Skip to main content
Log in

Inflammatory Indexes as Prognostic and Predictive Factors in Ovarian Cancer Treated with Chemotherapy Alone or Together with Bevacizumab. A Multicenter, Retrospective Analysis by the MITO Group (MITO 24)

  • Original Research Article
  • Published:
Targeted Oncology Aims and scope Submit manuscript

Abstract

Background

The variability in progression-free survival (PFS) and overall survival (OS) among patients with epithelial ovarian cancer (EOC) makes it difficult to reliably predict outcomes. A predictive biomarker of bevacizumab efficacy as first-line therapy in EOC is still lacking.

Objective

The MITO group conducted a multicenter, retrospective study (MITO 24) to investigate the role of inflammatory indexes as prognostic factors and predictors of treatment efficacy in FIGO stage III–IV EOC patients treated with first-line chemotherapy alone or in combination with bevacizumab.

Patients and Methods

Of the 375 patients recruited, 301 received chemotherapy alone and 74 received chemotherapy with bevacizumab. The pre-treatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) were evaluated to identify a potential correlation with PFS and OS in both the overall population and the two treatment arms.

Results

In the overall population, the PFS and OS were significantly longer in patients with low inflammatory indexes (p < 0.0001). In multivariate analyses, the NLR was significantly associated with OS (p = 0.016), and the PLR was significantly associated with PFS (p = 0.024). Inflammatory indexes were significantly correlated with patient prognosis in the chemotherapy-alone group (p < 0.0001). Patients in the chemotherapy with bevacizumab group with a high NLR had a higher PFS and OS (p = 0.026 and p = 0.029, respectively) than those in the chemotherapy-alone group. Conversely, PFS and OS were significantly poorer in patients with a high SII (p = 0.024 and p = 0.017, respectively).

Conclusion

Our results suggest that bevacizumab improves clinical outcome in patients with a high NLR but may be detrimental in those with a high SII.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74.

    Article  PubMed  CAS  Google Scholar 

  2. Karam A, Ledermann JA, Kim JW, et al. 5th ovarian Cancer consensus conference. In: Fifth Ovarian Cancer Consensus Conference of the gynecologic Cancer InterGroup: First-Line Interventions. Ann Oncol. 2017;28:711–7.

  3. Perren TJ, Swart AM, Pfisterer J, et al. A phase 3 trial of bevacizumab in ovarian cancer. N Engl J Med. 2011;365:2484–96.

    Article  PubMed  CAS  Google Scholar 

  4. Burger RA, Brady MF, Bookman MA, et al. Incorporation of bevacizumab in the primary treatment of ovarian cancer. N Engl J Med. 2011;365:2473–83.

    Article  PubMed  CAS  Google Scholar 

  5. Oza AM, Cook AD, Pfisterer J, et al. Standard chemotherapy with or without bevacizumab for women with newly diagnosed ovarian cancer (ICON7): overall survival results of a phase 3 randomised trial. Lancet Oncol. 2015;16:928–36.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Wilson MK, Pujade-Lauraine E, Aoki D, et al. Fifth ovarian Cancer consensus conference of the gynecologic Cancer InterGroup: recurrent disease. Ann Oncol. 2017;28:727–32.

    Article  PubMed  CAS  Google Scholar 

  7. Aghajanian C, Goff B, Nycum LR, et al. Final overall survival and safety analysis of OCEANS, a phase 3 trial of chemotherapy with or without bevacizumab in patients with platinum-sensitive recurrent ovarian cancer. Gynecol Oncol. 2015;139:10–6.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Lambrechts D, Lenz HJ, de Haas S, Carmeliet P, Scherer SJ. Markers of response for the antiangiogenic agent bevacizumab. J Clin Oncol 2013;31:1219–1230.

  9. Bais C, Mueller B, Brady MF, et al. Tumor microvessel density as a potential predictive marker for bevacizumab benefit: GOG-0218 biomarker analyses. J Natl Cancer Inst. 2017;109(11):djx066. https://doi.org/10.1093/jnci/djx066.

    Article  PubMed Central  Google Scholar 

  10. Idzko M, Ferrari D, Eltzschig HK. Nucleotide signalling during inflammation. Nature. 2014;509:310–7.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010;140:883–99.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Templeton AJ, McNamara MG, Seruga B, et al. Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. J Natl Cancer Inst. 2014;106:u124.

    Article  CAS  Google Scholar 

  13. Santoni M, De Giorgi U, Iacovelli R, et al. Pre-treatment neutrophil-to-lymphocyte ratio may be associated with the outcome in patients treated with everolimus for metastatic renal cell carcinoma. Br J Cancer. 2013;109:1755–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Chua W, Charles KA, Baracos VE, Clarke SJ. Neutrophil/ lymphocyte ratio predicts chemotherapy outcomes in patients with advanced colorectal cancer. Br J Cancer. 2011;104:1288–95.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Rossi L, Santoni M, Crabb SJ, et al. High neutrophil-to-lymphocyte ratio persistent during first-line chemotherapy predicts poor clinical outcome in patients with advanced urothelial Cancer. Ann Surg Oncol. 2015;22:1377–84.

