Literature DB >> 28209200

Roles of preoperative C-reactive protein are more relevant in buccal cancer than other subsites.

Shiao Fwu Tai1,2, Huei-Tzu Chien3, Chi-Kuang Young4, Chung-Kang Tsao5, Alba de Pablo5, Kang-Hsing Fan6, Chun-Ta Liao1,2, Hung-Ming Wang7, Chung-Jan Kang1,2, Joseph Tung-Chieh Chang6, Shiang-Fu Huang8,9.   

Abstract

BACKGROUND: C-reactive protein (CRP) is an early marker for inflammation, and a relationship between serum CRP levels and survival in oral cancer has been demonstrated previously. In this study, we investigated the roles of CRP in different oral cancer subsites.
METHODS: Three hundred and forty-three oral squamous cell carcinoma patients between June 1999 and March 2015 were retrospectively reviewed. Serum CRP levels were measured preoperatively.
RESULTS: The elevation of CRP levels (≥5.0 mg/L) was significantly correlated with pathologic tumor status, pathologic nodal status, nodal extracapsular spread, tumor stage, skin invasion, tumor depth (≥10 mm), and bone invasion. The correlation between elevation of CRP and clinicopathologic factors was more evident in the buccal cancer compared to other tumor subsites. The disease-free survival and overall survival correlation was significant in buccal cancer (p = 0.003 and p < 0.001) but not in tongue cancer (p = 0.119 and p = 0.341) or other oral cancer subsites (p = 0.246 and p = 0.696).
CONCLUSIONS: Preoperative serum CRP level was a prognosticator in oral squamous cell carcinoma, and its effect was more prominent in buccal cancer that occurs more frequently in areca-quid (AQ) endemic regions.

Entities:  

Keywords:  C-reactive protein; Oral squamous cell carcinoma; Prognosticator

Mesh:

Substances:

Year:  2017        PMID: 28209200      PMCID: PMC5314474          DOI: 10.1186/s12957-017-1116-5

Source DB:  PubMed          Journal:  World J Surg Oncol        ISSN: 1477-7819            Impact factor:   2.754


Background

Oral cavity cancer is a malignancy with increased incidence in recent years. As it is widely known, alcohol, betel nut, and cigarette consumption increased the risks of oral cavity cancer [1, 2]. Chronic exposure to these carcinogenic factors can cause transform the oral cavity mucosa into malignancy. Part of the Taiwanese population commonly consumes cigarettes and betel nuts; it makes the oral cancer fifth in the top ten common cancers in Taiwan, and its incidence still increases in recent years [3]. For oral cancer treatments, a decision of surgical intervention, radiotherapy, chemotherapy, or combination, depends on cancer staging, lymph node metastasis, pathologic factors, and distant metastasis. In recent years, more and more research studies proved that in addition to preoperative cancer staging, the patients’ preoperative condition plays an important role in predicting the prognosis of oral cavity cancer. Inflammation, which may contribute to the formation of oral cavity cancer or was resulted from the host reaction to the tumor progression (Fig. 1), was also found to correlate with patient’s prognosis [4]. Some inflammatory markers such as interleukin-6, tumor necrotic factor, and C-reactive protein (CRP) were recently identified as prognostic markers in oral cavity cancer [4-7]. CRP is an acute phase protein, which is synthesized by the liver and released into the bloodstream within several hours after tissue injury, being able to reflect infection or an inflammatory status [8]. In many human cancers, CRP has a role as a prognostic predicting factor [5, 7, 9–11].
Fig. 1

Patients with same tumor invasion into the skin. a Combined with peri-tumoral inflammation. b Without peri-tumoral inflammation

Patients with same tumor invasion into the skin. a Combined with peri-tumoral inflammation. b Without peri-tumoral inflammation We previously demonstrated that CRP was an independent prognostic factor in oral cavity squamous cell carcinoma (OSCC) [7]. However, the studies were limited by the case number and follow-up period. In this study, we expanded our patient number and included a longer follow-up period to clarify the prognostic role in OSCC. Also, we stratified our patients according to different tumor subsites. We hope that the analysis in this study will clarify the true prognostic value of CRP in OSCC.

Methods

OSCC patients

Three hundred and forty-three patients between June 1999 and March 2015 in Chang Gung Memorial Hospital were retrospectively recruited. The inclusion criteria were primary OSCC without previous treatment before. The exclusion criteria were patients with verrucous carcinoma or distant metastasis. All patients included in this study received radical surgery in curative intent and with or without adjuvant chemo-radiation therapy. After treatments, all the patients were followed up regularly in the clinic and ended on September 2015 or on the date that the patients expired.

