Molecular profiling of immunoglobulin heavy-chain gene rearrangements unveils new potential prognostic markers for multiple myeloma patients.
Alejandro Medina HerreraCristina JiménezM Eugenia SarasqueteMarcos GonzálezM Carmen ChillónAna BalanzateguiMaría Isabel Prieto-CondeMaría García-ÁlvarezNoemí PuigVerónica González-CalleMiguel AlcocebaIsabel CuencaSantiago BarrioFernando EscalanteNorma C GutiérrezMercedes GironellaMiguel T HernándezAnna SuredaAlbert OriolJoan BladéJuan-José LahuertaJesús F San MiguelMaria-Victoria Mateos-MantecaJoaquín Martínez-LópezMaría-José CalasanzMiriam SanteroPublished in: Blood cancer journal (2020)
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.
Keyphrases
- multiple myeloma
- newly diagnosed
- end stage renal disease
- ejection fraction
- peritoneal dialysis
- free survival
- stem cells
- genome wide
- gene expression
- patient reported outcomes
- risk assessment
- multidrug resistant
- transcription factor
- dna methylation
- patient reported
- circulating tumor cells
- cell therapy
- water quality
- circulating tumor