Cancer predictive studies

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AMELIO, Ivano, Riccardo BERTOLO, Pierluigi BOVE, Eleonora CANDI, Marcello CHIOCCHI, Chiara CIPRIANI, Nicola DI DANIELE, Carlo GANINI, Hartmut JUHL, Gerry MELINO, 2020. Cancer predictive studies. In: Biology Direct. BioMed Central. 15, 18. eISSN 1745-6150. Available under: doi: 10.1186/s13062-020-00274-3

@article{Amelio2020Cance-56994, title={Cancer predictive studies}, year={2020}, doi={10.1186/s13062-020-00274-3}, volume={15}, journal={Biology Direct}, author={Amelio, Ivano and Bertolo, Riccardo and Bove, Pierluigi and Candi, Eleonora and Chiocchi, Marcello and Cipriani, Chiara and Di Daniele, Nicola and Ganini, Carlo and Juhl, Hartmut and Melino, Gerry}, note={Article Number: 18} }

2022-03-25T08:19:52Z Juhl, Hartmut Di Daniele, Nicola Amelio, Ivano 2022-03-25T08:19:52Z Melino, Gerry Bove, Pierluigi Cipriani, Chiara Cipriani, Chiara Juhl, Hartmut Cancer predictive studies Ganini, Carlo Candi, Eleonora Chiocchi, Marcello Bertolo, Riccardo 2020 Bove, Pierluigi Candi, Eleonora Bertolo, Riccardo eng The identification of individual or clusters of predictive genetic alterations might help in defining the outcome of cancer treatment, allowing for the stratification of patients into distinct cohorts for selective therapeutic protocols. Neuroblastoma (NB) is the most common extracranial childhood tumour, clinically defined in five distinct stages (1-4 & 4S), where stages 3-4 define chemotherapy-resistant, highly aggressive disease phases. NB is a model for geneticists and molecular biologists to classify genetic abnormalities and identify causative disease genes. Despite highly intensive basic research, improvements on clinical outcome have been predominantly observed for less aggressive cancers, that is stages 1,2 and 4S. Therefore, stages 3-4 NB are still complicated at the therapeutic level and require more intense fundamental research. Using neuroblastoma as a model system, here we herein outline how cancer prediction studies can help at steering preclinical and clinical research toward the identification and exploitation of specific genetic landscape. This might result in maximising the therapeutic success and minimizing harmful effects in cancer patients. Attribution 4.0 International Ganini, Carlo Melino, Gerry Amelio, Ivano Di Daniele, Nicola Chiocchi, Marcello

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