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Biological significance and prognostic relevance of peripheral blood neutrophil-to-lymphocyte ratio in soft tissue sarcoma

Scientific Reportsvolume 8, Article number: 11959 (2018) | Download Citation


Peripheral blood indices of systemic inflammation such as the neutrophil-lymphocyte ratio (NLR) have been shown to be prognostic in various cancers. We aim to investigate the clinical significance of these indices in patients with soft tissue sarcoma (STS). Seven hundred and twelve patients with available blood counts at diagnosis and/or metastatic relapse were retrospectively examined. An optimal cutoff for NLR-high (>2.5) in predicting overall survival (OS) was determined using receiver operating curve analyses. Survival analyses were performed using the Kaplan-Meier method and multivariate Cox proportional models. Our results show that NLR was significantly higher in patients with distant metastasis at diagnosis (n = 183) compared to those without (n = 529) (median: 4.36 vs 2.85, p < 0.0001). Progression of localized disease at diagnosis to metastatic relapse within the same patients was associated with an interval increase in NLR (median: 3.21 vs 3.74, p = 0.0003). In multivariate analysis, NLR-high was the only consistent factor independently associated with both worse OS (HR 1.53, 95% CI 1.10–2.13, p = 0.0112) and relapse-free survival (HR 1.41, 95% CI 1.08–1.85, p = 0.0125) in localized disease, as well as OS (HR 1.82, 95% CI 1.16–2.85, p = 0.0087) in metastatic/unresectable disease. In conclusion, high NLR is an independent marker of poor prognosis among patients with STS.


Soft tissue sarcomas represent a heterogeneous group of tumors originating from mesenchymal precursors that exhibit histopathological diversity and varying levels of biological aggressiveness1. In patients with localized disease, up to 50% eventually experience metastases and death despite undergoing definitive therapy2. Notwithstanding advances in modern chemotherapy, prognosis remains dismal in metastatic disease, with a two-year overall survival (OS) rate of approximately 30%. Therefore, there is currently an unmet need for a greater understanding of factors which determine the biological behavior and prognosis of soft tissue sarcomas, on top of already established parameters such as anatomical location, tumor size, tumor depth, pathologic grade, histologic subtype, and margin status3,4.

The inflammatory response is a hallmark of cancer and is known to affect every single step of tumorigenesis from tumor initiation and promotion, to metastatic progression5,6. In addition, cancer-related inflammation contributes to subversion of host immune surveillance, induction of genetic instability, and reduced therapeutic response7. Recently, emerging evidence supports an important role of systemic inflammation in the pathobiology of soft tissue sarcomas, with several studies reporting prognostic implications of inflammatory biomarkers such as serum cytokines8, C-reactive protein (CRP)9, erythrocyte sedimentation rate (ESR)10, as well as alterations in specific subsets of circulating peripheral blood cells. The potential clinical utility of elevated neutrophil-lymphocyte ratio (NLR)11,12,13,14, decreased lymphocyte-monocyte ratio (LMR)15 or raised platelet-lymphocyte ratio (PLR)16 as adverse prognostic indicators in localized soft tissue sarcomas has been suggested in several studies, albeit with mixed results. Amongst these indices, the NLR has been the most thoroughly investigated, and recent meta-analyses have shown that high NLR is correlated with poor survival across several cancer types besides sarcomas17,18. The correlation of these indices with biological characteristics, including the temporal relationship with metastatic progression, as well as the prognostic significance in metastatic disease however, remain unclear.

Therefore, we conducted a retrospective study to investigate the prognostic relevance and clinical correlates of peripheral blood indices of systemic inflammation, including the NLR, PLR, and LMR, across various stages and histological subtypes of soft tissue sarcoma.


