Open Access

C‑reactive protein and related predictors in soft tissue sarcoma (Review)

  • Authors:
    • Tomoki Nakamura
    • Kunihiro Asanuma
    • Tomohito Hagi
    • Akihiro Sudo
  • View Affiliations

  • Published online on: November 24, 2023     https://doi.org/10.3892/mco.2023.2704
  • Article Number: 6
  • Copyright: © Nakamura et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

C‑reactive protein (CRP) is a useful predictor of poor survival in patients with several types of cancer because inflammation is strongly associated with cancer progression. The production of CRP in hepatocytes appears to be primarily induced at the transcriptional level following the elevation of circulating interleukin‑6 (IL‑6), which is produced by various cell types, including cancer cells and cancer‑associated fibroblasts. Serum CRP levels are associated with serum IL‑6 levels in patients with soft tissue sarcoma (STS). Additionally, patients with elevated CRP levels had worse oncological outcomes than those with normal CRP levels. It has been attempted to combine CRP levels with other inflammatory or immune markers, and the utility of this has been demonstrated. Therefore, a novel treatment strategy should be developed for patients with STS with elevated CRP levels. The present review aimed to clarify the role of CRP levels and related tools in predicting clinical outcomes in patients with STS.

1. Introduction

Soft tissue sarcoma (STS) is a rare and heterogeneous tumour with an incidence of STS is fewer than 6 cases per 100,000 people (1,2). The prognostic factors for STS are well-known and include tumor size, grade, and age (3-5). The standard treatment is surgical tumor resection with a wide margin (6). This implies the removal of the tumor in a single specimen with a rim of normal tissue around it. Perioperative radiotherapy or chemotherapy may be considered for patients with high-grade STS (6). Radiotherapy should be delivered at a total dose of 50 Gy in 1.8-2 Gy fractions in the preoperative setting. In the postoperative setting, doses of up to 66 Gy are administered, depending on clinical presentation, such as age, tumor site, and surgical margins (6). High-grade, large, and deep-seated STS is considered high-risk, and perioperative chemotherapy using doxorubicin and ifosfamide could be a treatment option for of STS (7). However, even after radical treatment of primary STS, as many as 50% of these patients experience local recurrence or distant metastasis (8,9). Patients receiving systemic chemotherapy for widely metastatic or locally advanced diseases are unsuitable for surgery or radiotherapy. Doxorubicin-based chemotherapy is commonly used as first-line chemotherapy (9,10). Pazopanib, trabectedin, and eribulin have been administered since 2012. However, the outcome for metastatic patients remains poor, with a median reported overall survival of 14-20 months (9). Therefore, easy, well-known, and low-cost markers may help to identify a high risk of tumor relapse. Most physicians are familiar with C-reactive protein (CRP) as an inflammatory marker. CRP level is a useful predictor of poor survival in patients with several types of cancer. Herein, we aimed to clarify the role of CRP level in predicting clinical outcomes in patients with STS.

2. Relationship between interleukin (IL)-6, CRP and STS

Virchow observed the infiltration of leucocytes in malignant tissues and proposed the site of chronic inflammation as the origin of cancer in 1863(11). For the first time, they proposed a relationship between inflammation and carcinogenesis. Some tumors develop at the site of chronic inflammation, and some induce an inflammatory microenvironment in the tumor (12). The inflammatory component is present in the microenvironment of tumor cells, which contain white blood cells, macrophages with cytokines, and chemokines as principal mediators of inflammation. The inflammatory microenvironment plays a critical role in tumor progression (13,14). Lymphocytes are the most important type of peripheral blood cells involved in cancer cells proliferation, migration, and invasion (15,16). Inflammatory cytokines and chemokines, such as IL-6 and tumor necrosis factor (TNF), which are produced by tumor cells or tumor-associated leucocytes and platelets, may contribute directly to tumor progression (13,14). Because of chronic inflammation at tumor sites, IL-6 is produced by various cell types, including cancer cells and cancer-associated fibroblasts (17). IL-6 also induces CRP production in hepatocytes (Fig. 1) (18). Nakamura et al (19) found a relationship between IL-6 and IL-6 receptor (IL-6R) expression in tumor tissues and survival in 86 patients with STSs. Patients exhibiting high expression of both IL-6 and IL-6R in tumors have poor survival. In contrast, patients with low tumor expression of both IL-6 and IL-6R had better survival. They also demonstrated the relationship between serum IL-6 and CRP levels and the expression of IL-6 in tissues. Fu et al (20) reported that positive expression of IL-6 and IL-6R in renal cell cancer was significantly associated with poor survival in multivariate analysis. The circumstances around the tumor may reflect systemic inflammatory conditions. Hagi et al (21) found that serum IL-6 levels could be useful for differentiating benign soft tissue tumors from STS in 99 patients. Serum IL-6 levels (median: 9.04 pg/ml) in 59 patients with STS were statistically higher than those (3.31 pg/ml) in 40 patients with benign soft tissue tumors. CRP, hemoglobin levels, and tumor grade were strongly correlated with serum IL-6 levels. In the multivariate analysis, they also found that serum IL-6 levels were associated with tumor-related death in 59 patients. Rutkowski et al (22) showed that increased serum levels of IL-6 were observed in 61% of STS patients. Serum IL-6 levels are correlated with tumor size and grade (22). The production of CRP in hepatocytes is primarily induced at the transcriptional level following the elevation of circulating IL-6. In renal and esophageal cancers, the immunohistochemical expression of CRP in tumor samples was a prognostic indicator. Cancer cells may increase the production of inflammatory proteins, which may explain their high CRP levels (23,24). However, there are no reports of STS cells.

