Article

High WEE1 expression is independently linked to poor survival in multiple myeloma

2024-09-24

Abstract excerpt

Current prognostic scores in multiple myeloma (MM) currently rely on disease burden and a limited set of genomic alterations. Some studies have suggested gene expression panels may predict clinical outcomes, but none are presently utilized in clinical practice. We therefore analyzed the MMRF CoMMpass dataset (N=659) and identified a high-risk group (top tertile) and a low-risk group (bottom tertile) based on WEE1...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4afba951-1d2e-5d5f-b0a5-b44d61abff3c
DOI: 10.1101/2024.09.20.613788

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

High WEE1 expression is independently linked to poor survival in multiple myelomaDOI 10.1101/2024.09.20.613788Read

A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysisSemantic proximity Read

Characterization of driver mutations identifies gene signatures predictive of prognosis and treatment sensitivity in multiple myeloma.Semantic proximity Read

Gene expression profiling defines a high-risk entity of multiple myeloma.Semantic proximity Read

High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitionsSemantic proximity Read

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

Genomics in Multiple MyelomaSemantic proximity Read

Beyond the marrow: insights from comprehensive next-generation sequencing of extramedullary multiple myeloma tumors.Semantic proximity Read

DNA damage repair (DDR) related prognostic risk model in multiple myeloma based on single-cell and bulk sequencing.Semantic proximity Read

Kinome expression profiling to target new therapeutic avenues in multiple myelomaSemantic proximity Read

Integrative multi-omics identifies high risk multiple myeloma subgroup associated with significant DNA loss and dysregulated DNA repair and cell cycle pathwaysSemantic proximity Read

Genome-Wide Identification of Potential Biomarkers in Multiple Myeloma Using Meta-Analysis of mRNA and miRNA Expression DataSemantic proximity Read

Extramedullary myeloma is genomically complex and characterized by near-universal MAPK pathway alterations.Semantic proximity Read