Patient demographics

The median age at diagnosis was 56 years (range: 14 to 95 years). Three hundred and forty-six (48.6%) were male and 366 (51.4%) were female. Out of all patients, 54.4% (n = 387) had high-grade tumors, 13.5% (n = 96) had low-grade tumors, 23.3% (n = 166) had intermediate-grade tumors, while the rest were unknown. The histopathological subtypes included undifferentiated pleomorphic sarcoma (n = 151), liposarcoma (n = 150), leiomyosarcoma (n = 111), angiosarcoma (n = 76), synovial sarcoma (n = 50), myxofibrosarcoma (n = 43) and others (n = 131). Out of 529 (74.3%) patients with localized disease, 473 patients underwent surgical resection with curative intent. The median tumor size was 9.4 cm (range: 0.9 to 55 cm). Tumors were resected with R0 margins in 295 cases (62.4%) and with R1 margins in 166 cases (35.1%). Post-operative radiation therapy was administered to 178 patients (37.6%). Post-operative chemotherapy was administered to 30 patients (6.3%). Ten patients (2.1%) received neoadjuvant chemotherapy and 6 (1.3%) received neoadjuvant radiotherapy. Patient characteristics are summarized in Table 1.

Table 1 Clinicopathological features and neutrophil-lymphocyte ratio at diagnosis.

Across the entire cohort, the values for NLR (median: 3.14, range: 0.82 to 68.57), PLR (median: 184.5, range: 6 to 10258) and LMR (median: 2.98, range: 0.02 to 18.46) follow non-normal distributions (all p < 0.0001). Patients were dichotomized according to levels of NLR, PLR, LMR using optimized cut-offs to predict OS as derived from ROC curve analysis (>2.5, >182 and ≤2.4, respectively). The areas under the curve for NLR, PLR and LMR for OS were 0.660 (95% CI 0.624 to 0.695), 0.604 (95% CI 0.567 to 0.640), and 0.652 (95% CI 0.616 to 0.687), respectively. Four hundred and fifty-eight patients (64.3%) were categorized as NLR-high, 364 (51.1%) as PLR-high, and 459 (64.5%) as LMR-high.

Clinicopathological correlates

NLR-high was significantly associated with distant metastasis at diagnosis (p < 0.0001), high tumor grade (p < 0.0001), tumor size >5 cm (p = 0.0035), deep tumors (p = 0.0030), PLR-high (p < 0.0001) and LMR-low (p < 0.0001), but not with sex, age at diagnosis, cardiovascular co-morbidities or ethnicity (Table 1). NLR was significantly higher in patients with distant metastatic disease at diagnosis compared to those without (median: 4.36 vs 2.85, p < 0.0001) (Fig. 1b). This was accompanied by both higher levels of neutrophils (median: 6.74 vs 4.68, p < 0.0001) as well as lower levels of lymphocytes (median: 1.51 vs 1.66, p = 0.0789). Amongst patients with non-metastatic disease at the time of diagnosis, 167 (35.3%) eventually developed distant metastasis after a median of 11.2 months, out of which 155 had available pre-treatment peripheral blood neutrophil and lymphocyte counts at the time of diagnosis and at the time of metastatic relapse. Progression of localized disease at diagnosis to metastatic relapse in these patients was associated with an interval increase in NLR (median: 3.21 vs 3.74, p = 0.0003) (Fig. 1c). This observation was mainly related to an interval reduction in lymphocyte counts (median: 1.61 vs 1.41, p = 0.0001) rather than an increase in neutrophil counts (median: 4.96 vs 5.27, p = 0.529).

Figure 1
Figure 1

Derivation of NLR and correlation with clinicopathology. (a) An optimal cut-off for high NLR (>2.5) in predicting overall survival was determined using receiver operating curve analyses. (b) Patients with distant metastasis at diagnosis, higher tumor grade, larger tumor size, as well as tumor depth were associated with higher NLR. (c) Progression of localized disease at diagnosis to metastatic relapse within the same patients was associated with an increase in NLR (p = 0.0003, Wilcoxon signed-rank test). (d) In histotype-specific analysis, liposarcomas (LPS) with dedifferentiated components or retroperitoneal primary sites were significantly associated with higher NLR. Undifferentiated pleomorphic sarcomas (UPS) and synovial sarcomas (SS) of the extremities had lower NLR. No difference was observed for uterine leiomyosarcomas (LMS) or skin angiosarcomas (AS) compared to other primary sites. *p < 0.05, **p < 0.001, ***p < 0.0001 by Mann-Whitney U test. ns, non-significant; sup, superficial.

