Visceral obesity and muscle mass determined by CT scan and surgical outcome in patients with advanced ovarian cancer. A retrospective cohort study.

OBJECTIVE: Visceral obesity (VO) is a risk factor for developing postoperative complications in patients undergoing abdominal oncological surgery. However, in ovarian cancer patients this influence of body composition on postoperative morbidity is not well established. The aim of this study is to assess the association between body composition and complications in patients with advanced ovarian cancer undergoing cytoreductive surgery. METHODS: Patients with FIGO stage 3 or 4 ovarian cancer between 2006 and 2017 were included. Visceral fat area, total skeletal mass and total fat area were measured on a single slice on the level of L3-L4 of the preoperative CT-scan. VO was defined as visceral fat ≥100cm2. The perioperative data were extracted retrospectively. A multivariate logistic regression analysis was performed to test the predictive value of multiple variables such as body composition, albumin levels and preoperative morbidity. RESULTS: 298 consecutive patients out of nine referring hospitals were included. VO patients were more likely to be hypertensive (38% vs 17% p < 0.001), and to have an ASA 3 score (21% vs 10% P = 0.012). Complications occurred more often in VO patients (43% vs 21% P < 0.001). Thrombotic events were found in 4.9% of VO patients versus 0.6% of the non-visceral obese patients (p = 0.019). VO(OR: 4.37, p < 0.001), hypertension (OR:1.9, p = 0.046) and duration of surgery (OR: 1.004, p = 0.017) were predictors of post-surgical complications. Muscle mass is not a predictor of complications. CONCLUSION: Visceral obesity is associated with a higher occurrence of complications in patients with advanced ovarian cancer undergoing cytoreductive surgery.

The effect of adjuvant chemotherapy on survival in patients with FIGO stage I high-grade serous ovarian cancer.

OBJECTIVE: The benefit of adjuvant chemotherapy for FIGO stage I, high-grade serous ovarian cancer (HGSOC) after optimal staging is a matter of debate. We investigated the effect of adjuvant chemotherapy on recurrence-free survival (RFS) and overall survival (OS) in a population-based cohort study. METHODS: All patients diagnosed in the Netherlands between 2002 and 2014 with FIGO stage I HGSOC who underwent surgical staging were included. Data on clinical characteristics, histopathology, completeness of staging and survival were collected from the Netherlands Cancer Registry and Dutch Pathology Registry. Recurrence data was collected from hospital files. We used Kaplan-Meier methods to estimate RFS and OS and Cox-proportional hazard analyses to control for differences in baseline characteristics between patients who did or did not receive chemotherapy. RESULTS: We identified 223 patients who underwent optimal staging procedures including lymph node sampling. Events of disease recurrence occurred in 21 of the 101 patients (21%) who received adjuvant chemotherapy and in 46 of the 122 patients (38%) who did not (multivariable hazard ratio (HR), 0.37; 95%CI 0.22-0.64; p < 0.01). Five-year RFS was 81% after staging plus chemotherapy and 59% after staging only. At a median follow-up of 105 months, 21 patients (21%) in the chemotherapy group and 38 patients (31%) in the no-chemotherapy group had died (multivariable HR 0.50; 95%CI 0.28-0.89; p = 0.02). Ten-year OS was 78% with chemotherapy and 62% without chemotherapy. CONCLUSIONS: Adjuvant chemotherapy improves long-term RFS and OS in patients with FIGO stage I HGSOC after optimal staging.

Semi-physiological Enriched Population Pharmacokinetic Modelling to Predict the Effects of Pregnancy on the Pharmacokinetics of Cytotoxic Drugs.

BACKGROUND AND OBJECTIVE: As a result of changes in physiology during pregnancy, the pharmacokinetics (PK) of drugs can be altered. It is unclear whether under- or overexposure occurs in pregnant cancer patients and thus also whether adjustments in dosing regimens are required. Given the severity of the malignant disease and the potentially high impact on both the mother and child, there is a high unmet medical need for adequate and tolerable treatment of this patient population. We aimed to develop and evaluate a semi-physiological enriched model that incorporates physiological changes during pregnancy into available population PK models developed from non-pregnant patient data. METHODS: Gestational changes in plasma protein levels, renal function, hepatic function, plasma volume, extracellular water and total body water were implemented in existing empirical PK models for docetaxel, paclitaxel, epirubicin and doxorubicin. These models were used to predict PK profiles for pregnant patients, which were compared with observed data obtained from pregnant patients. RESULTS: The observed PK profiles were well described by the model. For docetaxel, paclitaxel and doxorubicin, an overprediction of the lower concentrations was observed, most likely as a result of a lack of data on the gestational changes in metabolizing enzymes. For paclitaxel, epirubicin and doxorubicin, the semi-physiological enriched model performed better in predicting PK in pregnant patients compared with a model that was not adjusted for pregnancy-induced changes. CONCLUSION: By incorporating gestational changes into existing population pharmacokinetic models, it is possible to adequately predict plasma concentrations of drugs in pregnant patients which may inform dose adjustments in this population.

The effect of the peritoneal tumor microenvironment on invasion of peritoneal metastases of high-grade serous ovarian cancer and the impact of NEOADJUVANT chemotherapy.

Peritoneal metastases of high-grade serous ovarian cancer (HGSOC) are small-sized deposits with superficial growth toward the peritoneal cavity. It is unknown whether integrity of the peritoneal elastic lamina (PEL) correlates with the peritoneal tumor microenvironment (pTME) and whether neoadjuvant chemotherapy (NACT) affects the pTME. We explored integrity of PEL, composition of pTME, effects of NACT, and the prognostic implications in patients with extensive peritoneal metastases of HGSOC. Peritoneal samples (n = 69) were collected during cytoreductive surgery between 2003 and 2016. Clinical data were collected from medical charts. Integrity of PEL was evaluated with elastic stains. T cell (CD3, CD8) and M2-macrophage markers (CD163) were scored using algorithms created in definiens tissue studio. Patients with a disrupted PEL (n = 39; 57%), more often had residual disease after surgery (p = 0.050), compared to intact PEL. An intact PEL was associated with increased intraepithelial (ie) CD8+ cells (p = 0.032), but was not correlated with improved survival. After NACT, increased ieCD3+ cells were shown, compared to no-NACT (p = 0.044). Abundance of total CD3+ and CD8+ cells were associated with PFS (multivariate HR 0.40; 95%CI 0.23-0.69 and HR 0.49; 95%CI 0.29-0.83) and OS (HR 0.33; 95%CI 0.18-0.62 and HR 0.36; 95%CI 0.20-0.64). M2-macrophage infiltration was not correlated with survival. NACT increases abundance of ieCD3+ cells in peritoneal metastases of HGSOC. Increase of CD3+ and CD8+ cells is associated with improved PFS and OS. This suggests that CD3+ and CD8+ cells may function as prognostic biomarkers. Their role as predictive biomarker for chemotherapy or immunotherapy response in HGSOC warrants further research.