3. Diagnostic value of serum CRP levels in STS

Clinically, more extensive, or deeper tumors are likely to be STS (3-5). Magnetic resonance imaging (MRI) is important for evaluating soft tissue masses (25,26). Although some lesions can be readily identified based on their imaging characteristics, many soft tissue tumors remain indeterminate and require biopsy for histological diagnosis (27). Identifying additional differential diagnostic markers that are accurate and readily available can facilitate the clinical management of patients with soft tissue tumors. Studies on the association between serum CRP levels and soft-tissue tumor diagnosis, including ours, have been reported in Japanese patients. Nakamura et al (28) measured high-sensitivity CRP (Hs-CRP) levels. Serum samples were collected from 14 healthy subjects, 35 patients with benign soft-tissue tumors, and 60 patients with STS. Blood samples were obtained before treatment from 35 patients with benign soft tissue tumors and 60 patients with STS. The Hs-CRP levels in patients with STS were significantly higher than those observed in patients with benign soft tissue tumors and healthy subjects. In the receiver operating characteristic (ROC) analysis, a value of 0.95 µg/ml was found to be an appropriate threshold for identifying patients at risk for diagnosis of STS. The area under the curve is 0.747. Serum hs-CRP levels exhibited a sensitivity and specificity of 50 and 94.3%, respectively, for identifying STS. Ariizumi et al (29) analyzed the hematological and chemical abnormalities in 158 benign soft tissue tumors and 201 STSs. The median CRP levels in benign tumors were 0.16 mg/dl, while 1.06 mg/dl in STSs (P<0.001). Significant increases in granulocyte count, erythrocyte sedimentation rate (ESR), and γ-glutamyl transpeptidase levels were also found in patients with STSs. Multiple logistic regression analysis showed that tumor size and ESR were independent variables (29). Fujibuchi et al (30) analyzed hematological and chemical abnormalities in 457 benign soft tissue tumors, 40 intermediate tumors, such as desmoid tumors, and 91 STSs. The CRP levels were 0.05 mg/dl in benign tumors, 0.07 mg/dl in intermediate tumors, and 0.19 mg/dl in STS, respectively. Multivariable analysis revealed that large tumor size, high white blood cell count, low hemoglobin count, elevated CRP levels, and high lactate dehydrogenase levels were significant predictive factors for STS. Universally, the normal levels of CRP as routine blood at hospitals vary from 0.2 to 1 mg/dl. Although those studies found higher levels of CRP in patients with STS than in those with benign tumors, the median CRP levels in patients with STS were around normal levels. Therefore, the diagnostic value of CRP for identifying patients at risk of STS in real-world practice may be low, although elevated CRP levels may be strongly supportive for identifying STS (Fig. 2).

4. Prognostic value of serum CRP in STS

Preoperative elevated CRP levels are strongly associated with oncological events and poor survival in many types of cancers, such as renal cell, colorectal, lung, gastrointestinal, prostate, and esophageal cancer (31-37). In 2012, Nakamura et al (38) reported the relationship between CRP and STS and first showed the predictive value of CRP for event-free survival (EFS) in a multivariate analysis. In total, 102 Japanese patients with primary STS were included in this study. Normal CRP levels at the hospital were < 0.3 mg/dl. Fourteen (32%) of the 44 patients with grade 3 STS, according to the French Federation of Cancer Centers Sarcoma Group (FNCLCC) grading system (39), had elevated CRP levels. Nakamura et al (40) investigated 332 UK patients with high-grade (FNCLCC grades 2 and 3) STS, and 45.8% of the patients had elevated CRP levels. The normal serum CRP level was < 10 mg/l. CRP elevation was associated with a larger tumor size and advanced clinical stage. In multivariate analysis, they first reported that pre-treatment CRP levels were a poor prognostic factor for disease-specific survival (DSS) and local control in patients with STS. In the last 10 years (38,40-47), the value of CRP for predicting clinical outcomes has been supported by several studies (Table I).

Table I

Relationship between threshold of CRP levels and oncological outcomes.

Table I

Relationship between threshold of CRP levels and oncological outcomes.

First author/s, yearNo.HistologyCRP levels, mg/dlWorse outcome(Refs.)
Nakamura et al, 2012102L-STS>0.3EFS(38)
Nakamura et al, 2013332L-STS>10DSS, LRFR(40)
Szkandera et al, 2013304L-STS>6.9CSS, DFS(41)
Choi et al, 2014162L-STS>0.2DSS, LRFR(42)
Panotopoulos et al, 201585L- or M-LPS0.87DSS(43)
Sambri et al, 2020126L-MFS0.5DSS(44)
Yanagisawa et al, 201898L-STS0.5OS(45)
Sato et al, 2021141M-STS0.3OS(46)
Nakamura et al, 201747M-STS0.2 or 0.3aDSS(47)

[i] aThis was a multi-center study. One institute defined the threshold of CRP as 0.2 mg/dl, while the others defined it as 0.3 mg/dl. CRP, C-reactive protein; CSS, cancer-specific survival; DFS, disease-free survival; DSS, disease-specific survival; EFS, event-free survival; L-, localized; LPS, liposarcoma; LRFR, local recurrence-free survival; M-, metastatic; MFS, myxofibrosarcoma; OS, overall survival; STS, soft tissue sarcoma.