In histotype-specific analysis, liposarcomas with dedifferentiated components or those derived from retroperitoneal sites were significantly associated with higher NLR (dedifferentiated vs other: 3.49 vs 2.37, p < 0.0001; retroperitoneal vs other: 3.93 vs 2.35, p < 0.0001). Undifferentiated pleomorphic sarcomas (UPS) and synovial sarcomas (SS) of the extremities were associated with lower NLR, in comparison to those arising from non-extremity sites (UPS: 2.81 vs 4.31, p = 0.0073; SS: 1.90 vs 3.92, p = 0.0081). No difference was observed for leiomyosarcomas of the uterus or angiosarcomas of the skin compared to those arising from other primary sites (Fig. 1d).

Survival analyses

At the time of data analysis, 378 patients (53.1%) had died. In the overall cohort, NLR-high at baseline prior to any therapy (including surgery) was associated with worse OS (HR 2.33, 95% CI 1.90 to 2.86, p < 0.0001) (Fig. 2). Median OS was 2.4 years in patients with NLR-high and 10.9 years with NLR-low. In the subgroup of patients with localized resectable disease who underwent curative surgery, NLR-high was correlated with worse OS (HR 1.93, 95% CI 1.45 to 2.57, p < 0.0001) and RFS (HR 1.63, 95% CI 1.28 to 2.07, p < 0.0001), as were advanced age at diagnosis, high tumor grade, large tumor size, positive surgical margins, high PLR and low LMR. Similarly, subgroup analysis of patients with metastatic/unresectable disease showed that NLR-high had a detrimental effect on OS (HR 2.19, 95% CI 1.62 to 2.97, p < 0.0001) (Table 2). In multivariate models adjusted for clinicopathological predictors of survival, NLR-high was the only consistent factor independently associated with both worse OS (HR 1.53, 95% CI 1.10 to 2.13, p = 0.0112) and RFS (HR 1.41, 95% CI 1.08 to 1.85, p = 0.0125) in localized disease, as well as OS (HR 1.82, 95% CI 1.16 to 2.85, p = 0.0087) in metastatic/unresectable disease. In metastatic/unresectable cases, LMR-low was also independently associated with worse OS (HR 1.71, 95% CI 1.21 to 2.43, p = 0.0026). Other independent predictors of survival outcomes are summarized in Table 3.

Figure 2
Figure 2

Survival outcomes stratified by NLR. High NLR was associated with worse (a) overall survival and (b) relapse-free survival.

Table 2 Univariate survival analysis.
Table 3 Multivariate survival analysis.

In subgroup analysis according to histotype, NLR-high was associated with worse OS across different sarcoma subtypes (Fig. 3). Among patients with localized disease treated with curative surgery, a total of 441 patients (93.2%) had complete data on tumor stage - stage I (n = 88), stage II (n = 152) and stage III (n = 201). Analysis of OS according to AJCC stages subdivided by NLR revealed a significantly worse prognosis for NLR-high subgroups, with a 1.6 fold, 1.5 fold and 2.0 fold risk of death in patients who underwent curative surgery with stages II (HR 1.55, 95% CI 1.10 to 2.19) and III (HR 1.55, 95% CI 1.01 to 2.37) disease, as well as within stage IV (HR 2.03, 95% CI 1.14 to 3.62), respectively (log-rank p < 0.0001) (Fig. 4).

Figure 3
Figure 3

Survival analysis by histological subtypes. High NLR was associated with worse overall survival across sarcoma histotypes, including (a) leiomyosarcoma (n = 111), (b) liposarcoma (n = 150), (c) angiosarcoma (n = 76), (d) undifferentiated pleomorphic sarcoma (n = 151), (e) synovial sarcoma (n = 50) and (f) other miscellaneous sarcomas (n = 174).

