Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2019 Feb 21;9:89. doi: 10.3389/fonc.2019.00089

Effect of CRP and Kinetics of CRP in Prognosis of Nasopharyngeal Carcinoma

Ruiwan Chen 1,, Yu Zhou 2,, Yujie Yuan 3,, Qun Zhang 1, Shasha He 1, Yong Chen 1,*, Yufeng Ren 1,*
PMCID: PMC6394211  PMID: 30847301

Abstract

Baseline C-reactive protein (CRP) has been determined as a prognostic factor in nasopharyngeal carcinoma (NPC). This study was designed to further evaluate the impact of CRP kinetics on NPC patients. Thousand three hundred and seventy eight NPC patients from February 2001 to June 2011 were retrospectively reviewed. CRP were measured at beginning, middle, and the end of the treatment. The endpoints were overall survival (OS) and distant metastasis free survival (DMFS). Patients were divided into three groups according to baseline CRP and CRP kinetics: (1) continuously normal group: patients whose baseline CRP normal and never elevated, (2) ever-elevated group: patients whose CRP ever elevated regardless time points, (3) continuously elevated group: patients whose baseline CRP elevated and never normalized. Baseline CRP, CRP after treatment, and CRP kinetics were correlated with TNM stage, T stage, and N stage. Univariate and multivariate analysis identified that elevated baseline CRP and CRP after treatment had significant association with worse survival than normal CRP. Oppositely, elevated CRP during treatment was not associated with survival. Patients with continuously elevated CRP significantly had poor OS and DMFS (HR:2.610, 95%CI: 1.592–4.279, p < 0.001; HR:2.816, 95%CI: 1.486–5.302, p = 0.001, respectively). In multivariate analysis, CRP kinetics assessment is an independent prognostic factor for OS and DFMS in NPC patients (HR:2.512, 95%CI: 1.452–4.346, p = 0.001; HR:3.389, 95%CI: 1.734–6.625, p = 0.001, respectively). In conclusion, elevated CRP at baseline and after treatment are predictive factors of poor prognosis for NPC. The study of CRP kinetics shows that continuously elevated CRP during treatment might indicate an unfavorable prognosis for NPC.

Keywords: C-reactive protein, nasopharyngeal carcinoma, radiotherapy, kinetics, prognosis

Introduction

Nasopharyngeal carcinoma (NPC) is prevalent in Southern China and Southeast Asia, with a peak incidence of 50 cases per 1,00,000 individuals (1, 2). Radiotherapy with or without chemotherapy is the primary treatment for NPC patients (3). With the rapid development of radiotherapy technology and chemotherapy regimens, the overall 5-year survival rate of NPC is over 75% (4, 5). However, a mysterious heterogeneity remains in clinical outcomes of NPC with the same TNM staging system (6). Recently, numerous evidence has shown that specific biomarkers such as serum lactate dehydrogenase levels (7) and plasma Epstein-Barr virus (EBV) DNA (8) can successfully distinguish prognosis of NPC patients. However, plasma EBV DNA testing has not been routinely applied in clinical practice. It is urgent to explore additional biomarkers that are simple to use and complementary to TNM staging system (9).

Many non-specific inflammatory markers have been detected and proven to play important roles in predicting tumor progression and prognosis (1012). C-reactive protein (CRP) is one of the most representative markers in the acute phase of systemic inflammatory response (13, 14). It has been reported with increased levels of CRP was relevant to poor prognosis in colorectal cancer (15), hepatocellular carcinoma (16), and esophageal carcinoma (17). Similarly in NPC patients, baseline levels of CRP and CRP/albumin ratio have been both proposed as a potentially useful biomarker (1821). Besides, dynamic change in CRP levels, known as CRP kinetics, has been reported as a prognostic marker of long-term survival for metastatic NPC patients treated with palliative chemotherapy (22). To our knowledge, the prognostic value of CRP kinetics in non-metastatic NPC remains obscured.

We herein conducted a large-scale retrospective study in a single center and aimed to investigate the role of CRP and CRP kinetics in predicting prognosis of non-metastatic NPC patients treated with radical radiotherapy.

Materials and Methods

Patients

From February 2001 to June 2011, 1,378 consecutive patients who had confirmed diagnosis of non-metastatic NPC and received radical radiotherapy in Sun Yat-Sen University Cancer Center were enrolled for initial screening. The selection criteria included: (1) good performance status (KPS ≥ 80); (2) normal renal, cardiac and liver function; (3) at least one CRP record during treatment; and (4) complete follow-up data. This study was approved by the Institutional Review Board of our hospital, with written informed consent exempted from all subjects due to the retrospective study design.

Treatments

Before any treatment, patients would receive a routine staging work-up, which included a review of patient history, physical examination, magnetic resonance imaging (MRI) scan of nasopharynx and neck, chest radiography, abdominal sonography, and a whole-body bone scan or whole-body fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT). Afterwards, they were staged based on the 8th edition of the International Union against Cancer/American Joint Committee on Cancer (UICC/AJCC) system. Radiotherapy with or without concurrent chemotherapy was followed, with detailed techniques summarized as our previously report.

