Figure 2.
Figure 2. Risk stratification systems and outcome. PFS as defined by the different risk stratification systems. (A) Ultrahigh risk defined by the presence of >1 adverse lesion (t(4;14), t(14;16), t(14;20), del(17p), and gain(1q)) in the analysis of 869 cases from the MRC Myeloma IX trial (published 2011). Reprinted from Boyd et al24 with permission. (B) Ultrahigh risk defined by the R-ISS (low-risk R-ISS group I [ISS stage I with no high-risk CA (del(17p) and/or t(4;14 and/or 14;16)) and normal LDH level] to high-risk R-ISS group III [ISS stage III and high-risk CA or high LDH level]) in a pooled study of 4445 patients with newly diagnosed multiple myeloma from 11 clinical studies (published 2016). Reprinted from Palumbo et al55 with permission. (C) Ultra high-risk defined as double-hit myeloma (either loss of both alleles of TP53 [by mutation, deletion or both] or with 2 extra copies of 1q, resulting in amplification rather than a single gain) by incorporating NGS data in the Myeloma Genome Project analysis of 784 patients (published 2018). Reprinted from Walker et al.32

Risk stratification systems and outcome. PFS as defined by the different risk stratification systems. (A) Ultrahigh risk defined by the presence of >1 adverse lesion (t(4;14), t(14;16), t(14;20), del(17p), and gain(1q)) in the analysis of 869 cases from the MRC Myeloma IX trial (published 2011). Reprinted from Boyd et al24  with permission. (B) Ultrahigh risk defined by the R-ISS (low-risk R-ISS group I [ISS stage I with no high-risk CA (del(17p) and/or t(4;14 and/or 14;16)) and normal LDH level] to high-risk R-ISS group III [ISS stage III and high-risk CA or high LDH level]) in a pooled study of 4445 patients with newly diagnosed multiple myeloma from 11 clinical studies (published 2016). Reprinted from Palumbo et al55  with permission. (C) Ultra high-risk defined as double-hit myeloma (either loss of both alleles of TP53 [by mutation, deletion or both] or with 2 extra copies of 1q, resulting in amplification rather than a single gain) by incorporating NGS data in the Myeloma Genome Project analysis of 784 patients (published 2018). Reprinted from Walker et al.32 

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