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Open AccessJournal ArticleDOI

A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis

TLDR
In a genome-wide analysis of the largest set of molecular and clinical data established to date from NDMM, DNA drivers of aggressive clinical behavior are defined and Double-Hit patients have a dire prognosis despite modern therapies and should be considered for novel therapeutic approaches.
Abstract
Patients with newly diagnosed multiple myeloma (NDMM) with high-risk disease are in need of new treatment strategies to improve the outcomes. Multiple clinical, cytogenetic, or gene expression features have been used to identify high-risk patients, each of which has significant weaknesses. Inclusion of molecular features into risk stratification could resolve the current challenges. In a genome-wide analysis of the largest set of molecular and clinical data established to date from NDMM, as part of the Myeloma Genome Project, we have defined DNA drivers of aggressive clinical behavior. Whole-genome and exome data from 1273 NDMM patients identified genetic factors that contribute significantly to progression free survival (PFS) and overall survival (OS) (cumulative R2 = 18.4% and 25.2%, respectively). Integrating DNA drivers and clinical data into a Cox model using 784 patients with ISS, age, PFS, OS, and genomic data, the model has a cumlative R2 of 34.3% for PFS and 46.5% for OS. A high-risk subgroup was defined by recursive partitioning using either a) bi-allelic TP53 inactivation or b) amplification (≥4 copies) of CKS1B (1q21) on the background of International Staging System III, comprising 6.1% of the population (median PFS = 15.4 months; OS = 20.7 months) that was validated in an independent dataset. Double-Hit patients have a dire prognosis despite modern therapies and should be considered for novel therapeutic approaches.

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Journal ArticleDOI

Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma.

TL;DR: Using integrated genomics of 1273 newly diagnosed patients with MM, associations indicate that the genomic landscape of myeloma is predetermined by the primary events upon which further dependencies are built, giving rise to a nonrandom accumulation of genetic hits.
Journal ArticleDOI

Diagnosis and Management of Multiple Myeloma: A Review.

TL;DR: The Revised International Staging System combines data from the serum biomarkers β2 microglobulin, albumin, and lactate dehydrogenase in conjunction with malignant plasma cell genomic features found on fluorescence in situ hybridization to assess estimated progression-free survival and overall survival.
Journal ArticleDOI

Toward personalized treatment in multiple myeloma based on molecular characteristics.

TL;DR: It is argued that in order to continue to improve multiple myeloma patient outcomes incorporating such biomarkers into the routine diagnostic workup of patients will allow for the use of personalized, biologically based treatments.
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