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Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: Jun 3, 2026

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

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

Published on: May 1, 2015

Genomics in multiple myeloma.

Nikhil C Munshi¹, Hervé Avet-Loiseau

¹VA Boston Healthcare System, and Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research

|March 18, 2011

Summary

This summary is machine-generated.

Multiple myeloma (MM) is a complex cancer driven by genetic changes. Identifying these genomic alterations in MM is key to developing targeted therapies and improving patient outcomes.

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Area of Science:

Oncogenomics
Cancer Genetics
Molecular Biology

Background:

Multiple myeloma (MM) is a hematologic malignancy characterized by genetic and epigenetic alterations.
Genomic instability, including amplifications and deletions, is a hallmark of MM development and progression.

Purpose of the Study:

To identify key genetic alterations in multiple myeloma.
To understand the role of these alterations in disease pathogenesis and progression.
To explore the potential of these molecular determinants as therapeutic targets.

Main Methods:

Comprehensive oncogenomic analysis of human MM samples.
Integration of genomic data with clinical outcome information.
Identification of recurrent focal amplifications and deletions.

Main Results:

Numerous recurrent and focal amplifications/deletions identified in the MM genome.
Candidate genes within altered regions implicated in MM pathogenesis.
Correlation between molecular determinants and biological behavior/clinical outcome.

Conclusions:

Genomic alterations are critical drivers of multiple myeloma.
Understanding these molecular determinants aids in developing prognostic models.
Targeting these alterations offers a pathway for novel, individualized MM therapies with reduced toxicity.