Literature DB >> 28264659

The C-reactive protein/albumin ratio, a validated prognostic score, predicts outcome of surgical renal cell carcinoma patients.

Shengjie Guo1, Xiaobo He2, Qian Chen3, Guangwei Yang2, Kai Yao1, Pei Dong1, Yunlin Ye1, Dong Chen1, Zhiling Zhang1, Zike Qin1, Zhuowei Liu1, Yunfei Xue4, Meng Zhang4, Ruiwu Liu5, Fangjian Zhou6, Hui Han7.   

Abstract

BACKGROUND: The preoperative C-reactive protein/Albumin (CRP/Alb) ratio has been shown to be valuable in predicting the prognosis of patients with certain cancers. The aim of our study is to explore its prognostic value in patients with renal cell carcinoma (RCC).
METHODS: A retrospective study was performed in 570 RCC patients underwent radical or partial nephrectomy including 541 patients who received full resection of localized (T1-3 N0/+ M0) RCC. The optimal cutoff value of CRP/Alb was determined by the receive operating characteristic (ROC) analysis. The impact of the CRP/Alb and other clinicopathological characteristics on overall survival (OS) and disease-free survival (DFS) was evaluated using the univariate and multivariate Cox regression analysis.
RESULTS: The optimal cutoff of CRP/Alb ratio was set at 0.08 according to the ROC analysis. Multivariate analysis indicated that CRP/Alb ratio was independently associated with OS of RCC patients underwent radical or partial nephrectomy (hazard ratio [HR]: 1.94; 95% confidence interval [95% CI]: 1.12-3.36; P = 0.018), and DFS of localized RCC patients underwent full resection (HR: 2.14; 95% CI: 1.22-3.75; P = 0.008).
CONCLUSION: Elevated CRP/Alb ratio was an independent prognostic indicator for poor OS in patients underwent radical or partial nephrectomy and DFS of localized RCC patients underwent full resection. Overall, CRP/Alb may help to identify patients with high relapse risk.

Entities:  

Keywords:  C-reactive protein/albumin ratio; Prognostic score; Renal cell carcinoma; Surgical resection

Mesh:

Substances:

Year:  2017        PMID: 28264659      PMCID: PMC5339967          DOI: 10.1186/s12885-017-3119-6

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Renal cell carcinoma (RCC) is the most common malignancy in females with urological tumors and ranks the third place in males after prostate and bladder cancers [1]. Broad applications of radiological technologies especially abdominal ultrasound or computerized tomography have led to increase in detection of renal tumors in relatively small size and localized in the kidney [2]. Patients with localized diseases usually undergo curative whole or partial nephrectomy. However, up to 40% patients will eventually relapse with secondary tumors at distant sites [3, 4]. At first presentation, one-third of all RCC patients will have established metastatic renal cell carcinoma (mRCC). Despite the introduction of molecular targeted therapies, the overall 5-year survival rate of this patient group rarely exceeds 10% [5, 6]. In addition, RCC is characterized by chemo- and radio-resistance. The clinical course in localized RCC is difficult to predict, even within patients who have similar clinic-pathological parameters, such as tumor stage and grade [7, 8]. Therefore, it is important to identify promising prognostic factors to guide patient management after curative surgery treatment. Increasing evidences have demonstrated the role of inflammation in carcinogenesis and tumor progression. The prognostic value of many inflammation-based scores, such as preoperative C-reactive protein (CRP), the Glasgow Prognostic Score (GPS), modified Glasgow prognostic score (mGPS), high-sensitivity modified Glasgow prognostic score (HS-mGPS), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), has been validated in many types of cancer, including RCC [9-13]. Additionally, some studies have demonstrated that the preoperative nutritional status, such as hypoalbuminemia, weight loss and low body mass index (BMI), are associated with worse outcomes of RCC patients after radical or partial nephrectomy [14, 15]. Recently, a new prognostic index, preoperative C-reactive protein/albumin (CRP/Alb) ratio, in combination with the systemic inflammation and nutritional status, has also been reported as an independent prognostic marker in hepatocellular cancer (HCC), gastric cancer (GC) and small-cell lung cancer (SCLC) [16-18]. Although Chen et al. reported the prognostic influence of CRP/Alb ratio on overall survival (OS) of patients with clear cell renal carcinoma [19], its prognostic role in RCC still need to be further explored. In this retrospective study, we examined the prognostic value of CRP/Alb ratio in patients with RCC and investigated the relationship between CRP/Alb ratio and the clinical outcomes of RCC patients.

Methods

Patients

We executed a retrospective cohort study of 912 consecutive RCC patients who underwent radical or partial nephrectomy between January 2000 and December 2012 in Sun Yat-sen University Cancer Center (SYSUCC). The inclusion criteria were as follows: 1) patients were cytologically or histologically diagnosed with RCC; 2) data on complete blood laboratory measurements included serum CRP and albumin (Alb) within one week before performing radical or partial nephrectomy. Patients without blood laboratory measurements prior to surgical resection, patients with active inflammatory disease and patients with other malignancies were excluded from the study. At last, a total of 570 patients were enrolled in the study. This retrospective study was conducted in accordance with the standards of the Declaration of Helsinki and was approved by the Sun Yat-sen University Cancer Center research ethics committee (Number: GZR2016-100). All patients have provided written informed consent for their information to be stored and used in the hospital database.

