Background High grade serous ovarian cancer (HGSOC) is highly lethal, partly due to chemotherapy resistance and limited availability of targeted approaches. Cyclin dependent kinases 12 and 13 (CDK12/13) are promising therapeutic targets in human cancers, including HGSOC. Nevertheless, the effects of their inhibition in HGSOC and the potential synergy with other drugs are poorly known. Methods We analyzed the effects of the CDK12/13 inhibitor THZ531 in HGSOC cells and patient-derived organoids (PDOs). RNA sequencing and quantitative PCR analyses were performed to identify the genome-wide effects of short-term CDK12/13 inhibition on the transcriptome of HGSOC cells. Viability assays with HGSOC cells and PDOs were performed to assess the efficacy of THZ531 as single agent or in combination with clinically relevant drugs. Results The CDK12 and CDK13 genes are deregulated in HGSOC and their concomitant up-regulation with the oncogene MYC predicts poor prognosis. HGSOC cells and PDOs display high sensitivity to CDK12/13 inhibition, which synergizes with drugs in clinical use for HGSOC. Transcriptome analyses revealed cancer-relevant genes whose expression is repressed by dual CDK12/13 inhibition through impaired splicing. Combined treatment with THZ531 and inhibitors of pathways regulated by these cancer relevant genes (EGFR, RPTOR, ATRIP) exerted synergic effects on HGSOC PDO viability. Conclusions CDK12 and CDK13 represent valuable therapeutic targets for HGSOC. We uncovered a wide spectrum of CDK12/13 targets as potential therapeutic vulnerabilities for HGSOC. Moreover, our study indicates that CDK12/13 inhibition enhances the efficacy of approved drugs that are already in use for HGSOC or other human cancers.

Gynecological cancers require complex intervention since patients have specific needs to be addressed. Centralization to high-volume centers improves the oncological outcomes of patients with gynecological cancers. Research in gynecological oncology is increasing thanks to modern technologies, from the comprehensive molecular characterization of tumors and individual pathophenotypes. Ongoing studies are focusing on personalizing therapies by integrating information across genomics, proteomics, and metabolomics with the genetic makeup and immune system of the patient. Hence, several challenges must be faced to provide holistic benefit to the patient. Personalized approaches should also recognize the unmet needs of each patient to successfully deliver the promise of personalized care, in a multidisciplinary effort. This may provide the greatest opportunity to improve patients’ outcomes. Starting from a narrative review on gynecological oncology patients’ needs, this article focuses on the experience of building a research and care infrastructure for personalized patient management.

2022-LBA-1282-ESGO Figure 1 Approaches to analysing data from different sources; a) Centralisation. This is the traditional approach, but has several disadvantages such as loss of data control logistics data governance and (most importantly) putting at risk sensitive patient data. b) Federated warring in this docentralised approach, privacy-sensitive patient data are not shared, but kept undisclosed and safe at their original location. Communication within the infrastructure is end-to-end encrypted Abstract 2022-LBA-1282-ESGO Table 1 Risk of lymph node metastases, stratified by the most important risk factors Conclusions LVSI, tumours size and depth of invasion were the most important risk factors of pN+. Based on that, we identified a group at very low risk of pN+, in whom sentinel lymph node mapping should be considered to replace radical pelvic lymphadenectomy.

No abstract

e17579 Background: Comprehensive surgical staging of early epithelial ovarian cancer includes systematic paraaortic and bilateral pelvic lymphadenectomy but its therapeutic role is controversial and it is associated with potential severe morbidity. The feasibility of sentinel lymph-node (SLN) identification in early stage ovarian cancer has been shown only. We did a prospective multicenter study to assess the feasibility, detection rate and diagnostic accuracy of the SLN procedure in predicting the pathological pelvic-node status in patients with early stage ovarian cancer. Methods: This is a phase II single arm study (EUDRACT 2019-001088-58) including patients with presumed stage I-II epithelial ovarian cancer planned for immediate or delayed minimally-invasive comprehensive staging. The ovarian pedicle is injected with 2 mL of a 1.25 mg/mL indocyanine green (ICG) solution. The pelvic and lumbo-aortic retroperitoneum is then accessed and inspected to identify and remove SLNs. Staging is then completed including systematic pelvic and para-aortic lymphadenectomy and an histopathological examination of all nodes is performed. The primary endpoint was estimation of the sensitivity and sensibility of SLN in predicting nodal status. Assuming a sensitivity of 98.5% in predicting positive sentinel lymph nodes at histology, a pathological lymph node prevalence of 14.2%, a precision of estimate (i.e. the maximum marginal error) d=5%, a type I error α = 0.05, a sample size of 141 patients is needed to test the general hypothesis (i.e. to answer whether SLN(s) identified with ICG can accurately predict nodal status at histology of patients with apparently early EOC). Assuming a drop-out rate of 20%, a total of 176 patients will be enrolled in the study. Results: One-hundred and seventy-six patients were included with a drop-out rate of 22%. Sentinel node was identified in 102 patients (detection rate, 58%, [95% CI: 51-65]). There were no clinical differences between patients with successful or unsuccessful mapping. Both the infundibolopelvic ligament and the legamentum ovarii proprium were injected in 29.0% of cases. Twenty-one patients had positive nodes and 71% of them showed successful mapping. Among the latter, a negative sentinel node was identified in 3 patients (Sensitivity 78.6% [95% CI: 57-100]; Specificity 100%; Accuracy 97% [95% CI: 94-100]; PPV 100%; NPV 96,6% [95% CI: 93-100]). Twenty-two (12.5%) intra- and 25 (14.2%) postoperative complications occurred (12 G1; 9 G2; 2 G3, 2 G4). Clinical trial information: EUCTR2019-001088-58 .