Alberto Farolfi1, Micaela Petrone2, Emanuela Scarpi3, Valentina Gallà3, Filippo Greco4, Claudia Casanova5, Lucia Longo6, Gennaro Cormio7, Michele Orditura8, Alessandra Bologna9, Laura Zavallone10, Jole Ventriglia11, Elisena Franzese8, Vera Loizzi7, Donatella Giardina6, Eva Pigozzi4, Raffaella Cioffi2, Sandro Pignata11, Giorgio Giorda12, Ugo De Giorgi13. 1. Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy. 2. Department of Obstetrics and Gynaecology, San Raffaele Scientific Institute, Milan, Italy. 3. Biostatistic and Clinical trials Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy. 4. Medical Oncology Unit, ULSS 9 Regione Veneto, Legnago, Italy. 5. Department of Medical Oncology, Santa Maria delle Croci Hospital, Ravenna, Italy. 6. Medical Oncology Unit, Ramazzini Hospital, Carpi, Italy. 7. Gynecology Oncology Unit, Università degli Studi di Bari & IRCCS Istituto Oncologico "Giovanni Paolo II", Bari, Italy. 8. Department of Clinical and Experimental Medicine "F. Magrassi", Università degli Studi della Campania "Luigi Vanvitelli ", Naples, Italy. 9. Medical Oncology Unit, Clinical Cancer Centre, IRCCS-Arcispedale S. Maria Nuova, Reggio Emilia, Italy. 10. Department Medical Oncology, Infermi Hospital, Biella, Italy. 11. Department of Uro-Gynaecological Oncology, Istituto Nazionale Tumori "Fondazione G. Pascale" IRCCS, Naples, Italy. 12. Department of Gynecological Oncology, Centro di Riferimento Oncologico (CRO) IRCCS, Aviano, Italy. 13. Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy. ugo.degiorgi@irst.emr.it.
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.
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.
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