Serum levels of CRP were measured from peripheral venous blood samples. Baseline CRP was defined as CRP level before any anti-tumor treatment, with CRP during treatment and after treatment defined as values during any cycle of chemotherapy or radiotherapy and in the end of radical radiotherapy, respectively. The cut-off value of CRP was set at 10 mg/L according to previous studies (15, 16, 23). Accordingly, all subjects were intentionally divided into three groups according to baseline CRP and CRP kinetics: (1) non-elevated group: patients whose baseline CRP < 10 mg/L and not elevated after the treatment, (2) ever-elevated group: patients whose baseline CRP or CRP after treatment ever elevated, (3)non-normalized group: patients whose baseline CRP and CRP after treatment were both >10 mg/L.

After treatment, patients were scheduled for regular follow-up visits, who were routinely asked every 3 months during the first 2 years, every 6 months till the 5th year, and then yearly thereafter. Evaluations during each out-patient visit included physical examination, hematology, and biochemistry profiles, MRI scan, chest radiography, abdominal sonography, and a whole-body bone scan.

Study Outcomes

The primary endpoints were the overall survival (OS) and distant metastasis-free survival (DMFS) after the radical treatment. OS and DMFS were calculated from the first day of treatment to death and the first distant metastasis, respectively.

Statistical Analyses

All data was stored and analyzed using the statistical package SPSS for Windows (Vers. 22.0, SPSS Inc., Chicago, IL). Pearson's Chi-squared test was used to analyze correlations between different CRP levels and the patients' clinicopathological features. The actuarial survival rates were estimated by the Kaplan-Meier method and survival curves were compared with the log-rank test. Univariate and multivariate analyses were performed using the Cox proportional hazards model. Two-tailed p-value < 0.05 were considered statistically significant.

Results

Clinical Outcomes

Within the study period, a total of 1,378 non-metastatic NPC patients were included for the final analysis. The median age was 45 years (12–90 years), with 1016 (73.7%) males, and 362 (26.3%) females. The demographic and baseline characteristics of included patients are summarized in Table 1. Briefly, all patients were treated with radiotherapy, including 773 patients with 2-dimensional radiotherapy, 37 patients with 3-dimensional conformal radiation therapy (3D-CRT), and 568 patients with Intensity Modulated Radiation Therapy (IMRT). Additionally, 81.3% (974/1,198) patients received platinum-based chemotherapy, including neoadjuvant, concurrent, or adjuvant chemotherapy for advanced-stage disease. Until the last date of follow-up, the median follow-up period was 52 months (range, 2–106 months), with 150/1,378 (10.8%) and 102/1,378 (7.4%) patients suffering distant metastasis and cancer-related death, respectively. The 5-year OS and DMFS rates were 89.1 and 92.7%, respectively.

Table 1.

Patient characteristic.

