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Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features

Title: Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features
Authors: Terragna C.; Poletti A.; Solli V.; Martello M.; Zamagni E.; Pantani L.; Borsi E.; Vigliotta I.; Mazzocchetti G.; Armuzzi S.; Taurisano B.; Testoni N.; Marzocchi G.; Kanapari A.; Pistis I.; Tacchetti P.; Mancuso K.; Rocchi S.; Rizzello I.; Cavo M.
Contributors: Terragna C.; Poletti A.; Solli V.; Martello M.; Zamagni E.; Pantani L.; Borsi E.; Vigliotta I.; Mazzocchetti G.; Armuzzi S.; Taurisano B.; Testoni N.; Marzocchi G.; Kanapari A.; Pistis I.; Tacchetti P.; Mancuso K.; Rocchi S.; Rizzello I.; Cavo M.
Publication Year: 2024
Collection: IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
Subject Terms: Multi-dimensional scaling techniques; Multiple Myeloma; genomic; transcriptional; adverse clinical features
Description: The complexity of Multiple Myeloma (MM) is driven by several genomic aberrations, interacting with disease-related and/or -unrelated factors and conditioning patients’ clinical outcome. Patient’s prognosis is hardly predictable, as commonly employed MM risk models do not precisely partition high- from low-risk patients, preventing the reliable recognition of early relapsing/refractory patients. By a dimensionality reduction approach, here we dissect the genomic landscape of a large cohort of newly diagnosed MM patients, modelling all the possible interactions between any MM chromosomal alterations. We highlight the presence of a distinguished cluster of patients in the low-dimensionality space, with unfavorable clinical behavior, whose biology was driven by the co-occurrence of chromosomes 1q CN gain and 13 CN loss. Presence or absence of these alterations define MM patients overexpressing either CCND2 or CCND1, fostering the implementation of biology-based patients’ classification models to describe the different MM clinical behaviors.
Document Type: article in journal/newspaper
File Description: ELETTRONICO
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/38378709; info:eu-repo/semantics/altIdentifier/wos/WOS:001176075200005; volume:15; issue:1; firstpage:1; lastpage:18; numberofpages:18; journal:NATURE COMMUNICATIONS; info:eu-repo/grantAgreement/EC/H2020/-; https://hdl.handle.net/11585/969792
DOI: 10.1038/s41467-024-45000-z
Availability: https://hdl.handle.net/11585/969792; https://doi.org/10.1038/s41467-024-45000-z; https://www.nature.com/articles/s41467-024-45000-z
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.52C38BAE
Database: BASE