Skip to main content

The prognostic value of the preoperative c-reactive protein/albumin ratio in ovarian cancer



Inflammation plays an important role in the pathogenesis of ovarian cancer. This study sought to investigate the association between the preoperative c-reactive protein/albumin ratio (CRP/Alb) and oncological outcomes in ovarian cancer patients.


Two hundred patients with histologically verified ovarian cancer between June 2006 and July 2012 were retrospectively reviewed. Overall survival was evaluated by the Kaplan–Meier method and log-rank test. The significance of risk factors for overall survival was evaluated with the Cox proportional hazards model. Additionally, area under the receiver operating characteristic curve (AUC) was used to compare the predictive ability of CRP/Alb, Glasgow Prognostic Score (GPS), modified GPS (mGPS), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), prognostic index (PI) and prognostic nutritional index (PNI).


The optimal cutoff value of CRP/Alb was 0.68. Increased CRP/Alb (≥0.68) was associated with advanced stage, residual tumor, ascites, elevated serum carbohydrate antigen(CA)-125 level, GPS, and mGPS (all p < 0.05). Patients with high CRP/Alb had poor overall survival compared to those with low CRP/Alb (p < 0.001). Multivariable analysis showed that CRP/Alb (Hazard Ratio (HR) 1.330, 95% confidence interval (CI) 1.131–1.564, p = 0.001), tumor stage (HR 1.577, 95% CI 1.189–2.091, p = 0.002), residual tumor (HR 2.337, 95% CI 1.518–3.597, p < 0.001) and age (HR 1.017, 95% CI 1.000–1.035, p = 0.046) were independent prognostic factors for overall survival. Additionally, the CRP/Alb showed greater AUC values at 1 year (0.692), 3 years (0.659), and 5 years (0.682) than GPS, mGPS and PNI.


The CRP/Alb is a novel independent marker of poor prognosis among ovarian cancer patients and shows superior prognostic ability compared to the established inflammation-based prognostic indices.

Peer Review reports


Ovarian cancer has the highest death rate among all gynecological malignancies worldwide [1]. Primary cytoreductive surgery alone or in combination with adjuvant chemotherapy is now widely advocated as the standard treatment for ovarian cancer patients [2]. Nevertheless, despite the improvement in surgical procedures and the development of adjuvant therapy such as platinum-based chemotherapy, neoadjuvant chemotherapy, intraperitoneal hyperthermic therapy and molecular targeted therapies, the long-term survival is still poor [3, 4]. Ovarian cancer is a heterogeneous disease, and the prognosis is variable. Some patients may experience better clinical outcomes than others [5]. Therefore, the identification of factors that could help to predict the prognosis and individualize the treatment according to the stratification of risks may improve the survival of ovarian cancer patients.

In fact, ovarian cancer has been found to be closely related to inflammation [6, 7]. Firstly, ovulation itself is a natural inflammatory process involving ovarian cortex cyclical rupture and healing, which is regarded as an underlying factor of ovarian cancer [8, 9]. Secondly, patients who suffer endometriosis or pelvic inflammatory disease have an increase in the subsequent risk of ovarian cancer [10, 11]. In contrast, oral contraceptives inhibiting ovulation reduce the risk of ovarian cancer [11]. Additionally, tubal ligation or hysterectomy has been proven to offer protection against ovarian cancer by preventing the retrograde spread of proinflammatory factors from the lower genital tract to the ovaries [1012]. Furthermore, anti-inflammatory therapy can reduce the risk of ovarian cancer and extend the survival of ovarian cancer patients [13, 14]. Given the close relationship between inflammation and ovarian cancer, several inflammation-based prognostic indices have been constructed to predict the clinical outcome. To date, the Glasgow Prognostic Score (GPS) [15], neutrophil lymphocyte ratio (NLR) [16] and platelet lymphocyte ratio (PLR) [17] were reported to display prognostic value in ovarian cancer patients.

The C-reactive protein/albumin ratio (CRP/Alb), consisting of CRP and albumin, was initially used to assess the outcome of patients with acute medical admissions and sepsis [18, 19]. Recently, the prognostic ability of CRP/Alb has been reported in patients with hepatocellular carcinoma [20], gastric cancer [21] and esophageal squamous cell carcinoma [22, 23]. Elevated preoperative CRP/Alb has been associated with the poor survival of patients with the aforementioned cancers. However, up to now, no study has been conducted to clarify the clinical significance and prognostic value of this marker in ovarian cancer.

