Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia
B-cell Acute Lymphoblastic Leukemia is the most prevalent form of childhood cancer, with approximately 15% of patients undergoing relapse after initial treatment. Further advancements depend on novel therapies and more precise risk stratification criteria. In the context of computational flow cytometry and machine learning, this paper aims to explore the potential prognostic value of flow cytometry data at diagnosis, a relatively unexplored direction for relapse prediction in this disease. To this end, we collected a dataset of 252 patients from three hospitals and implemented a comprehensive pipeline for multicenter data integration, feature extraction, and patient classification, comparing the results with existing algorithms from the literature. The analysis revealed no significant differences in immunophenotypic patterns between relapse and non-relapse patients and suggests the need for alternative approaches to handle flow cytometry data in relapse prediction.
Authors
- Ana Castillo Robleda
- Juan F. Rodríguez Gutiérrez
- Manuel Ramı́rez (ORCID: https://orcid.org/0000-0003-0332-6973)
- M. Rosa (ORCID: https://orcid.org/0000-0003-3069-5651)
- Águeda Molinos Quintana
- María Victoria Martínez Sánchez
- Cristina Blázquez Goñi (ORCID: https://orcid.org/0000-0002-4144-2281)
- Eva Gálvez de la Villa
- Ana Niño-López (ORCID: https://orcid.org/0000-0003-3297-5016)
- Alfredo Minguela (ORCID: https://orcid.org/0000-0003-2472-5893)
- Victor M. Pérez-Garcı́a (ORCID: https://orcid.org/0000-0002-6575-495X)
- Salvador Chulián
- Teresa Caballero‐Velázquez (ORCID: https://orcid.org/0000-0001-7487-3793)
- Rocío Picón-González
- Alvaro A. Martinez (ORCID: https://orcid.org/0000-0003-1712-2971)
- J.L. Fuster Soler
Institutions
- Universidad de Cádiz (ES)
- Hospital Infantil Universitario Niño Jesús (ES)
- Biomedical Research and Innovation Institute of Cadiz (ES)
- Instituto de Biomedicina de Sevilla (ES)
- Instituto Murciano de Investigación Biosanitaria (ES)
- Hospital Universitario Virgen del Rocío (ES)
- Hospital Jerez Puerta del Sur (ES)
- University of Castilla-La Mancha (ES)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.109831
- Citations
- 5
- Primary Topic
- Acute Lymphoblastic Leukemia research
- Type
- article
- Field-Weighted Citation Impact
- 9.39
Funders
- Ministerio de Ciencia e Innovación
- Universidad de Castilla-La Mancha
- Fundación Española para la Ciencia y la Tecnología