CRP elevation is an independent predictor of survival, EFS, and local recurrence-free survival in STS patients. The cut-off level varied from 0.14 to 1.0 mg/dl (10 mg/l). Many studies included all types of STS histology, but two studies included only one histology. Panotopoulos et al (43) analyzed 85 Austrian patients with liposarcoma (LPS). Patients with other sub-histologies (e.g. de-differentiated LPS) had more than triple the mean CRP level than patients with well-differentiated LPS (1.58 vs. 0.55 mg/dl, P=0.005). This study identified preoperative CRP (cut-off value=0.87 mg/dl) and alkaline phosphatase (ALP) levels as novel independent predictors of DSS in patients with LPS. Sambri et al (44) included 126 Italian patients with high-grade myxofibrosarcoma (MFS). In multivariate analysis, tumor size and grade, preoperative CRP values (cut-off value=0.5 mg/dl) and neutrophil-to-lymphocyte ratio (NLR, cut-off value=3.5) were confirmed to be independent factors for predicting DSS. Yanagisawa retrospectively compared the relationship between CRP levels and survival in patients with and without neoadjuvant radiotherapy (45). They measured CRP levels before upfront surgery and neoadjuvant radiotherapy in 49 Japanese patients with STS. Neoadjuvant radiotherapy is associated with increased CRP levels. However, there was no difference in overall survival (OS) between high (>0.5 mg/dl) and low CRP levels among 49 patients receiving neoadjuvant radiotherapy. In multivariate analysis, CRP was an independent predictor of OS in 49 patients who underwent upfront surgery, while CRP was not associated with survival in 49 patients receiving neoadjuvant radiotherapy. They hypothesized that neoadjuvant radiotherapy might impact the inflammatory microenvironment around tumor cells differently than upfront surgery and alter the interaction of inflammatory markers with the outcome (45,48,49). Although many studies have evaluated CRP levels before initial treatment, Sato et al (46) evaluated CRP levels before treatment with pazopanib in patients with advanced STS. They analyzed prospectively collected data from 141 Japanese patients with recurrent or metastatic non-round cell STS who began pazopanib treatment. Multivariate analysis indicated that pre-treatment NLR (cut off value=3.0), LPS histology, primary extremity site, Eastern Cooperative Oncology Group (ECOG) performance status and CRP levels (cut off value=0.3 mg/dl) were independent predictors of predicting OS. More than half of the patients (52%) had elevated CRP levels. Nakamura et al (47) also observed elevated CRP levels in 20 (42.6%) of 47 patients with metastasis at initial presentation, indicating that CRP was related to tumor aggressiveness and progression. In summary, CRP may be a useful maker for predicting oncological outcome in STS. However, as a limitation, the heterogeneity of histology and treatment were included in previous studies. Further studies should be necessary as prospective studies for evaluating the validation.

5. Prognostic tool using CRP for predicting survival in STS

Some studies have demonstrated the utility of a combination of CRP levels and other serum markers (Table II). The Glasgow prognostic score (GPS), modified GPS (mGPS), and high-sensitivity mGPS (HS-mGPS) have been shown to predict oncological outcomes in several types of cancers, including STS (50-52). A combination of CRP levels and hypoalbuminemia was applied to these scoring systems. Albumin is the most abundant circulatory protein, and serum albumin levels vary according to the degree of catabolism during normal homeostasis and in the presence of disease (53). Various causes of hypoalbuminemia have been described in patients with cancer. The most important cause is increased catabolism and following cachexia (54). Since 2015, GPS, mGPS, and HS-mGPS have been shown to provide additional prognostic information in patients with STS (55-62). Appropriate GPS may depend on the type of cancer. Recently, Spence et al (55) reported 493 STS patients using clinical databases from six collaborating hospitals in three countries. Multivariant Cox regression analysis demonstrated an elevated mGPS was significantly associated with reduced overall survival (HR 1.8 (95% CI 1.1 to 2.9); P=0.007). Therefore, mGPS may be an appropriate tool for predicting survival in STS. Further studies using GPS and HS-mGPS must be considered in multicenter or international institutions.

Table II

Predictive tools using CRP in STS.

Table II

Predictive tools using CRP in STS.

First author/s, yearNo.HistologyToolOutcome(Refs.)
Spence et al, 2022493L-STSmGPSOS(55)
Nakamura et al, 2015139L-STSHs-mGPSDSS, EFS(56)
Tsuda et al, 2017202L-STSHs-mGPSEFS(57)
Jiang et al, 2017165L-STSmGPSPFS(58)
Aggerholm-Pedersen et al, 2019265M-STSGPSDSS(59)
Hou et al, 2020454L-STSHs-mGPSOS(60)
Mahyudin et al, 202080L-STSmGPSOS(61)
Nakamura et al, 2022132L-STSLCREFS(63)
Matsui et al, 2022113L-STSCLROS(64)
Nakamura et al, 2013142L- or M-STSCRP and NLRDSS(69)

[i] CLR, C-reactive protein-lymphocyte ratio; CRP, C-reactive protein; DSS, disease-free survival; EFS, event-free survival; GPS, Glasgow prognostic score; Hs-mGPS, high sensitivity Glasgow prognostic score; L-, localized; LCR, lymphocyte-C-reactive protein ratio; M-, metastatic; mGPS, modified Glasgow prognostic score; NLR, neutrophil-lymphocyte ratio; OS, overall survival; PFS, progression-free survival; STS, soft tissue sarcoma.

