Multidisciplinary Surgical Approach to Increase Survival for Advanced Ovarian Cancer in a Tertiary Gynaecological Oncology Centre.

PURPOSE: The purpose of this paper is to report on changes in overall survival, progression-free survival, and complete cytoreduction rates in the 5-year period after the implementation of a multidisciplinary surgical team (MDT). METHODS: Two cohorts were used. Cohort A was a retrospectively collated cohort from 2006 to 2015. Cohort B was a prospectively collated cohort of patients from January 2017 to September 2021. RESULTS: This study included 146 patients in cohort A (2006-2015) and 174 patients in cohort B (2017-2021) with FIGO stage III/IV ovarian cancer. Median follow-up in cohort A was 60 months and 48 months in cohort B. The rate of primary cytoreductive surgery increased from 38% (55/146) in cohort A to 46.5% (81/174) in cohort B. Complete macroscopic resection increased from 58.9% (86/146) in cohort A to 78.7% (137/174) in cohort B (p < 0.001). At 3 years, 75% (109/144) patients had disease progression in cohort A compared with 48.8% (85/174) in cohort B (log-rank, p < 0.001). Also at 3 years, 64.5% (93/144) of patients had died in cohort A compared with 24% (42/174) of cohort B (log-rank, p < 0.001). Cox multivariate analysis demonstrated that MDT input, residual disease, and age were independent predictors of overall (hazard ratio [HR] 0.29, 95% confidence interval [CI] 0.203-0.437, p < 0.001) and progression-free survival (HR 0.31, 95% CI 0.21-0.43, p < 0.001). Major morbidity remained stable throughout both study periods (2006-2021). CONCLUSIONS: Our data demonstrate that the implementation of multidisciplinary-team, intraoperative approach allowed for a change in surgical philosophy and has resulted in a significant improvement in overall survival, progression-free survival, and complete resection rates.

Multi-omics in high-grade serous ovarian cancer: Biomarkers from genome to the immunome.

Epithelial ovarian cancer (EOC) is a lethal gynaecological disease that imposes significant burden on health care and patient quality of life. High-grade serous carcinoma of the ovary (HGSC) is the most prevalent histological type of EOC. A vast majority of HGSC cases are diagnosed at late stages of the disease, limiting the opportunity for clinical intervention and resulting in a 10-year survival rate of <20%. Recent innovations in high-throughput molecular analysis of patient-derived specimens may address these clinical challenges by providing an enhanced understanding of the molecular aetiology of ovarian cancer, in addition to offering several opportunities for rational biomarker and targeted therapy discovery. In this review, we highlight the most significant contributions of omics approaches and how the advent of immunomics can aid in personalized combination chemo-immunotherapy in ovarian cancer treatment. We further provide insights into immunogenomic correlates of pre-treatment tumour immune microenvironment and some of the potential interpretations of immunomic data that require further validation, based on stromal and immune contributions to biomarker signatures. We believe a comprehensive integrative approach via meta-analysis of large ovarian cancer molecular profiling data sets is urgently needed to define robust prognostic and predictive classifiers of disease progression and treatment response. These investigations will inform rationalized biomarker-driven combination chemo-immunotherapy trials for improving response and survival of ovarian cancer patients.

CXCL10 alters the tumour immune microenvironment and disease progression in a syngeneic murine model of high-grade serous ovarian cancer.

OBJECTIVE: We recently established that high STAT1 expression and associated T helper type I tumour immune microenvironment (TME) are prognostic and chemotherapy response predictive biomarkers in high-grade serous ovarian cancer (HGSC). STAT1 induced chemokine CXCL10 is key to the recruitment of lymphocytes in the TME and is significantly highly expressed in the tumours from patients with longer survival. In the current study we therefore aimed to elucidate the role CXCL10 in disease progression and tumour immune transcriptomic alterations using the ID8 syngeneic murine model of HGSC. METHODS: ID8 ovarian cancer cells were engineered for stable knockdown (KD) and overexpression (OX) of CXCL10. The OX and KD cell line derivatives, along with their respective vector controls, were implanted in immunocompetent C57BL/6 mice via intra-peritoneal injections. At end point, immune transcriptomic profiling of tumour tissues and multiplex cytokine profiling of ascites, was performed. Effect of CXCL10 expression on the tumour vasculature and tumour cell proliferation was evaluated by CD31 and Ki67 immunostaining, respectively. RESULTS: Increased CXCL10 expression led to decreased tumour burden and malignant ascites accumulation in the ID8 syngeneic murine model of HGSC. The ascites levels of IL-6 and VEGF were significantly reduced in OX mice compared to the vector controls. The OX tumours also showed reduced vasculature (CD31) and proliferative index (Ki67) compared to the control tumours. Significantly higher expression of genes associated with antigen processing, apoptosis and T cell function was observed in OX tumours compared to the controls. Reduced CXCL10 expression in tumours from KD mice led to increased ascites accumulation and disease progression compared to the controls. CONCLUSION: CXCL10 is a positive determinant of anti-tumour immune responses in HGSC TME and disease progression. These findings are foundational for future translational studies aimed at improving treatment response and survival in HGSC patients, via exploiting the TME.