m+Medelevator.RU
← Поиск публикаций
Journal of blood medicine · 2022

Risk Assessment for Newly Diagnosed Fit Young Patients with Multiple Myeloma in the Era of Novel Treatment Modalities: Should There Be Additional Factors Taken into Consideration??

Название и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Kaloyannidis P, Abdulla F, Mutahar E, Al Hashim H, Al Harbi S, Estanislao A, Al Hashmi H

Аннотация

IntroductionThe optimal treatment for young patients with high-risk newly diagnosed multiple myeloma (NDMM) remains a challenge.MethodsWe retrospectively evaluated 58 NDMM patients younger than 55 years treated in our center from 2010 to 2021 with the current recommended protocols.ResultsAfter a median follow-up of 48 months, median overall survival (OS) was not reached; however, approximately 25% of them died within 4 years after diagnosis. Advanced disease stage, presence of extramedullary disease, elevated LDH, and less than very good remission before autologous hematopoietic stem-cell transplantation adversely affected patient survival. Based on these factors, we created a risk-assessment scoring system that sufficiently discriminated young NDMM patients at risk of poor outcome. The 4-year OS was superior for patients with zero to two factors to those with three to five factors (86% vs 44%, pConclusionThe proposed scoring system could be reliably used at diagnosis and at interim disease evaluation in aiming for personalized treatment for young NDMM patients.

Перевод полного текста: Перевод в очереди

Читать найденный полный текст

https://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/ ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php ).

Introduction

Multiple myeloma (MM) is the second–most common hematological malignancy, accounting for approximately 13% of all malignant hematological disorders. 1 The current therapeutic protocols using combinations of novel agents (proteasome inhibitors, immunomodulatory drugs, monoclonal antibodies) along with dexamethasone plus or without autologous stem-cell transplantation (AHSCT) indisputably result in prolonged survival rates and better quality of life; however, the disease remains incurable. 2–4 The truth is that clinical trials with the innovative agents have been designed with a focus on the median age of newly diagnosed MM (NDMM) patients, which is approximately 65–70 years. 5–9 However, 40% of NDMM patients are aged <65 years and around 15%–17% <55 years, which raises the question of whether young NDMM (Y-NDMM) patients, especially those with high-risk disease, should be treated with the same rationale as older patients or those with standard-risk MM. Also, how can Y-NDMM patients, who may need more intensive treatment approaches, be easily and early identified? 10–19

In this retrospective study, we reviewed outcomes of NDMM patients who had been treated in our center with the current recommended treatment protocols. 19–21 Focusing on the clinical course and ultimate outcome in younger patients (≤55 years), we created a risk-assessment scoring system (MM-RASS) based on just five easily assessable parameters (sex, serum lactate dehydrogenase [LDH] levels, stage as per the International Staging System [ISS], presence of extramedullary disease [EMD], and response to initial treatment), which were found to have a strong impact on survival rates. This novel MM-RASS was validated in Y-NDMM patients (≤55 years) and proved to be efficient and reliable in discriminating patients with poor outcomes who might have benefited from more intensive treatment approaches.

Methods

Study Design

Following the Declaration of Helsinki for ethical principles and after King Fahad Specialist Hospital’s Institutional Review Board approval, we retrospectively evaluated the records of 116 NDMM patients who had been treated in our department during the last decade and had had a minimum of 6 months follow-up. All had signed informed-consent forms regarding the diagnostic procedures, treatment approaches, and use of their clinical data for research purposes. Patients with asymptomatic/smoldering MM, plasma-cell leukemia, or inadequate data regarding disease characteristics or disease response after the initial treatment were excluded from the study. Patients considered too frail for treatment as per primary physician assessment (based on age, comorbidities, and inability to tolerate duplet or triplet therapies) were also excluded from the study. Because a considerable number of patients had missing cytogenetic/molecular data, for statistical analysis purposes, we used the International Staging System (ISS) instead of the revised ISS (R-ISS). 10 , 11 All patients received initial treatment with combinations of a proteasome inhibitor (bortezomib) plus immunomodulatory drugs (lenalidomide or thalidomide) or cyclophosphamide with dexamethasone with or without AHSCT. Disease response was evaluated after three or four cycles of treatment, and remission status was defined as per International Myeloma Working Group (IMWG) criteria. 22

Statistical Analysis

SPSS version 22 was used for the statistical analysis. The Kaplan–Meier method with log-rank test and Cox regression analysis, crosstabs, and Student’s independent t -test were used to estimate survival rates and to identify potential risk factors for patient outcomes. Overall survival (OS) was defined as the duration from the day of diagnosis until death or the date of last follow-up for surviving patients. Relapse/progression was defined as the period from treatment initiation till the first documentation of disease recurrence, while progression-free survival was defined as the period from treatment initiation till the first documentation of disease recurrence or the last follow-up for non-relapsed/progressed patients. For the purposes of this study, disease reappearance within 18 months post–treatment initiation was defined as early relapse/progression. Non–disease-related mortality (NDRM) was defined as any cause of death other than related to refractory MM. Patients’ sex, age, LDH levels, ISS stage, cytogenetic profile, presence of EMD at diagnosis, response to initial treatment, and early relapse were analyzed as risk factors affecting the survival rates. Factors with missing data for >20% of patients were not incorporated in the statistical analysis.

