clinical outcomes of RCC patients. 
However, to establish an accurate NLR value, useful for 
clinical practice, further prospective research is needed.   

CONFLICT OF INTEREST
None declared.

REFERENCES
 1. European Network of Cancer Registries: 

Eurocim version 4.0. 200: Lyon, France.
 2. Lindblad, P. Epidemiology of renal cell 

carcinoma. Scand J Surg, 2004; 93: 88. 
 3. Patard JJ, Rodriguez A, Rioux-Leclercq N, 

Guillé F, Lobel B. Prognostic significance of 
the mode of detection in renal tumours. BJU 
Int. 2002;90(4):358-63.

 4. Kato M, Suzuki T, Suzuki Y, Terasawa Y, 
Sasano H, Arai Y. Natural history of small 
renal cell carcinoma: evaluation of growth 
rate, histological grade, cell proliferation and 
apoptosis. J Urol, 2004;172:863-6. 

 5. Tsui K-H, Shvarts O, Smith RB, Figlin 
R, de Kernion JB, Belldegrun A. Renal 
cell carcinoma: prognostic significance 
of incidentally detected tumors. J Urol, 
2000;163:426-430.

 6. Cai Y, Li HZ, Zhang YS. Comparison of Partial 
and Radical Laparascopic Nephrectomy: 
Long-Term Outcomes for Clinical T1b Renal 
Cell Carcinoma. Urol J. 2018 Mar 18;15(2):16-
20. doi: 10.22037/uj.v0i0.3913.

 7. Zhang K, Xie WL. Urol J. Determination of 
the Safe Surgical Margin for T1b Renal Cell 
Carcinoma. 2017 Jan 18;14(1):2961-2967.

 8. Nouralizadeh A, Ziaee SA, Basiri A, 
Simforoosh N, Abdi H, Mahmoudnejad N, 
Kashi AH. Transperitoneal laparoscopic 
partial nephrectomy using a new technique. 
Urol J. 2009 Summer;6(3):176-81.

 9. Ahmedov V, Kizilay F, Cüreklibatir I. 
Prognostic significance of body mass index 
and other tumor and patient characteristics 
in non-metastatic renal cell carcinoma. Urol 
J. 2018 May 3;15(3):96-103. doi:10.22037/
uj.v0i0.4067.

 10. Sorbellini M, Kattan MW, Snyder ME, et al. A 
postoperative prognostic nomogram predicting 
recurrence for patients with conventional clear 
cell renal cell carcinoma. J Urol, 2005;173:48-
51. 

 11. Patard JJ, Kim HL, Lam JS, et al. Use of the 
University of California Los Angeles integrated 
staging system to predict survival in renal cell 
carcinoma: an international multicenter study. 

NLR as a predictor of overall survival in patients with RCC-Widz et al.

J Clin Oncol. 2004;22(16):3316-22.
 12. Karakiewicz PI, Briganti A, Chun FK, et al. 

Multi-institutional validation of a new renal 
cancer-specific survival nomogram. J Clin 
Oncol. 2007;25(11):1316-22. 

 13. Zigeuner R, Hutterer G, Chromecki T, et al. 
External validation of the Mayo Clinic stage, 
size, grade, and necrosis (SSIGN) score for 
clear-cell renal cell carcinoma in a single 
European centre applying routine pathology. 
Eur Urol. 2010;57(1):102-9. 

 14. Guthrie GJK, Charles KA, Roxburgh CSD, 
Horgan PG, McMillan DC, Clarke SJ. The 
systemic inflammation-based neutrophil–
lymphocyte ratio: Experience in patients 
with cancer. Crit Rev Oncol Hematol. 
2013;88(1):218-30. 

 15. Roxburgh CS, McMillan DC. Role of systemic 
inflammatory response in predicting survival 
in patients with primary operable cancer. 
Future Oncol. 2010;6.1:149–163.

 16. Acharya S, Rai P, Hallikeri K, Anehosur V, 
Kale J. Preoperative platelet lymphocyte ratio 
is superior to neutrophil lymphocyte ratio to 
be used as predictive marker for lymph node 
metastasis in oral squamous cell carcinoma. J 
Invest Clin Dent. 2017. 8: n/a, e12219.

 17. Luo Y, She D-L, Xiong H, Fu S-J, Yang L. 
Pretreatment Neutrophil to Lymphocyte Ratio 
as a Prognostic Predictor of Urologic Tumors 
A Systematic Review and Meta-Analysis. 
Medicine. 2015; 94(40): e1670.