OSCC staging and treatment

The patients in this series underwent an extensive preoperative survey, which included a detailed medical history and a complete physical examination, complete blood count, routine blood biochemistry, chest radiographs, computed tomography or magnetic resonance imaging scans of the head and neck, bone scan or positron emission tomography (PET), and liver ultrasound. The tumor staging followed the guidelines of the American Joint Committee on Cancer (7th edition) [12]. The tumor excisions in all patients were done by ≥1 cm safety margin. The tumor invasiveness parameters, which included tumor size, tumor cell differentiation, lymph node metastasis, lymph node extracapsular spread (ECS), depth of tumor invasion, perineural invasion, and soft tissue and lymphovascular invasion, were documented in the pathology report. For patients with advanced tumor stage (T3 or T4), lymph node ECS, tumor depth ≥10 mm, or poor differentiation, postoperative radiotherapy or concomitant chemoradiotherapy would be suggested [13].

Measurement of CRP

The serum CRP level was measured preoperatively at the time of tissue diagnosis. It was measured before any medical treatment was delivered, including antibiotics [6, 13]. The levels of CRPs were measured by an auto-analyzer (Hitachi Medico, Tokyo, Japan). Elevation of serum CRP level was defined at a cut point of ≥5.0 mg/L.

Statistical analysis

The mean values of preoperative CRP in different tumor subistes were compared using ANOVA. Chi-square test with univariate analysis were used in this study. Survival differences were compared with the log-rank test. SPSS software, version 18.0 (SPSS, Chicago, IL, USA), was used for data analysis. A two-sided p value ≤0.05 was defined as statistically significant.

Ethics approval and consent to participate

All patients signed informed consent for participation of this study. This study had ethics approval and consent by the ethic committee in Chang Gung Memorial Hospital (Institutional Review Board of Chang Gung Medical Foundation, IRB No. 201600949B0), Taiwan, Republic of China on August 24, 2016.

Results

Patient characteristics

The clinical information of 343 OSCC patients in this study were shown in Table 1 (318 men and 25 women) and in Additional file 1. Tongue (n = 132, 38.5%) and buccal mucosa (n = 126, 36.7%) were the most common OSCC sites in this study. Pathological tumor stage distributed as stage I (n = 76, 22.2%), stage II (n = 66, 19.2%), stage III (n = 43, 12.5%), stage IVa (n = 133, 38.8%), and stage IVb (n = 25, 7.3%). The mean preoperative CRP was 6.96 mg/L (standard deviation (SD) ±12.06). The tumor stages were not different between different tumor subsites (p = 0.100). The mean CRP level was 5.90 mg/L (±SD 10.53), 8.37 mg/L (±SD 15.01), and 6.52 mg/L (±SD 8.90) in tongue cancer, buccal cancer, and other oral cavity cancers, respectively. The CRP levels were not significantly different between subsites (ANOVA p = 0.240).
Table 1

Characteristics of 343 patients with OSCC

CharacteristicValue
Age (year)
 Mean (±SD)52.21 (±11.00)
 Range27.0–84.0
Gender
 Male25 (7.3%)
 Female318 (92.7%)
Site of primary cancer
 Tongue132 (38.5%)
 Mouth floor12 (3.5%)
 Lip24 (7.0%)
 Buccal mucosa126 (36.7%)
 Alveolar ridge31 (9.0%)
 Hard palate2 (0.6%)
 Retromolar trigone16 (4.7%)
Pathologic tumor status
 191 (26.5%)
 2119 (34.7%)
 324 (7.0%)
 4a85 (24.8%)
 4b24 (7.0%)
Pathologic N stage
 N0201 (58.6%)
 N147 (13.7%)
 N2b79 (23.0%)
 N2c15 (4.4%)
 N31 (0.3%)
Pathologic stage
 I76 (22.2%)
 II66 (19.2%)
 III43 (12.5%)
 IVa133 (38.8%)
 IVb25 (7.3%)
Characteristics of 343 patients with OSCC

