Clinical Utility of a Diagnostic Approach to Detect Genetic Abnormalities in Multiple Myeloma: A Single Institution Experience
Annals of Laboratory Medicine
; : 196-203, 2018.
Article
in En
| WPRIM
| ID: wpr-714529
Responsible library:
WPRO
ABSTRACT
BACKGROUND: The identification of genetic abnormalities in patients with multiple myeloma (MM) has gained emphasis because genetics-based risk stratification significantly affects overall survival (OS). We investigated genetic abnormalities using conventional cytogenetics and FISH and analyzed the prognostic significance of the identified additional abnormalities in MM. METHODS: In total, 267 bone marrow samples were collected from February 2006 to November 2013 from patients who were newly diagnosed as having MM in a tertiary-care hospital in Korea. The clinical and laboratory data were retrospectively obtained. Cox proportional hazard regression was used to examine the relationship between clinical/genetic factors and survival outcome, using univariate and multivariate models. RESULTS: Using conventional cytogenetic analysis and FISH, 45% (120/267) and 69% (183/267) patients, respectively, were identified to harbor genetic abnormalities. In the univariate analysis, the following genetic variables were identified to affect OS: abnormal karyotype (P 65 years) (P=0.013) with an HR of 2.505 (95% CI, 1.218–5.151). CONCLUSIONS: Our findings highlight the importance of applying a comprehensive approach for detecting genetic abnormalities, which could be closely associated with the prognostic significance of MM.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Prognosis
/
Bone Marrow
/
Multivariate Analysis
/
Retrospective Studies
/
Cytogenetic Analysis
/
Cytogenetics
/
Abnormal Karyotype
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Korea
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Aneuploidy
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Multiple Myeloma
Type of study:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Country/Region as subject:
Asia
Language:
En
Journal:
Annals of Laboratory Medicine
Year:
2018
Type:
Article