Therefore, in this study, we retrospectively investigated the impact of preoperative CRP/Alb on the overall survival (OS) in ovarian cancer and compared the predictive value of CRP/Alb, GPS, mGPS, NLR, PLR, prognostic index (PI) and prognostic nutritional index (PNI).


Ethics statement

Written informed consents for their information to be stored and used in the hospital database were obtained prior to data collection, and the study was approved by the ethics committee of the Sun Yat-sen University Cancer Center. The study was conducted in accordance with the Declaration of Helsinki to protect personal data.

Study population

This retrospective analysis was conducted on patients pathologically diagnosed with ovarian cancer at Sun Yat-sen University Cancer Center in Guangzhou, China, between June 2006 and July 2012. All the patients were included in this study based on the following criteria: (a) histologically confirmed ovarian cancer; (b) available serum CRP and albumin levels at diagnosis; (c) adequate clinico-pathological and follow-up data; (d) no clinical evidence of infection or other inflammatory conditions; and (e) no second malignancies or multiple primary malignancies. Finally, 200 patients diagnosed with ovarian cancer were enrolled in our study. The patients were treated with hysterectomy, bilateral salpingo-oophorectomy, pelvic and/or paraaortic lymphadenectomy, appendectomy, and omentectomy. Patients with stage Ic to IV disease received platinum-based chemotherapy following surgery. Patient charts were reviewed to obtain age, preoperative laboratory measurements, postoperative tumor characteristics and time of death or time of last follow-up from the hospital database at the Sun Yat-sen University Cancer Center and pathological records from the Institute of Pathology at the same institution. OS time was defined as the interval between the date of operation and the date of death or the last follow-up. Patient follow-up was maintained until death or the cutoff date of December 2014. The clinico-pathological and full blood count data before initial treatment were obtained.

Statistical analysis

Pearson’s χ2 test was used to examine the correlations of CRP/Alb value with clinico- pathological parameters. The ROC curve was calculated, and the Youden index (maximum (sensitivity + specificity-1)) [24] was used to determine the optimal cutoff value for CRP/Alb, PNI, NLR, PLR and CA-125. All patients were divided into two different groups (high or low CRP/Alb ratio group) according to the optimal cutoff value of CRP/Alb. The Kaplan–Meier method was used to plot the survival curves, and the log-rank test was used to compare the differences between the subgroups. A univariate and multivariate analysis was performed for the prognostic factors using the Cox proportional hazard model, with significant variables (p < 0.05) in univariate mode being further analyzed in the multivariate Cox proportional hazards mode. Area under receiver operating characteristics curve (AUC) analyses were performed using MedCalc statistical software version 15.2.1 (MedCalc Software bvba, Ostend, Belgium). Other analyses were performed using SPSS version 13.0 (Chicago, Illinois, USA). Statistical significance was set at p < 0.05 (two-tailed).



A total of 200 subjects were studied, with a median age of 53 years (range 18–83 years). A total of 110 (55%) patients had an elevated CRP concentration (10 mg/L), and 22 (11%) patients had hypoalbuminemia (albumin <35 g/L) prior to surgery. Of the 22 patients with hypoalbuminemia, 21 (95.45%) had an elevated CRP concentration. According to clinical criteria, almost all the patients (192) received platinum-based chemotherapy.

ROC analysis

Using the OS rate as an endpoint, when the CRP/Alb, PNI, NLR and PLR were 0.68, 48.80, 2.57 and 165.24, respectively, the Youden index was maximal. Therefore, the optimal cutoff value of the CRP/Alb, PNI, NLR and PLR were set at 0.68, 48, 2.5 and 165, respectively. However, no reasonable cutoff value of CA-125 could be defined to predict survival outcome due to its low specificity (see Additional file 1). The CRP/Alb, GPS, mGPS, NLR, PLR, PI and PNI were constructed as described in Table 1.