Association between CRP level with clinicopathologic parameters and prognosis

The relationship between CRP levels and tumor clinicopathologic parameters in OSCCs were examined and showed in Table 2. Advanced tumor status (p < 0.001), tumor stage (p < 0.001), skin invasion (p < 0.001), bone invasion (p < 0.001), and tumor depth ≥10 mm (p < 0.001) and advanced pathologic nodal status (p = 0.006) and lymphatic invasion (p = 0.068) were significantly correlated with CRP elevation (CRP ≥ 5.0 mg/L).
Table 2

Association between CRP and clinicopathologic parameters (n = 343)

CharacteristicCRP p value
NegativePositive
Pathologic tumor status
 Early (T1–T2) (n = 210)181(86.2%)29(13.8%) <0.001
 Advanced (T3–T4) (n = 133)68(51.1%)65(48.9%)
Pathologic N stage
 N0 (n = 201)156(77.6%)45(22.4%) 0.006
 N1 (n = 47)36(76.6%)11(23.4%) 0.002 a
 N2 (n = 94)57(60.6%)37(39.4%)
 N3 (n = 1)0(0.0%)1(100.0%)
Nodal status
 (−) metastasis, (−) ECS (n = 201)156(77.6%)45(22.4%) 0.006
 (+) metastasis, (−) ECS (n = 59)44(74.6%)15(25.4%) 0.002 a
 (+) metastasis, (+) ECS (n = 83)49(59.0%)34(41.0%)
Differentiation
 Well (n = 107)77(72.0%)30(28.0%)0.308
 Moderate (n = 192)144(75.0%)48(25.0%)0.538a
 Poor (n = 44)28(63.6%)16(36.4%)
Tumor stage
 Early (I–II) (n = 142)123(86.6%)19(13.4%) <0.001
 Advanced (III–IV) (n = 201)126(62.7%)75(37.3%)
Skin invasion
 No (n = 304)231(76.0%)73(24.0%) <0.001
 Yes (n = 39)18(46.2%)21(53.8%)
Nerve invasion
 No (n = 229)171(74.7%)58(25.3%)0.221
 Yes (n = 114)78(68.4%)36(31.6%)
Blood vessel invasion
 No (n = 331)242(73.1%)89(26.9%)0.322b
 Yes (n = 12)7(58.3%)5(41.7%)
Lymphatic invasion
 No (n = 334)245(73.4%)89(26.6%)0.068b
 Yes (n = 9)4(44.4%)5(55.6%)
Tumor depth (≥10 mm)
 No (n = 160)137(85.6%)23(14.4%) <0.001
 Yes (n = 183)112(61.2%)71(38.8%)
Bone invasion
 No (n = 275)215(78.2%)60(21.8%) <0.001
 Yes (n = 68)34(50.0%)34(50.0%)

ECS extracapsular spread

aχ2 trend test

bFisher’s exact test

Association between CRP and clinicopathologic parameters (n = 343) ECS extracapsular spread aχ2 trend test bFisher’s exact test We further analyzed the association between CRP and clinicopathologic factors in different tumor sites (buccal, tongue, and other locations). In buccal cancer (Table 3), CRP elevation (CRP ≥ 5.0 mg/L) was significantly associated with advanced tumor status (p < 0.001), advanced stage (p = 0.001), advanced pathological nodal status (p = 0.009), nodal status with ECS (p = 0.003), tumor depth ≥ 10 mm (p < 0.001), skin invasion (p < 0.001), nerve invasion (p = 0.042), and bone invasion (p = 0.011).
Table 3

Association between CRP and clinicopathologic parameters in buccal cancer (n = 126)

