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Initiating events in the pathogenesis of multiple myeloma (MM) include translocations involving the immunoglobulin heavy-chain gene (IGH) at 14q3. During disease progression, co-existing clones acquire additional chromosomal abnormalities (CAs). These CAs can have prognostic value; for example patients with t(4;14), t(14;16) and t(14;20) CAs in IGH have a poor prognosis and are considered high-risk by the International Myeloma Working Group.1 A deletion of the whole locus of the IGH gene, or its segments (w_del(IGH)), occurs in 14–27% of patients with MM, but little is known of the prognostic significance. Adrian Duek and Luba Trakhtenbrot, from The Chaim Sheba Medical Center, Israel, and colleagues conducted a retrospective analysis of 255 newly‑diagnosed patients with MM, to determine the prognostic significance of the monoallelic deletion of the whole locus of IGH when compared to t(4;14) and t(14;16) CAs.2
All data is given as w_del(IGH) vs t(4;14) vs t(14;16)
In newly-diagnosed patients with MM, a monoallelic deletion of the entire IGH locus was associated with fewer additional CAs and a significantly longer OS when compared to patients with t(4;14) and t(14;16) CAs. This suggests it may have potential as a new prognostic factor, with further studies required to investigate this. It was also noted that a weakness of the current study was its retrospective nature and lack of data on response rate to therapy.
This study also provides evidence that w_del(IGH) is an early pathogenic event in MM. Fewer late chromosomal events, such as del(p53), del(1p) and multiple (1q) gains, were seen in the w_del(IGH) group compared to the t(4;14) and t(14;16) groups. Additionally, the improved OS in patients with w_del(IGH) may be due to a diagnosis at an earlier ISS stage, which could support the notion that w_del(IGH) occurs earlier in the pathogenesis of the disease.
The International Myeloma Working Group recently included chromosomal abnormalities in the risk-stratification of MM, therefore, it is paramount that MM risk groups are well defined in order to optimize treatment strategies.
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