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Related Experiment Video

Updated: May 9, 2026

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
10:04

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis

Published on: May 1, 2015

[Genetic tools for risk-stratification in multiple myeloma].

Esteban Braggio1, Flavio Albarracín Garramuño

  • 1Department of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ, USA.

Medicina
|August 9, 2013
PubMed
Summary

Genetic studies are crucial for multiple myeloma (MM) risk stratification. While advanced genomics and transcriptomics offer comprehensive insights, fluorescence in situ hybridization (FISH) remains the standard for routine clinical prognostication.

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Overall survival of patients with chronic lymphocytic leukemia treated with venetoclax-obinutuzumab compared to age- and sex-matched general population.

Leukemia & lymphoma·2026
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Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma: Mayo Clinic Systematic Management and Risk-Adapted Therapy for Lymphoid Malignancies (lySMART) Consensus Guidelines 2026.

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Proteomic profiling revealed unique disease biology associated with 1q abnormalities in multiple myeloma.

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A single next generation sequencing assay for detection of driver mutations, rearrangements and copy number abnormalities in plasma cell dyscrasias.

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Genomic Proximity Mapping for Identification of Chromosomal Aberrations in Multiple Myeloma.

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Genomic mechanisms of resistance to venetoclax in multiple myeloma with t(11;14)(CCND1;IGH).

Blood·2026

Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Context:

  • Genetic alterations are key in multiple myeloma (MM) risk stratification.
  • Identifying predictive genetic signatures for clinical outcome is an ongoing effort.
  • Fluorescence in situ hybridization (FISH) is widely used due to its simplicity.

Purpose:

  • To review the role of genetic studies in multiple myeloma.
  • To compare traditional FISH with high-resolution genomic and transcriptomic technologies.
  • To assess the potential of advanced techniques for risk stratification and novel marker discovery.

Summary:

  • Genetic studies, including FISH, array CGH, sequencing, and gene expression profiling (GEP), are vital for multiple myeloma (MM) prognostication.
  • GEP shows high power in outcome discrimination but faces implementation challenges.
Keywords:
genetic toolsmultiple myelomarisk-stratification

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Interphase Fluorescence in situ Hybridization of Bone Marrow Smears of Multiple Myeloma
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Interphase Fluorescence in situ Hybridization of Bone Marrow Smears of Multiple Myeloma

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Last Updated: May 9, 2026

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
10:04

Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis

Published on: May 1, 2015

Interphase Fluorescence in situ Hybridization of Bone Marrow Smears of Multiple Myeloma
07:53

Interphase Fluorescence in situ Hybridization of Bone Marrow Smears of Multiple Myeloma

Published on: April 15, 2022

  • FISH remains the current standard for routine genetic abnormality detection and prognostication in MM.

    • Impact:

    • Highlights the current limitations of high-throughput technologies in routine MM care.
    • Emphasizes the continued clinical relevance of FISH for genetic abnormality detection.
    • Provides insights into the evolving landscape of genetic testing for MM risk stratification.