Patient Characteristics

In all, 67 male and 49 female NDMM patients who fulfilled the aforementioned criteria were included in the analysis. Median age at diagnosis was 55 (30–85) years. The male:female ratio was 1.3:1. A total of 25 patients had elevated LDH levels, eleven poor cytogenetic characteristics at diagnosis (del[17p] four, del[13q] five, t[4;14] two), whereas for 23 (20%) karyotypic analysis either failed or was not available. According to the ISS, 51 were assessed as stage III, 47 as stage II, and 17 as stage I. Among stage III patients, 13 had LDH in upper to normal ranges (reference lab values 125–220 IU/L), two had poor cytogenetic characteristics (17p[del]), while for five, karyotypic analysis had failed. Based on the R-ISS, eleven patients had stage I, 78 stage II and 16 stage III, while for eleven patients, staging was not able to be calculated as per the R-ISS due to unavailable data. Twelve (10%) patients presented with EMD at diagnosis, which was confirmed by imaging tests (CT, MRI, or PET/CT) and from tissue biopsy if feasible. IgG isotype (83/116) and k light chain (78/116) were the dominant MM subtypes. We did not find any statistical difference between younger and older (than 55 years) NDMM patients regarding sex, disease stage, EMD presence, high LDH levels, high β 2 microglobulin (B2M) levels or high-risk cytogenetics. However, in the group of patients >55 years old, a significantly higher number had albumin levels <3.5 g/dL at disease diagnosis ( Table 1 ). Table 1 Patient and disease characteristics, treatment approaches, and response to treatment for all patients (n=116) patients and those aged ≤55 years and >55 years Total (n=116) Patients aged ≤55 years (n=58) Patients aged >55 years (n=58) p Age (median) 55 years 46.5 years 65.5 years Sex Male 67 30 37 ns Female 49 28 21 LDH Upper normal 25 14 11 ns Within normal 88 43 45 High-risk cytogenetics 11 7 4 ns Albumin >3.5 g/dL 34 26 8 <0.0001 ≤3.5 g/dL 80 32 48 EMD Yes 19 9 10 ns No 96 48 48 B2M ≥3.5 76 41 35 ns <5.5 39 17 22 Stage (ISS) I–II 64 34 30 ns III 51 24 27 MM subtype IgG 83 41 42 IgA 14 5 9 FLC 16 10 6 ns k-LC 78 39 39 λ-LC 35 17 18 Nonsecretory 2 1 1 CCT VRD 53 26 27 VCD 31 17 14 VTD 7 5 2 VD 16 10 6 ns RD 5 — 5 Other 4 — 4 ORR Yes 96 51 45 ns No 20 7 13 CR + sCR 43 22 21 ns ≥VGPR 71 36 35 <VGPR 46 23 23 AHSCT (conditioning regimen: high-dose melphalan) Yes 74 53 21 <0.001 No 42 5 37 Abbreviations : EMD, extramedullary disease; B2M, β 2 microglobulin; ISS, International Staging System; ORR, overall response rate; FLC, free light chain; CCT, conventional chemotherapy; VRD, bortezomib–lenalidomide–dexamethasone; VCD, bortezomib–cyclophosphamide–dexamethasone; VTD, bortezomib–thalidomide–dexamethasone; BD, bortezomib–dexamethasone; RD, lenalidomide–dexamethasone; VGPR, very good partial remission; AHSCT, autologous stem-cell transplantation.

Table 1
Patient and disease characteristics, treatment approaches, and response to treatment for all patients (n=116) patients and those aged ≤55 years and >55 years
Abbreviations : EMD, extramedullary disease; B2M, β 2 microglobulin; ISS, International Staging System; ORR, overall response rate; FLC, free light chain; CCT, conventional chemotherapy; VRD, bortezomib–lenalidomide–dexamethasone; VCD, bortezomib–cyclophosphamide–dexamethasone; VTD, bortezomib–thalidomide–dexamethasone; BD, bortezomib–dexamethasone; RD, lenalidomide–dexamethasone; VGPR, very good partial remission; AHSCT, autologous stem-cell transplantation.

Total (n=116)Patients aged ≤55 years (n=58)Patients aged >55 years (n=58)p
Age (median)55 years46.5 years65.5 years
Sex
Male673037ns
Female492821
LDH
Upper normal251411ns
Within normal884345
High-risk cytogenetics1174ns
Albumin
>3.5 g/dL34268<0.0001
≤3.5 g/dL803248
EMD
Yes19910ns
No964848
B2M
≥3.5764135ns
<5.5391722
Stage (ISS)
I–II643430ns
III512427
MM subtype
IgG834142
IgA1459
FLC16106ns
k-LC783939
λ-LC351718
Nonsecretory211
CCT
VRD532627
VCD311714
VTD752
VD16106ns
RD5—5
Other4—4
ORR
Yes965145ns
No20713
CR + sCR432221ns
≥VGPR713635
<VGPR462323
AHSCT (conditioning regimen: high-dose melphalan)
Yes745321<0.001
No42537

Treatment Approaches

The majority of patients received a median four (three to 12) cycles of combined therapy with bortezomib, lenalidomide, and dexamethasone (VRD; n=53), bortezomib, cyclophosphamide, and dexamethasone (VCD, n=31), bortezomib, thalidomide, and dexamethasone (VDT, n=7), or bortezomib or lenalidomide plus dexamethasone (n=21). As per the treatment plan, early AHSCT was offered to all eligible and fit-enough individuals (shown in Table 1 ).

Results

At data-collection cutoff, median follow-up for the surviving patients was 48 (6.5–132) months. The overall response rate (ORR) after frontline treatment was 83%: 43 (37%) achieved stringent complete remission (sCR) or CR, 28 (24%) very good partial remission (VGPR), 26 (22%) PR, and 20 (17%) were assessed as having stable or progressive disease. Eventually, 74 of 116 (65%) patients underwent early ASCHT. The reasons for not performing ASCHT were age >70 years (15%, n=17), disease refractoriness (9%, n=10), severe comorbidities, or patient refusal (13%, n=15; Table 1 ).

