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To achieve clinical impact in daily oncological practice, emerging AI-based cancer imaging research needs to have clearly defined medical focus, AI methods, and outcomes to be estimated. AI-supported cancer imaging should predict major relevant clinical endpoints, aiming to extract associations and draw inferences in a fair, robust, and trustworthy way. AI-assisted solutions as medical devices, developed using multicenter heterogeneous datasets, should be targeted to have an impact on the clinical care pathway. When designing an AI-based research study in oncologic imaging, ensuring clinical impact in AI solutions requires careful consideration of key aspects, including target population selection, sample size definition, standards, and common data elements utilization, balanced dataset splitting, appropriate validation methodology, adequate ground truth, and careful selection of clinical endpoints. Endpoints may be pathology hallmarks, disease behavior, treatment response, or patient prognosis. Ensuring ethical, safety, and privacy considerations are also mandatory before clinical validation is performed. The Artificial Intelligence for Health Imaging (AI4HI) Clinical Working Group has discussed and present in this paper some indicative Machine Learning (ML) enabled decision-support solutions currently under research in the AI4HI projects, as well as the main considerations and requirements that AI solutions should have from a clinical perspective, which can be adopted into clinical practice. If effectively designed, implemented, and validated, cancer imaging AI-supported tools will have the potential to revolutionize the field of precision medicine in oncology.

Càncer; Biologia molecular; Oncologia Cancer; Molecular biology; Oncology Cáncer; Biología molecular; Oncología The poly (ADP-Ribose) polymerase (PARP) inhibitor olaparib has shown antitumor activity in patients with ovarian or breast cancer with or without BRCA1/2 mutations. Lurbinectedin is an ecteinascidin that generates DNA double-strand breaks. We hypothesized that the combination of olaparib and lurbinectedin maximizes the DNA damage increasing the efficacy. A 3 + 3 dose-escalation study examined olaparib tablets with lurbinectedin every 21 days. The purpose of this phase I study is to determine the dose-limiting toxicities (DLTs) of the combination, to investigate the maximum tolerated dose (MTD), the recommended phase II dose (RP2D), efficacy, pharmacokinetics, in addition to genotyping and translational studies. In total, 20 patients with ovarian and endometrial cancers were included. The most common adverse events were asthenia, nausea, vomiting, constipation, abdominal pain, neutropenia, anemia. DLT grade 4 neutropenia was observed in two patients in dose level (DL) 5, DL4 was defined as the MTD, and the RP2D was lurbinectedin 1.5 mg/m2 + olaparib 250 mg twice a day (BID). Mutational analysis revealed a median of 2 mutations/case, 53% of patients with mutations in the homologous recombination (HR) pathway. None of the patients reached a complete or partial response; however, 60% of stable disease was achieved. In conclusion, olaparib in combination with lurbinectedin was well tolerated with a disease control rate of 60%. These results deserve further evaluation of the combination in a phase II trial. This trial was sponsored by AstraZeneca and PharmaMar, including supply of study drugs.

Debulking surgery, followed by taxane/platinum-based chemotherapy has traditionally been the first-line treatment for advanced ovarian cancer. However, most patients will experience recurrence afterwards, and receive subsequent lines of therapy. It has been proposed that extending the treatment-free interval of platinum can improve the response to a subsequent platinum-based chemotherapy, and reduce associated toxicities in women with recurrent, platinum-sensitive ovarian cancer. The aim was to determine the impact, in clinical practice, of trabectedin with pegylated liposomal doxorubicin (trabectedin/PLD) on the subsequent platinum-based therapy in these patients, and to explore the prognosis for breast cancer gene status and the expression of diverse genes. This was a multicenter, retrospective, postauthorization study that involved 79 patients. Germline or somatic mutations of breast cancer gene 1/2 were present in 21.5%. The median time between trabectedin/PLD and the onset of the subsequent treatment was 6.7 months. The overall response rate during the trabectedin/PLD period was 36.7%. In the subsequent first-line platinum-based therapy, the overall response rate was 51.4%. Progression-free survival and overall survival were 11.8 and 25.4 months, respectively, from the onset of trabectedin/PLD treatment. Partially platinum-sensitive (between 6 and 12 months) and platinum-sensitive patients (treatment-free interval of platinum >= 12 months) showed no differences in progression-free survival and overall survival. Grade 3 neutropenia and asthenia were reported in 15.2 and 10.1% of patients, respectively. Most frequent adverse events in more than 10% of patients were neutropenia (45.6%), asthenia (43.0%), nausea (25.3%), and anemia (13.9%). The intercalation with a nonplatinum regimen may improve the response to a subsequent platinum-based therapy in women with recurrent, platinum-sensitive ovarian cancer.

e17061Background: Ovarian carcinoma represents a heterogeneous group of disease. Clear cell carcinoma (CCC), an infrequent subtype, presents particular clinical characteristics and genetic profiles...

e17060Background: Homologous recombination deficiency (HRD) is a major prognostic and predictive factor in High Grade Serous Ovarian Carcinoma (HGSOC). Konstantinopoulos et al. (JCO 2010) defined a...

e16516 Background: Endometrial cancer associated to Lynch Syndrome (EC-LS) is rare and several criteria are currently used to identify them; our aim is to compare several diagnostic methods and exp...