Clinical data extraction

The baseline clinical and pathologic characteristics were collected, including age at the time of surgery, gender, BMI, lactate dehydrogenase (LDH), urine protein, alkaline phosphatase (ALP), serum creatinine (CRE), uric acid (UA), total protein, serum globulin, neutrophil count, lymphocyte count, platelet count, disease stage and histology by using a standard data extraction system. Elevated ALP level was defined as serum ALP > 135 U/L. Elevated LDH was defined as serum LDH > 245 U/L. Elevated CRE was defined as serum CRE > 130 μmol/L. Elevated UA was defined as UA > 420 μmol/L. Elevated total protein was as total protein > 80 g/L. Elevated globulin was defined as globulin > 35 g/L. Tumor stage was determined based on the 2010 TNM classification of malignant tumors staging system and tumor grade was defined according to the Fuhrman grading system. All the blood samples were tested prior to initial treatment. The NLR, PLR and CRP/Alb ratio were calculated based on the following equations, respectively.

Patients follow-up

A dynamic computed tomogram was performed every 3 months in two years, 6 months in 2–5 years and 1 year after 5 years. The last survival follow-up date was November 01, 2015. Overall survival (OS) was calculated from the date of surgery to the date of death or last follow-up. Disease-free survival (DFS) was calculated from the date of surgery to the date of disease recurrence or metastasis or the last follow-up in localized RCC patients who underwent full resection.

Statistical analysis

Descriptive statistics of patients’ characteristics (i.e. age and BMI) were presented as mean ± SD (standard deviation). Comparisons between groups were performed using the Kruskal-Wallis or χ2 test. Pearson correlation was performed to evaluate the relationship of serum CRP and Alb with OS. The optimal cut-off points for the inflammation-based factors were determined by receive operating characteristic (ROC) analysis and the areas under the curve (AUC) were calculated. Survival analysis and curves were performed according to the Kaplan-Meier method and compared by the log-rank test. A Cox proportional-hazard model for multivariable analysis was applied for variables that proved to be significant in the univariate analysis. Hazard ratios (HR) with 95% confidence interval (95% CI) were also calculated using univariate or multivariate analysis. If variables were significantly associated with other variables, they were excluded from the final multivariable analysis. Statistical analyses were performed using IBM SPSS 21.0 software (IBM Corporation, Armonk, NY). Differences at p < 0.05 were considered to be significant in all statistical analyses.

Results

Patient demographics and outcomes

The clinicpathological characteristics of the 570 RCC patients were summarized in Table 1. Their mean age was 51.43 ± 13.52 years old and their mean and median follow-up periods were 65.19 and 63.54 months, respectively. Among them, 382 (67%) were males and 188 (33%) were females; 81 (14.2%) died and 489 (85.8%) survived at last follow-up. There were 451 (79.10%) patients with clear cell, 41 (7.20%) with papillary, 78 (13.70%) with others RCC (such as 27 (4.70%) with chromophobe, 10 (1.80%) with multilocular cystic, 41 (7.20%) with other histological types of RCC). The overall cancer-specific survival (CSS) was 93.1% at 1 year, 89.6% at 2 years, and 81.6% at 5 years.
Table 1

Baseline characteristics of all patients (n = 570)

CharacteristicsCases (n = 570)Percentage (%)
Age (years) (Mean ± SD)51.43 ± 13.52
BMI (Mean ± SD)23.57 ± 3.59
Gender
 Male38267.00
 Female18833.00
Pathological types
 Clear cell carcinoma45179.10
 Papillary carcinoma417.20
 Others7813.70
Fuhrman-grade
 I11920.90
 II24943.70
 III6010.50
 IV71.20
 Unknown13523.70
pTNM stage
 I39769.60
 II8514.90
 III5910.40
 IV295.10
pT status
 T140771.40
 T29416.50
 T3+ T46912.10
pN status
 N053593.90
 N1356.10
pM status
 M055096.50
 M1203.50
Urine protein
 No46080.70
 Yes284.90
 Unknown8214.40
ALP
 Normal52592.10
 Elevated457.90
LDH
 Normal46882.10
 Elevated10217.90
CRE
 Normal54695.80
 Elevated244.20
UA
 Normal46180.90
 Elevated10919.10
Total protein
 Normal50388.20
 Elevated6711.80
Serum globulin
 Normal36063.20
 Elevated21036.80
NLR
 < 1.8524242.50
  ≥ 1.8532857.50
PLR
 < 15341873.30
  ≥ 15315226.70
CRP/Alb
 < 0.0839368.90
  ≥ 0.0817731.10

Abbreviation: BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE serum creatinine, UA uric acid, LDH lactate dehydrogenase, NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level

Baseline characteristics of all patients (n = 570) Abbreviation: BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE serum creatinine, UA uric acid, LDH lactate dehydrogenase, NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level

The relationship of serum CRP and Alb with OS

We explored the association of the serum CRP and Alb with OS. The results showed a significant negative correlation between serum CRP level and OS (r = −0.141, P < 0.001) (Additional file 1: Figure S1a) and a significant positive correlation between serum Alb level and OS (r =0.317, P < 0.001) (Additional file 1: Figure S1b).

