by Keyword: Functional assay
Manzano-Muñoz A, Yeste J, Ortega MA, Samitier J, Ramón-Azcón J, Montero J, (2024). A New Microfluidic Device to Facilitate Functional Precision Medicine Assays Crispr Knock-Ins In Organoids To Track Tumor Cell Subpopulations 2748, 99-108
Functional precision medicine (FPM) has emerged as a new approach to improve cancer treatment. Despite its potential, FPM assays present important limitations such as the number of cells and trained personnel required. To overcome these impediments, here we describe a novel microfluidic platform that can be used to perform FPM assays, optimizing the use of primary cancer cells and simplifying the process by using microfluidics to automatize the process.© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
JTD Keywords: Bioassay, Biological assay, Cancer treatment, Functional assays, Lab-on-a-chip devices, Microfluidics, Personalized medicine, Precision medicine
Velasco, P, Bautista, F, Rubio, A, Aguilar, Y, Rives, S, Dapena, JL, Pérez, A, Ramirez, M, Saiz-Ladera, C, Izquierdo, E, Escudero, A, Camós, M, Vega-Garcia, N, Ortega, M, Hidalgo-Gomez, G, Palacio, C, Menéndez, P, Bueno, C, Montero, J, Romecín, PA, Zazo, S, Alvarez, F, Parras, J, Ortega-Sabater, C, Chulián, S, Rosa, M, Cirillo, D, García, E, García, J, Manzano-Muñoz, A, Minguela, A, Fuster, JL, (2023). The relapsed acute lymphoblastic leukemia network (ReALLNet): a multidisciplinary project from the spanish society of pediatric hematology and oncology (SEHOP) Frontiers In Pediatrics 11, 1269560 
Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with survival rates exceeding 85%. However, 15% of patients will relapse; consequently, their survival rates decrease to below 50%. Therefore, several research and innovation studies are focusing on pediatric relapsed or refractory ALL (R/R ALL). Driven by this context and following the European strategic plan to implement precision medicine equitably, the Relapsed ALL Network (ReALLNet) was launched under the umbrella of SEHOP in 2021, aiming to connect bedside patient care with expert groups in R/R ALL in an interdisciplinary and multicentric network. To achieve this objective, a board consisting of experts in diagnosis, management, preclinical research, and clinical trials has been established. The requirements of treatment centers have been evaluated, and the available oncogenomic and functional study resources have been assessed and organized. A shipping platform has been developed to process samples requiring study derivation, and an integrated diagnostic committee has been established to report results. These biological data, as well as patient outcomes, are collected in a national registry. Additionally, samples from all patients are stored in a biobank. This comprehensive repository of data and samples is expected to foster an environment where preclinical researchers and data scientists can seek to meet the complex needs of this challenging population. This proof of concept aims to demonstrate that a network-based organization, such as that embodied by ReALLNet, provides the ideal niche for the equitable and efficient implementation of "what's next" in the management of children with R/R ALL.© 2023 Velasco, Bautista, Rubio, Aguilar, Rives, Dapena, Pérez, Ramirez, Saiz-Ladera, Izquierdo, Escudero, Camós, Vega-Garcia, Ortega, Hidalgo-Gómez, Palacio, Menéndez, Bueno, Montero, Romecín, Zazo, Alvarez, Parras, Ortega-Sabater, Chulián, Rosa, Cirillo, García, García, Manzano-Muñoz, Minguela and Fuster.
JTD Keywords: artificial intelligence, cancer registry, children, discovery, functional assay, outcomes, precision medicine, risk-factors, Artificial intelligence, B-cell precursor, Cancer registry, Functional assay, Precision medicine, Relapsed acute lymphoblastic leukemia