Figure 4
Figure 4

Survival outcomes by stage. Analysis of overall survival according to American Joint Committee on Cancer (AJCC) stages subdivided by NLR revealed a significant worse prognosis for NLR-high subgroups, with a 1.6 fold, 1.5 fold and 2.0 fold risk of death within stages II (HR 1.55, 95% CI 1.10–2.19), III (HR 1.55, 95% CI 1.01–2.37), and IV (HR 2.03, 95% CI 1.14–3.62), respectively.


Our current study demonstrates that peripheral blood indices of systemic inflammation are potential biomarkers of poor prognosis in soft tissue sarcoma. Specifically, we showed that a high NLR independently correlated with poor survival outcomes in patients across both localized and metastatic stages of disease. This association was consistently observed across different histological subtypes, suggesting that systemic inflammation, as represented by an elevated NLR, is a fundamental adverse phenomenon in soft tissue sarcoma. Notably, we observed that NLR was significantly higher in patients with tumors of higher grade, depth, and larger size. In addition, we showed that NLR was more pronounced in the presence of distant metastasis - in both de novo and relapsed settings.

In line with our observations, previous studies have shown that high NLR in the pre-operative setting was associated with worse survival outcomes in non-metastatic soft tissue sarcomas11,12,13,14. In a small study of 83 patients with miscellaneous surgically-excised soft tissue sarcomas by Idowu et al., high NLR ≥ 5 was an independently associated with poor OS11. Nakamura et al. examined the role of pre-treatment CRP levels and NLR in a cohort of 129 patients with non-metastatic disease, and observed significantly worse disease-specific survival outcomes for patients with both an elevated CRP level and high NLR, as compared to those with both a normal CRP level and low NLR12. These results were subsequently corroborated in larger studies, which similarly showed significant associations with faster time to tumor recurrence and poorer OS13, as well as disease-specific survival14 [Table 4]. Other investigators incorporating related inflammatory indices into their studies, in addition to NLR - including the PLR, LMR or ESR likewise showed that these were prognostic in localized soft tissue sarcomas10,15,16. The prognostic role of PLR has been investigated in a meta-analysis which concluded that high PLR was independently associated with worse OS in various solid tumors17, as well as in a retrospective analysis of resected soft tissue sarcoma16. Pre-operative LMR, but not NLR or PLR, has also been independently correlated with worse disease-free survival and disease-specific survival in one study on resected soft tissue sarcoma15. Our own results showed that high NLR, but not PLR or LMR, was independently associated with worse RFS and OS. In addition, both NLR and LMR were independent predictors for worse OS in metastatic/unresectable soft tissue sarcoma. Taken together, it appears that the NLR may be a reliable prognostic biomarker in soft tissue sarcoma.

Table 4 Overview of soft tissue sarcoma studies on the impact of survival outcomes by a high NLR.

To date, it remains unclear if alterations in the proportion of neutrophil and lymphocyte counts directly influence disease biology, or simply represent a non-specific inflammatory reaction to malignant progression. Regardless, our results suggest that NLR is a dynamic measure of systemic inflammation that changes longitudinally with the course of disease - patients who developed metastatic relapse demonstrated an interval increase in NLR as compared to the time when they were initially diagnosed with localized disease, supporting preliminary observations by other investigators10. Such temporal changes have also been reported in the setting of metastatic soft tissue sarcoma, in which an interval increase in NLR after initial treatment was associated with worse progression-free survival and OS19. It is well known that tumor-infiltrating lymphocytes may limit the metastatic cascade of cancer cells20, while neutrophils may contribute to tumor cell migration and metastasis by remodeling the extracellular matrix21 and promotion of angiogenesis20. Furthermore, neutrophils may facilitate tumor immune escape by inhibition of cytotoxic T lymphocytes22 and lymphokine-activated killer cells23. Given these opposing roles of neutrophils and lymphocytes in the immune regulation of tumor cells, it is tempting to speculate that an elevated NLR provides for an optimal immune milieu to promote tumor dissemination and metastasis.