Characteristics N Baseline CRP, mg/l CRP during treatment, mg/l CRP after treatment, mg/l CRP change
elevated normal p elevated normal p elevated normal p Non-elevated Ever-elevated Non-normalized p
AGE
≤ 45y 699 57 (8.2%) 608 (87.0%) 0.676 71 (10.2%) 272 (38.9%) 0.632 23 (3.3%) 222 (31.8%) 0.178 185 (26.5%) 33 (4.7%) 5 (0.7%) 0.542
>45y 679 52 (7.6%) 603 (88.9%) 85 (12.5%) 248 (36.5%) 27 (4.0%) 174 (25.6%) 145 (21.3%) 34 (5.0%) 3 (0.4%)
SEX
Male 1016 81 (8.0%) 888 (87.4%) 0.824 128 (12.6%) 375 (36.9%) 0.013 39 (3.8%) 299 (29.4%) 0.698 247 (24.3%) 50 (4.9%) 7 (0.7%) 0.713
Female 362 28 (7.7%) 323 (89.2%) 28 (7.7%) 145 (40.1%) 11 (3.0%) 97 (26.8%) 83 (22.9%) 17 (4.7%) 1 (0.3%)
PATHOLOGY
WHO I+II 90 3 (3.3%) 82 (91.1%) 0.102 7 (7.8%) 35 (38.9%) 0.309 0 (0%) 31 (34.4%) 0.040 26 (28.9%) 0 (0%) 0 (0%) 0.044
WHO III 1288 106 (8.2%) 1129 (87.7%) 149 (11.6%) 485 (37.7%) 50 (3.9%) 365 (28.3%) 304 (23.6%) 66 (5.1%) 8 (0.6%)
BMI
< 24 773 67 (8.7%) 674 (87.2%) 0.157 84 (10.9%) 305 (39.5%) 0.235 28 (3.6%) 207 (26.8%) 0.626 174 (22.5%) 38 (4.9%) 5 (0.6%) 0.607
≥24 525 34 (6.5%) 466 (88.8%) 70 (13.3%) 204 (38.9%) 20 (3.8%) 172 (32.7%) 143 (27.2%) 24 (4.6%) 3 (0.6%)
FAMILY HISTORY
Yes 380 29 (7.6%) 336 (88.4%) 0.812 43 (11.3%) 151 (39.7%) 0.610 0 (0%) 111 (29.2%) 0.002 93 (24.5%) 25 (6.6%) 2 (0.5%) 0.236
No 928 74 (8.0%) 812 (87.5%) 105 (11.3%) 332 (35.8%) 23 (2.5%) 251 (27.0%) 207 (22.3%) 34 (3.7%) 4 (0.4%)
SMOKING
Yes 521 50 (9.6%) 449 (86.2%) 0.062 62 (11.9%) 184 (35.3%) 0.353 22 (4.2%) 136 (26.1%) 0.187 112 (21.5%) 28 (5.4%) 5 (1.0%) 0.142
No 851 58 (6.8%) 758 (89.1%) 94 (11.0%) 332 (39.0%) 28 (3.3%) 258 (30.3%) 216 (25.4%) 39 (4.6%) 3 (0.4%)
DM
Yes 30 5 (16.7%) 24 (80%) 0.077 4 (13.3%) 12 (40%) 0.859 2 (6.7%) 8 (26.7%) 0.377 6 (20%) 3 (10%) 0 (0%) 0.373
No 1343 104 (7.7%) 1182 (88.0%) 152 (11.3%) 506 (37.7%) 48 (3.6%) 386 (28.7%) 322 (24.0%) 64 (4.8%) 8 (0.6%)
HYPERTENSION
Yes 75 7 (9.3%) 68 (90.7%) 0.732 10 (13.3%) 28 (37.3%) 0.630 0 (0%) 28 (37.3%) 0.051 25 (33.3%) 3 (4%) 0 (0%) 0.482
No 1300 102 (7.8%) 1140 (87.7%) 146 (11.2%) 491 (37.8%) 50 (3.8%) 366 (28.2%) 303 (23.3%) 64 (4.9%) 8 (0.6%)
CHRONIC HBV INFECTION
Yes 236 17 (7.2%) 213 (90.3%) 0.618 36 (15.3%) 91 (38.6%) 0.123 6 (2.5%) 55 (23.6%) 0.674 47 (20.0%) 9 (3.8%) 1 (0.4%) 0.961
No 1070 86 (8.0%) 939 (87.9%) 115 (10.7%) 410 (38.3%) 43 (4.0%) 325 (30.4%) 272 (25.4%) 57 (5.3%) 7 (0.7%)
TNM STAGE
I+II 306 10 (3.3%) 286 (93.5%) 0.001 22 (7.2%) 97 (31.7%) 0.191 5 (1.6%) 79 (25.8%) 0.090 69 (22.5%) 7 (2.2%) 0 (0%) 0.053
III+IV 1080 99 (9.2%) 925 (85.6%) 134 (12.4%) 423 (39.2%) 45 (4.2%) 317 (29.3%) 261 (24.2%) 60 (5.6%) 8 (0.7%)
T STAGE
1+2 529 25 (4.7%) 479 (90.5%) 0.001 52 (9.8%) 193 (36.5%) 0.389 14 (2.6%) 161 (30.4%) 0.084 138 (26.1%) 15 (2.8%) 4 (0.8%) 0.010
3+4 849 84 (9.9%) 732 (86.2%) 104 (12.2%) 327 (38.5%) 36 (4.2%) 235 (27.7%) 192 (22.6%) 52 (6.1%) 4 (0.5%)
N STAGE
0+1 752 48 (6.4%) 677 (90.0%) 0.017 68 (9.0%) 268 (35.6%) 0.082 17 (2.3%) 194 (25.8%) 0.045 162 (21.5%) 27 (3.6%) 0 (0%) 0.016
2+3 626 61 (9.7%) 534 (85.3%) 88 (14.1%) 252 (40.3%) 33 (5.3%) 202 (32.3%) 168 (26.8%) 37 (5.9%) 8 (1.3%)
RADIOTHERAPY
2D+3D-CRT 810 62 (7.7%) 717 (88.5%) 0.629 91 (11.2%) 279 (34.4%) 0.303 22 (2.7%) 190 (23.5%) 157 (19.4%) 30 (3.7%) 2 (0.2%) 0.424
IMRT 568 47 (8.3%) 493 (86.8%) 65 (11.4%) 241 (42.4%) 28 (4.9%) 206 (36.3%) 173 (30.5%) 37 (6.5%) 6 (1.0%)
CHEMOTHERAPY
Yes 974 89 (9.1%) 839 (86.1%) 0.019 132 (13.6%) 421 (43.2%) 0.054 41 (4.2%) 319 (32.8%) 0.532 265 (27.2%) 55 (5.6%) 8 (0.8%) 0.289
No 224 10 (4.5%) 207 (92.4%) 9 (4.0%) 58 (25.9%) 5 (2.2%) 53 (23.7%) 47 (21.0%) 6 (2.7%) 0 (0%)

p < 0.05 was considered statistically significant.

