| Literature DB >> 32249811 |
Mehmet Baysal1, Ufuk Demirci2, Elif Umit2, Hakki Onur Kirkizlar2, Emine Ikbal Atli3, Hakan Gurkan3, Sedanur Karaman Gulsaran2, Volkan Bas2, Cisem Mail3, Ahmet Muzaffer Demir2.
Abstract
Risk assessment in newly diagnosed multiple myeloma patients (NDMM) is the first and the most crucial determinant of treatment. With the utilization of FISH analysis as a part of routine practice, high risk Multiple Myeloma (MM) is defined as having at least one of the mutations related with poor prognosis including; t(4;14) t(14;16), t(14;20), del 17p, p53 mutation, gain 1q and del 1p. M-Smart MM risk stratification guideline by Mayo Clinic has proposed a concept similar to high grade lymphomas. Having two of the high risk genetic abnormalities were defined as double hit MM and having any three as triple hit MM. Based on these definitions which may bring a much more clinically relatable understanding in MM prognosis, we aimed to assess our database regarding these two concepts and their probable significance in terms of outcome and prognosis. We retrospectively evaluated 159 newly diagnosed multiple myeloma patients and their clinical course. Among these patients; twenty-four patients have one high risk determinant and also seven and two patients were classified as double hit MM and triple hit MM respectively. Overall survival (OS) of the patients with double hit MM was 6 months, 32.0 months for patients with single high risk abnormality and 57.0 months for patients with no high risk abnormality. Univariate analysis showed that Double Hit and Triple Hit MM is a predictive of low OS. Hazard Ratio of patients with one high risk abnormality was 1.42, double-hit MM patients was 5.55, and triple-hit MM patients was 7.3. Despite the development of novel drugs and their effects of prolonging survival, the treatment has not been individualized. Understanding the biology of each patient as a unique process will be the success of the treatment. As it is known that some MM patients harbor high risk genetic abnormalities according to FISH analysis, we can continue the argument that some patients bring an even higher risk and that can be defined as double or triple hit MM.Entities:
Mesh:
Year: 2020 PMID: 32249811 PMCID: PMC7136246 DOI: 10.1038/s41598-020-62885-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic Clinical Characteristics of the Patients.
| No high risk Cytogenetic abnormality (n = 126) | One high Risk Cytogenetic Abnormality (n = 24) | Two High Risk Cytogenetic Abnormalities (n = 7) | Three High Risk Cytogenetic Abnormalities (n = 2) | Total (n = 159) | |
|---|---|---|---|---|---|
| Age (years) | 64.5 ± 11.5 | 65.4 ± 9.4 | 61.6 ± 9.9 | 71.0 ± 4.2 | 64.6 ± 11.1 |
Gender (male/female) | 60/66 | 12/12 | 2/5 | 2/0 | 76/83 |
| ISS stage at diagnosis | |||||
| Stage 1 | 70 (%58.8) | 1 (%4.3) | 0 | 0 | 71(%47.0) |
| Stage 2 | 44 (%37.0) | 9 (%34.8) | 1 (%14.3) | 0 | 53(%35.1) |
| Stage 3 | 5 (%4.2) | 14 (%60.9) | 6 (%85.7) | 2 (%100.0) | 27(%17.9 |
| First Line Treatment | |||||
| VCD | 75 (%59.5) | 14(%58.3) | 7 (%100.0) | 2(%100.0) | 98(%61.6) |
| VD | 25 (%19.8) | 3 (%12.5) | 0 | 0 | 28(%17.6) |
| VTD-PACE | 0 | 3 (%12.5) | 0 | 0 | 3(%1.9) |
| Others | 26 (%20.7) | 4 (%16.7) | 0 | 0 | 30(%18.9) |
| Upfront ASCT | 39 (%31.0) | 7 (%29.2) | 1 (%14.3) | 0 | 47(%29.6) |
| Follow Up Time (moths) | 39.3 (5–69) | 26.8 (4–54) | 6.6 (1–10) | — | |
| Overall Survival (months) | 57.0 ± 9.6 | 32.0 ± 25.6 | 6 ± 4.2 | — | 50.0 ± 11.0 |
Cox Regression Models for the Effect of High Risk Abnormalities on Overall Survival and Hazard Ratios.
| Hazard Ratio (95% CI) | p Value | |
|---|---|---|
| Patients With One High Risk Cytogenetic Abnormality | 1.42 (% 95 CI 0.77–2.63) | 0.255 |
| Patients With Two High Risk Cytogenetic Abnormalities | 5.55 (% 95 CI 2.09–14.58) | 0.001 |
| Patients With Three High Risk Cytogenetic Abnormalities | 7.34 (% 95 CI 1.72–31.14) | 0.007 |
Figure 1Kaplan Meier Overall Survival Analysis of the Patients with High Risk Abnormalities; including double hit and triple hit patients.
Cox regression models of each high risk abnormality on overall survival estimate and hazard ratios.
| Hazard Ratio (95% CI) | p Value | |
|---|---|---|
| 17p del (number:21) | 0.47 (0,25–0,87) | 0.017 |
| Gain of 1q (number:4) | 0.46 (0,44–0,63) | 0.009 |
| t (4;14) (number:10) | 0.49 (0,20–1,11) | 0.100 |
| t (14;16) (number:9) | 0.86 (0,34–2,18) | 0.764 |
| t (14;20) (number:1) | 0.91 (0,85–9,73) | 0.939 |