CharacteristicCRP p value
NegativePositive
Pathologic tumor status
 Early (T1–T2) (n = 71)60(84.5%)11(15.5%) <0.001
 Advanced (T3–T4) (n = 55)25(45.5%)30(54.5%)
Pathologic N stage
 N0 (n = 70)52(74.3%)18(25.7%) 0.009
 N1 (n = 18)15(83.3%)3(16.7%) 0.006 a
 N2 (n = 37)18(48.6%)19(51.4%)
 N3 (n = 1)0(0.0%)1(100.0%)
Nodal status
 (−) metastasis, (−) ECS (n = 70)52(74.3%)18(25.7%) 0.003
 (+) metastasis, (−) ECS (n = 27)21(77.8%)6(22.2%) 0.005 a
 (+) metastasis, (+) ECS (n = 29)12(41.4%)17(58.6%)
Differentiation
 Well (n = 48)28(58.3%)20(41.7%)0.211
 Moderate (n = 62)46(74.2%)16(25.8%)0.192a
 Poor (n = 16)11(68.8%)5(31.2%)
Tumor stage
 Early (I–II) (n = 48)41(85.4%)7(14.6%) 0.001
 Advanced (III–IV) (n = 78)44(56.4%)34(43.6%)
Skin invasion
 No (n = 96)73(76.0%)23(24.0%) <0.001
 Yes (n = 30)12(40.0%)18(60.0%)
Nerve invasion
 No (n = 86)63(73.3%)23(26.7%) 0.042
 Yes (n = 40)22(55.0%)18(45.0%)
Blood vessel invasion
 No (n = 122)83(68.0%)39(32.0%)0.595b
 Yes (n = 4)2(50.0%)2(50.0%)
Lymphatic invasion
 No (n = 122)84(68.9%)38(31.1%)0.101b
 Yes (n = 4)1(25.0%)3(75.0%)
Tumor depth ≥10 mm
 No (n = 60)52(86.7%)8(13.3%) <0.001
 Yes (n = 66)33(50.0%)33(50.0%)
Bone invasion
 No (n = 92)68(73.9%)24(26.1%) 0.011
 Yes (n = 34)17(50.0%)17(50.0%)

ECS extracapsular spread

aχ2 trend test

bFisher’s exact test

Association between CRP and clinicopathologic parameters in buccal cancer (n = 126) ECS extracapsular spread aχ2 trend test bFisher’s exact test In tongue cancer (Table 4), CRP elevation (CRP ≥ 5.0 mg/L) showed a strong relationship with advanced pathological tumor status (p < 0.001) and correlated with advanced pathologic nodal status (p = 0.027) and advanced tumor stage (p = 0.021).
Table 4

Association between CRP and clinicopathologic parameters in tongue cancer (n = 132)

CharacteristicCRP p value
NegativePositive
Pathologic tumor status
 Early (T1–T2) (n = 96)83(86.5%)13(13.5%) <0.001
 Advanced (T3–T4) (n = 36)19(52.8%)17(47.2%)
Pathologic N stage
 N0 (n = 77)64(83.1%)13(16.9%) 0.027
 N1 (n = 15)13(86.7%)2(13.3%) 0.017 a
 N2 (n = 40)25(62.5%)15(37.5%)
Nodal status
 (−) metastasis, (−) ECS (n = 77)64(83.1%)13(16.9%)0.163
 (+) metastasis, (−) ECS (n = 17)12(70.6%)5(29.4%)0.066a
 (+) metastasis, (+) ECS (n = 38)26(68.4%)12(31.6%)
Differentiation
 Well (n = 33)28(84.8%)5(15.2%)0.152
 Moderate (n = 81)63(77.8%)18(22.2%)
 Poor (n = 18)11(61.1%)7(38.9%)
Tumor stage
 Early (I–II) (n = 64)55(85.9%)9(14.1%) 0.021
 Advanced (III–IV) (n = 68)47(69.1%)21(30.9%)
Skin invasion
 No (n = 131)101(77.1%)30(22.9%)1.000
 Yes (n = 1)1(100.0%)0(0.0%)
Nerve invasion
 No (n = 77)60(77.9%)17(22.1%)0.833
 Yes (n = 55)42(76.4%)13(23.6%)
Blood vessel invasion
 No (n = 130)100(76.9%)30(23.1%)1.000b
 Yes (n = 2)2(100.0%)0(0.0%)
Lymphatic invasion
 No (n = 129)101(78.3%)28(21.7%)0.129b
 Yes (n = 3)1(33.3%)2(66.7%)
Tumor depth (≥10 mm)
 No (n = 58)49(84.5%)9(15.5%)0.080
 Yes (n = 74)53(71.6%)21(28.4%)
Bone invasion
 No (n = 129)100(77.5%)29(22.5%)0.542b
 Yes (n = 3)2(66.7%)1(33.3%)

ECS extracapsular spread

aχ2 trend test

bFisher’s exact test

Association between CRP and clinicopathologic parameters in tongue cancer (n = 132) ECS extracapsular spread aχ2 trend test bFisher’s exact test In other tumor subsites (Table 5), the CRP elevation (CRP ≥ 5.0 mg/L) was significantly associated with advanced pathological tumor status (p = 0.001), tumor stage (p = 0.009), and bone invasion (p < 0.001). It was also correlated with tumor depth ≥10 mm (p = 0.009).
Table 5