CRP and CRP Kinetics

In the entire cohort, 109 (8.3%) patients had elevated CRP levels at baseline measurement, 1,211 (87.9%) patients had normal CRP levels, and 58 (4.2%) patients had missing values. After treatment, 330 of 1,211 patients with previous normal baseline CRP still had non-elevated CRP, but 8 of 109 patients with previous elevated CRP still had elevated CRP. On the basis of our grouping method, 330, 67 and 8 patients were assigned into non-elevated group, ever-elevated group, and non-normalized group, respectively (Figure 1).

Figure 1.

Figure 1

Flow chart of the different patients group according to CRP kinetics.

Association of CRP Kinetics With Tumor Stage

The chi-squared test results showed that our data was relatively balanced.

Patients with T3-4, N2-3, and Stage III-IVa disease had significantly higher baseline levels of CRP than those with T1-2, N0-1, and Stage I-II disease (p = 0.001, 0.017, and 0.001, respectively). Similarly, there is a trend that patients with worse T, N, and total stage had relatively higher CRP after treatment (p = 0.090, 0.084, and 0.045, respectively) and CRP kinetics (p = 0.053, 0.01, and 0.016, respectively) in comparison with early stage patients. However, elevated CRP during treatment was not associated with advanced tumor stage (p = 0.191, 0.389, and 0.082, respectively).

CRP Levels Impacting On Survival

The 1-year, 3-year, and 5-year OS rates in the normal baseline CRP group were 99, 91, and 88%, respectively (Figure 2A). Meanwhile, the 1-year, 3-year, and 5-year OS rates in the elevated baseline CRP group were 94, 80, and 71%, respectively, with a significant difference observed between the two groups (Table 2; HR: 2.541; 95%CI: 1.673–3.943; p < 0.001). Similarly, the 1-year, 3-year, and 5-year DMFS rates in the elevated baseline CRP group were markedly poorer than those in normal group (91 vs. 96%, 83 vs. 94%, and 79 vs. 93%; Figure 2B) respectively, suggesting a significant difference (HR: 3.001; 95%CI: 1.817–4.955; p < 0.001). Other risk factors, including advanced tumor stage, elevated CRP after treatment and CRP kinetics, were correlated with poor OS and DMFS rates (Table 2). By further, multivariate analysis (Table 3) was also performed, incorporating patient factors (age, gender, family history, smoking, hypertension, diabetes, chronic hepatitis B, and BMI), tumor factors (pathological type and TNM stage), treatment methods (radiotherapy and chemotherapy) and baseline CRP level as covariates. The baseline CRP level was confirmed as an independent prognostic factor for OS and DMFS (HR: 2.502, 95%CI: 1.510–4.148, p < 0.001; HR: 3.056, 95%CI: 1.751–5.333, p < 0.001), respectively.

Figure 2.

Figure 2

(A) Kaplan-Meier analysis of OS according to baseline CRP levels. (B) Kaplan-Meier analysis of DMFS according to baseline CRP levels.

Table 2.

Univariate analyses of prognosis factors for OS and DMFS.

Variables OS DMFS
HR 95% CI p HR 95% CI p
Age 2.187 1.557–3.071 0.000 1.322 0.897–1.950 0.159
Sex 1.875 1.22–2.881 0.04 1.746 1.050–2.903 0.032
Histology 0.969 0.541–1.737 0.917 1.044 0.501–2.175 0.909
BMI 0.624 0.437–0.890 0.009 0.704 0.464–1.070 0.100
Family history 0.903 0.624–1.305 0.586 0.792 0.504–1.244 0.311
Smoking 1.650 1.198–2.273 0.002 1.168 0.788–1.730 0.439
DM 1.176 0.435–3.177 0.749 0.434 0.061–3.113 0.407
Hypertension 1.502 0.833–2.709 0.177 0.866 0.352–2.126 0.753
Chronic HBV infection 0.599 0.361–0.993 0.047 0.683 0.381–1.225 0.201
Total stage 2.037 1.604–2.588 0.000 1.782 1.347–2.358 0.000
T stage 1.592 1.322–1.918 0.000 1.199 0.972–1.480 0.091
N stage 1.637 1.349–1.988 0.000 1.910 1.507–2.421 0.000
Radiotherapy 0.876 0.740–1.038 0.125 0.901 0.736–1.103 0.313
Chemotherapy 1.568 0.955–2.574 0.075 1.432 0.797–2.574 0.230
Baseline CRP 2.541 1.673–3.943 0.000 3.001 1.817–4.955 0.000
CRP during treatment 1.202 0.730–1.978 0.470 1.421 0.778–2.596 0.253
CRP after treatment 3.041 1.552–5.961 0.001 3.689 1.631–8.343 0.002
CRP change 2.610 1.592–4.279 0.000 2.816 1.496–5.302 0.001

Table 3.