Our present study is limited by its retrospective design and patient cohort derived from a single institution. Data on individual co-morbidities may not be completely captured and other inflammatory markers known to be prognostic in soft tissue sarcoma, such as CRP, ESR or albumin were also unavailable. It has been suggested that the NLR may be affected by medical conditions including hypertension, diabetes mellitus, hyperlipidemia, coronary artery disease, chronic kidney disease, heart failure, thyroid dysfunction, cerebrovascular disease and peripheral arterial disease24. Nonetheless, our study represents one of the largest to date and includes patients across all stages of disease. External validation on other retrospective datasets and prospective studies on independent group of patients would be necessary to verify our findings.

In conclusion, our study suggests that peripheral blood indices of systemic inflammation, as measured by the NLR, may be a useful prognostic factor in patients with soft tissue sarcoma.

Patients and Methods

Study cohort

Medical records of all patients with histologically-proven soft tissue sarcoma consecutively seen at the National Cancer Centre Singapore between April 1998 and June 2016 were retrospectively reviewed. A total of 712 patients who had available pre-treatment (prior to any therapy including surgery) peripheral blood neutrophil and lymphocyte counts at the time of diagnosis and/or metastatic relapse were included in the final analysis. None of the included patients had evidence of an infectious process or a hematological disorder at the time of blood draw. Median follow-up was 25.8 months. Clinicopathological information available included sex, age, ethnicity, tumor location, presence of distant metastasis, tumor size, tumor depth, histological subtype, tumor grade and surgical margins. Sex, age and ethnicity of the subjects were verified against their National Registry Identification Cards. Tumor size was defined as either the largest diameter as measured in resected pathological specimens or as measured from cross-sectional radiographs. Histological grading was performed using the Fédération Nationale des Centres de Lutte Contre le Cancer (FNCLCC) grading system25. Positive (R1) or negative (R0) surgical margins were defined depending upon microscopic involvement on histopathological analysis. All histological parameters were characterized by two independent expert soft tissue sarcoma pathologists (S.S., K.S.). Staging was based on the American Joint Committee on Cancer (AJCC) 7th edition classification26. These data were obtained at the time of diagnosis and at subsequent follow-up. Patient characteristics are summarized in Table 1. This work was done under approval from the SingHealth Centralized Institution Review Board. Informed consent was obtained from all participants and/or their legal guardians. All methods were performed in accordance with the relevant guidelines and regulations. The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Statistical analysis

The NLR was calculated by dividing absolute neutrophil counts by absolute lymphocyte counts taken at the same sitting. Receiver operating characteristic (ROC) curve analysis via the method of DeLong et al.27 was used to identify the optimal discriminatory cut-off value for NLR as a univariable predictor of OS. In previous studies, empirical cut-offs for NLR had been derived using ROC curve analyses10,11,13,16 while others had arbitrarily based their cut-off on median values12, institution references14, or previously published data15. These studies had not demonstrated any consistent or validated cut-off values, and were highly variable (ranging from 2.3 to 5.3) (summarized in Table 4). Given the heterogeneous methodologies and variable cut-offs obtained in these studies, we thus selected the ROC curve analysis as the most objective statistical method for our study. Internal validation was done using the bootstrapping method with 1000 iterations. Cutoffs for PLR and LMR were similarly obtained. The Kolmogorov–Smirnov test was applied to assess the normality of distribution for NLR, PLR and LMR. Comparisons of the frequencies of categorical variables were performed using Pearson’s Chi-squared tests. Continuous variables were represented by Box-Whisker plots and their associations with NLR levels were evaluated by Mann-Whitney U tests. The Wilcoxon sign-ranked test was used for pair-wise comparisons. The primary and secondary survival endpoints of interest in this study are OS and relapse-free survival (RFS), respectively. For analyses of OS, survival was measured from the date of diagnosis till the date of death from any cause, or was censored at the date of the last follow-up for survivors. RFS was defined as the time elapsed from the date of definitive surgery till the date of relapse or death from any cause. Kaplan-Meier survival curves were plotted to estimate actuarial survival, and compared using the log-rank test. Cox proportional hazards regression was used to calculate hazard ratios (HR) with corresponding 95% confidence intervals (95% CI) of mortality according to various clinicopathological features. Multivariate Cox regression model via a stepwise procedure was used to test for independence of significant factors identified on univariate analysis. All statistical evaluations were made assuming a two-sided test with significance level of 0.05 unless otherwise stated. All tests were performed using MedCalc statistical software for Windows version 17.9 (MedCalc Software, Ostend, Belgium).