Association between CRP and clinicopathologic parameters in subsites other than tongue and buccal mucosa (n = 85)

CharacteristicCRP p value
NegativePositive
Pathologic tumor status
 Early (T1–T2) (n = 43)38(88.4%)5(11.6%) 0.001
 Advanced (T3–T4) (n = 42)24(57.1%)18(42.9%)
Pathologic N stage
 N0 (n = 54)40(74.1%)14(25.9%)0.277
 N1 (n = 14)8(57.1%)6(42.9%)0.765a
 N2 (n = 17)14(82.4%)3(17.6%)
Nodal status
 (−) metastasis, (−) ECS (n = 54)40(74.1%)14(25.9%)0.915
 (+) metastasis, (−) ECS (n = 15)11(73.3%)4(26.7%)0.694a
 (+) metastasis, (+) ECS (n = 16)11(68.8%)5(31.2%)
Differentiation
 Well (n = 26)21(80.8%)5(19.2%)0.425
 Moderate (n = 49)35(71.4%)14(28.6%)0.195a
 Poor (n = 10)6(60.0%)4(40.0%)
Tumor stage
 Early (I–II) (n = 30)27(90.0%)3(10.0%) 0.009
 Advanced (III–IV) (n = 55)35(63.6%)20(36.4%)
Skin invasion
 No (n = 77)57(74.0%)20(26.0%)0.677a
 Yes (n = 8)5(62.5%)3(37.5%)
Nerve invasion
 No (n = 66)48(72.7%)18(27.3%)0.934
 Yes (n = 19)14(73.7%)5(26.3%)
Blood vessel invasion
 No (n = 79)59(74.7%)20(25.3%)0.337a
 Yes (n = 6)3(50.0%)3(50.0%)
Lymphatic invasion
 No (n = 83)60(72.3%)23(27.7%)0.383
 Yes (n = 2)2(100.0%)0(0.0%)
Tumor depth ≥10 mm
 No (n = 42)36(85.7%)6(14.3%) 0.009
 Yes (n = 43)26(60.5%)17(39.5%)
Bone invasion
 No (n = 54)47(87.0%)7(13.0%) <0.001
 Yes (n = 31)15(48.4%)16(51.6%)

ECS extracapsular spread

aχ2 trend test

† Fisher’s exact test

Association between CRP and clinicopathologic parameters in subsites other than tongue and buccal mucosa (n = 85) ECS extracapsular spread aχ2 trend test † Fisher’s exact test

The association between CRP and survival

Comparing the prognosis between the two by univariate analysis, the group with lower CRP (CRP < 5.0 mg/L) has a longer disease-free survival (DFS) than the high CRP group (CRP ≥ 5.0 mg/L), (log-rank test p ≤ 0.001, Fig. 2a). Similarly, overall survival (OS) is longer in the low CRP level group (CRP < 5.0 mg/L) compared to the high CRP level group (CRP ≥ 5.0 mg/L) (log-rank test p ≤ 0.001, Fig. 2b). The hazard ratio (HR) for CRP including all subsites, DFS 1.902 (95% confidence interval (CI) 1.302–2.778) and OS 2.235 (95% CI 1.393–3.585). We analyzed the influence of CRP on survival according to different subsites: the HR for CRP in tongue cancer DFS 1.785 (95% CI 0.848–3.757); OS 1.535 (95% CI 0.630–3.741); the HR for CRP in buccal cancer, DFS 2.293 (95% CI 1.309–4.017); OS 3.610 (95% CI 1.732–7.526); the HR for CRP in other cancer subsites, DFS 1.577 (95% CI 0.721–3.449), OS 1.252 (95% CI 0.403–3.885).
Fig. 2

Survival curves in 343 OSCC patients related to the preoperative CRP level. a The lower CRP level group showed significantly better DFS compared to the higher CRP group (p < 0.001). b The lower CRP level group showed significantly better OS compared to the higher CRP level group (p < 0.001)

Survival curves in 343 OSCC patients related to the preoperative CRP level. a The lower CRP level group showed significantly better DFS compared to the higher CRP group (p < 0.001). b The lower CRP level group showed significantly better OS compared to the higher CRP level group (p < 0.001)