Multivariate analyses of prognosis factors for OS and DMFS.

Endpoints Baseline CRP CRP after treatment CRP kinetics
Variables HR (95% CI) p Variables HR (95% CI) p Variables HR (95% CI) p
OS Sex 0.447(0.254–0.785) 0.005 Sex 0.310(0.113–0.847) 0.022 Sex 0.184(0.053–0.642) 0.008
Age 2.080(1.385–3.125) 0.000 Age 2.152(1.128–4.104) 0.020
BMI 0.656(0.433–0.994) 0.047 BMI 0.443(0.234–0.840) 0.013
TNM 1.663(1.234–2.239) 0.001 TNM 1.978(1.219–3.210) 0.006 TNM 1.655(1.101–2.805) 0.043
Baseline CRP 2.502(1.510–4.148) 0.000 CRP after treatment 2.892(1.334–6.271) 0.007 CRP kinetics 2.512(1.452–4.346) 0.001
DMFS Sex 0.423(0.227–0.785) 0.006 Sex 0.120(0.027–0.543) 0.006 Sex 0.066(0.008–0.517) 0.010
TNM 1.696(1.193–2.411) 0.003
Baseline CRP 3.056(1.751–5.333) 0.000 CRP after treatment 4.876(2.008–11.836) 0.000 CRP kinetics 3.389(1.734–6.625) 0.000

Besides, the OS (Figure 3A) and DMFS (Figure 3B) curves were compared between patients with elevated and non-elevated CRP level during treatment, with no significant differences found. Further, univariate analysis also suggested that CRP level during treatment was insignificant with OS (HR: 1.202; 95%CI: 0.730–1.978; p = 0.470) or DMFS (HR:1.421, 95%CI: 0.778–2.596; p = 0.253). All together confirmed that CRP level during treatment was not a prognostic factor for the current cohort (Table 2).

Figure 3.

Figure 3

(A) Kaplan-Meier analysis of OS according to CRP levels during treatment. (B) Kaplan-Meier analysis of DMFS according to CRP levels during treatment.

Lastly, the 1-year, 3-year, and 5-year OS rates in elevated and normal CRP levels after treatment were 83 and 98%, 76 and 92%, and 76 and 87%, respectively (Figure 4). It suggested that the elevated CRP after treatment was associated with a poor survival (HR:3.041, 95%CI: 1.552–5.961, p = 0.001). Similarly, elevated CRP after treatment also indicated significantly decreased DMFS compared with normal CRP after treatment (HR: 3.689, 95%CI: 1.631–8.343, p = 0.002). Multivariate analysis revealed CRP level after treatment was an independent prognostic factor of OS (HR: 2.892, 95%CI: 1.334–6.271, p = 0.007) and DMFS (HR: 4.876, 95%CI: 2.008–11.836, p < 0.001).

Figure 4.

Figure 4

(A) Kaplan-Meier analysis of OS according to CRP levels after treatment. (B) Kaplan-Meier analysis of DMFS according to CRP levels after treatment.

CRP Kinetics and Survival

The 1-year, 3-year, and 5-year OS rates for patients with non-elevated CRP was 98, 93, and 89%, which were significantly improved compared with those with ever-elevated (91, 84, and 79%) and non-normalized CRP (72, 58, and 58%; Figure 5). As for the DMFS rates, the non-elevated CRP group had 1, 3, 5-year rates of 98, 96, and 94%, respectively. The ever-elevated group and non-normalized group had 1, 3, 5-year rates of 91 and 87%, 89 and 69%, and 97 and 69%, respectively. There were significantly differences in OS (HR:2.610, 95%CI: 1.592–4.279, p < 0.001) and DMFS (HR:2.816, 95%CI: 1.486–5.302, p = 0.001) among three groups. Multivariate analysis demonstrated that CRP kinetics was an independent prognostic factor of OS (HR:2.512, 95%CI: 1.452–4.346, p = 0.001) and DMFS (HR:3.389, 95%CI: 1.734–6.625, p = 0.001).

Figure 5.

Figure 5

(A) Kaplan-Meier analysis of OS according to CRP kinetics. (B) Kaplan-Meier analysis of DMFS according to CRP kinetics.

Discussion

In the present study, we found that pre-treatment and post-treatment levels of CRP, rather than CRP during treatment, were helpful to predict prognosis of non-metastatic NPC patients. Furthermore, we assessed the effect of CRP kinetics during treatment and found that CRP kinetics was an independent prognostic factor for prognosis of NPC patients. To the best of our knowledge, this study was the first report to confirm the prognostic significance of pre-treatment CRP, post-treatment CRP, and CRP kinetics during treatment for non-metastatic NPC patients.