Median OS was not reached, and projected 4- and 8-year OS was 67% and 51%, respectively. Median time to disease relapse/progression was 46 months, while the 4- and 8-year probability of disease recurrence was 52% and 75%, respectively ( Figure 1A and B ). For the whole cohort (n=116), on univariate analysis, advanced stage (ISS stage III), elevated LDH levels, response of less than VGPR pre-AHSCT, presence of EMD at diagnosis, and early disease relapse/progression had an adverse impact on survival rates, while disease recurrence was negatively affected only by less than VGPR achievement pre-AHSCT (shown in Table 2A ). On multivariate analysis, only LDH level upper to normal was found to be an independent factor for inferior long-term OS, whereas age >55 years and achievement of less than VGPR pre-AHSCT adversely influenced disease relapse/progression. Finally, 38 patients died. A majority of them (31 of 38, 82%) succumbed to uncontrolled disease and seven died from NDR causes. The 10-year NDRM rate was estimated to be 6%. Table 2 Univariate and multivariate analysis of factors affecting survival and disease/progression incidence in multiple myeloma patients A. Univariate analysis Whole cohort (n=116) Survival Relapse/progression Relative risk (95% CI) p Relative risk (95% CI) p Age >55 years 1.10 (0.85–1.4) 0.2 1.03 (0.70–1.50) 0.5 Female sex 1.17 (0.89–1.53) 0. 16 1.13 (0.76–1.68) 0.32 Advanced stage (ISS:3) 1.31 (0.99–1.79) 0.03 1.38 (0.92–2.08) 0.07 LDH upper normal 2.14 (1.30–3.51) 0.006 1.26 (0.86–1.84) 0.18 EMD at diagnosis 1.80 (1.06–3.06) 0.04 1.15 (0.75–1.78) 0.35 <VGPR achievement pre-AHSCT 1.31 (0.98–1.7) 0.03 1.64 (1.05–2.50) 0.014 Early relapse 3.44 (1.9–6.12) <0.001 No AHSCT 1.38 (0.78–2.4) 0.2 0.97 (0.6–1.6) 0.6 B. Univariate analysis Patients ≤55 years of age (n=58) Survival Relapse/progression Relative risk (95% CI) p Relative risk (95% CI) p Female sex 1.45 (1.01–2.08) 0.05 1.6 (0.91–2.80) 0.045 Advanced stage (ISS III) 1.51 (1.01–2.21) 0.021 1.30 (0.74–2.3) 0.24 LDH upper normal 2.38 (1.09–5.22) 0.04 1.83 (1.17–2.85) 0.02 EMD at diagnosis 1.64 (0.69–3.80) 0.01 1.10 (0.65–2.10) 0.03 <VGPR achievement pre-AHSCT 0.99 (0.66–1.29) 0.44 1.04 (0.65–1.80) 0.54 Early relapse 1.51 (0.69–3.31) 0.23 No AHSCT 0.87 (0.54–1.40) 0.53 1.25 (0.41–3.78) 0.51 MM-RASS 1.85 (1.0803.1) <0.001 1.78 (0.83–3.41) 0.02 C. Multivariate analysis Patients ≤55 years of age (n=58) Survival Relapse/progression Hazard ratio (95% CI) p Hazard ratio (95% CI) p MM-RASS 4.59 (1.58–13.3) 0.004 2.46 (1.11–5.43) 0.031 Female sex 7.10 (1.6–30.05) 0.002 2.3 (0.88–6.27) 0.086 Early relapse 0.032 (0.005–017) < 0.001 Advanced stage (ISS III) 2.6 (0.41–15.41) 0.28 1.88 (0.62–5.69) 0.26 LDH upper normal 0.40 (0.039–4.20) 0.45 0.43 (0.13–3.89) 0.16 EMD at diagnosis 0.1 (0.014–2.30) 0.1 1.10 (0.65–2.10) 0.13 <VGPR achievement pre-AHSCT 1.2 (0.17–8.86) 0.83 1.00 (0.37–2.68) 0.54 No AHSCT 0.64 (0.27–15.5) 0.80 8.5 (1.80–40.03) 0.007 Notes : A: Whole cohort. B: Patients aged ≤55 years. C: Patients aged ≤55 years. MM-RASS demonstrated as an independent significant factor for both survival rates (along with sex and relapse/progression within 18 months postdiagnosis) and relapse/progression incidence (along with AHSCT). Abbreviations : ISS, International Staging system; LDH, lactic acid dehydrogenase; EMD, extramedullary disease; MM-RASS, multiple myeloma risk-assessment scoring system; VGPR, very good partial remission; AHSCT, autologous stem-cell transplantation. Figure 1 ( A ) Overall survival for the total cohort of patients (n=116, solid line) and those aged ≤55 years (n=58, dotted line), and >55 years (n=58, dashed line). ( B ) Relapse/progression of disease for the total cohort of patients (n=116, solid line), and those aged ≤55 years (n=58, dotted line) and >55 years (n=58, dashed line). Abbreviations : NR, not reached; mos, months.

Table 2
Univariate and multivariate analysis of factors affecting survival and disease/progression incidence in multiple myeloma patients
Notes : A: Whole cohort. B: Patients aged ≤55 years. C: Patients aged ≤55 years. MM-RASS demonstrated as an independent significant factor for both survival rates (along with sex and relapse/progression within 18 months postdiagnosis) and relapse/progression incidence (along with AHSCT). Abbreviations : ISS, International Staging system; LDH, lactic acid dehydrogenase; EMD, extramedullary disease; MM-RASS, multiple myeloma risk-assessment scoring system; VGPR, very good partial remission; AHSCT, autologous stem-cell transplantation.

A. Univariate analysisWhole cohort (n=116)
SurvivalRelapse/progression
Relative risk (95% CI)pRelative risk (95% CI)p
Age >55 years1.10 (0.85–1.4)0.21.03 (0.70–1.50)0.5
Female sex1.17 (0.89–1.53)0. 161.13 (0.76–1.68)0.32
Advanced stage (ISS:3)1.31 (0.99–1.79)0.031.38 (0.92–2.08)0.07
LDH upper normal2.14 (1.30–3.51)0.0061.26 (0.86–1.84)0.18
EMD at diagnosis1.80 (1.06–3.06)0.041.15 (0.75–1.78)0.35
<VGPR achievement pre-AHSCT1.31 (0.98–1.7)0.031.64 (1.05–2.50)0.014
Early relapse3.44 (1.9–6.12)<0.001
No AHSCT1.38 (0.78–2.4)0.20.97 (0.6–1.6)0.6
B. Univariate analysisPatients ≤55 years of age (n=58)
SurvivalRelapse/progression
Relative risk (95% CI)pRelative risk (95% CI)p
Female sex1.45 (1.01–2.08)0.051.6 (0.91–2.80)0.045
Advanced stage (ISS III)1.51 (1.01–2.21)0.0211.30 (0.74–2.3)0.24
LDH upper normal2.38 (1.09–5.22)0.041.83 (1.17–2.85)0.02
EMD at diagnosis1.64 (0.69–3.80)0.011.10 (0.65–2.10)0.03
<VGPR achievement pre-AHSCT0.99 (0.66–1.29)0.441.04 (0.65–1.80)0.54
Early relapse1.51 (0.69–3.31)0.23
No AHSCT0.87 (0.54–1.40)0.531.25 (0.41–3.78)0.51
MM-RASS1.85 (1.0803.1)<0.0011.78 (0.83–3.41)0.02
C. Multivariate analysisPatients ≤55 years of age (n=58)
SurvivalRelapse/progression
Hazard ratio (95% CI)pHazard ratio (95% CI)p
MM-RASS4.59 (1.58–13.3)0.0042.46 (1.11–5.43)0.031
Female sex7.10 (1.6–30.05)0.0022.3 (0.88–6.27)0.086
Early relapse0.032 (0.005–017)< 0.001
Advanced stage (ISS III)2.6 (0.41–15.41)0.281.88 (0.62–5.69)0.26
LDH upper normal0.40 (0.039–4.20)0.450.43 (0.13–3.89)0.16
EMD at diagnosis0.1 (0.014–2.30)0.11.10 (0.65–2.10)0.13
<VGPR achievement pre-AHSCT1.2 (0.17–8.86)0.831.00 (0.37–2.68)0.54
No AHSCT0.64 (0.27–15.5)0.808.5 (1.80–40.03)0.007
Figure 1 ( A ) Overall survival for the total cohort of patients (n=116, solid line) and those aged ≤55 years (n=58, dotted line), and >55 years (n=58, dashed line). ( B ) Relapse…
Figure 1 ( A ) Overall survival for the total cohort of patients (n=116, solid line) and those aged ≤55 years (n=58, dotted line), and >55 years (n=58, dashed line). ( B ) Relapse/progression of disease for the total cohort of patients (n=116, solid line), and those aged ≤55 years (n=58, dotted line) and >55 years (n=58, dashed line). Abbreviations : NR, not reached; mos, months.