 18. Al-Ali BM, Ress AL, Gerger A, Pichler 
M.  MicroRNAs in renal cell carcinoma: 
implications for pathogenesis, diagnosis, 
prognosis and therapy. Anticancer Res. 2012; 
32(9):3727-32.

 19. Gerlinger M, Rowan AJ, Horswell S, et 
al. Intratumor heterogeneity and branched 
evolution revealed by multiregion sequencing. 
Engl J Med. 2012;366(10):883-892.

 20. Kim SC, Sun KH, Choi DH, et al. Prediction 
of Long-Term Mortality Based on Neutrophil-
Lymphocyte Ratio After Percutaneous 
Coronary Intervention. Am J Med Sci. 
2016;351(5):467-72.

 21. Quiros-Roldan E, Raffetti E, Donato F, et 
al. Neutrophil to Lymphocyte Ratio and 
Cardiovascular Disease Incidence in HIV-
Infected Patients: A Population-Based Cohort 
Study. PLoS One. 2016;11(5):e0154900.

 22. Boissier R, Campagna J, Branger N, Karsenty 
G, Lechevallier E. The prognostic value of the 
neutrophil-lymphocyte ratio in renal oncology: 
A review. Urol Oncol. 2017;35(4):135-141. 

 23. Fox P, Hudson M, Brown C, et al. Markers 
of systemic inflammation predict survival in 
patients with advanced renal cell cancer. Br J 
Cancer. 2013; 109:147–153.

 24. Ravaud A, Motzer RJ, Pandha HS, et al. 
Adjuvant Sunitinib in High-Risk Renal-Cell 

Urological Oncology  34



Vol 17 No 01  January-February 2020   35

Carcinoma after Nephrectomy. N Engl J Med 
2016; 375:2246-2254

 25. Motzer RJ, Ravaud A, Patard JJ, et al. Adjuvant 
Sunitinib for High-risk Renal Cell Carcinoma 
After Nephrectomy: Subgroup Analyses and 
Updated Overall Survival Results. Eur Urol. 
2018;73(1):62-68.

 26. Pichler M, Hutterer GC, Stoeckigt C, et al. 
Validation of the pre-treatment neutrophil–
lymphocyte ratio as a prognostic factor in a 
large European cohort of renal cell carcinoma 
patients. Br J Cancer. 2013; 108(4): 901–907. 

 27. Ohno Y, Nakashima J, Ohori M, Hatano 
T, Tachibana M. Pretreatment Neutrophil-
to-Lymphocyte Ratio as an Independent 
Predictor of Recurrence in Patients With 
Nonmetastatic Renal Cell Carcinoma. J Urol. 
2010;184(3):873-878.

 28. Leibovich BC, Blute ML, Cheville JC, et 
al. Prediction of progression after radical 
nephrectomy for patients with clear cell renal 
cell carcinoma. Cancer, 97: 1663–1671.

 29. Viers BR, Thompson RH, Boorjian SA, 
Lohse CM, Leibovich BC, Tollefson MK. 
Preoperative neutrophil-lymphocyte ratio 
predicts death among patients with localized 
clear cell renal carcinoma undergoing 
nephrectomy. Urol Oncol. 2014;32(8):1277-
1284.

 30. Bazzi WM, Tin AL, Sjoberg DD, Bernstein M, 
Russo P. The prognostic utility of preoperative 
neutrophil-to-lymphocyte ratio in localized 
clear cell renal cell carcinoma. Can J Urol. 
2016;23: 8151-8154.

 31. Hanahan D, Weinberg RA. Hallmarks 
of cancer: the next generation. Cell. 
2011;144(5):646-74.

 32. Lu H, Ouyang W, Huang C. Inflammation, a 
key event in cancer development. Mol Cancer 
Res. 2006;4(4):221-33.

 33. Motomura T, Shirabe K, Mano Y, et al. 
Neutrophil–lymphocyte ratio reflects 
hepatocellular carcinoma recurrence after 
liver transplantation via inflammatory 
microenvironment. J Hepatol. 2013; 58:58–
64.

 34. Kantola T, Klintrup K, Vayrynen JP, et al. 
Stage-dependent alterations of the serum 
cytokine pattern in colorectal carcinoma. Br J 
Cancer. 2012; 107: 1729–1736.

NLR as a predictor of overall survival in patients with RCC-Widz et al.