Inflammation is known as the seventh hallmark of tumor formation and development, which is recognized to promote the initiation, progression and metastasis of cancer (2427). CRP, as an acute-phase protein, is a non-specific protein reacting to acute inflammation, infection, and tissue damage (13). It has been regarded as a valuable inflammatory marker in cardiovascular disease (28), diabetes (29), and chronic hepatitis B (30, 31). Recently, further researches have demonstrated a correlation of high CRP level with a poor prognosis in colorectal cancer (15), osteosarcoma (32), hepatocellular carcinoma (16), and other cancers, as well as in NPC patients (19, 21). The current study has demonstrated pre-treatment CRP and post-treatment CRP are both independent and significant prognostic indicators of non-metastatic NPC patients, and the finding is consistent with previous studies.

We further analyzed the relationship of the CRP level in different treatment phases with prognosis, which was relatively lacking in previous studies. Interestingly, CRP level during treatment showed no relationship with OS and DMFS in NPC patients. As we know, acute radiotherapy-induced mucosal reaction, bacterial and fungal infections, chemotherapy-induced hepatic injury, renal impairment, and cardiac damage commonly happened during the whole process of radical radiotherapy and induction and concurrent chemotherapy. The elevation of CRP during treatment may be due to the inflammation, infection and tissue damage mentioned above, therefore the effect of predicting prognosis is covered over.

Recently, research of relationship between tumor biomarker kinetics and patient prognosis has been attracting more attention. As an EBV-related malignance, EBV DNA has been used in diagnosis, predicting prognosis, and monitoring in NPC patients (8, 33, 34). However, there is still no unified detection method in circulating EBV DNA quantification. CRP kinetics has also been revealed as a prognostic indicator in metastatic renal cell carcinoma treated with TKIs (35). Xia et al. reported that baseline CRP level and CRP kinetics may be useful to predict prognosis of metastatic NPC patients treated with palliative chemotherapy (22). To date, there is no related research revealing the relationship with CRP and prognosis in non-metastatic NPC patients treated with radical radiotherapy. Our current study has demonstrated that CRP kinetics is an independent prognostic indicator in non-metastatic NPC patients. The prognosis of patients with non-elevated CRP during radical treatment is better than patients with ever-elevated and non-normalized CRP. Since CRP is more regular carried out in basic hospitals in China, the CRP monitoring may be an effective and economical in basic hospitals in China during follow-up.

This study had several limitations. First, this was a retrospective, single-center analysis and patient-selection bias was inescapable. Second, EBV DNA test was not regularly performed in this cohort due to the limitation of times. Therefore, the interaction of EBV DNA expression and CRP level was not explored in the current study. At last, biological mechanisms that unravel the prognostic value of CRP level and kinetics in NPC were not revealed.

In conlusion, the pretreatment CRP level, CRP after treatment, and CRP kinetics may be a useful prognostic indicator in non-metastatic NPC patient treated with radical radiotherapy. Further research including large prospective studies is required to draw more definitive conclusions.

Ethics Statement

This study was carried out in accordance with the recommendations of Institutional Review Board of First Affiliated Hospital of Sun Yat-sen University with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the First Affiliated Hospital of Sun Yat-sen University.

Author Contributions

RC and YZ carried out the search strategy and drafted the manuscript. YY participated in the data extraction and statistical analysis. QZ and SH participated in literature search and data extraction. YC and YR conceived of the study, and participated in its design and coordination, and helped to draft the manuscript. All authors read and approved the final manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Glossary

Abbreviations

CRP

C-reactive protein

NPC

nasopharyngeal carcinoma

OS

overall survival

DMFS

distant metastasis free survival

EBV

Epstein-Barr virus

MRI

magnetic resonance imaging

FDG

PET/CT fluorodeoxyglucose positron emission tomography-computed tomography

UICC/AJCC

International Union against Cancer/American Joint Committee on Cancer

3D-CRT

3-dimensional conformal radiation therapy

IMRT

Intensity Modulated Radiation Therapy.

Footnotes

Funding. The study was funded by National Natural Science Foundation of China (No. 81602048 and No. 81602172). All authors had full access to all of the data in the study and had final responsibility for the decision to submit for publication.

