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Abstract Given the limited data on the real‐life therapeutic use of feline McDonough sarcoma (FMS)‐like tyrosine kinase 3 (FLT3) inhibitors in Italy, we surveyed investigators at 59 Italian hematology centers to gain insight into the proportion of acute myeloid leukemia (AML) patients receiving FLT3 inhibitors and we collected data on the efficacy and safety of these agents. The survey results showed that in the real‐life setting the response rate of the 3/7 + midostaurin regimen in newly diagnosed FLT3‐mutated AML and of gilteritinib in the relapsed/refractory AML were comparable to that reported in the registrative clinical trials. The 3/7 + midostaurin treatment resulted in a 63% of complete remission (CR) rates and gilteritinib in a 44% of CR rates. The discontinuation rate of gilteritinib for intolerance or toxicity was low (accounting for 4% of treated cases).

Abstract Artificial Intelligence has the potential to reshape the landscape of clinical trials through innovative applications, with a notable advancement being the emergence of synthetic patient generation. This process involves simulating cohorts of virtual patients that can either replace or supplement real individuals within trial settings. By leveraging synthetic patients, it becomes possible to eliminate the need for obtaining patient consent and creating control groups that mimic patients in active treatment arms. This method not only streamlines trial processes, reducing time and costs but also fortifies the protection of sensitive participant data. Furthermore, integrating synthetic patients amplifies trial efficiency by expanding the sample size. These straightforward and cost‐effective methods also enable the development of personalized subject‐specific models, enabling predictions of patient responses to interventions. Synthetic data holds great promise for generating real‐world evidence in clinical trials while upholding rigorous confidentiality standards throughout the process. Therefore, this study aims to demonstrate the applicability and performance of these methods in the context of onco‐hematological research, breaking through the theoretical and practical barriers associated with the implementation of artificial intelligence in medical trials.

The GIMEMA phase II LLC1518 VERITAS trial investigated the efficacy and safety of front-line, fixed-duration venetoclax and rituximab (VenR) in combination in young (≤65 years), fit patients with chronic lymphocytic leukemia and unmutated IGHV and/or TP53 disruption. Treatment consisted of the venetoclax ramp-up, six monthly courses of the VenR combination, followed by six monthly courses of venetoclax as a single agent. A centralized assessment of minimal residual disease (MRD) was performed by allele-specific oligonucleotide polymerase chain reaction assay on the peripheral blood and bone marrow at the end of treatment (EOT) and during the follow-up. The primary endpoint was the complete remission rate at the EOT. Seventy-five patients were enrolled; the median age was 54 years (range, 38-65), 96% had unmutated IGHV, 12% had TP53 disruption, and 4% had mutated IGHV with TP53 disruption. The overall response rate at the EOT was 94.7%, with a complete remission rate of 76%. MRD was undetectable in the peripheral blood of 69.3% of patients and in the bone marrow of 58.7% of patients. The 12-month MRD-free survival in the 52 patients with undetectable MRD in the peripheral blood at the EOT was 73.1%. After a median follow-up of 20.8 months, no cases of disease progression were observed. Three patients had died, two due to COVID-19 and one due to tumor lysis syndrome. The first report of the VERITAS study shows that front-line VenR was associated with a high rate of complete remissions and durable response with undetectable MRD in young patients with chronic lymphocytic leukemia and unfavorable genetic characteristics. ClinicalTrials.gov identifier: NCT03455517.

Regulation (EU) No 536/2014 (Clinical Trial Regulation, CTR) offers two precious tools to academic clinical research in Italy:- The right to transfer not-for-profit clinical trials data and results for registration purposes, and co-sponsorship.- The right to transfer data reduces the time needed to make innovative therapeutical agents and therapies accessible to the patient.Co-sponsorship, on the other hand, allows the establishment of a partnership between entities with different missions, ideals and attitudes, sharing – nevertheless - the same ultimate goal: meeting the patient's medical needs. Co-sponsorship facilitates collaboration among experts, which allows knowledge sharing, thus guaranteeing, to each contributor, recognition for their own contributions to a complex activity such as a clinical trial.However, the above-mentioned Regulation poses important challenges, especially in terms of infrastructural efficiency, which is demanding, especially for those entities suffering organizational inadequacies: unfortunately, inefficiency is sometimes a structural problem in the academic clinical environment. This publication focuses on the specific innovative aspects introduced by CTR. It also highlights the possible difficulties to be addressed by their implementation.