Table 1 Inflammation-based prognostic scores

Relationship between CRP/alb and clinico-pathological factors

The CRP/Alb ranged from 0.005 to 7.503 with a median of 0.334. A total of 69 patients (34.5%) were categorized as high CRP/Alb (≥0.68), and 131 patients (65.5%) were categorized as low CRP/Alb (<0.68) according to the optimal cutoff value. The elevated CRP/Alb was significantly associated with a more advanced tumor stage (p = 0.001), fewer patients with ideal cytoreductive surgery (p = 0.049), the presence of ascites (p = 0.009) and higher serum CA-125 level (p = 0.002). In addition, CRP/Alb was associated with other inflammatory biomarkers, including GPS, mGPS and PLR (all p < 0.001), but not with PNI, NLR, and PI (all p > 0.05). The relationships between the CRP/Alb and clinico-pathological characteristics are summarized in Table 2.

Table 2 The correlation between clinicopathological factors and CRP/Alb ratio in ovarian cancer patients (n = 200)

Survival analysis

At the time of analysis, 103 (51.5%) patients had died, and the overall median survival was 37.47 months (range 0.85–104.27 months). Patients with a CRP/Alb < 0.68 had a median survival of 43.12 (range 2.08–104.27) months compared with 24.32 (range 0.85–68.79) months in patients with a CRP/Alb ≥ 0.68 (HR1.287, 95% CI 1.139–1.454, p < 0.001). The 1-year, 3-year, and 5-year OS rates were 83.5%, 53.5%, and 15.5%, respectively. Fig. 1 shows the Kaplan–Meier curve for OS and reveals that a high CRP/Alb is a consistent factor for poor prognosis in ovarian cancer patients (p < 0.001, log-rank test).

Fig. 1
figure 1

Kaplan–Meier curves showing the difference in OS for patients with ovarian cancer categorized according to the optimal cutoff of CRP/Alb

Impact of inflammatory scores as predictors of OS

By univariate OS analysis, age (p = 0.004), CRP/Alb (p < 0.001), tumor stage (p < 0.001), postoperative residual tumor mass (p < 0.001), histological subtype (p = 0.015), ascites (p = 0.011), CRP (p = 0.027), hypoalbuminemia (p < 0.001), GPS (p = 0.025), mGPS (p = 0.018), PLR (p = 0.006), PNI (p = 0.003) and PI (p = 0.028), but not histological grade, CA-125 level or NLR, were associated with postoperative OS. By multivariate analysis adjusted for the effects of all significant variables associated with survival in univariate mode, age (HR1.017 95% CI 1.000–1.035, p = 0.046), tumor stage (HR 1.577, 95% CI 1.189–2.091, p = 0.002), residual tumor (HR 2.337, 95% CI 1.518–3.597 p < 0.001) and CRP/Alb (HR 1.330, 95% CI 1.131–1.564, p = 0.001) remained significant independent predictors of OS (see Table 3 ).

Table 3 Univariate and multivariate analysis of potential prognostic factors for overall survival

Comparison of the predictive ability

AUC values were used to compare the predictive ability between the CRP/Alb ratio and the other inflammation-based prognostic scores, such as GPS, mGPS, PI, PNI, PLR and NLR (See Table 4). The CRP/Alb showed greater AUC at one year (0.692), three years (0.659), and five years (0.682) compared with the GPS (1 year: p = 0.0003, 3 years: p = 0.0002 and 5 years: p = 0.0190), mGPS (1 year: p = 0.0004, 3 years: p < 0.0001 and 5 years: p = 0.0176) and PI (1 year: p = 0.0087, 3 years: p = 0.0001 and 5 years: p = 0.0101). Similar results were also found in NLR, PLR and PNI, but the difference was not significant (p > 0.05), except the comparison between CRP/Alb and NLR at 3 years (p = 0.0166). Furthermore, we analyzed the prognostic value of CRP/Alb combined with tumor stage and residual tumor (see Fig. 2). The combination of three parameters displayed greater AUC than any one of them, although the difference was not significant (p > 0.05) except for the comparison to the residual tumor (p = 0.0271).