The optimal cut-off value of inflammation-based factors by the ROC analysis

Based on the area under ROC curve (AUC) of 0.715 (P < 0.001) for survival in the ROC analysis, the optimal cut-off value was 0.08 for CRP/Alb ratio. 1.85 for NLR and 153 for PLR, respectively. The sensitivity and specificity of CRP/Alb ratio were 66.7 and 75.1%, respectively. In addition, the ability to distinguish CRP/Alb ratio from other inflammation-based prognostic factors was compared using the levels of AUC. The results showed that was 0.675 and 0.704 for NLR and PLR, respectively (Fig. 1 and Additional file 2: Table S1). Based on the cut-off value of CRP/Alb ratio, 177(31.1%) patients were assigned into low CRP/Alb group and 393 (68.9%) patients were in the high CRP/Alb group.
Fig. 1

The predictive ability of the preoperative NLR, PLR and CRP/Alb ratio was compared by ROC curves

The predictive ability of the preoperative NLR, PLR and CRP/Alb ratio was compared by ROC curves

The clinicopathological characteristics and the preoperative CRP/Alb ratio

The clinicopathological characteristics of all patients are described in Table 2. An elevated CRP/Alb ratio was significantly associated with the Fuhrman-grade (P < 0.001), T stage (P < 0.001), N stage (P < 0.001), M stage (P < 0.001), ALP (P = 0.018), LDH (P = 0.004), NLR (P < 0.001) and PLR (P < 0.001). For patients in the low CRP/Alb ratio group, 94.7% were at stag T1/T2 and 5.3% at stage T3/T4. However, for patients in the high CRP/Alb ratio group, only 72.9% patients were at stage T1/T2 and 27.1% at T3/T4 (P < 0.001). Similarly, the percentage of patients at stage N0/N1 was 97.2%/2.8% and that of patients at stage M0/M1 was 99.2%/0.8% in patients in the low CRP/Alb ratio group. By comparison, the percentage of patients at N0/N1 was 86.4%/13.6% and at stage M0/M1 was 90.4%/9.6% in the high CRP/Alb ratio group (P < 0.001). These results indicate that CRP/Alb ratio is associated with the disease progression and low CRP/Alb ratio is related with the early stage of RCC.
Table 2

Clinicopathological variables of patients according to the cutoff value of CRP/Alb ratio

CharacteristicsCRP/Alb < 0.08(n = 393)CRP/Alb ≥ 0.08(n = 177) P value
Age (years)48.71 ± 12.9855.25 ± 13.92<0.001a
BMI23.65 ± 3.3723.41 ± 4.020.290a
Gender0.219b
 Male257 (65.40%)125 (70.60%)
 Female136 (34.60%)52 (29.40%)
Pathological types0.315b
 Clear cell carcinoma308 (81.20%)43 (80.80%)
 Papillary carcinoma26 (3.80%)15 (8.50%)
 Others59 (15.00%)19 (10.70%)
Fuhrman-grade<0.001b
 I92 (23.40%)27(15.30%)
 II178(45.30%)71(40.10%)
 III31(7.90%)29(16.40%)
 IV2(0.50%)5(2.80%)
 Unknown90(22.90%)45(25.40%)
pTNM stage<0.001b
 I313(79.60%)84(47.50%)
 II53(13.50%)32(18.10%)
 III22(5.60%)37(20.90%)
 IV5 (1.30%)24(13.60%)
pT status<0.001b
 T1318 (80.90%)89 (50.30%)
 T254 (13.70%)40 (22.60%)
 T3+ T421 (5.30%)48 (27.10%)
pN status<0.001b
 N0382 (97.20%)153 (86.40%)
 N111 (2.80%)24 (13.60%)
pM status<0.001b
 M0390 (99.20%)160 (90.40%)
 M13 (0.80%)17 (9.60%)
Urine protein0.188b
 No319 (81.20%)141 (79.7%)
 Yes15 (3.80%)13 (7.3%)
 Unknown59 (15.00%)23 (13.00%)
ALP0.018b
 Normal369 (93.90%)156 (88.10%)
 Elevated24 (6.10%)21 (11.90%)
LDH0.004b
 Normal335 (85.20%)133 (75.10%)
 Elevated58 (14.80%)44 (24.90%)
CRE0.001b
 Normal384 (97.70%)162 (91.50%)
 Elevated9 (2.30%)15 (8.50%)
UA0.468b
 Normal321 (81.70%)140 (79.10%)
 Elevated72 (18.30%)37 (20.90%)
Total protein0.144b
 Normal352 (89.60%)151 (85.30%)
 Elevated41 (10.40%)26 (14.70%)
Serum globulin
 Normal273 (69.50%)87 (49.20%)<0.001b
 Elevated120 (30.50%)90 (50.80%)
NLR<0.001b
 < 1.85205 (52.20%)37 (20.90%)
  ≥ 1.85188 (47.80%)140 (79.10%)
PLR<0.001b
 < 153324 (82.40%)94 (53.10%)
  ≥ 15369 (17.60%)83 (46.90%)

Abbreviation: BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE serum creatinine, UA uric acid, LDH lactate dehydrogenase, NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level

aKruskal-Wallis test

bChi-square test

Clinicopathological variables of patients according to the cutoff value of CRP/Alb ratio Abbreviation: BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE serum creatinine, UA uric acid, LDH lactate dehydrogenase, NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level aKruskal-Wallis test bChi-square test

The relationship between the preoperative CRP/Alb ratio and OS in all RCC patients

Compared with high CRP/Alb ratio, patients with low CRP/Alb ratio had longer OS (CRP/Alb˂0.08 vs. ≥0.08, mean OS: 164.87 vs 79.92 months, P˂0.001) (Fig. 2b). Similarly, longer OS was also observed in patients in the low CRP/Alb group at early stage T1/T2 (P˂0.001), at the advanced stage T3/T4 (P = 0.003), at N0 (P˂0.001), N1(P = 0.006), M0 (P˂0.001) stages, but not at M1stage (P = 0.869) (Fig. 3).
Fig. 2