    Article  PubMed  Google Scholar 

  16. Conteduca V, Crabb SJ, Jones RJ, et al. Persistent neutrophil to lymphocyte ratio >3 during treatment with enzalutamide and clinical outcome in patients with castration-resistant prostate cancer. PLoS One. 2016;11:e0158952.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Huang QT, Zhou L, Zeng WJ, et al. Prognostic significance of neutrophil-to-lymphocyte ratio in ovarian cancer: a systematic review and meta-analysis of observational studies. Cell Physiol Biochem. 2017;41:2411–8.

    Article  PubMed  CAS  Google Scholar 

  18. Kwon HC, Kim SH, Oh SY, et al. Clinical significance of preoperative neutrophil-lymphocyte versus platelet-lymphocyte ratio in patients with operable colorectal cancer. Biomarkers. 2012;17:216–22.

    Article  PubMed  CAS  Google Scholar 

  19. Hu B, Yang XR, Xu Y, et al. Systemic immune- inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma. Clin Cancer Res. 2014;20:6212–22.

    Article  PubMed  CAS  Google Scholar 

  20. Passardi A, Scarpi E, Cavanna L, et al. Inflammatory indexes as predictors of prognosis and bevacizumab efficacy in patients with metastatic colorectal cancer. Oncotarget. 2016;7:33210–9.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lolli C, Caffo O, Scarpi E, et al. Systemic immune-inflammation index predicts the clinical outcome in patients with mcrpc treated with abiraterone. Front Pharmacol. 2016;7:376.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Clarke S, Burge M, Cordwell C, et al. An australian translational study to evaluate the prognostic role of inflammatory markers in patients with metastatic colorectal cancer treated with bevacizumab (Avastin) [ASCENT]. BMC Cancer. 2013;13:120.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–47.

    Article  PubMed  CAS  Google Scholar 

  24. Moses K, Brandau S. Human neutrophils: their role in cancer and relation to myeloid-derived suppressor cells. Semin Immunol. 2016;28:187–96.

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  26. Labelle M, Begum S, Hynes RO. Direct signaling between platelets and cancer cells induces epithelial-mesenchymal-like transition and promote metastasis. Cancer Cell. 2011;20:576–90.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Zhang L, Conejo-Garcia JR, Katsaros D, et al. Intratumoral T cells, recurrence, and survival in epithelial ovarian cancer. N Engl J Med. 2003;348:203–13.

    Article  PubMed  CAS  Google Scholar 

  28. Leffers N, Gooden MJ, de Jong RA, et al. Prognostic significance of tumor-infiltrating T-lymphocytes in primary and metastatic lesions of advanced stage ovarian cancer. Cancer Immunol Immunother. 2009;58:449–59.

    Article  PubMed  Google Scholar 

  29. Manning EA, Ullman JG, Leatherman JM, et al. A vascular endothelial growth factor receptor-2 inhibitor enhances antitumor immunity through an immune-based mechanism. Clin Cancer Res. 2007;13:3951–9.

    Article  PubMed  CAS  Google Scholar 

  30. Shrimali RK, Yu Z, Theoret MR, et al. Antiangiogenic agents can increase lymphocyte infiltration into tumor and enhance the effectiveness of adoptive immunotherapy of cancer. Cancer Res. 2010;70:6171–80.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Lambert AW, Pattabiraman DR, Weinberg RA. Emerging biological principles of metastasis. Cell. 2017;168:670–91.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Kim HS, Choi HY, Lee M, et al. Systemic inflammatory response markers and CA-125 levels in ovarian clear cell carcinoma: a two center cohort study. Cancer Res Treat. 2016;48:250–8.

    Article  PubMed  CAS  Google Scholar 

  33. Labelle M, Begum S, Hynes RO. Platelets guide the formation of early metastatic niches. Proc Natl Acad Sci USA. 2014;111:E3053–61.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  34. Grepin R, Guyot M, Jacquin M, et al. Acceleration of clear cell renal cell carcinoma growth in mice following bevacizumab/Avastin treatment: the role of CXCL cytokines. Oncogene. 2012;31:1683–94.

    Article  PubMed  CAS  Google Scholar 

  35. Stone RL, Nick AM, McNeish IA, et al. Paraneoplastic thrombocytosis in ovarian cancer. N Engl J Med. 2012;366:610–8. N Engl J Med. 2012;367:1768 (Erratum).

  36. Middleton K, Jones J, Lwin Z, Coward JI. Interleukin-6: an angiogenic target in solid tumours. Crit Rev Oncol Hematol. 2014;89:129–39.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ugo De Giorgi.

Ethics declarations

Funding

No external funding was used in the preparation of this manuscript.

Conflict of Interest

Alberto Farolfi, Micaela Petrone, Emanuela Scarpi, Valentina Gallà, Filippo Greco, Claudia Casanova, Lucia Longo, Gennaro Cormio, Michele Orditura, Alessandra Bologna, Laura Zavallone, Jole Ventriglia, Elisena Franzese, Vera Loizzi, Donatella Giardina, Eva Pigozzi, Raffaella Cioffi, Sandro Pignata, Giorgio Giorda, and Ugo De Giorgi declare that they have no conflicts of interest that might be relevant to the contents of this manuscript.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Farolfi, A., Petrone, M., Scarpi, E. et al. Inflammatory Indexes as Prognostic and Predictive Factors in Ovarian Cancer Treated with Chemotherapy Alone or Together with Bevacizumab. A Multicenter, Retrospective Analysis by the MITO Group (MITO 24). Targ Oncol 13, 469–479 (2018). https://doi.org/10.1007/s11523-018-0574-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11523-018-0574-1

Navigation