Aim of databaseThe Danish Gynecological Cancer Database (DGCD) is a nationwide clinical cancer database and its aim is to monitor the treatment quality of Danish gynecological cancer patients, and to generate data for scientific purposes. DGCD also records detailed data on the diagnostic measures for gynecological cancer.Study populationDGCD was initiated January 1, 2005, and includes all patients treated at Danish hospitals for cancer of the ovaries, peritoneum, fallopian tubes, cervix, vulva, vagina, and uterus, including rare histological types.Main variablesDGCD data are organized within separate data forms as follows: clinical data, surgery, pathology, pre- and postoperative care, complications, follow-up visits, and final quality check. DGCD is linked with additional data from the Danish “Pathology Registry”, the “National Patient Registry”, and the “Cause of Death Registry” using the unique Danish personal identification number (CPR number).Descriptive dataData from DGCD and registers are available online in the Statistical Analysis Software portal. The DGCD forms cover almost all possible clinical variables used to describe gynecological cancer courses. The only limitation is the registration of oncological treatment data, which is incomplete for a large number of patients.ConclusionThe very complete collection of available data from more registries form one of the unique strengths of DGCD compared to many other clinical databases, and provides unique possibilities for validation and completeness of data. The success of the DGCD is illustrated through annual reports, high coverage, and several peer-reviewed DGCD-based publications.

Our results confirm the positive prognostic impact of both complete cytoreduction and residual disease ≤1 cm in stages IIIB-IIIC as well as stage IV epithelial ovarian cancer. Women with stage IV do benefit from cytoreductive surgery and should be considered for primary debulking surgery, if residual disease = 0 can initially be expected.

The majority of ovarian cancer patients with advanced disease at diagnosis will relapse following primary treatment, with a dismal prognosis. Monitoring the levels of serum markers in patients under follow-up may be essential for the early detection of relapse, and for distinguishing high-risk patients from those with less aggressive disease. The aim of the present study was to investigate the possible predictive value of human epididymis protein 4 (HE4) and carbohydrate antigen 125 (CA125) in relation to recurrence of epithelial ovarian cancer by measuring the two markers during follow-up subsequent to surgery and adjuvant first-line carboplatin/paclitaxel chemotherapy. Serum HE4 and CA125 were analyzed in 88 epithelial ovarian cancer patients at the end of treatment and consecutively during follow-up. The patients were divided into a high-risk and a low-risk group based on having an increase in HE4 and CA125 levels above or below 50% during follow-up, relative to the baseline (end-of-treatment) level. Disease recurrence was detected in 55 patients during follow-up. Patients with an increase in HE4 of >50% at 3- and 6-month follow-up compared to the end-of-treatment sample had significantly poorer progression-free survival (PFS) [hazard ratio (HR), 2.82 (95% CI, 0.91–8.79; P=0.0052) and HR, 7.71 (95% CI, 3.03–19.58; P<0.0001), respectively]. The corresponding 3- and 6-month biomarker assessments for increased CA125 levels (>50%) showed HRs of 1.86 (95% CI, 0.90–3.80; P=0.0512) and 2.55 (95% CI, 1.39–4.68; P=0.0011), respectively. Multivariate analysis confirmed HE4 as a predictor of short PFS, with an HR of 8.23 (95% CI, 3.28–20.9; P<0.0001) at 6-month follow-up. The increase of CA125 was not a significant prognostic factor in multivariate analysis for PFS. In conclusion, HE4 appears to be a sensitive marker of recurrence and instrumental in risk assessment during the first 6 months of follow-up.

ObjectiveProgrammed death ligand 1 (PD-L1) expression affects tumor evasion of immune surveillance. The prognostic value and relationship of PD-L1 expression to T-cell–inflamed immune signatures in ovarian cancer are unclear. The purpose of this study is to evaluate the impact of PD-L1 on overall survival and its correlation with an immune-mediated gene expression profile in patients with advanced ovarian cancer.MethodsPD-L1 expression in tumor and immune cells was assessed by immunohistochemistry, and PD-L1–positive expression was defined as a combined positive score ≥1; a T-cell–inflamed gene expression profile containing interferon γ response genes was evaluated using extracted RNA from surgical samples. Associations between PD-L1 expression, gene expression profile status, and overall survival were analyzed using the Kaplan-Meier method, log-rank test, and multivariate Cox proportional hazards regression models.ResultsA total of 376 patients with advanced epithelial ovarian, primary peritoneal, or fallopian tube cancer treated by cytoreductive surgery and platinum-based therapy were included. PD-L1–positive expression was observed in 50.5% of patients and associated with more advanced stage (p=0.047), more aggressive histologic subtype (p=0.001), and platinum sensitivity defined by increasing treatment-free interval from first platinum-based chemotherapy to next systemic treatment (p=0.027). PD-L1–positive expression was associated with longer overall survival in multivariate analyses (adjusted HR 0.72, 95% CI 0.56 to 0.93). In subgroup analyses, this association was most pronounced in patients with partially platinum-sensitive disease (treatment-free interval ≥6 to <12 months). T-cell–inflamed gene expression profile status correlated with PD-L1 expression (Spearman, ρ=0.712) but was not an independent predictor of overall survival.ConclusionPD-L1 expression is associated with longer overall survival among advanced ovarian cancer patients. PD-L1 expression may be an independent prognostic biomarker.