MYC alterations in multiple myeloma: Genetic insights and prognostic impact

Multiple myeloma (MM) is a hematologic malignancy with high genetic complexity. The genetic alterations that drive MM have classically been classified as primary abnormalities, including IGH translocations and hyperdiploidy, and secondary abnormalities, mainly composed of 1q gains, 17p deletions and...

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Main Authors: Sara Cristóbal-Vargas, Myriam Cuadrado, Norma C Gutiérrez
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Neoplasia: An International Journal for Oncology Research
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Online Access:http://www.sciencedirect.com/science/article/pii/S1476558625000569
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author Sara Cristóbal-Vargas
Myriam Cuadrado
Norma C Gutiérrez
author_facet Sara Cristóbal-Vargas
Myriam Cuadrado
Norma C Gutiérrez
author_sort Sara Cristóbal-Vargas
collection DOAJ
description Multiple myeloma (MM) is a hematologic malignancy with high genetic complexity. The genetic alterations that drive MM have classically been classified as primary abnormalities, including IGH translocations and hyperdiploidy, and secondary abnormalities, mainly composed of 1q gains, 17p deletions and MYC rearrangements. Dysregulation of the MYC oncogene has been proposed as a key factor in disease progression from monoclonal gammopathy of undetermined significance (MGUS), smoldering MM and overt MM. MYC, a multifunctional transcription factor, is frequently activated in MM through various mechanisms, including translocations, amplifications, and overexpression, thereby contributing to the growth and survival of malignant plasma cells. The role of MYC abnormalities in the prognosis of MM remains controversial and continues to be overlooked in current prognostic indices for MM. The different methodologies used to detect MYC lesions may hinder the interpretation of the apparently contradictory results between studies analyzing the impact of these alterations on the survival of MM patients. On the other hand, the mouse models that best mimic the characteristics of human MM are those driven by MYC.In this review, we provide an overview of the MYC alterations described in MM, indicating the methodologies used to detect them and discussing their influence on patient prognosis. We also summarize the main characteristics of the genetically engineered mouse models driven by MYC. Finally, we assess the therapeutic potential of MYC inhibition in MM and the strategies currently approved for clinic use.
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spelling doaj-art-89ea52b2b61b4e6ea6413b25268abede2025-08-20T02:10:06ZengElsevierNeoplasia: An International Journal for Oncology Research1476-55862025-08-016610117710.1016/j.neo.2025.101177MYC alterations in multiple myeloma: Genetic insights and prognostic impactSara Cristóbal-Vargas0Myriam Cuadrado1Norma C Gutiérrez2Hematology Department, University Hospital of Salamanca, IBSAL, Salamanca, Spain; Cancer Research Center-IBMCC (USAL-CSIC), Salamanca, SpainHematology Department, University Hospital of Salamanca, IBSAL, Salamanca, Spain; Cancer Research Center-IBMCC (USAL-CSIC), Salamanca, SpainHematology Department, University Hospital of Salamanca, IBSAL, Salamanca, Spain; Cancer Research Center-IBMCC (USAL-CSIC), Salamanca, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC, CB16/12/00233), Salamanca, Spain; Corresponding author.Multiple myeloma (MM) is a hematologic malignancy with high genetic complexity. The genetic alterations that drive MM have classically been classified as primary abnormalities, including IGH translocations and hyperdiploidy, and secondary abnormalities, mainly composed of 1q gains, 17p deletions and MYC rearrangements. Dysregulation of the MYC oncogene has been proposed as a key factor in disease progression from monoclonal gammopathy of undetermined significance (MGUS), smoldering MM and overt MM. MYC, a multifunctional transcription factor, is frequently activated in MM through various mechanisms, including translocations, amplifications, and overexpression, thereby contributing to the growth and survival of malignant plasma cells. The role of MYC abnormalities in the prognosis of MM remains controversial and continues to be overlooked in current prognostic indices for MM. The different methodologies used to detect MYC lesions may hinder the interpretation of the apparently contradictory results between studies analyzing the impact of these alterations on the survival of MM patients. On the other hand, the mouse models that best mimic the characteristics of human MM are those driven by MYC.In this review, we provide an overview of the MYC alterations described in MM, indicating the methodologies used to detect them and discussing their influence on patient prognosis. We also summarize the main characteristics of the genetically engineered mouse models driven by MYC. Finally, we assess the therapeutic potential of MYC inhibition in MM and the strategies currently approved for clinic use.http://www.sciencedirect.com/science/article/pii/S1476558625000569Multiple myelomaMYC oncogeneGenetic alterationsMouse modelsTherapeutic strategies
spellingShingle Sara Cristóbal-Vargas
Myriam Cuadrado
Norma C Gutiérrez
MYC alterations in multiple myeloma: Genetic insights and prognostic impact
Neoplasia: An International Journal for Oncology Research
Multiple myeloma
MYC oncogene
Genetic alterations
Mouse models
Therapeutic strategies
title MYC alterations in multiple myeloma: Genetic insights and prognostic impact
title_full MYC alterations in multiple myeloma: Genetic insights and prognostic impact
title_fullStr MYC alterations in multiple myeloma: Genetic insights and prognostic impact
title_full_unstemmed MYC alterations in multiple myeloma: Genetic insights and prognostic impact
title_short MYC alterations in multiple myeloma: Genetic insights and prognostic impact
title_sort myc alterations in multiple myeloma genetic insights and prognostic impact
topic Multiple myeloma
MYC oncogene
Genetic alterations
Mouse models
Therapeutic strategies
url http://www.sciencedirect.com/science/article/pii/S1476558625000569
work_keys_str_mv AT saracristobalvargas mycalterationsinmultiplemyelomageneticinsightsandprognosticimpact
AT myriamcuadrado mycalterationsinmultiplemyelomageneticinsightsandprognosticimpact
AT normacgutierrez mycalterationsinmultiplemyelomageneticinsightsandprognosticimpact