Discussion

Our previous studies showed a positive relationship between CRP level elevation and advanced oral cavity cancer stage [6]. Therefore, CRP has the potential to be a biomarker for oral cavity cancer and a predictor of prognosis before treatment. In this study, we recruited more cases (343 cases) to evaluate the connection between preoperative serum CRP level, oral cavity cancer stage, and prognosis. In the present study, oral cavity cancer had a greater prevalence between males, with mean age falling in the middle age period. This distribution was probably due to greater exposure to oral cavity cancer risk factors (smoking, drinking, and chewing betel nut habit) [14-17] in this subgroup. In contrary, the most common site of oral cavity cancer in the Western population is the tongue. However, in Taiwan, due to betel nut chewing, the common sites of oral cavity cancer are buccal mucosa and tongue, compatible with our patientstumor site distribution [18, 19]. It is still a debate if the elevation of CRP could be due to a concomitant pulmonary infection or other infection, and be non-specific for oral cancer. In 18 of our cases, the CRP levels were checked twice. The first test was at the time of diagnosis, and the second test was performed the day before surgery. Eighty-three percent of the patients had similar levels or a more elevated CRP level in the second test; only three cases had lower CRP levels in the second test (Fig. 3, paired t test p = 0.201). This indicated that the serum CRP levels are stable in OSCC cancer patients, and so, the serum level analyzed in our study was not amenable to change in a different time period.
Fig. 3

The change of preoperative serum CRP levels in 18 OSCC who had tests of CRP level twice before surgery

The change of preoperative serum CRP levels in 18 OSCC who had tests of CRP level twice before surgery CRP is an acute phase protein as the host reacts to an inflammatory response and released from the liver into the bloodstream. Because of its short plasma half-life and robust reaction, it has been used clinically as a marker for inflammatory or infectious status [10, 11, 20, 21]. Recently, CRP has proved a predictive factor in certain human cancers such as gastrointestinal, breast, lung, and gynecologic cancers [9, 22–26]. There are three mechanisms about the relationship between CRP elevation and cancer prognosis: (1) oxidative damage caused by inflammation promotes tumor growth, (2) the tumor growth and apoptosis induced the release of CRP, (3) inflammation is a contributing factor to tumor progression and reflects in the elevation of CRP. We demonstrated that the CRP level was closely related with an increased squamous cell carcinoma antigen (SCC-Ag) and neutrophil to lymphocyte ratio (NLR) in peripheral blood tests at the time of diagnosis in OSCC patients [7, 27]. The SCC-Ag was closely related with primary tumor status and lymph node metastasis, which could stand for the tumor burden [7, 28, 29]. The elevated neutrophil ratio could be from tumor growth and the consequent immune response from the host. Circulating neutrophils contain and secrete various cytokines including circulating matrix metalloproteinases [30], vascular endothelial growth factor (VEGF) [31], platelet-derived growth factor, fibroblast growth factor, CXCL8 [32], elastases [33], and interleukin-8 [34]. These cytokines create a microenvironment that facilitates extracellular matrix remodeling, endothelial cell migration, and tumor cell invasion. Also, the released cytokines such as IL-6 could further stimulate the production of CRP in the liver [8]. In this study, CRP elevation and tumor status presented a clear positive correlation. To clarify the role of preoperative serum CRP level in OSCC, we stratified our patients into different subsites. There was a similar relationship between CRP elevation and tumor status for each cancer subsite. In the literature, nine studies investigated the roles of CRP in OSCC (Table 6) [6, 35–40]. Only one study did not find any association between CRP elevation and survival. Another point to consider is the fact that the included studies used inconsistent cut-off values for CRP levels, which caused heterogeneity in the influence of CPR in prognosis. In a meta-analysis in urologic malignancies, a similar condition of different cut-off points was observed, and they found setting the level at 5.0 mg/L was the most appropriate [41].
Table 6

Literature review for the relationship of CRP level and survival in OSCC patients