Kaplan-Meier curves depicting DFS (n = 541) and OS (n = 570) according to the preoperative optimal value of CRP/Alb in patients with renal cell carcinoma. a Kaplan-Meier analysis of DFS in 541 patients. b Kaplan-Meier analysis of OS in 570 patients

Fig. 3

Kaplan-Meier curves showing OS according to the preoperative optimal value of CRP/Alb in 570 patients with renal cell carcinoma. Patients were stratified according to the pT-status, pN-status, and pM-status. a Kaplan-Meier analysis of OS in T1-2 subgroup. b Kaplan-Meier analysis of OS in T3-4 subgroup. c Kaplan-Meier analysis of OS in N0 subgroup. d Kaplan-Meier analysis of OS in N1 subgroup. e Kaplan-Meier analysis of OS inM0 subgroup. f Kaplan-Meier analysis of OS in M1 subgroup

Kaplan-Meier curves depicting DFS (n = 541) and OS (n = 570) according to the preoperative optimal value of CRP/Alb in patients with renal cell carcinoma. a Kaplan-Meier analysis of DFS in 541 patients. b Kaplan-Meier analysis of OS in 570 patients Kaplan-Meier curves showing OS according to the preoperative optimal value of CRP/Alb in 570 patients with renal cell carcinoma. Patients were stratified according to the pT-status, pN-status, and pM-status. a Kaplan-Meier analysis of OS in T1-2 subgroup. b Kaplan-Meier analysis of OS in T3-4 subgroup. c Kaplan-Meier analysis of OS in N0 subgroup. d Kaplan-Meier analysis of OS in N1 subgroup. e Kaplan-Meier analysis of OS inM0 subgroup. f Kaplan-Meier analysis of OS in M1 subgroup Table 3 shows the results of the univariate and multivariate analysis of OS. It is clear from the univariate analysis that the CRP/Alb ratio is associated with the OS of RCC patients (HR: 5.55; 95% CI: 3.48–8.86; P < 0.001). After excluding the related variables, the significant variables (age, BMI, T stage, N stage, M stage, NLR, PLR and CRP/Alb ratio) were tested in the multivariate analysis. The multivariate analysis indicated that the CRP/Alb ratio (HR: 1.94; 95% CI: 1.12–3.36; P =0. 018) is an independent prognostic factor for OS in addition to N stage (HR: 3.62; 95% CI: 1.91–6.85; P < 0.001), M stage (HR: 3.12; 95% CI: 1.57–6.19; P = 0.001) and PLR (HR: 2.42; 95% CI: 1.43–4.07; P < 0.001), but not LDH and NLR.
Table 3

Univariate and multivariate analyses for variables considered for overall survival (OS) (Cox proportional hazard regression model) (n = 570)

OS Univariate analysisOS Multivariate analysis
Characteristics95% CIsHR P value95% CIsHR P value
Age (years)1.01 to 1.051.03<0.001a 1.01 to 1.051.03<0.001b
BMI0.82 to 0.930.87<0.001a 0.84 to 0.970.910.007b
Gender
 Male1.00(ref.)
 Female0.73 to 1.821.160.532a
Pathological types
 Clear cell carcinoma1.00(ref.)1.00(ref.)
 Papillary carcinoma1.36 to 4.722.530.003a 0.67 to 4.391.720.258b
 Others0.70 to 2.421.300.414a 0.64 to 3.991.600.312b
Fuhrman-grade
 I1.00(ref.)1.00(ref.)
 II0.68 to 2.821.390.365a 0.72 to 3.211.520.269b
 III1.46 to 7.143.230.004a 0.57 to 3.091.330.507b
 IV1.70 to 22.126.140.006a 0.43 to 6.081.620.474b
 unknown1.25 to 5.192.550.010a 0.43 to 2.551.050.922b
pTNM stage
 I1.00(ref.)
 II1.27 to 4.852.480.008a
 III3.51 to 11.406.33<0.001a
 IV14.54 to 46.5426.01<0.001a
pT status
 T11.00(ref.)1.00(ref.)
 T21.76 to 5.463.10<0.001a 1.20 to 3.902.160.011b
 T3+ T44.72 to 12.927.81<0.001a 0.91 to 3.131.690.098b
pN status
 N01.00(ref.)1.00(ref.)
 N16.42 to 17.0910.47<0.001a 1.91 to 6.853.62<0.001b
pM status
 M01.00(ref.)1.00(ref.)
 M18.71 to 26.1215.08<0.001a 1.57 to 6.193.120.001b
Urine protein
 No1.00(ref.)
 Yes0.46 to 2.841.140.773a
 Unknown0.48 to 1.740.920.787a
ALP
 Normal1.00(ref.)
 Elevated0.61 to 2.631.270.527a
LDH
 Normal1.00(ref.)
 Elevated0.84 to 2.341.400.203a
CRE
 Normal1.00(ref.)
 Elevated0.78 to 4.071.780.175a
UA
 Normal1.00(ref.)
 Elevated0.77 to 4.081.780.176a
Total protein
 Normal1.00(ref.)
 Elevated0.77 to 2.541.400.265a
Serum globulin
 Normal1.00(ref.)1.00(ref.)
 Elevated1.66 to 4.032.59<0.001a 0.84 to2.311.390.203b
NLR
 < 1.851.00(ref.)1.00(ref.)
  ≥ 1.853.08 to 11.595.97<0.001a 0.97 to 4.322.050.060b
PLR
 < 1531.00(ref.)1.00(ref.)
  ≥ 1533.49 to 8.565.46<0.001a 1.43 to 4.072.42<0.001b
CRP/Alb
 < 0.081.00(ref.)1.00(ref.)
  ≥ 0.083.48 to 8.865.55<0.001a 1.12 to 3.361.940.018b