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  1. 1.

    Jo, V. Y. & Fletcher, C. D. WHO Classification Of Soft Tissue Tumours: An Update Based On The 2013 (4th) Edition. Pathology. 46, 95–104 (2014).

  2. 2.

    Cormier, J. N. & Pollock, R. E. Soft tissue sarcomas. CA Cancer J. Clin. 54, 94–109 (2004).

  3. 3.

    Kattan, M. W., Leung, D. H. & Brennan, M. F. Postoperative nomogram for 12-year sarcoma-specific death. J. Clin. Oncol. 20, 791–796 (2002).

  4. 4.

    Maki, R. G. et al. Toward better soft tissue sarcoma staging: building on American Joint Committee on Cancer staging systems versions 6 and 7. Ann. Surg. Oncol. 20, 3377–3383 (2013).

  5. 5.

    Grivennikov, S. I., Greten, F. R. & Karin, M. Immunity, inflammation, and cancer. Cell. 140, 883–899 (2010).

  6. 6.

    Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell. 144, 646–674 (2011).

  7. 7.

    Colotta, F., Allavena, P., Sica, A., Garlanda, C. & Mantovani, A. Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis. 30, 1073–1081 (2009).

  8. 8.

    Rutkowski, P., Kaminska, J., Kowalska, M., Ruka, W. & Steffen, J. Cytokine serum levels in soft tissue sarcoma patients: correlations with clinico-pathological features and prognosis. Int. J. Cancer. 100, 463–471 (2002).

  9. 9.

    Nakamura, T. et al. Clinical significance of pretreatment serum C-reactive protein level in soft tissue sarcoma. Cancer. 118, 1055–1061 (2012).

  10. 10.

    Choi, E. S., Kim, H. S. & Han, I. Elevated preoperative systemic inflammatory markers predict poor outcome in localized soft tissue sarcoma. Ann. Surg. Oncol. 21, 778–785 (2014).

  11. 11.

    Idowu, O. K., Ding, Q., Taktak, A. F., Chandrasekar, C. R. & Yin, Q. Clinical implication of pretreatment neutrophil to lymphocyte ratio in soft tissue sarcoma. Biomarkers. 17, 539–544 (2012).

  12. 12.

    Nakamura, T. et al. 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).

  13. 13.

    Szkandera, J. et al. Elevated preoperative neutrophil/lymphocyte ratio is associated with poor prognosis in soft-tissue sarcoma patients. Br. J. Cancer. 108, 1677–1683 (2013).

  14. 14.

    Maretty-Kongstad, K., Aggerholm-Pedersen, N., Keller, J. & Safwat, A. A validated prognostic biomarker score for adult patients with nonmetastatic soft tissue sarcomas of the trunk and extremities. Transl. Oncol. 10, 942–948 (2017).

  15. 15.

    Szkandera, J. et al. The lymphocyte/monocyte ratio predicts poor clinical outcome and improves the predictive accuracy in patients with soft tissue sarcomas. Int. J. Cancer. 135, 362–370 (2014).

  16. 16.