Other studies reported the utility of a combination of CRP level and absolute lymphocyte count (ALC) in patients with STS (63,64). Peripheral lymphocytes play a critical role in host cell-mediated cytotoxic immunity against tumors by inducing cytotoxic cell death and inhibiting tumor cell proliferation and migration. High lymphocytic infiltration into the tumor stroma has been reported to be associated with better survival and superior response to systemic therapy (65). The combination of CRP levels and ALC is considered a surrogate marker of immunity and inflammation in patients with cancer. The lymphocyte-CRP ratio (LCR), the reciprocal of CLR, has been reported as a poor prognostic marker in several types of cancer (66-68). In 2022, two studies were published in the field of STS using LCR or CLR (63,64). Matsui et al (64) reviewed 113 patients with retroperitoneal STS. Multivariate analysis showed that elevated CLR and de-differentiated LPS were associated with poor overall survival in all retroperitoneal STS cases (64). Interestingly, in de-differentiated LPS, patients with high preoperative CLR, whose postoperative CLR was normalized, demonstrated a favorable survival rate similar to those with low preoperative CLR. Nakamura et al (63) analyzed 132 patients with STS and found that LCR might be a prognostic factor for predicting oncological events. However, on Receiver operating characteristic analysis, there was no significant difference in predicting DSS in the area under the curve (AUC) between CRP level and LCR. However, the utility of LCR or CLR for predicting survival in STS were not validated in multicenter international studies. Finally, Nakamura et al (69) confirmed whether the combined use of CRP level and NLR before treatment predicted DSS in adult patients with STS. In addition to the role of lymphocytes in the tumor microenvironment (65), neutrophils release mediators to provide a stimulating microenvironment that allows for more aggressive tumor behavior by sustaining cell proliferation and facilitating genomic instability (70). Therefore, NLR has also been reported to be a prognostic factor for predicting survival in cancer patients, including STS (55,71,72). Especially, Spence et al (55) also analyzed 493 STS patients from six collaborating hospitals in three countries and showed an elevated NLR (>4) was significantly associated with reduced overall survival (HR 1.5 (95% CI 1.0 to 2.3); P=0.029) in multivariate analysis. Although there is no definitive ratio of NLR for predicting survival, the subgroup of patients with a high NLR and elevated CRP level is at high risk of oncological events and may represent a study population for a new adjuvant therapy trial in the future.

6. Future perspective

The production of CRP is stimulated in hepatocytes by IL-6(18). IL-6 first binds to IL-6R. The IL-6/IL-6R complex then associates with the signal-transducing membrane protein gp130, inducing its dimerization to initiate IL-6 signaling (17,73). They regulate the expression of signal transducer and activator of transcription 3 (STAT3), a prooncogenic transcription factor. STAT3 activation induces the expression of numerous effector genes involved in cell proliferation, differentiation, and survival. Thus, the blockade of IL-6/STAT3 signaling cascades may be a promising approach to improve clinical outcomes in cancers.

7. Conclusions

We reviewed the role of CRP in STS. CRP is a surrogate marker of the cancer-related inflammation. CRP and its combined use may be useful tools for predicting oncological outcomes. A new aggressive strategy is necessary to improve future outcomes in patients with elevated CRP levels.

Acknowledgements

Not applicable.

Funding

Funding: No funding was received.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Authors' contributions

TN conceived and designed the study. TN, TH and KA acquired data. TN, TH, KA and AS analyzed and interpreted the data. TN drafted the manuscript. TH created tables and figures. KA and AS edited and reviewed the manuscript. AS was responsible for funding acquisition. Data authentication is not applicable. All authors have read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019.PubMed/NCBI View Article : Google Scholar

2 

Bourcier K, Le Cense A, Tselikas L, Adam J, Mir L, Honore C and de Baere T: Basic knowledge in soft tissue sarcoma. Cardiovasc Intervent Radiol. 42:1255–1261. 2019.PubMed/NCBI View Article : Google Scholar

3 

Pisters PW, Leung DH, Woodruff J, Shi W and Brennan MF: Analysis of prognostic factors in 1,041 patients with localized soft tissue sarcomas of the extremities. J Clin Oncol. 14:1679–1689. 1996.PubMed/NCBI View Article : Google Scholar

4 

Callegaro D, Miceli R, Bonvalot S, Ferguson P, Strauss DC, Levy A, Griffin A, Hayes AJ, Stacchiotti S, Pechoux CL, et al: Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: A retrospective analysis. Lancet Oncol. 17:671–680. 2016.PubMed/NCBI View Article : Google Scholar

5 

De Sanctis R, Zelic R and Santoro A: Nomograms predicting local and distant recurrence and diease-specific mortality for R0/R1 soft tissue sarcomas of the extremities. Front Oncol. 12(941896)2022.PubMed/NCBI View Article : Google Scholar

6 

Gronchi A, Miah AB, Dei Tos AP, Abecassis N, Bajpai J, Bauer S, Biagini R, Bielack S, Blay JY, Bolle S, et al: ESMO guidelines committee, EURACAN and GENTURIS. Soft tissue and visceral sarcomas: ESMO-EURACAN-GENTURIS clinical practice guidelines for diagnosis, treatment, and follow-up. Ann Oncol. 32:1348–1365. 2021.PubMed/NCBI View Article : Google Scholar

7 

Tanaka K, Mizusawa J, Naka N, Kawai A, Katagiri H, Hiruma T, Matsumoto Y, Tsuchiya H, Nakayama R, Hatano H, et al: Ten-year follow-up results of perioperative chemotherapy with doxorubicin and ifosfamide for high-grade soft tissue sarcoma of the extremities: Japan clinical oncology group study of JCOG0304. BMC Cancer. 19(890)2019.PubMed/NCBI View Article : Google Scholar

8 

Nakamura T, Asanuma K, Takao M, Yamanaka T, Koike H, Chen-Yoshikawa TF, Tsukushi S, Kuroda H, Kozawa E, Sano M, et al: Clinical outcome in soft tissue sarcoma patients with lung metastasis who received metastasectomy and/or radiofrequency ablation: Tokai Musculoskeletal oncology consortium study. Cancer Manag Res. 13:8473–8480. 2021.PubMed/NCBI View Article : Google Scholar