Table 4 Comparison of the diagnostic performance of several inflammation-based prognostic indices in predicting mortality
Fig. 2
figure 2

The receiver operating curves analysis of CRP/Alb, tumor stage, residual tumor and the combination of them to prediction of overall survival


The present study demonstrated that increased CRP/Alb predicted the poor prognosis of OS in ovarian cancer patients. Moreover, compared to the established inflammation-based prognostic indices GPS, mGPS and PNI, CRP/Alb displayed superior prognostic ability. These results are consistent with previous studies identifying CRP/Alb as predictors of outcome in hepatocellular carcinoma [20], gastric cancer [21] and esophageal squamous cell carcinoma [22, 23].

C-reactive protein (CRP) is an important acute phase response protein produced mainly by hepatocytes, whose levels rise in response to inflammation [25]. Mc Sorley et al. reported that high circulating CRP levels may subsequently promote ovarian cancer [26]. This conclusion was supported by a meta-analysis [27]. Hefler et al. found that elevated CRP is associated with chemical resistance and poor survival in patients with ovarian cancer [28]. The underlying mechanism is that CRP can accelerate angiogenesis based on increased circulating levels of vascular growth factors and circulating interleukin in cancer patients [29, 30].

Albumin is also produced by the liver, which helps to maintain intravascular oncotic pressure, facilitate the transport of substances and scavenge free radicals. It is now considered an indicator of malnutrition. Hypoalbuminemia is related to a sustained systemic inflammatory response, either from the tumor itself or as a host response [31]. Several studies have suggested that the progression of hypoalbuminemia is secondary to the serum elevation of CRP, as many cancer patients with hypoalbuminemia already have increased serum CRP levels [32, 33]. Malnutrition, in turn, is related to poor prognosis in patients with cancer [34]. Several previous studies reported that pre-operative low serum albumin levels are an independent predictor of poor survival in ovarian cancer [35, 36]. Improvement in nutritional status is associated with better survival in ovarian cancer [14] and other tumors [37]. One of the reasons is that the presence of a systemic inflammatory response and the concomitant nutritional decline reduces patient tolerance to treatment toxicities and patient compliance with active treatment [38].

CRP/Alb, which is obtained from the combination of CRP and albumin, may reflect both the inflammatory and nutritional state in cancer patients. Therefore, the presence of a chronic systemic inflammatory response and progressive nutritional decline is reflected by the elevated CRP/Alb, ultimately resulting in reduced survival.

Previous studies have established some possible prognostic factors in ovarian cancer. In particular, the adverse effect of postoperative residual tumor mass, tumor grade, peritoneal dissemination, and histological subtype on patients’ OS has been found in previously published studies [39]. By univariate analysis, we have shown that tumor stage, postoperative residual tumor, histological subtype, ascites, CRP, hypoalbuminemia and age, as well as CRP/Alb, GPS, mGPS, PLR, PNI and PI, are predictors of OS in ovarian cancer. However, by using a Cox regression model of multivariate analysis, we found that only CRP/Alb remained as an independent prognostic marker for poor survival in patients with ovarian cancer along with residual disease, tumor stage and age, suggesting that CRP/Alb has a substantial impact on patient outcome. Surprisingly, albumin is no longer an independent predictor of OS, and age is a marginally significant predictor of OS (p = 0.046), conflicting with a recent study [36]. The reason for this difference is that our study included CRP/Alb. In fact, when CRP/Alb was excluded, albumin became an independent risk factor for OS (data not shown), indicating that CRP/Alb is a more powerful predictor than preoperative albumin. We noted that CRP/Alb correlated significantly with advanced tumor stage, residual tumor, increased CA-125 levels and the presence of ascites, suggesting that increased CRP/Alb may correlate with a more aggressive disease phenotype.

On established prognostic factors, postoperative residual tumor mass and ovarian tumor stage have been shown to be the most reliable predictors of outcome in ovarian cancer [40]. Similar to other studies, while CRP/Alb was a significant predictor of OS in patients with ovarian cancer, residual tumor mass and tumor stage remained significantly more powerful predictors of survival, as the Hazard Ratio for residual tumor and tumor stage were 2.337 and 1.577, respectively, compared with the HR of 1.330 for CRP/Alb by multivariate analysis. Further, we analyzed the prognostic value of CRP/Alb combined with tumor stage and residual tumor mass. The combined effect was greater than the individual effect of either variable alone, indicating that CRP/Alb may be the complementary factor for tumor stage and residual tumor mass in predicting the survival in patients with ovarian cancer.

