Genes with a Spike Expression Are Clustered on Specific Chromosome Regions with Prognostic Value in Multiple Myeloma

Scientific Contributions by Alboukadel Kassambara

This study identifies genes with spike expression in multiple myeloma, reveals their clustering in chromosome bands, and introduces a spike band score with strong prognostic power for patient survival.

Scientific Abstracts
Author
Affiliation
Published

April 1, 2012

Modified

May 21, 2025

Keywords

Alboukadel Kassambara, spike gene expression, multiple myeloma, chromosome bands, prognostic marker, Hematologica

Kassambara A, Hose D, Moreaux J, Walker BA, Protopopov A, Rème T, Pellestor F, Pantesco V, Jauch A, Morgan G, Goldschmidt H, Klein B. Genes with a Spike Expression Are Clustered on Specific Chromosome Regions with Prognostic Value in Multiple Myeloma. Hematologica. 2012. Download the PDF

Summary of the Study

Chromosomal translocations in multiple myeloma (MM) can lead to abnormally high expression (‘spike expression’) of genes linked to tumor survival and progression.

This study:

  • Investigated genes with spike expression in malignant plasma cells from 206 newly diagnosed MM patients

  • Identified 2,587 spike-expressed genes

  • Found that 36.7% of them significantly cluster within 149 chromosomal (sub)bands

  • Developed a spike band score based on these clusters, which strongly correlates with patient prognosis:

    • 23.8% of patients had poor survival using this score
    • The score was independent of known markers such as t(4;14) and del17p
    • Findings were validated in an independent cohort of 345 patients

This work introduces a powerful stratification method for MM using gene expression spikes and chromosomal locations.

Important

In this study, Alboukadel Kassambara was the first author, performing the transcriptomic analysis and interpretation of the data. He identified spike-expressed genes, developed the spike band score, and validated its prognostic value. He also contributed to the writing of the manuscript, establishing a new chromosomal expression-based stratification model in multiple myeloma.

Citation

Publication: In Hematologica
Date: April 1, 2012
Type: Journal Article
PDF: Download the PDF

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Scientific Contributions

Note

Here are more scientific abstracts authored or co-authored by Alboukadel Kassambara. These contributions span computational biology, bioinformatics, biostatistics, machine learning, and multi-omics, with a focus on immuno-oncology and translational research.

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