1. Molecular profiling of immunoglobulin heavy-chain gene rearrangements unveils new potential prognostic markers for multiple myeloma patients.
- Author
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Medina, Alejandro, Jiménez, Cristina, Sarasquete, M. Eugenia, González, Marcos, Chillón, M. Carmen, Balanzategui, Ana, Prieto-Conde, Isabel, García-Álvarez, María, Puig, Noemí, González-Calle, Verónica, Alcoceba, Miguel, Cuenca, Isabel, Barrio, Santiago, Escalante, Fernando, Gutiérrez, Norma C., Gironella, Mercedes, Hernández, Miguel T., Sureda, Anna, Oriol, Albert, and Bladé, Joan
- Subjects
MULTIPLE myeloma treatment ,IMMUNOGLOBULINS ,B cells ,PROGRESSION-free survival ,UNIVARIATE analysis - Abstract
Multiple myeloma is a heterogeneous disease whose pathogenesis has not been completely elucidated. Although B-cell receptors play a crucial role in myeloma pathogenesis, the impact of clonal immunoglobulin heavy-chain features in the outcome has not been extensively explored. Here we present the characterization of complete heavy-chain gene rearrangements in 413 myeloma patients treated in Spanish trials, including 113 patients characterized by next-generation sequencing. Compared to the normal B-cell repertoire, gene selection was biased in myeloma, with significant overrepresentation of IGHV3, IGHD2 and IGHD3, as well as IGHJ4 gene groups. Hypermutation was high in our patients (median: 8.8%). Interestingly, regarding patients who are not candidates for transplantation, a high hypermutation rate (≥7%) and the use of IGHD2 and IGHD3 groups were associated with improved prognostic features and longer survival rates in the univariate analyses. Multivariate analysis revealed prolonged progression-free survival rates for patients using IGHD2/IGHD3 groups (HR: 0.552, 95% CI: 0.361−0.845, p = 0.006), as well as prolonged overall survival rates for patients with hypermutation ≥7% (HR: 0.291, 95% CI: 0.137−0.618, p = 0.001). Our results provide new insights into the molecular characterization of multiple myeloma, highlighting the need to evaluate some of these clonal rearrangement characteristics as new potential prognostic markers. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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