The prognostic significance of preoperative CA-125 levels in ovarian cancer remains controversial at present. A few publications have described an association between CA-125 levels before surgery and survival. Paramasivam et al. reported patients with early-stage ovarian cancer and a preoperative serum CA-125 more than 30 U/mL were significantly associated with impaired survival [41]. Similar results were found by Kumar et al. [42]. However, some studies failed to show a correlation between preoperative CA-125 and prognosis. Mury et al. concluded that the specificity of CA-125 to predict surgical outcome is low, and the prognostic value is questionable [43]. Chi et al. reported that preoperative CA-125 did not predict the primary cytoreductive outcome of patients with advanced ovarian cancer [44]. In the present study, we also could not define a reasonable cutoff value of CA-125 to predict survival outcome due to its low specificity. In addition, although CA-125 was correlated to overall survival in univariate analysis, it was no longer an independent predictor in multivariable analysis. Therefore, we inferred that the main value of CA-125 may be useful in monitoring disease recurrence instead of prognosis.

In addition, it is important to examine whether a new prognostic system is at least equivalent or superior to other current validated prognostic scoring systems. We, therefore, compared the prognostic ability of CRP/Alb with other established inflammation-based prognostic scores, such as GPS, mGPS NLR, PI, PLR and PNI. In the context of ovarian cancer, AUC analysis has shown that CRP/Alb was superior to other inflammation-based prognostic scores in terms of predictive accuracy, which is consistent with several previous studies in hepatocellular carcinoma [20], gastric cancer [21] and esophageal squamous cell carcinoma [22, 23].

To the best of our knowledge, this is the first study to investigate whether CRP/Alb is useful for predicting postoperative outcome in ovarian cancer patients, and we analyzed all seven of these parameters for the first time. Our results suggest that preoperative serum CRP/Alb might serve as a potentially clinically valuable marker in patients with ovarian cancer. Firstly, CRP/Alb has the advantage of being simple to measure, routinely available and well standardized. Secondly, increased CRP/Alb might correlate with a more aggressive disease phenotype, possibly using it to screen a subset of patients with bad prognosis requiring intense therapy. Thirdly, CRP/Alb displays superior prognostic ability compared to other inflammation-based scoring systems. Finally, CRP/Alb may be a complementary factor for tumor stage and residual tumor mass in predicting the survival in patients with ovarian cancer.

Although the present study shows the strong independent prognostic value of the CRP/Alb in ovarian cancer patients, the retrospective nature and the relatively small sample size from a single center should be acknowledged as potential limitations. However, the strict inclusion and exclusion criteria and the level of statistical significance achieved for the prognostic traits tested in our series leave little doubt about the reliability and reproducibility of our findings.


Preoperative CRP/Alb derived from routine blood tests is an independent prognostic marker in patients with ovarian cancer. Moreover, compared to other inflammation-based prognostic scores, it shows superior prognostic ability. Therefore, clinically, CRP/Alb may be used as a complementary factor to stratify ovarian cancer patients into different prognostic groups for tailored treatment.





Area under receiver operating characteristics curve


Carbohydrate antigen-125


Confidence interval


C-reactive protein


C-reactive protein/albumin ratio


International federation of gynecologists and obstetricians




Hazard ratio


The modified glasgow prognostic score


Neutrophil lymphocyte ratio


Overall survival


Prognostic index


Platelet lymphocyte ratio


Prognostic nutritional index


  1. Nossov V, Amneus M, Su F, Lang J, Janco JM, Reddy ST, et al. The early detection of ovarian cancer: from traditional methods to proteomics. Can we really do better than serum CA-125? Am J Obstet Gynecol. 2008;199(3):215–23.

    CAS  Article  PubMed  Google Scholar 

  2. Morgan Jr RJ, Armstrong DK, Alvarez RD, Bakkum-Gamez JN, Behbakht K, Chen LM, et al. Ovarian cancer, version 1.2016, NCCN clinical practice guidelines in oncology. J Natl Compr Cancer Netw. 2016;14(9):1134–63.

    Google Scholar 

  3. Marchetti C, Pisano C, Facchini G, Bruni GS, Magazzino FP, Losito S, et al. First-line treatment of advanced ovarian cancer: current research and perspectives. Expert Rev Anticancer Ther. 2010;10(1):47–60.