Patients ≤55 Years Old

A total of 58 patients were aged ≤55 years at the time of disease diagnosis: 48 (83%) received VRD (n=26), VCD (n=17), or VTD (n=5), and ten (17%) received only the VD combination ( Table 1 ). The ORR was superior for patients aged ≤55 years (88% vs 78%); however, this difference was not statistically significant ( p =0.15), while sCR and CR rates were similar (38% vs 36%; Table 1 ). Given their fitness and the lower incidence of comorbidities, it was expected that the vast majority of patients ≤55 years (n=53, 91%) underwent AHSCT.

All in all, 29 patients found to have disease progression/recurrence (either biochemically only or along with clinical symptoms) after a median of 49 months. The 4- and 8-year probability of disease relapse/progression was 47% and 79%, respectively ( Figure 1B ). Patients with clinical symptoms or who had only biochemical relapse/progression but experienced fast disease turnover were salvaged with combinations of carfilzomib plus pomalidomide, while lenalidomide was used for those patients who did not receive lenalidomide as frontline treatment. Only a minority of relapsed/progressed patients received daratumumab-based regimens, since this agent has been available for only the last 3 years in our center.

Median OS for the subgroup of patients aged ≤55 years was not reached, while 4- and 8-year OS was only marginally superior thano those >55 years (75% vs 61% and 53% vs 50%, respectively, p =0.3; Figure 1A ). However, based on the OS analysis, it was also conspicuous that a considerable number of the younger patients (eleven of 58) died within 4 years after diagnosis. The 4-year probability of death was estimated to be 25%, and in nine of eleven, death was attributed to uncontrolled MM. Median time from disease recurrence to death was 18.5 (3–31) months, despite the fact that they were salvaged with worldwide recommended therapeutic protocols. Two patients died from NDR causes (SARS-CoV-2 and car accident).

Contributing Factors in Survival of NDMM Patients ≤55 Years Old and Risk-Assessment System

Similarly to previously published studies, in our group of Y-NDMM patients, advanced disease stage (ISS III), LDH levels higher than the upper normal limit, and EMD at diagnosis were identified as negatively contributing factors to prolonged survival. 10 , 11 , 22–28 Although the male preponderance in MM patients is a well-known phenomenon, in patient aged ≤55 years, the male:female ratio was similar (30:28). 17 However, an interesting finding was that young female patients demonstrated significantly inferior survival rates to male patients, with projected 4- and 8-year OS of 65% vs 76% and 35% vs 76%, respectively ( p =0.05). Karyotypic analysis was available for almost 90% of patients ≤55 years old. Only seven (12%) had high-risk karyotypes, and presumably for this reason high-risk cytogenetics unexpectedly showed no impact on OS in this group of patients. Nevertheless, five of seven with high-risk cytogenetics relapsed in a median of 20 (3–33) months. Based on these clinical findings, we created a novel risk-assessment system for Y-NDMM patients (MM-RASS), using five risk factors: female sex, LDH levels higher than the normal limit, EMD at presentation, ISS stage III, and less than VGPR achievement prior to AHSCT. Although in patients aged <55 years, achievement of VGPR prior to AHSCT showed no statistically significant impact on survival rates, we chose to incorporate the response rates after frontline treatment in the proposed MM-RASS as an indicator of disease kinetics. 30–33 With regard to OS, no significant differences were found for patients with zero, one, or two factors; however, for those with more than two factors, the outcome was extremely dismal. Therefore, we separated patients in two groups: those with zero to two factors (n=40, favorable group) and those with three or more factors (n=18, unfavorable group). The favorable group achieved significant better 4- and 8-year OS of 86% and 70%, respectively, and median OS was not reached, while for the unfavorable group 4- and 8-year OS was 44% and 18%, respectively, and median OS estimated to be 46 months ( p <0.001, Figure 2A ). More importantly, in the Cox proportional hazard model, the MM-RASS emerged as an independent predictive factor for prolonged survival ( p =0.004, Table 2C ). The MM-RASS was also studied as a predictive factor for disease recurrence. On univariate analysis, median time to relapse/progression was 2.5-fold shorter for the unfavorable group than the favorable group (25 vs 60 months, p =0.02), while on multivariate analysis the MM-RASS proved also to be an independent prognostic factor for disease relapse/progression ( p =0.031, Figure 2B and Table 2C ). Figure 2 ( A ) Overall survival for patients aged ≤55 years according to the MM-RASS: total cohort (n=58, solid line), favorable score (n=40, dotted line), and unfavorable score (n=18, dashed line). ( B ) Relapse/progression of disease for patients aged ≤55 years according to the MM-RASS: total cohort of patients (n=58, solid line), favorable score (n=40, dotted line), and unfavorable score (n=18, dashed line). Abbreviations : NR, not reached; mos, months; MM-RASS, multiple myeloma risk-assessment scoring system.

