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Erschienen in: BMC Urology 1/2020

Open Access 01.12.2020 | Research article

Prognostic value of systemic inflammatory factors NLR, LMR, PLR and LDH in penile cancer

verfasst von: Chen Hu, Yu Bai, Jun Li, Guoyin Zhang, Libo Yang, Chengwei Bi, Bin Zhao, Yong Yang, Ruiqian Li, Hongyi Wu, Qilin Wang, Yang Qin

Erschienen in: BMC Urology | Ausgabe 1/2020

Abstract

Background

Penile squamous cell carcinoma (PSCC) represents an important public health problem for developing countries. The major prognostic factors in PSCC are pathological subtype, perineural invasion, lymphovascular invasion, depth of invasion and grade, which are hard to obtain precisely before the operation. Besides, micro-metastases will be detected in about 30% of intermediate-risk patients with clinically non-palpable inguinal lymph nodes after inguinal lymph node dissection (ILND). It means approximately 70% of patients are unable to benefit from ILND who might suffered from the complications of surgery. We hope some biomarkers could be found which are able to predict the outcome before surgery and reflect the inguinal lymph nodes metastasis.

Methods

A total of 349 consecutive patients of penile cancer in Yunnan cancer hospital in China between October 2002 and December2017. Two hundred twenty-five was succeed to follow-up. The association between NLR, LMR, PLR, LDH and Overall survival (OS), progression free survival (PFS), inguinal lymph node (N stage) was analyzed with K-M analysis, univariable, multivariable logistic regression and Kendall’s tau-b correlation coefficient.

Results

Multivariable analysis reveal that only PLR was significant independent factor which is associated with inferior OS and PFS; Age and LDH was associated with inferior OS; Lymph node and metastatic status remained significant for OS and PFS as NCCN and EAU Guidelines indicated; the tumor type, initial treatment and NLR LMR were not significant in predicting both OS and PFS. NLR, LMR and PLR were corresponded to N stage, while LDH was not associated with the N stage based on logistic regression model analysis. NLR, LMR and PLR were found weakly related to N stage through an application of Kendall’s tau-b correlation coefficient.

Conclusions

PLR was significant independent factors for OS and PFS, Age and LDH was significant independent factors for OS. NLR, LMR, PLR was corresponded to N stage.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
NLR
Neutrophil-to-lymphocyte ratio
LMR
Lymphocyte-to-monocyte ratio
PLR
Platelet-to-lymphocyte ratio
LDH
Lactate dehydrogenase

Background

Penile squamous cell carcinoma has a low incidence among all cancers, according to the report there are 26,000 new cases occurring worldwide annually [1]. However, in developing countries such as Africa, Asia, South America, etc. penile cancer is still a difficult problem, where its incidence varies from 3 to 8.3 cases per 100,000 [2], especially in southwestern of China. The management of the regional lymph nodes is extremely important for long-term survival of the patient according to the National Comprehensive Cancer Network (NCCN) and the European Association of Urology (EAU) clinical practice guidelines. Both guidelines subdivide penile cancer into three groups of low risk, intermediate risk and high risk. Low-risk patients with non-palpable inguinal lymph node (cN0) can be managed by surveillance or dynamic sentinel node biopsy (DSNB), however, due to earlier Inguinal Lymph Node Dissection (ILND) surgery has a better prognosis than ILND after local lymph node recurrence, the indications for ILND recommended by the guidelines are do the operation as long as the inguinal lymph node are palpable, whether it is low-risk, moderate or high risk [3]. However intermediate-risk patients with clinically non-palpable inguinal lymph nodes, only about 30% of them are able to detect micro-metastases after ILND. That means the rest of patients approximately 70% have no benefit from ILND and suffered from the complications of surgery. So it is crucial to selected the patients who are really benefits from ILND before surgery. Because prognosis of PSCC is highly correlated with lymph nodes stage, plenty of articles have select patients through the prognostic role of biomarkers. The major prognostic factors in PSCC are perineural invasion, pathological subtype, depth of invasion, grade and lymphovascular invasion [4, 5]. These factors are hard to precisely obtain before the operation. Besides some articles used biomarkers such as p53 and squamous cell carcinoma antigen to predict inguinal lymph node positive rate and prognosis of penile cancer, but they were not applied to clinical practice [6, 7]. So we hope to find some markers that is associated with inguinal lymph nodes metastatic or can predict the outcomes.
As we known that systemic inflammatory factors play an significant role in cancer progression [8, 9]. The tumor micro-environment regulated by inflammatory cells is clearly related to cancer progression [8]. Systemic inflammatory factors are obviously reflected by changes of peripheral leukocyte, lymphocytes,neutrophils, monocytes and platelets. These factors above mentioned can reflect the tumor micro environment indirectly [8], so we collected the data of peripheral blood parameters including the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR) which have been reported to be independent prognostic factors in various of cancers [8, 1014]. Besides, high lactate dehydrogenase (LDH) has also shown that associated with poor OS in urologic cancer [15].
Recently it has been reported that cancer patients with high NLR is associated with worse OS [16] and worse RFS and CSS [17, 18]. However, there has been no study evaluating the PLR associated with outcomes of penile cancer. In this retrospective study, we investigated the role of NLR, LMR, PLR and LDH before surgery to predicting whether micro-metastases of inguinal lymph node exist and assessed the prognostic value in penile cancer.