Abbreviation: HR hazard ratio, CIs confidence intervals, BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE, serum creatinine, UA, uric acid, LDH lactate dehydrogenase, NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level

aUnivariate Cox proportional hazard regression

bMultivariate Cox proportional hazard regression

Univariate and multivariate analyses for variables considered for overall survival (OS) (Cox proportional hazard regression model) (n = 570) Abbreviation: HR hazard ratio, CIs confidence intervals, BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE, serum creatinine, UA, uric acid, LDH lactate dehydrogenase, NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level aUnivariate Cox proportional hazard regression bMultivariate Cox proportional hazard regression

The relationship between the preoperative CRP/Alb ratio and DFS in localized (T1-3 N0/+ M0) RCC patients underwent full resection

The clinicopathological characteristics of 541 localized (T1-3 N0/+ M0) RCC patients underwent full resection were summarized in Additional file 3: Table S2. CRP/Alb ratio was used to analyze the DFS of these patients, who were considered as received the curative treatment. Among them, patients with low CRP/Alb ratio had longer DFS event than patients in the high CRP/Alb ratio group (CRP/Alb˂0.08 vs. ≥0.08, mean DFS: 166.75 vs 85.58 months, P˂0.001) (Fig. 2a). In addition, DFS of patients at stages T1, T2, T3,N0 and N1 in the low CRP/Alb ratio group also had longer DFS event than patients in the high CRP/Alb ratio group (P < 0.001, P = 0.032, P = 0.044, P < 0.001 and P = 0.004, respectively) (Fig. 4).
Fig. 4

Kaplan-Meier curves showing DFS according to the preoperative optimal value of CRP/Alb in 541 patients with renal cell carcinoma. Patients were stratified according to the pT-status, pN-status. a Kaplan-Meier analysis of DFS in T1 subgroup. b Kaplan-Meier analysis of DFS in T2 subgroup. c Kaplan-Meier analysis of DFS in T3 subgroup. d Kaplan-Meier analysis of DFS in N0 subgroup. e Kaplan-Meier analysis of DFS in N1 subgroup

Kaplan-Meier curves showing DFS according to the preoperative optimal value of CRP/Alb in 541 patients with renal cell carcinoma. Patients were stratified according to the pT-status, pN-status. a Kaplan-Meier analysis of DFS in T1 subgroup. b Kaplan-Meier analysis of DFS in T2 subgroup. c Kaplan-Meier analysis of DFS in T3 subgroup. d Kaplan-Meier analysis of DFS in N0 subgroup. e Kaplan-Meier analysis of DFS in N1 subgroup Table 4 showed the results of univariate and multivariate analyses of DFS. It is clear from the univariate analysis results that CRP/Alb ratio is associated with DFS of localized RCC patients underwent full resection (HR: 4.22; 95% CI: 2.54–7.02; P <0.001). The multivariate analysis also indicated that CRP/Alb ratio (HR: 2.14; 95% CI: 1.22–3.75; P = 0.008) is an independent prognostic factor for DFS of these patients. In addition, age (HR: 1.03; 95% CI: 1.01–1.06; P <0.001), BMI (HR: 0.89; 95% CI: 0.82–0.97; P = 0.005), N stage (HR: 4.70; 95% CI: 2.19–10.09; P <0.001) and PLR (HR: 2.44; 95% CI: 1.38–4.32; P =0 .002) are also independent prognostic factors for DFS of RCC patients.
Table 4

Univariate and multivariate analyses for variables considered for disease-free survival (DFS) (Cox proportional hazard regression model) (n = 541)

DFS Univariate analysisDFS Multivariate analysis
Characteristics95% CIsHR P value95% CIsHR P value
Age (years)1.02 to 1.051.030.002a 1.01 to 1.061.03<0.001b
BMI0.79 to 0.930.86<0.001a 0.82 to 0.970.890.005b
Gender
 Male1.00(ref.)
 Female0.57 to 1.660.970.921a
Pathological types
 Clear cell carcinoma1.00(ref.)1.00(ref.)
 Papillary carcinoma1.15 to 4.802.350.019a 0.62 to 2.991.470.431b
 Others0.33 to 1.800.770.550a 0.32 to 1.910.780.587b
Fuhrman-grade
 I1.00(ref.)
 II0.62 to 2.681.280.504a
 III1.01 to 5.862.440.047a
 IV0.97 to 20.244.990.055a
 unknown0.68 to 3.401.530.299a
pTNM stage
 I1.00(ref.)
 II1.33 to 4.842.540.005a
 III3.54 to 11.086.26<0.001a
pT status
 T11.00(ref.)1.00(ref.)
 T21.57 to 5.032.81<0.001a 1.29 to 4.352.380.005b
 T32.20 to 8.034.20<0.001a 0.65 to 2.721.330.437b
pN status
 N01.00(ref.)1.00(ref.)
 N13.72 to 13.737.15<0.001a 2.19 to 10.094.70<0.001b
Urine protein
 No1.00(ref.)
 Yes0.44 to 3.401.230.691a
 Unknown0.28 to 1.490.640.301a
ALP
 Normal1.00(ref.)
 Elevated0.19 to 2.020.630.440a
LDH
 Normal1.00(ref.)
 Elevated0.84 to 2.691.510.168a
CRE
 Normal1.00(ref.)
 Elevated0.59 to 4.511.640.341a
UA
 Normal1.00(ref.)
 Elevated0.44 to 1.690.860.654a
Total protein
 Normal1.00(ref.)
 Elevated0.37 to 1.970.850.704a
Serum globulin
 Normal1.00(ref.)1.00(ref.)
 Elevated1.26 to 3.402.070.004a 0.69 to 2.051.190.533b
NLR
 < 1.851.00(ref.)1.00(ref.)
  ≥ 1.852.06 to 7.583.95<0.001a 0.78 to 3.371.620.193b
PLR
 < 1531.00(ref.)1.00(ref.)
  ≥ 1532.54 to 6.924.19<0.001a 1.38 to 4.322.440.002b
CRP/Alb
 < 0.081.00(ref.)1.00(ref.)
  ≥ 0.082.54 to 7.024.22<0.001a 1.22 to 3.752.140.008b