9 

Kawamoto T, Hara H, Morishita M, Fukase N, Kawakami Y, Takemori T, Fujiwara S, Kitayama K, Yahiro S, Miyamoto T, et al: Prognostic influence of the treatment approach for pulmonary metastasis in patients with soft tissue sarcoma. Clin Exp Metastasis. 37:509–517. 2020.PubMed/NCBI View Article : Google Scholar

10 

Smrke A, Wang Y and Simmons C: Update on systemic therapy for advanced soft-tissue sarcoma. Curr Oncol. 27:25–33. 2020.PubMed/NCBI View Article : Google Scholar

11 

Balkwill F and Mantovani A: Inflammation and cancer: Back to Virchow? Lancet. 357:539–545. 2001.PubMed/NCBI View Article : Google Scholar

12 

Colotta JF, Allavena P, Sica A, Garlanda C and Mantovani A: Cancer-related inflammation, the seventh hallmark of cancer: Links to genetic instability. Carcinogenesis. 30:1073–1081. 2009.PubMed/NCBI View Article : Google Scholar

13 

Hart PC, Rajab IM, Alebraheem M and Potempa LA: C-reactive protein and cancer-diagnostic and therapeutic insights. Front Immunol. 11(595835)2020.PubMed/NCBI View Article : Google Scholar

14 

Coussens LM and Werb Z: Inflammation and cancer. Nature. 420:860–867. 2002.PubMed/NCBI View Article : Google Scholar

15 

Wu ES, Oduyebo T, Cobb LP, Cholakian D, Kong X, Fader AN, Levinson KL, Tanner EJ III, Stone RL, Piotrowski A, et al: Lymphopenia and its association with survival in patients with locally advanced cervical cancer. Gynecol Oncol. 140:76–82. 2016.PubMed/NCBI View Article : Google Scholar

16 

Matsuyama Y, Nakamura T, Yoshida K, Nakamura K, Hagi T, Asanuma K and Sudo A: Role the prognostic nutritional index in patients with soft tissue sarcoma. In Vivo. 35:2349–2355. 2021.PubMed/NCBI View Article : Google Scholar

17 

Kitamura H, Ohno Y, Toyoshima Y, Ohtake J, Homma S, Kawamura H, Takahashi N and Taketomi A: Interleukin-6/STAT3 signaling as a promising target to improve the efficacy of cancer immunotherapy. Cancer Sci. 108:1947–1952. 2017.PubMed/NCBI View Article : Google Scholar

18 

Castell JV, Gómez-Lechón MJ, David M, Fabra R, Trullenque R and Heinrich PC: Acute-phase response of human hepatocytes; regulation of acute-phase protein synthesis by interleukin-6. Hepatology. 12:1179–1186. 1990.PubMed/NCBI View Article : Google Scholar

19 

Nakamura K, Nakamura T, Iino T, Hagi T, Kita K, Asanuma K and Sudo A: Expression of interleukin-6 and the interleukin-6 receptor predicts the clinical outcome of patients with soft tissue sarcomas. Cancers (Basel). 12(585)2020.PubMed/NCBI View Article : Google Scholar

20 

Fu Q, Chang Y, An H, Fu H, Zhu Y, Xu L, Zhang W and Xu J: Prognostic value of interleukin-6 and interleukin-6 receptor in organ-confined clear-cell renal cell carcinoma: A 5-year conditional cancer-specific survival analysis. Br J Cancer. 113:1581–1589. 2015.PubMed/NCBI View Article : Google Scholar

21 

Hagi T, Nakamura T, Iino T, Matsubara T, Asanuma K, Matsumine A and Sudo A: The diagnostic and prognostic value of interleukin-6 in patients with soft tissue sarcomas. Sci Rep. 7(9640)2017.PubMed/NCBI View Article : Google Scholar

22 

Rutkowski P, Kaminska J, Kowalska M, Ruka W and Steffen J: Cytokine serum levels in soft tissue sarcoma patients: Correlations with clinic-pathological features and prognosis. Int J Cancer. 100:463–471. 2002.PubMed/NCBI View Article : Google Scholar

23 

Can C, Acikalin MF, Ozen A and Dundar E: Prognostic impact of intratumoral C-reactive protein expression in patients with clear cell renal cell carcinoma. Urol Int. 92:270–275. 2014.PubMed/NCBI View Article : Google Scholar

24 

Nazoe T, Korenaga D, Futatsugi M, Saeki H, Maehara Y and Sugimachi K: Immunohistochemical expression of C-reactive protein in squamous cell carcinoma of the esophagus-significance as a tumor maker. Cancer Lett. 192:89–95. 2003.PubMed/NCBI View Article : Google Scholar

25 

Bruno F, Arrigoni F, Mariani S, Splendiani A, Cesare ED, Masciocchi C and Barile A: Advanced magnetic resonance imaging (MRI) of soft tissue tumors: Techniques and applications. Radiol Med. 124:243–252. 2019.PubMed/NCBI View Article : Google Scholar

26 

Costa FM, Martins PH, Canella C and Lopes FPPL: Mutliparametric MR imaging of soft tissue tumors and psudotumors. Magn Reson Imaging Clin N Am. 26:543–558. 2018.PubMed/NCBI View Article : Google Scholar

27 

Beaman FD, Jelinek JS and Priebat DA: Current imaging and therapy of malignant soft tissue tumors and tumor-like lesions. Semin Musculoskelet Radiol. 17:168–176. 2013.PubMed/NCBI View Article : Google Scholar

