Consensus statements and treatment algorithm to guide clinicians in the selection of maintenance therapy for patients with newly diagnosed, advanced ovarian carcinoma: Results of a Delphi study.

INTRODUCTION: Standard treatment of newly diagnosed, advanced ovarian carcinoma (OC) consists of cytoreductive surgery followed by platinum-based chemotherapy with or without bevacizumab. Maintenance therapy with PARP inhibitors and olaparib-bevacizumab has recently shown to significantly improve progression-free survival in the first-line setting. Some practical aspects of maintenance therapy, however, are still poorly defined. AIM OF THE STUDY: To provide guidance to clinicians in the selection of maintenance therapy for newly diagnosed, advanced ovarian carcinoma. METHODS: A board of six gynecologic oncologists with expertise in the treatment of OC in Italy convened to address issues related to the new options for maintenance treatment. Based on scientific evidences, the board produced practice-oriented statements. Consensus was reached via a modified Delphi study that involved a panel of 22 experts from across Italy. RESULTS: Twenty-seven evidence- and consensus-based statements are presented, covering the following areas of interest: use of biomarkers (BRCA mutations and presence of homologous recombination deficiency); timing and outcomes of surgery; selection of patients eligible for bevacizumab; definition of response to treatment; toxicity and contraindications; evidence of synergy of bevacizumab plus PARP inhibitor. Two treatment algorithms are also included, for selecting maintenance therapy based on timing and outcomes of surgery, response to platinum-based chemotherapy and biomarker status. A score for the assessment of response to chemotherapy is proposed, but its validation is ongoing. CONCLUSIONS: We provide here consensus statements and treatment algorithms to guide clinicians in the selection of appropriate and personalized maintenance therapy in the first-line setting of advanced OC management.

Inflammatory indexes as predictive factors for platinum sensitivity and as prognostic factors in recurrent epithelial ovarian cancer patients: a MITO24 retrospective study.

Neutrophil-to-lymphocyte ratio (NLR) and systemic inflammatory index (SII) are prognostic factors in epithelial ovarian cancer (EOC). Their predictive value for platinum-sensitivity and their role in recurrent EOC are unknown. A total of 375 EOC patients were retrospectively analyzed. The correlation between baseline NLR and SII, and platinum-free interval (PFI) according to first line bevacizumab treatment were analyzed using logistic regression analyses adjusted for baseline patient characteristics. Subsequently NLR and SII calculated before second line treatment initiation were evaluated to identify a potential correlation with progression-free survival (PFS) and overall survival (OS) in platinum-sensitive and in platinum-resistant population. In multivariate analysis, NLR ≥ 3 is an independent predictive factor for PFI at 6 months in the chemotherapy group (OR = 2.77, 95% CI 1.38-5.56, p = 0.004), not in bevacizumab treated patients. After having adjusted for ECOG performance status, histology, ascites, bevacizumab treatment at second line and BRCA status, NLR ≥ 3 and SII ≥ 730 are significantly associated with worse OS in platinum-sensitive (HR = 2.69, 95% CI 1.60-4.53, p = 0.002; HR = 2.11, 95% CI 1.29-3.43, p = 0.003, respectively), not in platinum-resistant EOC patients. Low NLR is an independent predictive factor for platinum-sensitivity in patients treated without bevacizumab. NLR and SII are prognostic factors in recurrent platinum-sensitive EOC patients.

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).

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.

Variation in gynecological oncology follow-up practice: attributable to cancer centers or to patient characteristics? A Piedmont Regional Oncology Network Study.

AIMS AND BACKGROUND: Although guidelines recommend minimalist follow-up, there is wide variability in gynecological oncology practice. The aims of this study were to describe between-center differences in the follow-up of endometrial, ovarian, and uterine cervical cancer; to identify the determinants of test prescription; to estimate the related costs; and to assess the weight of center habits and patient characteristics as sources of unexplained variability. METHODS AND STUDY DESIGN: The medical records of patients treated between August 2004 and July 2005 for gynecological malignancies and followed up for the detection of recurrent disease were retrospectively collected from 29 centers of the Piedmont Oncology Network. Multivariate multilevel analyses were performed to study the determinants of test prescription and costs. RESULTS: Analyses were performed on 351 patients (median follow-up: 578 days). The unexplained variability in computed tomography prescriptions (26%), ultrasound prescriptions (17%), and total cost of follow-up (15%) can be attributed to center habits, independenty of the clinical characteristics of the patients. CONCLUSIONS: Much of the unexplained variability in the follow-up for gynecological malignancies is attributable to different habits of centers belonging to a cancer network. These results prompted us to design a multicenter randomized controlled trial to compare minimalist versus intensive follow-up programs in endometrial cancer.