    Que, Y. et al. Preoperative platelet-lymphocyte ratio is superior to neutrophil-lymphocyte ratio as a prognostic factor for soft-tissue sarcoma. BMC Cancer. 15, 648 (2015).

  17. 17.

    Templeton, A. J. et al. Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. J. Natl. Cancer Inst. 106, dju124 (2014).

  18. 18.

    Mei, Z. et al. Prognostic role of pretreatment blood neutrophil-to-lymphocyte ratio in advanced cancer survivors: A systematic review and meta-analysis of 66 cohort studies. Cancer Treat. Rev. 58, 1–13 (2017).

  19. 19.

    Jiang, L. et al. Prognostic value of monocyte and neutrophils to lymphocytes ratio in patients with metastatic soft tissue sarcoma. Oncotarget. 6, 9542–9550 (2015).

  20. 20.

    Kitamura, T., Qian, B. Z. & Pollard, J. W. Immune cell promotion of metastasis. Nat. Rev. Immunol. 15, 73–86 (2015).

  21. 21.

    De Larco, J. E., Wuertz, B. R. & Furcht, L. T. The potential role of neutrophils in promoting the metastatic phenotype of tumors releasing interleukin-8. Clin. Cancer Res. 10, 4895–4900 (2004).

  22. 22.

    Petrie, H. T., Klassen, L. W. & Kay, H. D. Inhibition of human cytotoxic T lymphocyte activity in vitro by autologous peripheral blood granulocytes. J. Immunol. 134, 230–234 (1985).

  23. 23.

    Shau, H. Y. & Kim, A. Suppression of lymphokine-activated killer induction by neutrophils. J. Immunol. 141, 4395–4402 (1988).

  24. 24.

    Demirkol, S. et al. Neutrophils/lymphocytes ratio in patients with cardiac syndrome X and its association with carotid intima-media thickness. Clin. Appl. Thromb. Hemost. 20, 250–255 (2014).

  25. 25.

    Coindre, J. M. Grading of soft tissue sarcomas: review and update. Arch. Pathol. Lab. Med. 130, 1448–1453 (2006).

  26. 26.

    Edge, S. B. et al. AJCC Cancer Staging Manual, 7th edition (Springer, 2010).

  27. 27.

    DeLong, E. R., DeLong, D. M. & Clarke-Pearson, D. L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 44, 837–845 (1988).

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We would like to thank all subjects who have participated in this study.

Author information


  1. Division of Medical Oncology, National Cancer Centre, Singapore, Singapore

    • Jason Yongsheng Chan
    • , Zewen Zhang
    • , Winston Chew
    • , Grace Fangmin Tan
    • , Chloe Liwen Lim
    • , Lingyue Zhou
    • , Wei Lin Goh
    • , Eileen Poon
    • , Nagavalli Somasundaram
    • , Mohamad Farid
    •  & Richard Quek
  2. Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore

    • Jason Yongsheng Chan
  3. Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore

    • Sathiyamoorthy Selvarajan
    •  & Kesavan Sittampalam
  4. Division of Radiation Oncology, National Cancer Centre, Singapore, Singapore

    • Francis Chin
    •  & Jonathan Teh
  5. Division of Surgical Oncology, National Cancer Centre, Singapore, Singapore

    • Mann Hong Tan
    • , Khee Chee Soo
    •  & Melissa Teo
  6. Duke-NUS Medical School, Singapore, Singapore

    • Sathiyamoorthy Selvarajan
    • , Francis Chin
    • , Mann Hong Tan
    • , Khee Chee Soo
    • , Melissa Teo
    • , Mohamad Farid
    •  & Richard Quek


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J.Y.C. wrote the main manuscript text. J.Y.C. and R.Q. conceptualized and designed the project. J.Y.C., Z.Z., W.C., G.F.T., C.L.L. and L.Z. contributed to data analyses and interpretation. All authors contributed to data acquisition and reviewed the manuscript.

Competing Interests

The authors declare no competing interests.

Corresponding author

Correspondence to Richard Quek.

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