Methods

We reviewed our electronic medical records system to identify men treated for penile SCC at Yunnan cancer hospital in China between October 2002 and December 2017. Experimental procedures were approved by the Human Ethics Committee of Yunnan Cancer Hospital.A total of 349 consecutive patients treated with ILND in PSCC, 225 was succeed to follow-up, Epidemiological and clinical data, including age, preoperative full blood count results NLR, LMR, PLR LDH and TNM clinical staging, tumor pathology, treatment history and oncological outcome (OS, PFS). Survival analysis was performed by the Kaplan–Meier method for univariable analysis and Cox regression method for multivariable analysis. The NLR was calculated by neutrophil-to-lymphocyte ratio, LMR was lymphocyte-to-monocyte ratio and PLR was platelet-to lymphocyte ratio which were obtained through peripheral complete blood count and blood biochemistry before the surgery. We calculate the cut-off point of the Ages, NLR, LMR, PLR and LDH according to the area under curve (AUC) given consideration to sensitivity and specificity levels.
The primary end point were overall survival (OS) and progression free survival (PFS) which defined as the time from the dates of pathological diagnosis to death and tumor progression. Univariable analysis (K-M analysis) was performed to compare the higher and lower groups of NLR, LMR, PLR and LDH. Multivariable analysis (COX logistic regression) were used to verify the individual factors respectively. P values less than 0.05 were considered statistical significance.
We also analyse the relation between the NLR, LMR, PLR, LDH and N stage through the logistic regression, meantime we use method of Kendall’s tau-b correlation coefficient to determine the correlation.

Results

NLR, LMR, PLR, LDH vs OS/PFS

A total of 225 patients had collected peripheral complete blood count and blood biochemistry before surgery. The mean (±SD) ages were 50.6 ± 13.4. The detailed data of patients are summarized in Table 1. We performed AUC curve to determine the Age, NLR, LMR, PLR and LDH cut-off value which were 53,2.94,4.74,133.5 and 188.5 respectively. The median interquartile range follow-up was 30 (16.0–63.5) months. Among the 225 patients, 171 was survival which the median interquartile range follow-up was 34 (18.0–84.0) months; 150 was disease free which the median interquartile range follow-up was 33 (18.0–85.25) months; 29 was alive with disease progression,8 was dead of other causes.
Table 1
Patients’ characteristics
Variable
 
NLR
 
LMR
 
PLR
 
LDH
 
All n=225
NLR≤2.94
NLR>2.94
p
LMR≤4.74
LMR>4.74
p
PLR≤133.5
PLR>133.5
p
LDH≤188.5
LDH>188.5
p
Age, y
   
