Yumi Lee

Adherence of PARP inhibitor for frontline maintenance therapy in primary epithelial ovarian cancer: a cross-sectional survey

To identify the adherence rate to poly (ADP-ribose) polymerase (PARP) inhibitors and identify factors contributing to the deterioration of adherence at our institution. The adherence rate to PARP inhibitors was calculated using self-reported Adherence to Refills and Medications Scale questionnaires from a cross-sectional survey. Multivariable logistic regression analysis was performed to identify the factors that affected adherence. Of the 131 respondents, 32 (24.4%) showed non-adherence to PARP inhibitors. In the multivariable logistic regression analysis, unemployed or retired status (odds ratio [OR]=4.878; 95% confidence interval [CI]=1.528-15.572; p=0.008), patients receiving niraparib (OR=3.387; 95% CI=1.283-8.940; p=0.014), and a lower score on the quality-of-life assessment (EORTC-QLQ-OV28), which reflects a better quality of life (QOC) with a lower symptom burden (OR=1.056; 95% CI=1.027-1.086; p<0.001) were associated with high adherence to PARP inhibitors. Approximately one-fourth of patients with ovarian cancer are non-adherent to PARP inhibitors as maintenance treatment for newly diagnosed advanced ovarian cancer. The occupational status, type of PARP inhibitor, and QOC may affect adherence to PARP inhibitors.

Quality of life outcomes from the randomized trial of hyperthermic intraperitoneal chemotherapy following cytoreductive surgery for primary ovarian cancer (KOV-HIPEC-01)

To investigate the health-related quality of life (HRQOL) related to hyperthermic intraperitoneal chemotherapy (HIPEC) following primary or interval cytoreductive surgery for primary ovarian cancer. Between 2010 and 2016, a total of 184 patients were randomly assigned to receive cytoreductive surgery with HIPEC (n=92) or without HIPEC (n=92). Quality of life (QOL) assessment was evaluated at baseline (before surgery); on postoperative day 7; after the 3rd and 6th cycle of adjuvant chemotherapy; and at 3, 6, 9, and 12 months after randomization. Patient-reported QOL was assessed using the European Organization for Research and Treatment of Cancer (EORTC) core questionnaire (EORTC-QLQ-C30), ovarian cancer questionnaire modules (QLQ-OV28), and the MD Anderson Symptoms Inventory (MDASI). Of the 184 patients enrolled, 165 (83/92 in the HIPEC group and 82/92 in the control group) participated in the baseline QOL assessment. There were no statistically significant differences in functional scales and symptom scales in QLQ-C30; symptom scales, including gastrointestinal symptoms QLQ-OV28; and severity and impact score in MDASI between the 2 treatment groups until 12 months after randomization. HIPEC with cytoreductive surgery showed no statistically significant difference in HRQOL outcomes. Thus, implementation of HIPEC during either primary or interval cytoreductive surgery does not impair HRQOL. ClinicalTrials.gov Identifier: NCT01091636.

Intraoperative Hyperthermic Intraperitoneal Chemotherapy With Ovarian Cancer

The current standard treatment for ovarian cancer, tubal cancer, and primary peritoneal cancer is maximal cytoreductive surgery followed by chemotherapy. Recent randomized trials of Gynecologic Oncology Group (GOG) revealed the survival gain in intraperitoneal chemotherapy compared to the intravenous chemotherapy after the optimal cytoreduction in ovarian cancer (GOG#104, GOG#114, GOG#172). Experts attributed such survival gain to the earlier cycles of intraperitoneal chemotherapy when adhesion was minimal from extensive cytoreductive procedures. Hyperthermia has an anti-cancer activity itself. Especially, hyperthermia promotes chemotherapy to penetrate deeper into the cancer tissue. Therefore, the combination of intraperitoneal chemotherapy with hyperthermia theoretically could lead to higher response rate and better survival outcomes. \*HIPEC: hyperthermic intraperitoneal chemotherapy There will be an interim analysis when 50% of patients are enrolled. At the interim analysis, a statistical test will be performed. The nominal significance levels will be determined later. The exact nominal significance level will be determined based on the exact number of events at the time of the interim analysis. The Stopping boundaries will be calculated using an O'Brien-Fleming error spending function