Publications by authors named "P H Blaney"

To comprehensively unravel the temporal relationship between initiating and driver events and its impact on clinical outcomes, we analyzed 421 whole-genome sequencing profiles from 382 patients. Using clock-like mutational signatures, we estimated a time lag of 2-4 decades between initiating events and diagnosis. In patients with hyperdiploidy, we demonstrate that trisomies of odd-numbered chromosomes can be acquired simultaneously with other chromosomal gains, such as 1q gain.

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Multiple Myeloma is an incurable plasma cell malignancy with a poor survival rate that is usually treated with immunomodulatory drugs (iMiDs) and proteosome inhibitors (PIs). The malignant plasma cells quickly become resistant to these agents causing relapse and uncontrolled growth of resistant clones. From whole genome sequencing (WGS) and RNA sequencing (RNA-seq) studies, different high-risk translocation, copy number, mutational, and transcriptional markers can be identified.

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Acquisition of a hyperdiploid (HY) karyotype or immunoglobulin heavy chain (IgH) translocations are considered key initiating events in multiple myeloma (MM). To explore if other genomic events can precede these events, we analyzed whole-genome sequencing data from 1173 MM samples. By integrating molecular time and structural variants within early chromosomal duplications, we indeed identified pregain deletions in 9.

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Article Synopsis
  • Early intervention for high-risk smoldering multiple myeloma (HR-SMM) leads to significant and lasting treatment responses, although it's uncertain if these are due to simpler disease characteristics or inaccuracies in patient classification.
  • A study analyzing genomic data from 54 HR-SMM patients suggests that the genetic features of treated HR-SMM are generally less complex compared to newly diagnosed multiple myeloma, with fewer mutations affecting key genes.
  • Despite some patients showing genomic complexity and experiencing treatment resistance, standard clinical risk scores are not effective in distinguishing between less aggressive and more severe disease forms, highlighting the potential for personalized therapy based on genomic profiling.
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