References

  • 1.Wee JT, Ha TC, Loong SL, Qian CN. Is nasopharyngeal cancer really a “Cantonese cancer”? Chin J Cancer (2010) 29:517–26. 10.5732/cjc.009.10329 [DOI] [PubMed] [Google Scholar]
  • 2.Chang ET, Adami HO. The enigmatic epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev. (2006) 15:1765–77. 10.1158/1055-9965.EPI-06-0353 [DOI] [PubMed] [Google Scholar]
  • 3.Blanchard P, Lee A, Marguet S, Leclercq J, Ng WT, Ma J, et al. Chemotherapy and radiotherapy in nasopharyngeal carcinoma: an update of the MAC-NPC meta-analysis. Lancet Oncol. (2015) 16:645–55. 10.1016/S1470-2045(15)70126-9 [DOI] [PubMed] [Google Scholar]
  • 4.Lee AW, Ng WT, Chan YH, Sze H, Chan C, Lam TH. The battle against nasopharyngeal cancer. Radiother Oncol. (2012) 104:272–8. 10.1016/j.radonc.2012.08.001 [DOI] [PubMed] [Google Scholar]
  • 5.Lee AW, Sze WM, Au JS, Leung SF, Leung TW, Chua DT, et al. Treatment results for nasopharyngeal carcinoma in the modern era: the Hong Kong experience. Int J Radiat Oncol Biol Phys. (2005) 61:1107–16. 10.1016/j.ijrobp.2004.07.702 [DOI] [PubMed] [Google Scholar]
  • 6.Ng WT, Lee MC, Hung WM, Choi CW, Lee KC, Chan OS, et al. Clinical outcomes and patterns of failure after intensity-modulated radiotherapy for nasopharyngeal carcinoma. Int J Radiat Oncol Biol Phys. (2011) 79:420–8. 10.1016/j.ijrobp.2009.11.024 [DOI] [PubMed] [Google Scholar]
  • 7.Wan XB, Wei L, Li H, Dong M, Lin Q, Ma XK, et al. High pretreatment serum lactate dehydrogenase level correlates with disease relapse and predicts an inferior outcome in locally advanced nasopharyngeal carcinoma. Eur J Cancer. (2013) 49:2356–64. 10.1016/j.ejca.2013.03.008 [DOI] [PubMed] [Google Scholar]
  • 8.Chen M, Yin L, Wu J, Gu JJ, Jiang XS, Wang DJ, et al. Impact of plasma epstein-barr virus-DNA and tumor volume on prognosis of locally advanced nasopharyngeal carcinoma. Biomed Res Int. (2015) 2015:617949. 10.1155/2015/617949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Amin MB. American Joint Committee on Cancer Staging Manual. New York, NY: Springer; (2017). 10.1007/978-3-319-40618-3 [DOI] [Google Scholar]
  • 10.An X, Ding PR, Wang FH, Jiang WQ, Li YH. Elevated neutrophil to lymphocyte ratio predicts poor prognosis in nasopharyngeal carcinoma. Tumour Biol. (2011) 32:317–24. 10.1007/s13277-010-0124-7 [DOI] [PubMed] [Google Scholar]
  • 11.Lu X, Qian CN, Mu YG, Li NW, Li S, Zhang HB, et al. Serum CCL2 and serum TNF-alpha–two new biomarkers predict bone invasion, post-treatment distant metastasis and poor overall survival in nasopharyngeal carcinoma. Eur J Cancer. (2011) 47:339–46. 10.1016/j.ejca.2010.09.025 [DOI] [PubMed] [Google Scholar]
  • 12.Sun W, Zhang L, Luo M, Hu G, Mei Q, Liu D, et al. Pretreatment hematologic markers as prognostic factors in patients with nasopharyngeal carcinoma: neutrophil-lymphocyte ratio and platelet-lymphocyte ratio. Head Neck. (2016) 38:11. 10.1002/hed.24224 [DOI] [PubMed] [Google Scholar]
  • 13.Salazar J, Martínez MS, Chávez M, Toledo A, Añez R, Torres Y, et al. C-reactive protein: clinical and epidemiological perspectives. Cardiol Res Pract. (2014) 2014:605810. 10.1155/2014/605810 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Allin KH, Nordestgaard BG. Elevated C-reactive protein in the diagnosis, prognosis, and cause of cancer. Crit Rev Clin Lab Sci. (2011) 48:155–70. 10.3109/10408363.2011.599831 [DOI] [PubMed] [Google Scholar]
  • 15.Shibutani M, Maeda K, Nagahara H, Noda E, Ohtani H, Nishiguchi Y, et al. Prognostic significance of the preoperative serum C-reactive protein level in patients with stage IV colorectal cancer. Surg Today (2015) 45:315–21. 10.1007/s00595-014-0909-1 [DOI] [PubMed] [Google Scholar]
  • 16.Sieghart W, Pinter M, Hucke F, Graziadei I, Schöniger-Hekele M, Müller C, et al. Single determination of C-reactive protein at the time of diagnosis predicts long-term outcome of patients with hepatocellular carcinoma. Hepatology (2013) 57:2224–34. 10.1002/hep.26057 [DOI] [PubMed] [Google Scholar]
  • 17.Guillem P, Triboulet JP. Elevated serum levels of C-reactive protein are indicative of a poor prognosis in patients with esophageal cancer. Dis Esophagus (2005) 18:146–50. 10.1111/j.1442-2050.2005.00474.x [DOI] [PubMed] [Google Scholar]
  • 18.Xia WX, Zhang HB, Shi JL, Lu X, Wang L, Ye YF, et al. A prognostic model predicts the risk of distant metastasis and death for patients with nasopharyngeal carcinoma based on pre-treatment serum C-reactive protein and N-classification. Eur J Cancer (2013) 49:2152–60. 10.1016/j.ejca.2013.03.003 [DOI] [PubMed] [Google Scholar]
