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Título
High‐risk cytogenetic abnormalities in multiple myeloma: PETHEMA‐GEM experience
Autor(es)
Palabras clave
Lymphoid Malignancies
Clasificación UNESCO
3201.01 Oncología
3207.13 Oncología
Fecha de publicación
2024
Resumen
[EN] This study examines the impact of cytogenetic abnormalities and their co‐segregation on the prognosis of newly diagnosed multiple
myeloma patients. The analysis included 1304 patients from four different GEM‐PETHEMA clinical trials. Genetic alterations, such as
t(4;14), t(14;16), del(17p), +1q, and del(1p), were investigated using FISH on CD38 purified plasma cells. The frequency of genetic
alterations detected were as follows: del(17p) in 8%, t(4;14) in 12%, t(14;16) in 3%, +1q in 43%, and del(1p) in 8%. The median follow‐up
was 61 months, and the median progression‐free survival (PFS) and overall survival (OS) were 44 months and not reached, respectively.
Consistent with previous reports, the presence of t(4;14) was associated with shorter PFS and OS. In our series, the presence of t(14;16)
did not impact survival, maybe due to limitations in sample size. Del(17p) was linked to poor prognosis using a cut‐off level of ≥20%
positive cells, without any impact of higher cut‐off in prognosis, except for patients with clonal fraction ≥80% who had a dismal outcome.
Cosegregation of cytogenetic abnormalities patients worsened the prognosis in t(4;14) patients but not in patients with del(17p), which
retained its adverse prognosis even as a solitary abnormality. Gain(1q) was associated with significantly shorter PFS and OS, while del(1p)
affected PFS but not OS. Nevertheless, when co‐segregation was eliminated, the detrimental effect of +1q or del(1p) was no longer
observed. In conclusion, this study confirms the prognostic significance of high‐risk cytogenetic abnormalities in MM and highlights the
importance of considering co‐occurrence for accurate prognosis assessment.
Descripción
Financiación de acceso abierto proporcionada por los Fondos Europeos FEDER y la Junta de Castilla y León en el marco de la Estrategia de Investigación e Innovación para la Especialización Inteligente (RIS3) de Castilla y León 2021-2027
URI
ISSN
2572-9241
DOI
10.1002/hem3.70031
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