Figure 2 ( A ) Overall survival for patients aged ≤55 years according to the MM-RASS: total cohort (n=58, solid line), favorable score (n=40, dotted line), and unfavorable score (…
Figure 2 ( A ) Overall survival for patients aged ≤55 years according to the MM-RASS: total cohort (n=58, solid line), favorable score (n=40, dotted line), and unfavorable score (n=18, dashed line). ( B ) Relapse/progression of disease for patients aged ≤55 years according to the MM-RASS: total cohort of patients (n=58, solid line), favorable score (n=40, dotted line), and unfavorable score (n=18, dashed line). Abbreviations : NR, not reached; mos, months; MM-RASS, multiple myeloma risk-assessment scoring system.

Comparison Between ISS and MM-RASS

Five patients who had been assessed with non-advanced disease (ISS stage I or II) were escalated to the unfavorable group as per the proposed MM-RASS: three of five (60%) died early due to disease relapse/progression at 20, 30, and 32 months postdiagnosis. On the other hand, eleven patients with advanced disease (ISS III) were de-escalated to the favorable group as per the MM-RASS, and interestingly only three of eleven (27%) succumbed to relapse/progression at 46, 55, and 84 months after disease diagnosis. Survival rates were similar for the non–high-risk patients (ISS I–II or favorable MM-RASS). Median OS was not reached for either system, 4-year OS was 80% vs 86% and 8-year OS was 75% vs 70% for the ISS and MM-RASS, respectively. For high-risk patients (ISS III or MM-RASS unfavorable), median OS was 55 vs 44 months, 4-year OS 56% vs 44%, and 8-year OS 26% vs 18% for the ISS and MM-RASS, respectively ( p =0.25, Figure 3A ). Although the MM-RASS discriminated patients at high-risk for relapse/progression better than the ISS (4- and 8-year relapse/progression incidence 68% vs 80% and 84% vs 90% and median time for disease relapse/progression 34 months vs 25 months for ISS III and MM-RASS unfavorable, respectively), this superiority was not statistically significant ( p =0.3, Figure 3B ). Figure 3 ( A ) Overall survival for patients with ISS I–II (n =34, solid line) and ISS III (n=24, dashed line) versus patients with favorable MM-RASS score (n=40, dotted line) and unfavorable MM-RASS score (n=18, dot/dashed line). The differences were not statistically significant. ( B ) Relapse/progression of disease for patients with ISS I–II (n =34, solid line) and ISS III (n=24, dashed line) versus patients with favorable MM-RASS score (n=40, dotted line) and unfavorable MM-RASS score (n=18, dotted/dashed line). The differences were not statistically significant. Abbreviations : NR, not reached; mos, months; ISS, International Staging System; MM-RASS, multiple myeloma risk-assessment scoring system; Fav, favorable; Unfav, unfavorable.

Figure 3 ( A ) Overall survival for patients with ISS I–II (n =34, solid line) and ISS III (n=24, dashed line) versus patients with favorable MM-RASS score (n=40, dotted line) and…
Figure 3 ( A ) Overall survival for patients with ISS I–II (n =34, solid line) and ISS III (n=24, dashed line) versus patients with favorable MM-RASS score (n=40, dotted line) and unfavorable MM-RASS score (n=18, dot/dashed line). The differences were not statistically significant. ( B ) Relapse/progression of disease for patients with ISS I–II (n =34, solid line) and ISS III (n=24, dashed line) versus patients with favorable MM-RASS score (n=40, dotted line) and unfavorable MM-RASS score (n=18, dotted/dashed line). The differences were not statistically significant. Abbreviations : NR, not reached; mos, months; ISS, International Staging System; MM-RASS, multiple myeloma risk-assessment scoring system; Fav, favorable; Unfav, unfavorable.

Discussion

The advent of novel agents has completely altered the clinical course of MM, improving patients’ quality of life and survival rates; however, they have failed to put an end to the typical course of repeated relapses, which inevitably lead to death due to uncontrolled disease. Since MM is typically a disease of elderly people, scant data exist regarding the long-term efficacy of the currently used treatment protocols for Y-NDMM patients, especially for those with high-risk characteristics. In our study group, the median age of 55 years was lower than the reported median age in other published studies from the US and Europe, apparently because <5% of Saudis are aged >65 years, while the vast majority of patients had been treated with the current recommended protocols. 19–21 , 34

It is ambiguous whether Y-NDMM patients have different disease characteristics from older patients. In the largest published study, which evaluated more than 10,000 NDMM patients, female sex, advanced ISS stage, elevated B2M, and low albumin were more frequent in patients aged >50 years, while LDH levels did not differ significantly between the two groups. 35 In our study, though with a smaller patient series, we did not observe any significant differences between patients younger or older than 55 years in terms of sex, advanced stage, B2M, levels of LDH, or presence of EMD at diagnosis, and we only observed low albumin levels more often in patients aged >55 years.

In disagreement with other studies, we observed only slightly better OS for patients aged ≤55 years than those aged >55 years. 35 , 36 Possible explanations for this marginal OS superiority could be that the treatment protocols used were effective enough to get over the adverse impact of older age and that only 25% of our patients were older than 65 years. In the few studies designed for young patients, the only available data regarding the impact of novel agents on the outcome of younger patients come from studies with AHSCT-eligible patients. 19 Undoubtedly, over the last few years OS has been prolonged to 7–10 years for transplant-eligible individuals. However, looking at the opposite edge of the survival curves, the indisputable fact is that even for this favorable age-group, the probability of death within 4–5 years post-MM diagnosis is approximately 20%–30%. 35–40 In Ludwig et al study, autografted patients with aged <50 years demonstrated 4-year probability of death of approximately 30%. Nevertheless, it should be noted that patients were treated between 1981 and 2002 and thus novel triplet or quadruplet combinations were not in use. 35 Similarly, in a more recent multicenter study on NDMM up to 30 years, the 5-year risk of death was approximately 23%, but the evaluation period was 1989–2016, so the currently used treatment protocols were not available for a considerable number of patients. 40 In another study from Israel on a small series of Y-NDMM patients who received bortezomib-based therapy, eventually all patients relapsed shortly after treatment in a median 12 months. No deaths were reported, but it should be kept in mind that follow-up of the surviving patients was not mentioned in the study. 41

In our study with 58 patients aged ≤55 years treated with widely accepted triplet therapies and salvaged with novel agents and with quite prolonged follow-up, we found that the probability of death within 4 years post-diagnosis was 25%. This result confirms that the heterogeneity of disease outcome is not only a characteristic of older but also of younger patients. On uni- and multivariate analyses, we found that female sex, elevated LDH, presence of EMD at diagnosis, and ISS stage III after frontline treatment were strongly associated with poor outcomes. Disease response of less than VGPR after initial treatment was also associated with inferior survival rates, though with no statistical significance, probably due to the number of patients and/or because of therapies given to control relapsed disease post-AHSCT.