Abbreviation: HR hazard ratio, CIs confidence intervals, BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE serum creatinine, UA uric acid, LDH lactate dehydrogenase , NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level

aUnivariate Cox proportional hazard regression

bMultivariate Cox proportional hazard regression

Univariate and multivariate analyses for variables considered for disease-free survival (DFS) (Cox proportional hazard regression model) (n = 541) Abbreviation: HR hazard ratio, CIs confidence intervals, BMI body mass index, pTNM pathologic tumor–node–metastasis, ALP alkaline phosphatase, LDH lactate dehydrogenase, CRE serum creatinine, UA uric acid, LDH lactate dehydrogenase , NLR neutrophil count to lymphocyte count, PLR platelet count to lymphocyte count, CRP/Alb the serum CRP level to the serum Alb level aUnivariate Cox proportional hazard regression bMultivariate Cox proportional hazard regression

Discussion

In this study, we retrospectively analyzed the prognostic value of CRP/Alb ratio in 570 RCC patients received radical or partial nephrectomy in our institution. Among them, 541 patients with localized (T1-3 N0/+ M0) RCC and subjected to full resection were also analyzed. The results demonstrated that CRP/Alb ratio is an independent prognostic factor for patients with RCC. Although the basal CRP level is affected by genetic and environmental factors [20, 21], CRP is produced mainly by hepatocytes and is regulated by pro-inflammatory cytokines, especially interleukin-6 [22]. Increased CRP level has been reported in many types of cancers [23-25]. The potential mechanisms for the association of CRP with cancer have been proposed. (1) Tissue inflammation was caused by the tumor growth may result in increased CRP levels [26]. (2) The elevated CRP could be an indicative biomarker of immune responses to tumor antigens [27]. (3) Tumor cells could produce more inflammatory proteins including CRP [24] or enhanced interleukin-6 and interlukin-8 in tumor cells could indirectly increase CRP expression [28]. Jabs WJ et al. showed that activity of the IL-6/CRP network in RCC patients contributes to the acute-phase reaction in local inflammatory processes [29]. Other clinical data also showed that elevated CRP level is associated with poorer OS of RCC patients [30, 31] and CRP has a significant impact on OS of metastatic RCC patients treated with a tyrosine kinase inhibitor, either sunitinib or sorafenib [32, 33]. Hypoalbuminemia is not a perfect indicator of nutritional status because of its long half-life and the potential influence of system factors such as inflammation and stress on serum Alb. However, it is an easy, reproducible assessment and closely correlated with other markers of nutritional status [34]. In addition, serum Alb as a biomarker of protein-energy malnutrition can provide essential information that supplementary to BMI and changes in body weight, which may not accurately reflect the nutritional status due to normal limits [35]. Protein malnutrition can lead to edema, impaired organ function and immunosuppression. Moreover, preoperative hypoalbuminemia is associated with higher mortality in patients with underwent surgery for RCC [14, 36, 37]. Recently, CRP/Alb ratio has been used to predict the prognosis of several cancers [16-18]. In this study, we used the ROC analysis to yield a 0.08 cutoff value for CRP/Alb ratio for predicting OS in RCC. Compared with the other systemic inflammatory markers NLR and PLR, CRP/Alb ratio has the highest AUC value (P < 0.001). Univariate analyses showed that higher CRP/Alb ratio is associated with poorer prognosis (P < 0.001). Patients with CRP/Alb ratio ≥ 0.08 had a 5.5-higher mortality risk than patients with CRP/Alb ratio < 0.08. Multivariate analyses also showed that CRP/Alb ratio is independently predictable factor for OS of patients with RCC (P = 0.018). Furthermore, RCC patients at stage T1/T2, stage T3/T4, N0, N1 and M0, but M1, in the low CRP/Alb group had significantly longer OS than their counterparts in the high CRP/Alb group (P < 0.001, P < 0.001, P < 0.001, P = 0.006 and P < 0.001, respectively). Therefore, low CRP/Alb ratio is associated with the early stage RCC disease and high CRP/Alb ratio present the advanced or metastatic RCC suggesting that CRP/Alb ratio could be a new prognostic indicator related to the progression of RCC. More importantly, CRP/Alb ratio is also a predictor for recurrence or metastasis of localized (T1-3 N0/+ M0) RCC patients underwent full resection. In general, T1/T2 is staged as localized disease in RCC. However, patients at T1-3N1M0 stages underwent full resection may be also considered to receive a curative therapy. So far, although target reagent clinical trials for localized (T1-3N1M0) RCC patients using adjuvant therapy including axitinib are ongoing, there is no standard therapy for those patients after surgery. Therefore, looking for predict markers for full resection in localized (T1-3/N1 M0) RCC patients can avoid excessive treatment and help clinicians to identify high-risk patients for closer follow-up. Multivariate analysis of these 541 patients after adjustment for other variables including cancer stage, CRP/Alb ratio was an independent prognostic factor for DFS of patients in full resection of localized RCC (P = 0.008). Patients underwent full resection of localized RCC in the low CRP/Alb group showed significantly longer DFS than patients underwent full resection of localized RCC in the high CRP/Alb group (P < 0.001). Further analyses also suggested that patients underwent full resection at T1, T2, T3, N0 and N1 stages in the low CRP/Alb group had longer DFS than their counterparts in the high CRP/Alb group. To our best knowledge, this is the first report showing that CRP/Alb ratio can predict the DFS of localized RCC underwent full resection. These results are crucial for clinicians to make a decision for full resection of localized RCC and important to increase the accuracy of the established prognostic factors. The study also demonstrates that CRP/Alb ratio may serve as a screening method to choose the appropriate follow-up strategy for patients with localized RCC underwent full resection. Our findings have some clinical implications. Firstly, compared with the preoperative NLR and PLR, the preoperative CRP/Alb ratio is more effective and suitable prognostic indicator in patients with RCC. Secondly, according to the preoperative CRP/Alb ratio, patients with high risk can be selected for further management and treatment. Thirdly, our result can be used to stratify patients who are more likely to respond to biomarker-based enrichment strategy in future clinical trials. Our study also has several limitations. First, it is a retrospective and single-center study, which may limit the prognostic value of the CRP/Alb ratio. Therefore, a large-scale prospective validation study is needed. Second, several other factors that are influential to inflammation such as life styles and smoking status were not included in the study. Third, DFS was recorded based on radio-examination which may be longer than the actual DFS as some patients admitted to hospital only when they had obvious symptoms. In summary, this study demonstrated that CRP/Alb ratio is an independent predictor of OS for patients with RCC and can be used to predict the relapse or metastasis of localized RCC patients underwent full resection.

