1.Impact of Genetic Abnormalities on the Prognoses and Clinical Parameters of Patients with Multiple Myeloma.
Dong Wook JEKARL ; Chang Ki MIN ; Ahlm KWON ; Hyunjung KIM ; Hyojin CHAE ; Myungshin KIM ; Jihyang LIM ; Yonggoo KIM ; Kyungja HAN
Annals of Laboratory Medicine 2013;33(4):248-254
BACKGROUND: We reviewed patients with multiple myeloma (MM) in order to assess the incidence of genetic abnormalities and their associations with clinical parameters, risk groups, and prognosis. METHODS: A total of 130 patients with MM were enrolled. The incidences of genetic abnormalities were determined in all patients. The relationships of the genetic abnormalities and clinical parameters were investigated. In addition, a survival analysis was performed. RESULTS: Abnormal karyotypes were detected in 42.3% (N=55) of the patients, and this was increased to 63.1% (N=82) after including the results determined with interphase FISH. Hypodiploidy was observed in 7.7% (N=10) of the patients, and all were included in the group with complex karyotypes (30.8%, N=40). The 14q32 rearrangements were detected in 29.2% (N=38) of the patients, and these most commonly included t(11;14), which was followed by t(4;14) and t(14;16) (16.2%, 11.5%, and 0.8%, respectively). Abnormal karyotypes and complex karyotypes were associated with disease progression markers, including low hemoglobin levels, low platelet counts, high plasma cell burden, high beta2-microglobulin, and high international staging system stages. A high free light chain (FLC) ratio and FLC difference were associated with abnormal karyotypes, complex karyotypes, and higher plasma cell burden. Hypodiploidy and low platelet counts were significant independent prognostic factors and were more important in patient outcome than any single abnormality. CONCLUSIONS: Genetic abnormalities were associated with disease progression markers and prognosis of MM patients.
Aged
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*Chromosome Aberrations
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Chromosomes, Human, Pair 14
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Female
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Hemoglobins/analysis
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Humans
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Karyotyping
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Male
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Middle Aged
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Multiple Myeloma/*diagnosis/*genetics/mortality
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Neoplasm Staging
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Platelet Count
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Prognosis
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Proportional Hazards Models
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Survival Analysis
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Translocation, Genetic
2.Abnormalities in Chromosomes 1q and 13 Independently Correlate With Factors of Poor Prognosis in Multiple Myeloma.
Miyoung KIM ; Young Su JU ; Eun Jin LEE ; Hee Jung KANG ; Han Sung KIM ; Hyoun Chan CHO ; Hyo Jung KIM ; Jung Ah KIM ; Dong Soon LEE ; Young Kyung LEE
Annals of Laboratory Medicine 2016;36(6):573-582
BACKGROUND: We comprehensively profiled cytogenetic abnormalities in multiple myeloma (MM) and analyzed the relationship between cytogenetic abnormalities of undetermined prognostic significance and established prognostic factors. METHODS: The karyotype of 333 newly diagnosed MM cases was analyzed in association with established prognostic factors. Survival analysis was also performed. RESULTS: MM with abnormal karyotypes (41.1%) exhibited high international scoring system (ISS) stage, frequent IgA type, elevated IgG or IgA levels, elevated calcium levels, elevated creatine (Cr) levels, elevated β2-microglobulin levels, and decreased Hb levels. Structural abnormalities in chromosomes 1q, 4, and 13 were independently associated with elevated levels of IgG or IgA, calcium, and Cr, respectively. Chromosome 13 abnormalities were associated with poor prognosis and decreased overall survival. CONCLUSIONS: This is the first study to demonstrate that abnormalities in chromosomes 1q, 4, and 13 are associated with established factors for poor prognosis, irrespective of the presence of other concurrent chromosomal abnormalities. Chromosome 13 abnormalities have a prognostic impact on overall survival in association with elevated Cr levels. Frequent centromeric breakpoints appear to be related to MM pathogenesis.
Adolescent
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Adult
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Aged
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Aged, 80 and over
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Calcium/blood
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*Chromosome Aberrations
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Chromosomes, Human, Pair 1
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Chromosomes, Human, Pair 13
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Chromosomes, Human, Pair 4
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Creatine/blood
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Female
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Hemoglobins/analysis
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Humans
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Immunoglobulin A/blood
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Immunoglobulin G/blood
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Karyotyping
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Male
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Middle Aged
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Multiple Myeloma/*diagnosis/genetics/mortality
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Multivariate Analysis
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Prognosis
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Survival Rate
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Young Adult