0.296
  
0.169
  
0.566
  
0.184
 <53
140
103
37
 
55
85
 
105
35
 
115
25
 
 ≥53
85
54
31
 
45
40
 
55
30
 
65
20
 
Tumor type
   
0.026
  
0.091
  
0.131
  
0.943
 benign
44
35
9
 
17
27
 
38
6
 
35
9
 
 well
96
69
27
 
39
57
 
62
34
 
79
17
 
 moderate
74
49
25
 
35
39
 
52
22
 
59
15
 
 poor
8
4
4
 
7
1
 
6
2
 
6
2
 
 others
3
0
3
 
2
1
 
2
1
 
2
1
 
Anatomic stage
   
0.002
  
0.063
  
0.005
  
0.076
 0
44
33
9
 
17
25
 
36
6
 
33
9
 
 I
67
51
16
 
23
44
 
48
19
 
57
10
 
 II
39
28
11
 
18
21
 
31
8
 
33
6
 
 III
62
41
21
 
31
31
 
39
22
 
50
12
 
 IV
15
4
11
 
11
4
 
6
9
 
8
7
 
N stage
   
0.001
  
0.024
  
0.009
  
0.053
 0
148
112
36
 
58
90
 
115
33
 
123
25
 
 1
28
15
13
 
18
10
 
15
13
 
24
4
 
 2
36
26
10
 
15
21
 
24
12
 
27
9
 
 3
13
4
9
 
9
4
 
6
7
 
7
6
 
M
   
0.008
  
0.051
  
0.146
  
0.545
 0
222
157
65
 
97
125
 
159
63
 
179
43
 
 1
3
0
3
 
3
0
 
1
2
 
2
1
 
Initial treatment
   
0.004
  
0.094
  
0.863
  
0.052
 surveillance
23
10
13
 
14
9
 
16
7
 
15
8
 
 surgery
225
147
55
 
85
116
 
144
59
 
166
36
 
Recurrence
   
0.01
  
0.635
  
0.004
  
0.235
 no
150
113
37
 
65
85
 
116
34
 
124
26
 
 yes
75
44
31
 
35
40
 
44
31
 
57
18
 
Vital status
   
0.000
  
0.001
  
0
  
0.003
 Alive
171
131
40
 
65
106
 
134
37
 
145
26
 
 Dead
54
26
28
 
35
19
 
26
28
 
36
18
 
On Kaplan-Meier analysis, NLR > 2.94 was associated with inferior OS (log-rank p = 0.001), and inferior PFS (log-rank p = 0.004) in Figs. 1 and 2; LMR > 4.74 was associated with inferior OS (log-rank p = 0.001), but not associated with PFS (log-rank p = 0.547) in Figs. 3 and 4; PLR > 133.5 was associated with inferior OS (log-rank p < 0.001) and inferior PFS (log-rank p = 0.001) in Figs. 5 and 6. LDH < 188.5 was associated with inferior OS (log-rank p = 0.004), but not associated with PFS (log-rank p = 0.155) in Figs. 7 and 8.
In univariable analyses, NLR > 2.94 was associated with inferior OS (HR = 2.967; 95% CI: 1.739–5.064, p < 0.001) and inferior PFS (HR = 1.944; 95% CI: 1.226–3.081,p = 0.005); LMR > 4.74 was associated with inferior OS (HR = 0.394; 95% CI: 0.225–0.689, p = 0.001) and not associated with inferior PFS (HR = 0.871; 95% CI: 0.553–1.372,p = 0.551); PLR > 133.5 was associated with inferior OS (HR = 3.439; 95% CI: 2.011–5.881, p < 0.001) and inferior PFS (HR = 2.194; 95% CI: 1.384–3.478,p = 0.001); LDH > 188.5 was associated with inferior OS (HR = 2.252; 95% CI: 1.267–4.002, p = 0.006) and not associated with inferior PFS (HR = 1.462; 95% CI: 0.859–2.487,p = 0.162).
We performed a multivariate analysis which reveal NLR was not significant independent factors for OS(p = 0.516) and PFS(p = 0.594); LMR was not associated with OS(p = 0.97) and PFS; PLR was significant independent factors for both OS(p = 0.001) and PFS(p = 0.02); LDH was significant independent factors for OS(P = 0.035) but not for PFS. At multivariate analysis, lymph node status (P = 0.03) and metastasis status remained significant for OS and PFS as NCCN or EAU Guidelines indicated; However, ages, the tumor type and initial treatment was not significant for OS and PFS in multivariable analyses (Table 2).
Table 2
Cox regression model for OS and PFS
Variables
OS
PFS
Univariable
Multivariable
Univariable
Multivariable
HR
95%CI
p
HR
95%CI
p
HR
95%CI
p
HR
95%CI
p
Ages
 <53
reference
1.077-3.174
0.026
reference
1.055-3.983
0.035
reference
0.785-1.974
0.352
   
 ≥53
1.849
  
1.961
  
1.245
     
Tumor type
 benign tumor
reference
 
0.002
reference
 
0.205
reference
 
0.006
reference
 
0.135
 Well
0.97
0.021-0.448
 
0.305
0.054-1.715
 
0.046
0.039-0.970
 
0.405
0.075-2.186
 
 moderate
0.211
0.060-0.737
 
0.22
0.052-0.938
 
0.332
0.116-2.070
 
0.51
0.111-2.336
 
 poor
0.447
0.130-1.541
 
0.419
0.106-1.655
 
0.868
0.211-3.716
 
0.895
0.201-3.982
 
 others
0.594
0.130-2.719
 
0.265
0.051-1.378
 
0.646
0.109-3.944
 
0.301
0.043-2.112
 
Inguinal lymph node
 negigitve
reference
5.243-20.918
0.000
reference
3.224-15.784
0.000
reference
3.096-8.080
0.000
reference
2.198-6.250
0.000
 positive
10.472
  
7.133
  
5.002
  
3.706
  
Metastasis
 0
reference
6.637-85.927
0.000
reference
2.223-40.238
0.002
reference
2.484-26.505
0.001
reference
1.184-18.072
0.028
 1
23.881
  