28 

Nakamura T, Matsumine A, Iino T, Matsubara T, Asanuma K, Uchida A and Sudo A: Role of high- sensitivity C-reactive protein in the differentiation of benign and malignant soft tissue tumors. Anticancer Res. 34:933–936. 2014.PubMed/NCBI

29 

Ariizumi T, Kawashima H, Ogose A, Sasaki T, Hotta T, Hatano H, Morita T and Endo N: The diagnostic and prognostic value of hematological and chemical abnormalities in soft tissue sarcomas: A comparative study in patients with benign and malignant soft tissue tumors. Ann Clin Lab Sci. 48:11–17. 2018.PubMed/NCBI

30 

Fujibuchi T, Miyawaki J, Kidani T, Imai H and Miura H: Prediction of soft tissue sarcoma from clinical characteristics and laboratory data. Cancers (Basel). 12(679)2020.PubMed/NCBI View Article : Google Scholar

31 

Yano Y, Ohno T, Komura K, Fukuokaya W, Uchimoto T, Adachi T, Hirasawa Y, Hashimoto T, Yoshizawa A, Yamazaki S, et al: Serum C-reactive protein level predicts overall survival for clear cell and non clear cell renal cell carcinoma treated with lpilimumab plus nivolmab. Cancers (Basel). 14(5659)2022.PubMed/NCBI View Article : Google Scholar

32 

Patel SH, Derweesh IH, Saito K, Patil D, Meagher MF, Bindayi A, Eldefrawy A, Patel DN, Nasseri R, Yasuda Y, et al: Preoperative elevation of C-reactive protein is a predictor for adverse oncologic survival outcomes for renal cell carcinoma: Analysis from the international market consortium renal cancer (INMARC). Clin Genitourin Cancer. 19:e206–e215. 2021.PubMed/NCBI View Article : Google Scholar

33 

Ghuman S, Van Hemelrijck M, Garmo H, Holmberg L, Malmström H, Lambe M, Hammar N, Walldius G, Jungner I and Wulaningsih W: Serum inflammatory markers and colorectal cancer risk and survival. Br J Cancer. 116:1358–1365. 2017.PubMed/NCBI View Article : Google Scholar

34 

Okada S, Shimomura M, Tsunezuka H, Teramukai S, Ishihara S, Shimada J and Inoue M: Prognostic significance of preoperative C-reactive protein in resected non-small cell lung cancer. Semin Thorac Cardiovasc Surg. 32:1046–1055. 2020.PubMed/NCBI View Article : Google Scholar

35 

Lu J, Xu BB, Xue Z, Xie JW, Zheng CH, Huang CM and Li P: Prioperative CRP: A novel inflammation-based classification in gastric cancer for recurrence and chemotherapy benefit. Cancer Med. 10:34–44. 2021.PubMed/NCBI View Article : Google Scholar

36 

Liao DW, Hu X, Wang Y, Yang ZQ and Li X: C-reactive protein is a predictor of prognosis of prostate cancer: A systematic review and meta-analysis. Ann Clin Lab Sci. 50:161–171. 2020.PubMed/NCBI

37 

Ishibashi Y, Tsujimoto H, Hiraki S, Kumano I, Yaguchi Y, Horiguchi H, Nomura S, Ito N, Shinto E, Aosasa S, et al: Prognostic value of preoperative systemic inflammatory measures in patients with esophageal cancer. Ann Surg Oncol. 25:3288–3299. 2018.PubMed/NCBI View Article : Google Scholar

38 

Nakamura T, Matsumine A, Matsubara T, Asanuma K, Uchida A and Sudo A: Clinical significance of pretreatment C-reactive protein level in soft tissue sarcoma. Cancer. 118:1055–1061. 2012.PubMed/NCBI View Article : Google Scholar

39 

Guillou L, Coindre JM, Bonichon F, Nguyen BB, Terrier P, Collin F, Vilain MO, Mandard AM, Le Doussal V, Leroux A, et al: Comparative study of the national cancer institute and french federation of cancer centers sarcoma group grading systems in a population of 410 adult patients with soft tissue sarcoma. J Clin Oncol. 15:350–362. 1997.PubMed/NCBI View Article : Google Scholar

40 

Nakamura T, Grimer R, Gaston C, Francis M, Charman J, Graunt P, Uchida A, Sudo A and Jeys L: The value of C-reactive protein and comorbidity in predicting survival of patients with high grade soft tissue sarcoma. Eur J Cancer. 49:377–385. 2013.PubMed/NCBI View Article : Google Scholar

41 

Szkandera J, Gerger A, Liegl-Atzwanger B, Absenger G, Stotz M, Samonigg H, Maurer-Ertl W, Stojakovic T, Ploner F, Leithner A and Pichler M: Validation of the prognostic relevance of C-reactive protein levels in soft tissue sarcoma patients. Br J Cancer. 109:2316–2322. 2013.PubMed/NCBI View Article : Google Scholar

42 

Choi ES, Kim HS and Han I: Elevated preoperative systemic inflammatory markers predict poor outcome in localized soft tissue sarcoma. Ann Surg Oncol. 21:778–785. 2014.PubMed/NCBI View Article : Google Scholar

43 

Panotopoulos J, Posch F, Alici B, Funovics P, Stihsen C, Amann G, Brodowicz T, Windhager R and Ay C: Hemoglobin, alkalic phoshatase, and C-reactive protein predict the outcome in patients with liposarcoma. J Orthop Res. 33:765–770. 2015.PubMed/NCBI View Article : Google Scholar