Authors/yearTumor sites/nationsCase no.Cut-off point, tumor stageDisease-free survival (DFS)Overall survival (OS)
Jablonska E. et al. (1997) [5]OSCC/Poland42Compares mean values, significant difference between stages IV vs II (p < 0.01)NANA
Khandavilli S.D. et al. (2009) [36]OSCC/United Kingdom60CRP > 5.0 mg/L; significant with tumor stage, p = 0.046NASignificant in OS (p < 0.001) (multivariate)
Kruse A.L. et al. (2010) [37]OSCC/Switzerland278CRP > 5.0 mg/L; NANo significant difference (p = 0.137)Not significant in time to metastasis (p = 0.468)
Chen, H.H. et al. (2011) [6]OSCC/Taiwan59CRP ≥ 5.0 mg/L, significant with tumor stage, p = 0.005Significant difference in 2-year DFS, p < 0.001Significant difference in 2-year OS, p = 0.013
Grimm, M. et al. (2012) [45]OSCC/Germany187CRP ≥ 1.1 mg/L; LPI significantly correlated with advanced tumor stage, p = 0.0002a 5-year DFS, p < 0.0001NA
Huang SF et al. (2012) [7]OSCC/Taiwan142CRP ≥ 5.0 mg/L, significantly related with tumor stage, p = 0.0013-year DFS, p < 0.0013-year OS, p = 0.008
Peter F. et al. (2013) [38]HNSCC/Germany261CRP ≥ 2.0 mg/L, significant with advanced tumor stage, p = 0.006; nodal status, p = 0.045NA5-year OS, p < 0.0001
Chen, I.H. et al. (2014) [39]OSCC/TaiwanRecurrent OSCC, 100CRP ≥ 5.0 mg/L, significant with tumor stage, p < 0.001NAMean 33.53 months, OS significantly different, p < 0.001
Farhan-Alanie, O.M. et al. (2015) [40]OSCC and soft palatal ca/ United Kingdom178Modified Glasgow scale: combined albumin (<35 g/L) and CRP (>10 mg/L) levelModified Glasgow scale related with cancer-specific survival (p < 0.001)Modified Glasgow scale related with overall survival (p < 0.001)

aCombines CRP, Hb, and WBC as laboratory prognostic index (LPI)

Literature review for the relationship of CRP level and survival in OSCC patients aCombines CRP, Hb, and WBC as laboratory prognostic index (LPI) In this study, we found an elevated CRP was highly correlated with primary tumor status, tumor depth, and lymph node metastasis in OSCCs. Regarding the tumor subsites, the elevation of CRP in buccal cancer had the most promising association with most clinicopathologic factors. In addition, the elevation of CRP was related with lymph node metastasis in buccal and tongue cancers, while the association between increased CRP and ECS was only found in buccal cancer (Tables 3, 4, and 5). The stronger relationship between CRP and buccal cancer in our series may be due the high incidence of AQ consumption in our population, making the buccal mucosa the site of greatest risk of contracting malignancy in betel quid chewers [42, 43]. The intimate contact between the buccal mucosa and the AQ during chewing induces chronic and abnormal mucosa inflammation by promoting the release of inflammatory mediators like IL-6, TNF-α, and PGE2 by oral keratinocytes [44], playing a crucial role in the pathogenesis of oral cancer. We believe that there are limitations in this study. The major one comes from the case number in each tumor subsite. However, from this preliminary analysis, we believe that determining CRP levels preoperatively, especially in buccal cancer, would be relevant and useful to clinicians because CRP measurement is rapid, inexpensive, and repeatable in a clinical setting. Using CRP as a biomarker could help clinicians select proper treatment strategies for patients with OSCC, detecting which patients would benefit from adjuvant treatment by predicting pathologically aggressive tumors based on their CRP levels [6].

Conclusions

The presence of an elevated serum CRP level preoperatively (≥5.0 mg/L) is an important prognostic indicator in oral cancer in the Taiwanese population. Elevated CRP levels are associated with tumor stage and locoregional invasiveness. Furthermore, the prognostic prediction is more evident in buccal cancer, which could be attributed to the tumor’s behaviors related with AQ and tobacco use.
  43 in total

1.  Preoperative C-reactive protein as a prognostic predictor for upper tract urothelial carcinoma: A systematic review and meta-analysis.

Authors:  You Luo; Sheng Jun Fu; Dong Li She; H U Xiong; L I Yang
Journal:  Mol Clin Oncol       Date:  2015-04-24

Review 2.  Alcohol consumption and cancers of the oral cavity and pharynx from 1988 to 2009: an update.

