Digital decision support for structural improvement of melanoma tumor boards: using standard cases to optimize workflow.

PURPOSE: Choosing optimal cancer treatment is challenging, and certified cancer centers must present all patients in multidisciplinary tumor boards (MDT). Our aim was to develop a decision support system (DSS) to provide treatment recommendations for apparently simple cases already at conference registration and to classify these as "standard cases". According to certification requirements, discussion of standard cases is optional and would thus allow more time for complex cases. METHODS: We created a smartphone query that simulated a tumor conference registration and requested all information needed to provide a recommendation. In total, 111 out of 705 malignant melanoma cases discussed at a skin cancer center from 2017 to 2020 were identified as potential standard cases, for which a digital twin recommendation was then generated by DSS. RESULTS: The system provided reliable advice in all 111 cases and showed 97% concordance of MDT and DSS for therapeutic recommendations, regardless of tumor stage. Discrepancies included two cases (2%) where DSS advised discussions at MDT and one case (1%) with deviating recommendation due to advanced patient age. CONCLUSIONS: Our work aimed not to replace clinical expertise but to alleviate MDT workload and enhance focus on complex cases. Overall, our DSS proved to be a suitable tool for identifying standard cases as such, providing correct treatment recommendations, and thus reducing the time burden of tumor conferences in favor for the comprehensive discussion of complex cases. The aim is to implement the DSS in routine tumor board software for further qualitative assessment of its impact on oncological care.

Early treatment with FCR versus watch and wait in patients with stage Binet A high-risk chronic lymphocytic leukemia (CLL): a randomized phase 3 trial.

We report a randomized prospective phase 3 study (CLL7), designed to evaluate the efficacy of fludarabine, cyclophosphamide, and rituximab (FCR) in patients with an early-stage high-risk chronic lymphocytic leukemia (CLL). Eight hundred patients with untreated-stage Binet A disease were enrolled as intent-to-treat population and assessed for four prognostic markers: lymphocyte doubling time <12 months, serum thymidine kinase >10 U/L, unmutated IGHV genes, and unfavorable cytogenetics (del(11q)/del(17p)/trisomy 12). Two hundred and one patients with ≥2 risk features were classified as high-risk CLL and 1:1 randomized to receive either immediate therapy with 6xFCR (Hi-FCR, 100 patients), or to be observed according to standard of care (Hi-W&W, 101 patients). The overall response rate after early FCR was 92.7%. Common adverse events were hematological toxicities and infections (61.0%/41.5% of patients, respectively). After median observation time of 55.6 (0-99.2) months, event-free survival was significantly prolonged in Hi-FCR compared with Hi-W&W patients (median not reached vs. 18.5 months, p < 0.001). There was no significant overall survival benefit for high-risk patients receiving early FCR therapy (5-year OS 82.9% in Hi-FCR vs. 79.9% in Hi-W&W, p = 0.864). In conclusion, although FCR is efficient to induce remissions in the Binet A high-risk CLL, our data do not provide evidence that alters the current standard of care "watch and wait" for these patients.

Risk-Adapted Therapy in Early-Stage Chronic Lymphocytic Leukemia.

Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults and usually affects the elderly patient. More than 50% of CLL cases are diagnosed at an early disease stage, often as an incidental lymphocytosis found in a routine blood screen. For about 40 years, the classifications according to Binet or Rai have been the hands-on staging systems to stratify patients in daily clinical practice. An increasing molecular understanding of the disease and the identification of strong prognostic markers, such as genetic lesions in TP53, have urged clinical scientists to create new scoring systems that improve prognostic risk assessment and treatment allocation. Until today, studies on early treatment interventions in asymptomatic patients using single chemo- or combined chemoimmunotherapy have failed to demonstrate a survival benefit. However, improved risk stratification tools integrating molecular disease features and the availability of new targeted drugs with attractive efficacy and limited toxicity might open new possibilities to re-investigate early treatment in well-defined clinical settings in the future.