9.458
  
8.114
  
4.626
  
Initial treatment
 surveillance
reference
0.222-0.937
0.033
reference
0.18-1.006
0.052
reference
0.345-1.307
0.241
   
 surgery
0.456
  
0.425
  
0.671
     
NLR
 low NLR
reference
1.739-5.064
0.000
reference
0.605-2.718
0.516
reference
1.226-3.081
0.005
reference
0.679-1.966
0.594
 high NLR
2.967
  
1.283
  
1.944
  
1.115
  
LMR
 low LMR
reference
0.025-0.689
0.001
reference
0.448-2.164
0.97
reference
0.553-1.372
0.871
   
 high LMR
0.394
  
0.985
  
0.551
     
PLR
 low PLR
reference
2.011-5.881
0.000
reference
1.644-6.171
0.001
reference
1.384-3.478
0.001
reference
1.104-3.242
0.02
 high PLR
3.439
  
3.186
  
2.194
  
1.892
  
LDH
 low LDH
reference
1.267-4.002
0.006
reference
1.051-3.808
0.035
reference
0.859-2.487
0.162
   
 high LDH
2.252
  
2
  
1.462
     

NLR LMR PLR LDH vs inguinal lymph node-negative/positive

In logistic regression analyses, NLR (HR = 2.212; 95% CI: 1.228–3.985,p = 0.008), LMR (HR = 0.537; 95% CI: 0.308–0.937,p = 0.029), PLR (HR = 2.478; 95% CI:1.365–4.497,p = 0.003) was significant corresponded to N stage which divided into the Node-negative group and Node-positive groups, however the LDH (p = 0.165) was not associated with the N stage. Meantime we also use Kendall’s tau-b method to evaluated the correlations, NLR (Kendall’s tau-b = 0.131, P = 0.017) LMR (Kendall’s tau-b = − 0.109, P = 0.046) PLR (Kendall’s tau-b = 0.161, P = 0.003) were weakly correlated to the N stage. In other words, higher NLR, PLR and lower LMR was more likely to detected pathologically positive inguinal lymph node after ILND. The biomarkers of NLR LMR and PLR could predict the pathological outcomes of ILND.

Discussion

In recent years, the role of inflammatory factors in cancer development and progression has received more attention. The tumor micro-environment may be associated with systemic inflammation. Several types of cancer have been adopt inflammatory factors in prognostic scores for predict the outcome [19] and IMDC scores of advanced renal cell carcinoma also added those factors.
Recently, an elevated ratio of peripheral neutrophils-to-lymphocytes (NLR) has been recognized as a poor prognostic indicator in penile cancer, Patients with a high NLR had significantly worse CSS [17, 18] and OS [16];Patients with a low LMR had significantly worse RFS and CSS than those with a high LMR [18].
However, there is no date about the PLR and LDH in penile cancer, this paper aims to collect data from China and conduct comparative analysis of NLR, LMR, PLR and LDH, these bio-markers are critical in guiding clinical management decisions and follow-up strategies.
The incidence of penile cancer itself is very low, so it is difficult to analyze with a large sample size. The incidence of penile cancer is relatively high in China, especially in Yunnan Province, so the sample size of this paper is relatively large.
In addition, it is difficult to judge whether there is lymph node metastasis before ILND, therefore, we also hope to assist in judgment whether there is lymph node metastasis from these indicators, so that we can choose the different surgical approach.
We acknowledge the several limitations to this study including inherent biases associated with its retrospective design, insufficient time to follow-up and population heterogeneity. Besides, more than 20% of the patients were lost to follow-up which may affect the statistical results.
We originally wanted to analyze C-reactive protein (CRP) at the same time. Since the early patients failed to perform CRP testing uniformly, the indicator failed to enter the analysis.

Conclusion

PLR was significant independent factors for OS and PFS, Ages and LDH was significant independent factors for OS. NLR, LMR, PLR was corresponded to N stage.

Acknowledgments

Not applicable.
The experimental protocol was approved by the Human Ethics Committee of Yunnan Cancer Hospital. Access and use the data records was granted by The Human Ethics Committee of Yunnan Cancer Hospital. All data was anonymised before its use.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Metadaten
Titel
Prognostic value of systemic inflammatory factors NLR, LMR, PLR and LDH in penile cancer
verfasst von
Chen Hu
Yu Bai
Jun Li
Guoyin Zhang
Libo Yang
Chengwei Bi
Bin Zhao
Yong Yang
Ruiqian Li
Hongyi Wu
Qilin Wang
Yang Qin
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Urology / Ausgabe 1/2020
Elektronische ISSN: 1471-2490
DOI
https://doi.org/10.1186/s12894-020-00628-z

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