    Article  PubMed  Google Scholar 

  4. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30.

    Article  PubMed  Google Scholar 

  5. Raspollini MR, Taddei GL. Tumor markers in ovarian carcinoma. Int J Gynaecol Obstet. 2007;97(3):175–81.

    CAS  Article  PubMed  Google Scholar 

  6. Shan W, Liu J. Inflammation. A hidden path to breaking the spell of ovarian cancer. Cell Cycle. 2009;8(19):3107–11.

    CAS  Article  PubMed  Google Scholar 

  7. Balkwill F, Mantovani A. Inflammation and cancer: back to Virchow? Lancet. 2001;357(9255):539–45.

    CAS  Article  PubMed  Google Scholar 

  8. Espey LL. Current status of the hypothesis that mammalian ovulation is comparable to an inflammatory reaction. Biol Reprod. 1994;50(2):233–8.

    CAS  Article  PubMed  Google Scholar 

  9. Fathalla MF. Incessant ovulation--a factor in ovarian neoplasia? Lancet. 1971;2(7716):163.

    CAS  Article  PubMed  Google Scholar 

  10. Ness RB, Grisso JA, Cottreau C, Klapper J, Vergona R, Wheeler JE, et al. Factors related to inflammation of the ovarian epithelium and risk of ovarian cancer. Epidemiology. 2000;11(2):111–7.

    CAS  Article  PubMed  Google Scholar 

  11. Modugno F, Ness RB, Allen GO, Schildkraut JM, Davis FG, Goodman MT. Oral contraceptive use, reproductive history, and risk of epithelial ovarian cancer in women with and without endometriosis. Am J Obstet Gynecol. 2004;191(3):733–40.

    Article  PubMed  Google Scholar 

  12. Green A, Purdie D, Bain C, Siskind V, Russell P, Quinn M, et al. Tubal sterilisation, hysterectomy and decreased risk of ovarian cancer. Survey of Women's health study group. Int J Cancer. 1997;71(6):948–51.

    CAS  Article  PubMed  Google Scholar 

  13. Wernli KJ, Newcomb PA, Hampton JM, Trentham-Dietz A, Egan KM. Inverse association of NSAID use and ovarian cancer in relation to oral contraceptive use and parity. Br J Cancer. 2008;98(11):1781–3.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. Gupta D, Lis CG, Vashi PG, Lammersfeld CA. Impact of improved nutritional status on survival in ovarian cancer. Support Care Cancer. 2010;18(3):373–81.

    Article  PubMed  Google Scholar 

  15. Omichi C, Nakamura K, Haraga J, Masuyama H, Hiramatsu Y. Glasgow prognostic score is an independent marker for poor prognosis with all cases of epithelial ovarian cancer. Cancer Med. 2016;5(6):1074–80.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Feng Z, Wen H, Bi R, Ju X, Chen X, Yang W, et al. Preoperative Neutrophil-to- lymphocyte ratio as a predictive and prognostic factor for high-grade serous ovarian cancer. PLoS One. 2016;11(5):e0156101.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Raungkaewmanee S, Tangjitgamol S, Manusirivithaya S, Srijaipracharoen S, Thavaramara T. Platelet to lymphocyte ratio as a prognostic factor for epithelial ovarian cancer. J Gynecol Oncol. 2012;23(4):265–73.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Fairclough E, Cairns E, Hamilton J, Kelly C. Evaluation of a modified early warning system for acute medical admissions and comparison with C-reactive protein/albumin ratio as a predictor of patient outcome. Clin Med (Lond). 2009;9(1):30–3.

    Article  Google Scholar 

  19. Ranzani OT, Zampieri FG, Forte DN, Azevedo LC, Park M. C-reactive protein/albumin ratio predicts 90-day mortality of septic patients. PLoS One. 2013;8(3):e59321.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. Kinoshita A, Onoda H, Imai N, Iwaku A, Oishi M, Tanaka K, et al. The C-reactive protein/albumin ratio, a novel inflammation-based prognostic score, predicts outcomes in patients with hepatocellular carcinoma. Ann Surg Oncol. 2015;22(3):803–10.

