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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

Author

Listed:
  • Carolina Terragna

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”)

  • Andrea Poletti

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Vincenza Solli

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Marina Martello

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Elena Zamagni

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Lucia Pantani

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”)

  • Enrica Borsi

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”)

  • Ilaria Vigliotta

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Gaia Mazzocchetti

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Silvia Armuzzi

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Barbara Taurisano

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Nicoletta Testoni

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Giulia Marzocchi

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Ajsi Kanapari

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Ignazia Pistis

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”)

  • Paola Tacchetti

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”)

  • Katia Mancuso

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Serena Rocchi

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Ilaria Rizzello

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

  • Michele Cavo

    (IRCCS Azienda Ospedaliero-Universitaria di Bologna—Istituto di Ematologia “Seràgnoli”
    University of Bologna)

Abstract

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.

Suggested Citation

  • Carolina Terragna & Andrea Poletti & Vincenza Solli & Marina Martello & Elena Zamagni & Lucia Pantani & Enrica Borsi & Ilaria Vigliotta & Gaia Mazzocchetti & Silvia Armuzzi & Barbara Taurisano & Nicol, 2024. "Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45000-z
    DOI: 10.1038/s41467-024-45000-z
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    1. Francesco Maura & Niccoló Bolli & Nicos Angelopoulos & Kevin J. Dawson & Daniel Leongamornlert & Inigo Martincorena & Thomas J. Mitchell & Anthony Fullam & Santiago Gonzalez & Raphael Szalat & Federic, 2019. "Genomic landscape and chronological reconstruction of driver events in multiple myeloma," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
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