Authors:  Binh Y Goldstein; Shen-Chih Chang; Mia Hashibe; Carlo La Vecchia; Zuo-Feng Zhang
Journal:  Eur J Cancer Prev       Date:  2010-11       Impact factor: 2.497

3.  C-reactive protein and risk of lung cancer.

Authors:  Anil K Chaturvedi; Neil E Caporaso; Hormuzd A Katki; Hui-Lee Wong; Nilanjan Chatterjee; Sharon R Pine; Stephen J Chanock; James J Goedert; Eric A Engels
Journal:  J Clin Oncol       Date:  2010-04-26       Impact factor: 44.544

4.  Generation of biologically active angiostatin kringle 1-3 by activated human neutrophils.

Authors:  Patrizia Scapini; Lorella Nesi; Monica Morini; Elena Tanghetti; Mirella Belleri; Douglas Noonan; Marco Presta; Adriana Albini; Marco A Cassatella
Journal:  J Immunol       Date:  2002-06-01       Impact factor: 5.422

5.  Refining the role of preoperative C-reactive protein by neutrophil/lymphocyte ratio in oral cavity squamous cell carcinoma.

Authors:  Hsuan-Yeh Fang; Xin Yong Huang; Huei-Tzu Chien; Joseph Tung-Chieh Chang; Chun-Ta Liao; Jung-Ju Huang; Fu-Chan Wei; Hung-Ming Wang; I-How Chen; Chung-Jan Kang; Shiang-Fu Huang
Journal:  Laryngoscope       Date:  2013-04-25       Impact factor: 3.325

6.  Serum C-reactive protein as a prognostic indicator in patients with oral squamous cell carcinoma.

Authors:  Sunil D Khandavilli; Padraig O Ceallaigh; Christopher J Lloyd; Rhiannon Whitaker
Journal:  Oral Oncol       Date:  2009-06-06       Impact factor: 5.337

7.  Prevalence of betel quid chewing habit in Taiwan and related sociodemographic factors.

Authors:  Y C Ko; T A Chiang; S J Chang; S F Hsieh
Journal:  J Oral Pathol Med       Date:  1992-07       Impact factor: 4.253

Review 8.  C-Reactive Protein and Breast Cancer: New Insights from Old Molecule.

Authors:  Shilpa Balaji Asegaonkar; Balaji Narayanrao Asegaonkar; Unmesh Vidyadhar Takalkar; Suresh Advani; Anand Pandurang Thorat
Journal:  Int J Breast Cancer       Date:  2015-11-26

Review 9.  Association of betel nut with carcinogenesis: revisit with a clinical perspective.

Authors:  Rajeshwar N Sharan; Ravi Mehrotra; Yashmin Choudhury; Kamlesh Asotra
Journal:  PLoS One       Date:  2012-08-13       Impact factor: 3.240

10.  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

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  5 in total

Review 1.  Mediators of Inflammation - A Potential Source of Biomarkers in Oral Squamous Cell Carcinoma.

Authors:  Mircea Tampa; Madalina Irina Mitran; Cristina Iulia Mitran; Maria Isabela Sarbu; Clara Matei; Ilinca Nicolae; Ana Caruntu; Sandra Milena Tocut; Mircea Ioan Popa; Constantin Caruntu; Simona Roxana Georgescu
Journal:  J Immunol Res       Date:  2018-11-12       Impact factor: 4.818

2.  Preoperative C-reactive protein to albumin ratio and oral health in oral squamous cell carcinoma patients.

Authors:  Arvi Keinänen; Johanna Uittamo; Magdalena Marinescu-Gava; Satu Kainulainen; Johanna Snäll
Journal:  BMC Oral Health       Date:  2021-03-19       Impact factor: 2.757

Review 3.  C-Reactive Protein and Cancer-Diagnostic and Therapeutic Insights.

Authors:  Peter C Hart; Ibraheem M Rajab; May Alebraheem; Lawrence A Potempa
Journal:  Front Immunol       Date:  2020-11-19       Impact factor: 7.561

4.  A multi-omics-based investigation of the prognostic and immunological impact of necroptosis-related mRNA in patients with cervical squamous carcinoma and adenocarcinoma.

Authors:  Jiani Zou; Zhiheng Lin; Xiaodan Zhang; Junde Zhao; Wenjian Jiao; Jun Chen; Lidong Lin; Fang Zhang
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

5.  The Pre-Treatment C-Reactive Protein Represents a Prognostic Factor in Patients with Oral and Oropharyngeal Cancer Treated with Radiotherapy.

Authors:  Olivia Knittelfelder; Daniela Delago; Gabriele Jakse; Katarzyna Lukasiak; Eva-Maria Thurner; Dietmar Thurnher; Martin Pichler; Wilfried Renner; Heidi Stranzl-Lawatsch; Tanja Langsenlehner
Journal:  Cancers (Basel)       Date:  2020-03-08       Impact factor: 6.639

  5 in total

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