    Article  PubMed  Google Scholar 

  21. Liu X, Sun X, Liu J, Kong P, Chen S, Zhan Y, et al. Preoperative C-reactive protein/albumin ratio predicts prognosis of patients after curative resection for gastric cancer. Transl Oncol. 2015;8(4):339–45.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Xu XL, Yu HQ, Hu W, Song Q, Mao WM. A novel inflammation-based prognostic score, the C-reactive protein/albumin ratio predicts the prognosis of patients with operable esophageal Squamous cell carcinoma. PLoS One. 2015;10(9):e0138657.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wei XL, Wang FH, Zhang DS, Qiu MZ, Ren C, Jin Y, et al. A novel inflammation-based prognostic score in esophageal squamous cell carcinoma: the C-reactive protein/albumin ratio. BMC Cancer. 2015;15:350.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Perkins NJ, Schisterman EF. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol. 2006;163(7):670–5.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Marnell L, Mold C, Du Clos TW. C-reactive protein: ligands, receptors and role in inflammation. Clin Immunol. 2005;117(2):104–11.

    CAS  Article  PubMed  Google Scholar 

  26. McSorley MA, Alberg AJ, Allen DS, Allen NE, Brinton LA, Dorgan JF, et al. C-reactive protein concentrations and subsequent ovarian cancer risk. Obstet Gynecol. 2007;109(4):933–41.

    CAS  Article  PubMed  Google Scholar 

  27. Zeng F, Wei H, Yeoh E, Zhang Z, Ren ZF, Colditz GA, et al. Inflammatory markers of CRP, IL6, TNFalpha, and soluble TNFR2 and the risk of ovarian cancer: a meta-analysis of prospective studies. Cancer Epidemiol Biomark Prev. 2016;25(8):1231–9.

    CAS  Article  Google Scholar 

  28. Hefler LA, Concin N, Hofstetter G, Marth C, Mustea A, Sehouli J, et al. Serum C-reactive protein as independent prognostic variable in patients with ovarian cancer. Clin Cancer Res. 2008;14(3):710–4.

    CAS  Article  PubMed  Google Scholar 

  29. Kemik O, Sumer A, Kemik AS, Hasirci I, Purisa S, Dulger AC, et al. The relationship among acute-phase response proteins, cytokines and hormones in cachectic patients with colon cancer. World J Surg Oncol. 2010;8:85.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Reynes G, Vila V, Martin M, Parada A, Fleitas T, Reganon E, et al. Circulating markers of angiogenesis, inflammation, and coagulation in patients with glioblastoma. J Neuro-Oncol. 2011;102(1):35–41.

    CAS  Article  Google Scholar 

  31. Esper DH, Harb WA. The cancer cachexia syndrome: a review of metabolic and clinical manifestations. Nutr Clin Pract. 2005;20(4):369–76.

    Article  PubMed  Google Scholar 

  32. Al-Shaiba R, McMillan DC, Angerson WJ, Leen E, McArdle CS, Horgan P. The relationship between hypoalbuminaemia, tumour volume and the systemic inflammatory response in patients with colorectal liver metastases. Br J Cancer. 2004;91(2):205–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Argiles JM, Busquets S, Lopez-Soriano FJ. Cytokines in the pathogenesis of cancer cachexia. Curr Opin Clin Nutr Metab Care. 2003;6(4):401–6.

    CAS  PubMed  Google Scholar 

  34. Yim GW, Eoh KJ, Kim SW, Nam EJ, Kim YT. Malnutrition identified by the nutritional risk index and poor prognosis in advanced epithelial ovarian carcinoma. Nutr Cancer. 2016;68(5):772–9.

    CAS  Article  PubMed  Google Scholar 

  35. Asher V, Lee J, Bali A. Preoperative serum albumin is an independent prognostic predictor of survival in ovarian cancer. Med Oncol. 2012;29(3):2005–9.

    CAS  Article  PubMed  Google Scholar 

  36. Ataseven B, du Bois A, Reinthaller A, Traut A, Heitz F, Aust S, et al. Pre-operative serum albumin is associated with post-operative complication rate and overall survival in patients with epithelial ovarian cancer undergoing cytoreductive surgery. Gynecol Oncol. 2015;138(3):560–5.

