Genetic Markers Used for Risk Stratification in Multiple Myeloma

Joint Authors

Braggio, Esteban
Segges, Priscilla

Source

Genetics Research International

Issue

Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-09-13

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Biology

Abstract EN

While no specific genetic markers are required in the diagnosis of multiple myeloma (MM), multiple genetic abnormalities and gene signatures are used in disease prognostication and risk stratification.

This is particularly important for the adequate identification of the high-risk MM group, which does not benefit from any of the current therapies, and novel approaches need to be proposed.

Fluorescence in situ hybridization (FISH) has been employed for establishing risk-based stratification and still remains the most used genetic technique in the clinical routine.

The incorporation of gene expression profiling (GEP) in the study of MM has shown to be a very powerful test in the patient stratification, but its incorporation in clinical routine depends on some technical and logistic resolutions.

Thus, FISH still remains the gold standard test for detecting genomic abnormalities and outcome discrimination in MM.

American Psychological Association (APA)

Segges, Priscilla& Braggio, Esteban. 2011. Genetic Markers Used for Risk Stratification in Multiple Myeloma. Genetics Research International،Vol. 2011, no. 2011, pp.1-4.
https://search.emarefa.net/detail/BIM-498987

Modern Language Association (MLA)

Segges, Priscilla& Braggio, Esteban. Genetic Markers Used for Risk Stratification in Multiple Myeloma. Genetics Research International No. 2011 (2011), pp.1-4.
https://search.emarefa.net/detail/BIM-498987

American Medical Association (AMA)

Segges, Priscilla& Braggio, Esteban. Genetic Markers Used for Risk Stratification in Multiple Myeloma. Genetics Research International. 2011. Vol. 2011, no. 2011, pp.1-4.
https://search.emarefa.net/detail/BIM-498987

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-498987