  • 19.Tang LQ, Hu DP, Chen QY, Zhang L, Lai XP, He Y, et al. Elevated high-sensitivity C-reactive protein levels predict decreased survival for nasopharyngeal carcinoma patients in the intensity-modulated radiotherapy era. PLoS ONE (2015) 10:e0122965. 10.1371/journal.pone.0122965 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Tang LQ, Li CF, Chen QY, Zhang L, Lai XP, He Y, et al. High-sensitivity C-reactive protein complements plasma Epstein-Barr virus deoxyribonucleic acid prognostication in nasopharyngeal carcinoma: a large-scale retrospective and prospective cohort study. Int J Radiat Oncol Biol Phys. (2015) 91:325–36. 10.1016/j.ijrobp.2014.10.005 [DOI] [PubMed] [Google Scholar]
  • 21.Zhang Y, Zhou GQ, Liu X, Chen L, Li WF, Tang LL, et al. Exploration and validation of C-reactive protein/albumin ratio as a novel inflammation-based prognostic marker in nasopharyngeal carcinoma. J Cancer (2016) 7:1406–12. 10.7150/jca.15401 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Xia WX, Ye YF, Lu X, Wang L, Ke LR, Zhang HB, et al. The impact of baseline serum C-reactive protein and C-reactive protein kinetics on the prognosis of metastatic nasopharyngeal carcinoma patients treated with palliative chemotherapy. PLoS ONE (2013) 8:e76958. 10.1371/journal.pone.0076958 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Yasuda Y, Saito K, Yuasa T, Uehara S, Kawamura N, Yokoyama M, et al. Early response of C-reactive protein as a predictor of survival in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors. Int J Clin Oncol. (2017) 22:1081–6. 10.1007/s10147-017-1166-2 [DOI] [PubMed] [Google Scholar]
  • 24.Coussens LM, Werb Z. Inflammation and cancer. Nature (2002) 420:860–7. 10.1038/nature01322 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature (2008) 454:436–44. 10.1038/nature07205 [DOI] [PubMed] [Google Scholar]
  • 26.Solinas G, Marchesi F, Garlanda C, Mantovani A, Allavena P. Inflammation-mediated promotion of invasion and metastasis. Cancer Metastasis Rev. (2010) 29:243–8. 10.1007/s10555-010-9227-2 [DOI] [PubMed] [Google Scholar]
  • 27.Colotta F, Allavena P, Sica A, Garlanda C, Mantovani A. Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis (2009) 30:1073–81. 10.1093/carcin/bgp127 [DOI] [PubMed] [Google Scholar]
  • 28.Avan A, Tavakoly Sany SB, Ghayour-Mobarhan M, Rahimi HR, Tajfard M, Ferns G. Serum C-reactive protein in the prediction of cardiovascular diseases: overview of the latest clinical studies and public health practice. J Cell Physiol. (2018) 22:26791 10.1002/jcp.26791 [DOI] [PubMed] [Google Scholar]
  • 29.Liu C, Feng X, Li Q, Wang Y, Li Q, Hua M. Adiponectin, TNF-alpha and inflammatory cytokines and risk of type 2 diabetes: a systematic review and meta-analysis. Cytokine (2016) 86:100–9. 10.1016/j.cyto.2016.06.028 [DOI] [PubMed] [Google Scholar]
  • 30.Luan YY, Yao YM. The clinical significance and potential role of C-reactive protein in chronic inflammatory and neurodegenerative diseases. Front Immunol. (2018) 9:1302. 10.3389/fimmu.2018.01302 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ma LN, Liu XY, Luo X, Hu YC, Liu SW, Tang YY, et al. Serum high-sensitivity C-reactive protein are associated with HBV replication, liver damage and fibrosis in patients with chronic hepatitis B. Hepatogastroenterology (2015) 62:368–72. 10.5754/hge14772 [DOI] [PubMed] [Google Scholar]
  • 32.Yi JH, Wang D, Li ZY, Hu J, Niu XF, Liu XL. C-reactive protein as a prognostic factor for human osteosarcoma: a meta-analysis and literature review. PLoS ONE (2014) 9:e94632. 10.1371/journal.pone.0094632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lin JC, Wang WY, Chen KY, Wei YH, Liang WM, Jan JS, et al. Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma. N Engl J Med. (2004) 350:2461–70. 10.1056/NEJMoa032260 [DOI] [PubMed] [Google Scholar]
  • 34.Chai SJ, Pua KC, Saleh A, Yap YY, Lim PV, Subramaniam SK, et al. Clinical significance of plasma Epstein-Barr Virus DNA loads in a large cohort of Malaysian patients with nasopharyngeal carcinoma. J Clin Virol. (2012) 55:34–9. 10.1016/j.jcv.2012.05.017 [DOI] [PubMed] [Google Scholar]
  • 35.Teishima J, Kobatake K, Shinmei S, Inoue S, Hayashi T, Ohara S, et al. The effect of kinetics of C-reactive protein in the prediction of overall survival in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitor. Urol Oncol. (2017) 35:1. 10.1016/j.urolonc.2017.07.008 [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Oncology are provided here courtesy of Frontiers Media SA

RESOURCES