    CAS  Article  PubMed  Google Scholar 

  37. Nishikawa H, Osaki Y. Clinical significance of therapy using branched-chain amino acid granules in patients with liver cirrhosis and hepatocellular carcinoma. Hepatol Res. 2014;44(2):149–58.

    CAS  Article  PubMed  Google Scholar 

  38. Forrest LM, McMillan DC, McArdle CS, Angerson WJ, Dunlop DJ. Comparison of an inflammation-based prognostic score (GPS) with performance status (ECOG) in patients receiving platinum-based chemotherapy for inoperable non-small-cell lung cancer. Br J Cancer. 2004;90(9):1704–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. du Bois A, Reuss A, Pujade-Lauraine E, Harter P, Ray-Coquard I, Pfisterer J. Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: a combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzinom (AGO-OVAR) and the Groupe d'Investigateurs Nationaux pour les etudes des cancers de l'Ovaire (GINECO). Cancer. 2009;115(6):1234–44.

    Article  PubMed  Google Scholar 

  40. Friedlander ML. Prognostic factors in ovarian cancer. Semin Oncol. 1998;25(3):305–14.

    CAS  PubMed  Google Scholar 

  41. Paramasivam S, Tripcony L, Crandon A, Quinn M, Hammond I, Marsden D, et al. Prognostic importance of preoperative CA-125 in International Federation of Gynecology and Obstetrics stage I epithelial ovarian cancer: an Australian multicenter study. J Clin Oncol. 2005;23(25):5938–42.

    CAS  Article  PubMed  Google Scholar 

  42. Kumar P, Rehani MM, Kumar L, Sharma R, Bhatla N, Chaudhry R, et al. Tumor marker CA-125 as an evaluator and response indicator in ovarian cancer: its quantitative correlation with tumor volume. Med Sci Monit. 2005;11(2):CR84–9.

    CAS  PubMed  Google Scholar 

  43. Mury D, Woelber L, Jung S, Eulenburg C, Choschzick M, Witzel I, et al. Prognostic and predictive relevance of CA-125 at primary surgery of ovarian cancer. J Cancer Res Clin Oncol. 2011;137(7):1131–7.

    CAS  Article  PubMed  Google Scholar 

  44. Chi DS, Zivanovic O, Palayekar MJ, Eisenhauer EL, Abu-Rustum NR, Sonoda Y, et al. A contemporary analysis of the ability of preoperative serum CA-125 to predict primary cytoreductive outcome in patients with advanced ovarian, tubal and peritoneal carcinoma. Gynecol Oncol. 2009;112(1):6–10.

    CAS  Article  PubMed  Google Scholar 

Download references


Not applicable.


This work was supported by Grant [2013]163 from Key Laboratory of Malignant Tumor Molecular Mechanism and Translational Medicine of Guangzhou Bureau of Science and Information Technology; Grant K1809001 from the Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong Higher Education Institutes; Guangdong Natural Science Fund (2015A030310083). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

The datasets during and/or analysed during the current study available from the corresponding author on reasonable request.

Authors’ contributions

CSF and LYB drafted the manuscript. LYB, CSF, ZCY, DM and ZL participated in the clinical data collecting of patients. CSF and LYB performed the statistical analysis. WLA, XMQ and ZJH helped in the verification of patients’ data and revised the manuscripts. CSF, LYB, XMQ and ZJH 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.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Written informed consents for their information to be stored and used in the hospital database were obtained prior to data collection and the study was approved by the ethics committee of the Sun Yat-sen University Cancer Center. The study was conducted in accordance with the Declaration of Helsinki to protect the personal data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations


Corresponding authors

Correspondence to Meiqing Xie or Jianhua Zhou.

Additional information

Yubo Liu and Shengfu Chen contributed equally to this work.

Additional file

Additional file 1:

ROC analysis of CA-125 to predict an “optimal” cutoff value (AUC area under the curve). (TIFF 23 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Liu, Y., Chen, S., Zheng, C. et al. The prognostic value of the preoperative c-reactive protein/albumin ratio in ovarian cancer. BMC Cancer 17, 285 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • C-reactive protein/albumin ratio
  • Inflammation-based prognostic score
  • Ovarian cancer
  • Prognosis