Conclusion

Overall, we demonstrate that preoperative CRP/Alb ratio is an independent prognostic marker for OS of RCC patients after radical or partial nephrectomy. In addition, preoperative CRP/Alb ratio could be used to predict DSF of localized RCC patients who underwent curative treatment and help clinicians to identify the high-risk patients for closer follow-up.
  37 in total

1.  Overall prognostic impact of C-reactive protein level in patients with metastatic renal cell carcinoma treated with sorafenib.

Authors:  Tetsuo Fujita; Morihiro Nishi; Ken-Ichi Tabata; Kazumasa Matsumoto; Kazunari Yoshida; Masatsugu Iwamura
Journal:  Anticancer Drugs       Date:  2016-11       Impact factor: 2.248

2.  Incidental detection of renal cell carcinoma is an independent prognostic marker: results of a long-term, whole population study.

Authors:  Helga Bjork Palsdottir; Sverrir Hardarson; Vigdis Petursdottir; Armann Jonsson; Eirikur Jonsson; Martin Ingi Sigurdsson; Gudmundur Vikar Einarsson; Tomas Gudbjartsson
Journal:  J Urol       Date:  2011-11-16       Impact factor: 7.450

3.  High preoperative C-reactive protein values predict poor survival in patients on chronic hemodialysis undergoing nephrectomy for renal cancer.

Authors:  Kenji Omae; Tsunenori Kondo; Kazunari Tanabe
Journal:  Urol Oncol       Date:  2014-08-12       Impact factor: 3.498

4.  Preoperative nutritional status is an important predictor of survival in patients undergoing surgery for renal cell carcinoma.

Authors:  Todd M Morgan; Dominic Tang; Kelly L Stratton; Daniel A Barocas; Christopher B Anderson; Justin R Gregg; Sam S Chang; Michael S Cookson; S Duke Herrell; Joseph A Smith; Peter E Clark
Journal:  Eur Urol       Date:  2011-01-28       Impact factor: 20.096

Review 5.  EAU guidelines on renal cell carcinoma: 2014 update.

Authors:  Borje Ljungberg; Karim Bensalah; Steven Canfield; Saeed Dabestani; Fabian Hofmann; Milan Hora; Markus A Kuczyk; Thomas Lam; Lorenzo Marconi; Axel S Merseburger; Peter Mulders; Thomas Powles; Michael Staehler; Alessandro Volpe; Axel Bex
Journal:  Eur Urol       Date:  2015-01-21       Impact factor: 20.096

6.  Prognostic impact of pretreatment C-reactive protein for patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors.

