scholarly journals Development and validation of prognostic implications of chromosome abnormalities algorithm for newly diagnosed multiple myeloma

Blood Science ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Tiancheng Luo ◽  
Wanting Qiang ◽  
Jing Lu ◽  
Haiyan He ◽  
Jin Liu ◽  
...  
2020 ◽  
Author(s):  
Tiancheng Luo ◽  
Wanting Qiang ◽  
Jing Lu ◽  
Haiyan He ◽  
Jin Liu ◽  
...  

Abstract BACKGROUND: Fluorescence in situ hybridization (FISH) evaluation is essential for initial risk stratification in multiple myeloma (MM). While the presence of specific cytogenetic abnormalities confers a heterogeneity impact on prognosis, the cutoff values are not exactly comparable among different centers, we performed K-Adaptive Partitioning (Kaps), a novel statistical method, to development and validation of a prognostic implications of chromosome abnormalities algorithm for newly diagnosed multiple myelomaMETHODS: A total of 533 patients with newly diagnosed MM admitted to Shanghai Changzheng Hospital were enrolled. All patients underwent FISH detect cytogenetic abnormalities. The prognostic impact of cytogenetic abnormalities (CA) detected by FISH were analyzed. RESULTS: The K-Adaptive Partitioning method was used to calculate the chromosomal abnormal cut-off values as follows: 17p - 20.1%, 13q - 85%, 1q21 + 39%, t (11, 14) 55.5%, t (14,16) 87%, t (4,14) 53.5%. According to EMN criteria for CA, 17p- and 1q21 + are the independent factors affecting both OS and PFS among CA. The analysis based on the cutoff value obtained by Kaps suggests that 13q-, t(14,16) , 17p- and 1q21 + are independent factors affecting OS among CA; t(14,16) , 17p- and 1q21 + are independent factors affecting PFS among CA. Based on the survival analysis results, the prognostic model was constructed. The c-index of the prognostic model calculated by the Kaps method was 0.719 (95% CI, 0.683 to 0.756; corrected 0.707), while the c-index of the prognostic model according to the EMN criteria was 0.714 (95% CI, 0.678 to 0.751; corrected 0.696). To analyze the influence of the number of adverse CA on the prognosis, both the EMN criteria and the criteria analysis by the Kaps suggest that the more adverse CA, the OS and PFS became shorter.CONCLUSION: This study shows that chromosomal abnormalities in different proportions and combinations can affect the prognosis of multiple myeloma patients. Effective criteria should be formulated to evaluate the prognosis of MM patients better.


2021 ◽  
pp. clincanres.0134.2021
Author(s):  
Gian Maria Zaccaria ◽  
Luca Bertamini ◽  
Maria Teresa Petrucci ◽  
Massimo Offidani ◽  
Paolo Corradini ◽  
...  

2017 ◽  
Vol 7 (9) ◽  
pp. e600-e600 ◽  
Author(s):  
M Binder ◽  
S V Rajkumar ◽  
R P Ketterling ◽  
P T Greipp ◽  
A Dispenzieri ◽  
...  

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5615-5615
Author(s):  
Moritz Binder ◽  
S. Vincent Rajkumar ◽  
Rhett P. Ketterling ◽  
Angela Dispenzieri ◽  
Martha Q. Lacy ◽  
...  

Abstract Background: Cytogenetic evaluation using fluorescence in situ hybridization (FISH) at the time of diagnosis is essential for initial risk stratification in multiple myeloma. The presence of specific cytogenetic abnormalities is known to confer a poor prognosis, less is known about the cumulative effect of multiple cytogenetic high-risk abnormalities. We aimed to evaluate the prognostic implications of the presence of multiple cytogenetic high-risk abnormalities at the time of diagnosis. Methods: We studied 226 patients who were diagnosed with multiple myeloma between July 2004 and July 2014 at Mayo Clinic Rochester, underwent FISH evaluation within six months of diagnosis, and presented with cytogenetic high-risk abnormalities. High-risk cytogenetics were defined as t(4;14), t(14;16), t(14;20), del(17p), or gain(1q). Bone marrow aspirates were evaluated for deletions, monosomies, trisomies, and tetrasomies using chromosome- or centromere-specific FISH probes. IGH rearrangements were evaluated using an IGH break-apart probe and evaluating up to five potential partners (FGFR3, CCND1, CCND3, MAF, and MAFB). Kaplan-Meier overall survival estimates were calculated and the log-rank test was used to compare overall survival in patients with single and multiple cytogenetic high-risk abnormalities. A multivariable-adjusted Cox regression model was used to assess the effect of multiple cytogenetic high-risk abnormalities on overall survival adjusting for age, sex, and Revised International Staging System (R-ISS) stage. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis was 65 years (32 - 90), 129 (57%) of the patients were male. The median overall survival was 3.5 years (3.1 - 4.9) for the entire cohort (n = 226), 4.0 years (3.3 - 5.1) for those with one cytogenetic high-risk abnormality (n = 182, 80%), and 2.6 years (1.7 - 3.1) for those with two cytogenetic high-risk abnormalities (n = 44, 20%). There were no patients with more than two cytogenetic high-risk abnormalities. Ninety-eight patients (45%) had a high-risk translocation, 77 (35%) had del(17p), 39 (18%) had a high-risk translocation plus del(17p), and 5 (2%) had gain(1q) plus either a high-risk translocation or del(17p). Figure 1 shows the Kaplan-Meier overall survival estimates stratified by the number of cytogenetic high-risk abnormalities (n = 226). The presence of two cytogenetic high-risk abnormalities (compared to one) was of prognostic significance after adjusting for age, sex, and R-ISS stage (HR 2.01, 95% CI 1.27 - 3.19, p = 0.003, n = 205). Conclusions: Approximately one in five patients with newly diagnosed high-risk multiple myeloma presented with two high-risk abnormalities at the time of diagnosis. These patients experienced inferior overall survival suggesting a cumulative effect of multiple cytogenetic high-risk abnormalities. The relatively low number of observed gain(1q) was likely related to the fact that not all patients were evaluated for that abnormality. Therefore the presented hazard ratio represents a conservative effect estimate and may underestimate the true effect. Figure 1 Figure 1. Disclosures Dispenzieri: GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; Alnylam: Research Funding; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding. Kapoor:Takeda: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Kumar:Janssen: Consultancy, Research Funding; BMS: Consultancy; AbbVie: Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy.


Sign in / Sign up

Export Citation Format

Share Document