Data on the impact of patient sex on outcomes in MM are conflicting. A survey from the UK and an analysis from the International Myeloma Working Group reported similar survival rates for male and female MM patients. 18 , 35 However, in the MRC Myeloma IX phase III clinical trial that evaluated 1,960 patients, significantly better median OS for male patients was observed (49.9 vs 44.8 months, p =0.02). The inferior survival of female patients was correlated with higher prevalence of poor prognosis and cytogenetic abnormalities. 42 In our whole cohort (n=116), patient sex had no significant impact on survival or relapse/progression ( Table 2A ), but in Y-NDMM patients, similarly to the MRC Myeloma IX trial, female patients had poorer outcomes ( Table 2B and C ).

Elevated LDH levels suggest aggressive disease and usually indicate extramedullary and/or extraosseous MM, which is associated with shorter OS. 11 , 23 , 24 In our Y-NDMM group, high LDH was correlated with a strong trend for inferior outcomes ( Table 2A and B ). There is increasing evidence that EMD represents a poor prognostic factor in MM. Although satisfying responses can be achieved with novel agent combinations, they are not sustainable and relapses are common, even after consolidation with AHSCT. 25–27 In our patient series, in agreement with previous reports, the presence of EMD at diagnosis was associated with poor prognosis. It is generally accepted that achievement of CR or VGPR before AHSCT is not a mandatory objective for prolonged OS, but it has also been well documented that the deeper the response prior AHSCT, the better the outcome. 30–33 , 43 We found that the achievement of at least VGPR was a favorable predictor of prolonged survival in both the whole group and <55-year-old patients, though it was not statistically significant ( Table 2A–C ).

An advantage of our proposed MM-RASS is that all the factors are easily assessable in any hematology center, not requiring special or laborious processing. A limitation could be the nonincorporation of cytogenetics or molecular characteristics in the proposed system. The high number of patients (20% of the whole cohort) lacking cytogenetic profiles did not allow us to incorporate cytogenetics in the proposed MM-RASS. 16 This fact, at least partially, reflects the difficulty of analyzing cytogenetically NDMM patients because of the low proliferation rate of the malignant clone. 44 The sensitivity of interphase fluorescence in situ hybridization analysis does not require cell proliferation, but is sometimes affected by the low percentage of malignant plasma cells in whole-bone marrow samples. Therefore, for accurate cytogenetic/molecular results, more specific, laborious, and costly methods are required, which are eventually infeasible for several centers lacking specialized laboratory and experienced staff. 45 , 46

The MM-RASS showed better predictability of OS and relapse/progression incidence than the ISS, though the differences were not statistically significant. A plausible explanation for the better discrimination with the MM-RASS could be that two more factors with well-documented impact on MM outcome are additionally incorporated in the MM-RASS: EMD presence at diagnosis and response after frontline treatment, which reflects disease kinetics. 25–33 , 43 Moreover, since the proposed MM-RASS takes into account disease response prior to AHCT (three to four cycles following initial treatment), it could be used as a reliable interim risk-assessment system during the treatment course.

Conclusion

This retrospective analysis of 58 patients aged ≤55 years represents one of the few studies of Y-NDMM patients who have been treated with the currently recommended triplet or doublet therapies. Our results confirm that even in the contemporary era of MM treatment, the appropriate therapy for a considerable number of Y-NDMM patients remains a major challenge. The MM-RASS we propose herein, which is exclusively targeted at Y-NDMM patients, shows remarkable strength in discriminating younger patients at higher risk of dismal outcomes. The MM-RASS merits further investigation and validation in larger series of patients and could potentially serve as an additional tool not only for initial but also for interim risk assessment, thus increasing the capability of early identification of high-risk Y-NDMM patients who are candidates for more intensive treatment approaches.

Acknowledgments

The authors wish to thank Sudair Pharmaceutical Company for assistance with manuscript publication.

Data Sharing

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Author Contributions

All authors made a significant contribution to the work reported, whether is in conception, study design, execution, acquisition of data, analysis and interpretation, or all these areas, took part in drafting, revising, or critically reviewing the article, gave final approval to the version to be published, have agreed on the journal to which the article has been submitted, and agree to be accountable for all aspects of the work.

Disclosure

The authors declare no competing interests.

References

1. Raab MS , Podar K , Breitkreutz I , Richardson PG , Anderson KC . Multiple myeloma . Lancet . 2009 ; 374 ( 9686 ): 324 – 339 . doi: 10.1016/S0140-6736(09)60221-X 19541364

2. Palumbo A , Anderson K . Multiple Myeloma . N Engl J Med . 2011 ; 364 ( 11 ): 1046 – 1060 . doi: 10.1056/NEJMra1011442 21410373

3. Touzeau C , Moreau P , Dumontet C . Monoclonal antibody therapy in multiple myeloma . Leukemia . 2017 ; 31 ( 5 ): 1039 – 1047 . doi: 10.1038/leu.2017.60 28210004

4. Richardson PG , Laubach JP , Munshi NC , Anderson KC . Early or delayed transplantation for multiple myeloma in the era of novel therapy: does one size fit all? Hematology Am Soc Hematol Educ Program . 2014 ; 2014 ( 1 ): 255 – 261 . doi: 10.1182/asheducation.V2014.1.255.3885263 25696864

5. Anderson KC , Alsina M , Bensinger W , et al. NCCN clinical practice guidelines in oncology: multiple myeloma . J Natl Compr Canc Netw . 2009 ; 7 ( 9 ): 908 – 942 . doi: 10.6004/jnccn.2009.0061 19878637

6. Reeder CB , Reece DE , Kukreti V , et al. Cyclophosphamide, bortezomib and dexamethasone induction for newly diagnosed multiple myeloma: high response rates in a Phase II clinical trial . Leukemia . 2009 ; 23 ( 7 ): 1337 – 1341 . doi: 10.1038/leu.2009.26 19225538 PMC2711213

