Navigating the clinical landscape: Update on the diagnostic and prognostic biomarkers in multiple myeloma
- PMID: 39249557
- DOI: 10.1007/s11033-024-09892-w
Navigating the clinical landscape: Update on the diagnostic and prognostic biomarkers in multiple myeloma
Abstract
Multiple myeloma, a complex hematologic malignancy, has devastating consequences for patients, including dramatic bone loss, severe bone pain, and pathological fractures that markedly decrease the quality of life and impact the survival of affected patients. This necessitates a refined understanding of biomarkers for accurate diagnosis and prognosis of such severe malignancy. Therefore, this article comprehensively covers current research, elucidating the diverse spectrum of biomarkers employed in clinical settings. From traditional serum markers to advanced molecular profiling techniques, the review provides a thorough examination of their utility and limitations. Through this scoping review, emphasis is placed on the evolving landscape of personalized medicine, where biomarkers play a pivotal role in tailoring therapeutic strategies. The integration of genomic, proteomic, next generation sequencing and flow cytometric data further enriches the discussion, unravelling the molecular intricacies underlying disease progression. The updated criteria allow for the treatment of people who clearly would benefit from therapy and might live longer if treated before significant organ damage occurs. Navigating through the evolving diagnostic and prognostic paradigms in multiple myeloma, this article equips clinicians and researchers with crucial insights for optimizing patient care and advancing future therapeutic approaches.
Keywords: Biomarkers; Haematologic malignancy; Molecular profiling; Patient care; Personalized medicine.
© 2024. The Author(s), under exclusive licence to Springer Nature B.V.
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References
-
- Rajkumar SV (2011) Treatment of multiple myeloma. Nat Reviews Clin Oncol 8(8):479–491. https://doi.org/10.1038/nrclinonc.2011.63 - DOI
-
- Rajkumar SV (2018) Multiple myeloma: 2018 update on diagnosis, risk-stratification, and management. Am J Hematol 93(8):1091–1110. https://doi.org/10.1002/ajh.25117 - DOI
-
- Cowan AJ, Green DJ, Kwok M, Lee S, Coffey DG, Holmberg LA et al (2022) Diagnosis and management of multiple myeloma: a review. JAMA 327(5):464–477. https://doi.org/10.1001/jama.2022.0003 - DOI
-
- Grant SJ, Wildes TM, Rosko AE, Silberstein J, Giri S (2023) A real-world data analysis of predictors of early mortality after a diagnosis of multiple myeloma. Cancer 129(13):2023–2034. https://doi.org/10.1002/cncr.34760 - DOI
-
- Nieto MJ, Hedjar A, Locke M, Caro J, Saif MW (2023) Analysis of updates in multiple myeloma treatment and management. J Clin Haematol 4(1):35. https://doi.org/10.33696/haematology.4.055 - DOI
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