Authors:  Yosuke Yasuda; Kazutaka Saito; Takeshi Yuasa; Shinichi Kitsukawa; Shinji Urakami; Shinya Yamamoto; Junji Yonese; Shunji Takahashi; Iwao Fukui
Journal:  Int J Clin Oncol       Date:  2012-08-11       Impact factor: 3.402

7.  C-reactive protein (CRP) as tumor marker in pediatric and adolescent patients with Hodgkin disease.

Authors:  Annemarie Wieland; Reinhold Kerbl; Andrea Berghold; Wolfgang Schwinger; Georg Mann; Christian Urban
Journal:  Med Pediatr Oncol       Date:  2003-07

8.  Paraneoplastic signs and symptoms of renal cell carcinoma: implications for prognosis.

Authors:  Hyung L Kim; Arie S Belldegrun; Danielo G Freitas; Matthew H T Bui; Ken-ryu Han; Frederick J Dorey; Robert A Figlin
Journal:  J Urol       Date:  2003-11       Impact factor: 7.450

9.  Validation of CRP as prognostic marker for renal cell carcinoma in a large series of patients.

Authors:  Sandra Steffens; Astrid Köhler; Raphael Rudolph; Hendrik Eggers; Christoph Seidel; Martin Janssen; Gerd Wegener; Mark Schrader; Markus A Kuczyk; Andres J Schrader
Journal:  BMC Cancer       Date:  2012-09-08       Impact factor: 4.430

10.  External validation of the modified Glasgow prognostic score for renal cancer.

Authors:  Caroline G Tai; Timothy V Johnson; Ammara Abbasi; Lindsey Herrell; Wayne B Harris; Omer Kucuk; Daniel J Canter; Kenneth Ogan; John G Pattaras; Peter T Nieh; Viraj A Master
Journal:  Indian J Urol       Date:  2014-01
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  19 in total

1.  Prognostic impact of C-reactive protein-albumin ratio for the lethality in castration-resistant prostate cancer.

Authors:  Taizo Uchimoto; Kazumasa Komura; Yuya Fujiwara; Kenkichi Saito; Naoki Tanda; Tomohisa Matsunaga; Atsushi Ichihashi; Takeshi Tsutsumi; Takuya Tsujino; Yuki Yoshikawa; Yudai Nishimoto; Tomoaki Takai; Koichiro Minami; Kohei Taniguchi; Tomohito Tanaka; Hirofumi Uehara; Hajime Hirano; Hayahito Nomi; Naokazu Ibuki; Kiyoshi Takahara; Teruo Inamoto; Haruhito Azuma
Journal:  Med Oncol       Date:  2019-11-21       Impact factor: 3.064

2.  Prognostic Impact of Inflammation-related Biomarkers on Overall Survival of Patients with Inoperable Malignant Pleural Mesothelioma.

Authors:  Takehiro Otoshi; Yuki Kataoka; Sawako Kaku; Reika Iki; Masataka Hirabayashi
Journal:  In Vivo       Date:  2018 Mar-Apr       Impact factor: 2.155

3.  Prognostic Role of Pretreatment C-Reactive Protein to Albumin Ratio in Urological Cancers: A Systematic Review and Meta-Analysis.

Authors:  Minhong Wu; Yan Zhou; Qingsheng Chen; Zhiling Yu; Hongyong Gu; Pengxiu Lin; Yanling Li; Cailing Liu
Journal:  Front Oncol       Date:  2022-04-11       Impact factor: 5.738

4.  Postoperative C-reactive protein/albumin ratio as a novel predictor for short-term complications following gastrectomy of gastric cancer.

Authors:  Feng Sun; Xiaolong Ge; Zhijian Liu; Shangce Du; Shichao Ai; Wenxian Guan
Journal:  World J Surg Oncol       Date:  2017-10-24       Impact factor: 2.754

5.  The role of CRP and ATG9B expression in clear cell renal cell carcinoma.

Authors:  Zheng Ma; Zengguang Qi; Zhengfei Shan; Jiangsong Li; Jing Yang; Zhonghua Xu
Journal:  Biosci Rep       Date:  2017-11-15       Impact factor: 3.840

6.  Clinicopathologic and prognostic significance of C-reactive protein/albumin ratio in patients with solid tumors: an updated systemic review and meta-analysis.

Authors:  Jiayuan Wu; Wenkai Tan; Lin Chen; Zhe Huang; Shao Mai
Journal:  Oncotarget       Date:  2018-01-11

Review 7.  The prognostic value of C-reactive protein/albumin ratio in human malignancies: an updated meta-analysis.

Authors:  Hong-Jun Xu; Yan Ma; Fang Deng; Wen-Bo Ju; Xin-Yi Sun; Hua Wang
Journal:  Onco Targets Ther       Date:  2017-06-19       Impact factor: 4.147

8.  A Retrospective Propensity Score Matched Study of the Preoperative C-Reactive Protein to Albumin Ratio and Prognosis in Patients with Resectable Non-Metastatic Breast Cancer.

Authors:  Lin Zhou; Shihui Ma; Alpha Ibrahima Balde; Shuai Han; Zhai Cai; Zhou Li
Journal:  Med Sci Monit       Date:  2019-06-11

9.  The CRP/Albumin Ratio Predicts Survival And Monitors Chemotherapeutic Effectiveness In Patients With Advanced Pancreatic Cancer.

Authors:  Zhiyao Fan; Kun Fan; Yitao Gong; Qiuyi Huang; Chao Yang; He Cheng; Kaizhou Jin; Quanxing Ni; Xianjun Yu; Guopei Luo; Chen Liu
Journal:  Cancer Manag Res       Date:  2019-09-30       Impact factor: 3.989

10.  Preoperative neutrophil-to-lymphocyte ratio predicts the surgical outcome of Xp11.2 translocation/TFE3 renal cell carcinoma patients.

Authors:  Sezim Agizamhan; Feng Qu; Ning Liu; Jing Sun; Wei Xu; Lihua Zhang; Hongqian Guo; Weidong Gan
Journal:  BMC Urol       Date:  2018-06-11       Impact factor: 2.264

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