7. Richardson PG , Weller E , Lonial S , et al. Lenalidomide, bortezomib, and dexamethasone combination therapy in patients with newly diagnosed multiple myeloma . Blood . 2010 ; 116 ( 5 ): 679 – 686 . doi: 10.1182/blood-2010-02-268862 20385792 PMC3324254

8. Cavo M , Tacchetti P , Patriarca F , et al. Bortezomib with thalidomide plus dexamethasone compared with thalidomide plus dexamethasone as induction therapy before, and consolidation therapy after, double autologous stem‐cell transplantation in newly diagnosed multiple myeloma: a randomized Phase 3 study . Lancet . 2010 ; 376 ( 9758 ): 2075‐2085 . 10.1016/S0140-6736(10)61424-9 21146205

9. Jakubowiak AJ , Dytfeld D , Griffith KA , et al. A Phase 1/2 study of carfilzomib in combination with lenalidomide and low-dose dexamethasone as a frontline treatment for multiple myeloma . Blood . 2012 ; 120 ( 9 ): 1801 – 1809 . doi: 10.1182/blood-2012-04-422683 22665938 PMC5162553

10. Greipp PR , San Miguel J , Durie BG , et al. International staging system for multiple myeloma . J Clin Oncol . 2005 ; 23 ( 15 ): 3412 – 3420 . doi: 10.1200/JCO.2005.04.242 15809451

11. Palumbo A , Avet-Loiseau H , Oliva S , et al. Revised international staging system for multiple myeloma: a report from international myeloma working group . J Clin Oncol . 2015 ; 33 ( 26 ): 2863 – 2869 . doi: 10.1200/JCO.2015.61.2267 26240224 PMC4846284

12. Moreau P , Touzeau C , Vij R , Goldsmith SR , Rosko AE . Newly diagnosed Myeloma in 2020 . Am Soc Clin Oncol Educ Book . 2020 ; 40 : 1 – 15 . doi: 10.1200/EDBK_280221 32315239

13. Goldman-Mazur S , Kumar SK . Current approaches to management of high-risk multiple myeloma . Am J Hematol . 2021 ; 96 ( 7 ): 854 – 871 . doi: 10.1002/ajh.26161 33725367

14. Moreau P , Kumar SK , San Miguel J , et al. Treatment of relapsed and refractory multiple myeloma: recommendations from the International Myeloma Working Group . Lancet Oncol . 2021 ; 22 ( 3 ): e105 – e118 . doi: 10.1016/S1470-2045(20)30756-7 33662288

15. Kaufman JL . Roundtable: how I treat a newly diagnosed patient with high-risk myeloma . Hematology Am Soc Hematol Educ Program . 2019 ; 2019 ( 1 ): 120 – 124 . doi: 10.1182/hematology.2019000015 31808841 PMC6913472

16. Sonneveld P , Avet-Loiseau H , Lonial S , et al. Treatment of multiple myeloma with high-risk cytogenetics: a consensus of the International Myeloma Working Group . Blood . 2016 ; 127 ( 24 ): 2955 – 2962 . doi: 10.1182/blood-2016-01-631200 27002115 PMC4920674

17. Howlader N , Noone AM , Krapcho M , et al. Eds. SEER Cancer Statistics Review, 1975–2016 . Bethesda, MD, USA : National Cancer Institute ; 2018 . Available from: https://seer.cancer.gov/csr/1975_2016 .

18. Cancer Research UK Myeloma survival statistics ; 2014 . Available from: www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/myeloma/survival#heading-Two . Accessed October 4 , 2022 .

19. Gandolfi S , Prada CP , Richardson PG . How I treat the young patient with multiple myeloma . Blood . 2018 ; 132 ( 11 ): 1114 – 1124 . doi: 10.1182/blood-2017-05-693606 29967130

20. Kumar SK , Callander NS , Alsina M , et al. Multiple Myeloma, Version 3.2017, NCCN clinical practice guidelines in oncology . J Natl Compr Canc Netw . 2017 ; 15 ( 2 ): 230 – 269 . doi: 10.6004/jnccn.2017.0023 28188192

21. Mikhael JR , Dingli D , Roy V , et al. Management of newly diagnosed symptomatic multiple myeloma: updated Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) consensus guidelines 2013 . Mayo Clin Proc . 2013 ; 88 ( 4 ): 360 – 376 . doi: 10.1016/j.mayocp.2013.01.019 23541011

22. Kumar S , Paiva B , Anderson KC , et al. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma . Lancet Oncol . 2016 ; 17 ( 8 ): e328 – e346 . doi: 10.1016/S1470-2045(16)30206-6 27511158

23. Gkotzamanidou M , Kastritis E , Gavriatopoulou MR , et al. Increased serum lactate dehydrogenase should be included among the variables that define very-high-risk multiple myeloma . Clin Lymphoma Myeloma Leuk . 2011 ; 11 ( 5 ): 409 – 413 . doi: 10.1016/j.clml.2011.07.001 21903504

24. Chim CS , Sim J , Tam S , Tse E , Lie AK , Kwong YL . LDH is an adverse prognostic factor independent of ISS in transplant-eligible myeloma patients receiving bortezomib-based induction regimens . Eur J Haematol . 2015 ; 94 ( 4 ): 330 – 335 . doi: 10.1111/ejh.12434 25135740

25. Usmani SZ , Heuck C , Mitchell A , et al. Extramedullary disease portends poor prognosis in multiple myeloma and is over-represented in high-risk disease even in the era of novel agents . Haematologica . 2012 ; 97 ( 11 ): 1761 – 1767 . doi: 10.3324/haematol.2012.065698 22689675 PMC3487453

26. Gagelmann N , Eikema DJ , Iacobelli S , et al. Impact of extramedullary disease in patients with newly diagnosed multiple myeloma undergoing autologous stem cell transplantation: a study from the chronic malignancies working party of the EBMT . Haematologica . 2018 ; 103 ( 5 ): 890 – 897 . doi: 10.3324/haematol.2017.178434 29419433 PMC5927971

27. Jagosky MH , Usmani SZ . Extramedullary Disease in Multiple Myeloma . Curr Hematol Malig Rep . 2020 ; 15 ( 2 ): 62 – 71 . doi: 10.1007/s11899-020-00568-3 32198576