44 

Sambri A, Zucchini R, Giannini C, Cevolani L, Fiore M, Spinnato P, Bianchi G, Donati DM and De Paolis M: Syetemic inflammation is associated with oncological outcome in patients with high-grade myxofibrosarcoma of the extremities: A retrospective analysis. Oncol Res Treat. 43:531–538. 2020.PubMed/NCBI View Article : Google Scholar

45 

Yanagisawa M, Gingrich AA, Judge S, Li CS, Wang N, Thorpe SW, Kirane AR, Bold RJ, Monjazeb AM and Canter RJ: Serum C-reactive protein and neutrophil/lymphocyte ratio after neoadjuvant radiotherapy in soft tissue sarcoma. Anticancer Res. 38:1491–1497. 2018.PubMed/NCBI View Article : Google Scholar

46 

Sato Y, Nakano K, Wang X, Fukuda N, Urasaki T, Ohmoto A, Hayashi N, Yunokawa M, Ono M, Tomomatsu J, et al: Pre-treatment neutrophil-to-lymphocyte ratio (NLR) as a predictive marker of pazopanib treatment for soft-tissue sarcoma. Cancers (Basel). 13(6266)2021.PubMed/NCBI View Article : Google Scholar

47 

Nakamura T, Katagiri H, Shido Y, Hamada S, Yamada K, Nagano A, Yamada S, Tsukushi S, Ishimura D, Matsumine A, et al: Analysis of factors for predicting survival in soft-tissue sarcoma with metastatic disease at initial presentation. Anticancer Res. 37:3137–3141. 2017.PubMed/NCBI View Article : Google Scholar

48 

Galon J, Angell HK, Bedognetti D and Marincola FM: The continuum of cancer immunosurveillance: Prognostic, predictive, and mechanistic signatures. Immunity. 39:11–26. 2013.PubMed/NCBI View Article : Google Scholar

49 

Demaria S and Formenti SC: Radiation as an immunological adjuvant: Current evidence on dose and fractionation. Front Oncol. 2(153)2012.PubMed/NCBI View Article : Google Scholar

50 

McMillan DC, Crozier JE, Canna K, Angerson WJ and McArdle CS: Evaluation of an inflammation-based prognostic score (GPS) in patients undergoing resection for colon and rectal cancer. Int J Colorectal Dis. 22:881–886. 2007.PubMed/NCBI View Article : Google Scholar

51 

Wu TH, Tsai YT, Chen KY, Yap WK and Luan CW: Utility of high-sensitivity modified Glasgow prognostic score in cancer prognosis: A systematic review and meta-analysis. Int J Mol Sci. 24(1318)2023.PubMed/NCBI View Article : Google Scholar

52 

Kimura S, D’ Andrea D, Soria F, Foerster B, Abufaraj M, Vartolomei MD, Iwata T, Karakiewicz PI, Rink M, Gust KM, et al: Prognostic value of modified Glasgow prognostic score in non-muscle-invasive bladder cancer. Urol Oncol. 37:179.e19–179.e28. 2019.PubMed/NCBI View Article : Google Scholar

53 

Levitt DG and Levitt MD: Human serum albumin homeostasis: a new look at the roles of synthesis, catabolism, renal and gastrointestinal excretion, and the clinical value of serum albumin measurements. Int J Gen Med. 9:229–255. 2016.PubMed/NCBI View Article : Google Scholar

54 

Gatta A, Verardo A and Bolognesi M: Hypoalbuminemia. Intern Emerg Med. 7 (Suppl 3):S193–S199. 2012.PubMed/NCBI View Article : Google Scholar

55 

Spence S, Doonan J, Farhan-Alanie OM, Chan CD, Tong D, Cho HS, Sahu MA, Traub F and Gupta S: The MPGS Study Group. Does the modified Glasgow prognostic score aid in the management of patients undergoing surgery for a soft-tissue sarcoma?: An international multicentre study. Bone Joint J. 104-B:168–176. 2022.PubMed/NCBI View Article : Google Scholar

56 

Nakamura T, Matsumine A, Asanuma K, Matsubara T and Sudo A: The value of the high-sensitivity modified Glasgow prognostic score in predicting the survival of patients with a soft-tissue sarcoma. Bone Joint J. 97-B:847–852. 2015.PubMed/NCBI View Article : Google Scholar

57 

Tsuda Y, Ogura K, Kobayashi E, Hiruma T, Iwata S, Asano N, Kawai A, Chuman H, Ishii T, Morioka H, et al: Impact of geriatric factors on surgical and prognostic outcomes in elderly patients with soft-tissue sarcoma. Jpn J Clin Oncol. 47:422–429. 2017.PubMed/NCBI View Article : Google Scholar

58 

Jiang SS, Jiang L, Weng DS, Li YF, Pan QZ, Zhao JJ, Tang Y, Zhou ZW and Xia JC: Immunization-based scores as independent prognostic predictors in soft tissue sarcoma patients. J Cancer. 8:606–616. 2017.PubMed/NCBI View Article : Google Scholar

59 

Aggerholm-Pedersen N, Maretty-Kongstad K, Keller J and Safwat A: Serum biomarkers as prognostic factors for metastatic sarcoma. Clin Oncol (R Coll Radiol). 31:242–249. 2019.PubMed/NCBI View Article : Google Scholar

60 

Hou T, Guo T, Nie R, Hong D, Zhou Z, Zhang X and Liang Y: The prognostic role of the preoperative systemic immune-inflammation index and high-sensitivity modified Glasgow prognostic score in patients after radical operation for soft tissue sarcoma. Eur J Surg Oncol. 46:1496–1502. 2020.PubMed/NCBI View Article : Google Scholar

61 

Mahyudin F, Edward M, Basuki MH, Basrewan Y, Hernugrahanto KD and Wahyudiputra AG: Analysis of prognostic factors in soft tissue sarcoma: Cancer registry from a single tertiary hospital in Indonesia. Ann Med Surg (Lond). 57:257–263. 2020.PubMed/NCBI View Article : Google Scholar

62 

Nakamura T, Asanuma K, Hagi T and Sudo A: Modified Glasgow prognostic score is better for predicting oncological outcome in patients with soft tissue sarcoma, compared to High-sensitivity modified Glasgow prognostic score. J Inflamm Res. 15:3891–3899. 2022.PubMed/NCBI View Article : Google Scholar

63 

Nakamura T, Hagi T, Asanuma K and Sudo A: Is lymphocyte C-reactive protein ratio useful for predicting survival in patients with non-metastatic soft tissue sarcoma? Cancers (Basel). 14(5214)2022.PubMed/NCBI View Article : Google Scholar

64 

Matsui Y, Matsuda A, Maejima A, Shinoda Y, Nakamura E, Komiyama M and Fujimoto H: The clinical significance of perioperative inflammatory index as a prognostic factor for patients with retroperitoneal soft tissue sarcoma. Int J Clin Oncol. 27:1093–1100. 2022.PubMed/NCBI View Article : Google Scholar

65 

Fontana R, Bregni M, Cipponi A, Raccosta L, Rainelli C, Maggioni D, Lunghi F, Ciceri FL, Mukenge S, Doglioni C, et al: Peripheral blood lymphocytes genetically modified to express the self/tumor antigen mage-a3 induce antitumor immune responses in cancer patients. Blood. 113:1651–1660. 2009.PubMed/NCBI View Article : Google Scholar

66 

Nishi M, Shimada M, Tokunaga T, Higashijima J, Yoshikawa K, Kashihara H, Takasu C, Ishikawa D, Wada Y, Eto S and Yoshimoto T: Lymphocyte to C-reactive protein ratio predicts long-term outcomes for patients with lower rectal cancer. World J Surg Oncol. 19(201)2021.PubMed/NCBI View Article : Google Scholar

67 

Yugawa K, Maeda T, Kinjo N, Kawata K, Ikeda S, Edahiro K, Edagawa M, Omine T, Kometani T, Yamaguchi S, et al: Prognostic impact of lymphocyte-C-reactive protein ratio in patients who underwent surgical resection for hepatocellular carcinoma. J Gastrointest Surg. 26:104–112. 2022.PubMed/NCBI View Article : Google Scholar

68 

Okugawa Y, Toiyama Y, Yamamoto A, Shigemori T, Ichikawa T, Yin C, Suzuki A, Fujikawa H, Yasuda H, Hiro J, et al: Lymphocyte to C-reactive protein ratio and score are clinically feasible nutrition-inflammation markers of outcome in patients with gastric cancer. Clin Nutr. 39:1209–1217. 2020.PubMed/NCBI View Article : Google Scholar

69 

Nakamura T, Matsumine A, Matsubara T, Asanuma K, Uchida A and Sudo A: The combined use of the neutrophil-lymphocyte ratio and C-reactive protein level as prognostic predictors in adult patients with soft tissue sarcoma. J Surg Oncol. 108:481–485. 2013.PubMed/NCBI View Article : Google Scholar

70 

Powell DR and Huttenlocher A: Neutrophils in the tumor microenvironment. Trends Immunol. 37:41–52. 2016.PubMed/NCBI View Article : Google Scholar

71 

Idowu OK, Ding Q, Taktak AFG, Chandrasekar CR and Yin Q: Clinical implication of pretreatment nuetrophil to lymphocyte ratio in soft tissue sarcoma. Biomarkers. 17:539–544. 2012.PubMed/NCBI View Article : Google Scholar

72 

Cupp MA, Cariolou M, Tzoulaki I, Aune D, Evangelou E and Berlanga-Taylor AJ: nuetrophil to lymphocyte ratio and cancer prognosis: An umbrella review of systematic reviews and meta-analyses of observational studies. BMC Med. 18(360)2020.PubMed/NCBI View Article : Google Scholar

73 

Hagi T, Nakamura T, Kita K, Iino T, Asanuma K and Sudo A: Anti-tumour effect of tocilizumab for osteosarcoma cell lines. Bone Joint Res. 9:821–826. 2020.PubMed/NCBI View Article : Google Scholar

Related Articles

Journal Cover

January-2024
Volume 20 Issue 1

Print ISSN: 2049-9450
Online ISSN:2049-9469

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Nakamura T, Asanuma K, Hagi T and Sudo A: C‑reactive protein and related predictors in soft tissue sarcoma (Review). Mol Clin Oncol 20: 6, 2024
APA
Nakamura, T., Asanuma, K., Hagi, T., & Sudo, A. (2024). C‑reactive protein and related predictors in soft tissue sarcoma (Review). Molecular and Clinical Oncology, 20, 6. https://doi.org/10.3892/mco.2023.2704
MLA
Nakamura, T., Asanuma, K., Hagi, T., Sudo, A."C‑reactive protein and related predictors in soft tissue sarcoma (Review)". Molecular and Clinical Oncology 20.1 (2024): 6.
Chicago
Nakamura, T., Asanuma, K., Hagi, T., Sudo, A."C‑reactive protein and related predictors in soft tissue sarcoma (Review)". Molecular and Clinical Oncology 20, no. 1 (2024): 6. https://doi.org/10.3892/mco.2023.2704