28. Majithia N , Rajkumar SV , Lacy MQ , et al. Early relapse following initial therapy for multiple myeloma predicts poor outcomes in the era of novel agents . Leukemia . 2016 ; 30 ( 11 ): 2208 – 2213 . doi: 10.1038/leu.2016.147 27211270 PMC5541860

29. Giralt S , Garderet L , Durie B , et al. American Society of Blood and Marrow Transplantation, European Society of Blood and Marrow Transplantation, Blood and Marrow Transplant Clinical Trials Network, and International Myeloma Working Group Consensus Conference on Salvage hematopoietic cell transplantation in patients with relapsed multiple myeloma . Biol Blood Marrow Transplant . 2015 ; 21 ( 12 ): 2039 – 2051 . doi: 10.1016/j.bbmt.2015.09.016 26428082 PMC4757494

30. Harousseau JL , Attal M , Avet-Loiseau H . The role of complete response in multiple myeloma . Blood . 2009 ; 114 ( 15 ): 3139 – 3146 . doi: 10.1182/blood-2009-03-201053 19638622

31. Kim JS , Kim K , Cheong JW , et al. Complete remission status before autologous stem cell transplantation is an important prognostic factor in patients with multiple myeloma undergoing upfront single autologous transplantation . Biol Blood Marrow Transplant . 2009 ; 15 ( 4 ): 463 – 470 . doi: 10.1016/j.bbmt.2008.12.512 19285634

32. Tandon N , Sidana S , Rajkumar SV , et al. Outcomes with early response to first-line treatment in patients with newly diagnosed multiple myeloma . Blood Adv . 2019 ; 3 ( 5 ): 744 – 750 . doi: 10.1182/bloodadvances.2018022806 30824418 PMC6418495

33. Aggarwal M , Agrawal N , Yadav N , et al. Autologous stem cell transplantation in first remission is associated with better progression-free survival in multiple myeloma . Ann Hematol . 2018 ; 97 ( 10 ): 1869 – 1877 . doi: 10.1007/s00277-018-3370-1 29781040

34. Saudi Arabia: age structure from 2008 to 2018 (published by Plecher H, Feb 5, 2020) . Available from: https://www.statista.com/statistics/262478/age-structure-in-saudi-arabia . Accessed July 4 , 2020 .

35. Ludwig H , Durie BG , Bolejack V , et al. Myeloma in patients younger than age 50 years presents with more favorable features and shows better survival: an analysis of 10 549 patients from the International Myeloma Working Group Blood . Blood . 2008 ; 111 ( 8 ): 4039 – 4047 . doi: 10.1182/blood-2007-03-081018 18268097 PMC4259800

36. Bove V , Garrido D , Riva E . Young age and autologous stem cell transplantation are associated with improved survival in newly diagnosed multiple myeloma . Hematol Transfus Cell Ther . 2020 ; 4 : 30113 – 30119 . 10.1016/j.htct.2020.06.014 PMC8446251 32912838

37. Nishimura KK , Barlogie B , van Rhee F , et al. Long-term outcomes after autologous stem cell transplantation for multiple myeloma . Blood Adv . 2020 ; 4 ( 2 ): 422 – 431 . doi: 10.1182/bloodadvances.2019000524 31990333 PMC6988393

38. Cavo M , Gay F , Beksac M , et al. Autologous haematopoietic stem-cell transplantation versus bortezomib-melphalan-prednisone, with or without bortezomib-lenalidomide-dexamethasone consolidation therapy, and lenalidomide maintenance for newly diagnosed multiple myeloma (EMN02/HO95): a multicentre, randomised, open-label, phase 3 study . Lancet Haematol . 2020 ; 7 ( 6 ): e456 – e468 . doi: 10.1016/S2352-3026(20)30099-5 32359506

39. Attal M , Lauwers-Cances V , Hulin C , et al. Lenalidomide, bortezomib, and dexamethasone with transplantation for myeloma . N Engl J Med . 2017 ; 376 ( 14 ): 1311 – 1320 . doi: 10.1056/NEJMoa1611750 28379796 PMC6201242

40. Jurczyszyn A , Davila J , Kortüm KM , et al. Multiple myeloma in patients up to 30 years of age: a multicenter retrospective study of 52 cases . Leuk Lymphoma . 2019 ; 60 ( 2 ): 471 – 476 . doi: 10.1080/10428194.2018.1480766 30033832

41. Duek A , Trakhtenbrot L , Avigdor A , Nagler A , Leiba M . Multiple myeloma presenting in patients younger than 50 years of age: a single institution experience . Acta Haematol . 2021 ; 144 ( 1 ): 58 – 65 . doi: 10.1159/000507414 32512574

42. Boyd KD , Ross FM , Chiecchio L , et al. Gender disparities in the tumor genetics and clinical outcome of multiple myeloma . Cancer Epidemiol Biomarkers Prev . 2011 ; 20 ( 8 ): 1703 – 1707 . doi: 10.1158/1055-9965.EPI-11-0157 21680536 PMC4545514

43. Mainou M , Madenidou AV , Liakos A , et al. Association between response rates and survival outcomes in patients with newly diagnosed multiple myeloma: a systematic review and meta-regression analysis . Eur J Haematol . 2017 ; 98 ( 6 ): 563 – 568 . 28178364 10.1111/ejh.12868

44. Fonseca R , Barlogie B , Bataille R , et al. Genetics and cytogenetics of multiple myeloma: a workshop report . Cancer Res . 2004 ; 64 ( 4 ): 1546 – 1558 . doi: 10.1158/0008-5472.CAN-03-2876 14989251

45. Fonseca R , Bergsagel PL , Drach J , et al. International Myeloma Working Group molecular classification of multiple myeloma: spotlight review . Leukemia . 2009 ; 23 ( 12 ): 2210 – 2221 . doi: 10.1038/leu.2009.174 19798094 PMC2964268

46. Ross FM , Avet-Loiseau H , Ameye G , et al. Report from the European Myeloma Network on interphase FISH in multiple myeloma and related disorders Haematologica . Haematologica . 2012 ; 97 ( 8 ): 1272 – 1277 . doi: 10.3324/haematol.2011.056176 22371180 PMC3409827

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты