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. 2019 Mar 3;33(2):611–619. doi: 10.21873/invivo.11518

Combination of Genetic Aberration With International Staging System Classification for Stratification of Asian Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplantation

JA MIN BYUN 1,2, DAEYOON KIM 3, DONG-YEOP SHIN 2, INHO KIM 2, YOUNGIL KOH 2, SUNG-SOO YOON 2,3
PMCID: PMC6506321  PMID: 30804149

Abstract

Background/Aim: The aim of the study was to contribute to the development of adaptive risk stratification methods specific to Asian multiple myeloma (MM) patients undergoing autologous stem cell transplantation (ASCT). Patients and Methods: We conducted this study to evaluate the prognostic impact of genetic abnormalities detected by fluorescent in situ hybridization (FISH) on survival outcomes in combination with the International Staging System (ISS) classification in 161 MM patients. This was a single-center retrospective longitudinal cohort study of newly diagnosed MM patients undergoing ASCT within 12 months from initial diagnosis. A single-center retrospective cohort study of newly diagnosed MM. Results: Patients were divided into 3 groups according to risk stratification: 1) low-risk, patients without del(17p13) nor t(14;16) or t(4;14) and ISS I/II; 2) high-risk, patients with t(4;14), regardless of ISS stage; 3) intermediate-risk, all remaining patients. The median PFS for the low-risk group was 18 months versus 13 months for the intermediate group (p=0.047, HR=1.527, 95%CI=1.006-2.316) versus 10 months for the high-risk group (p<0.001, HR=2.656, 95%CI=1.572-4.490). Conclusion: An ISS/FISH-based prognostication strategy was developed that can predict PFS for Asian MM patients undergoing ASCT. 

Keywords: Multiple myeloma, autologous stem cell transplantation, prognostication, risk stratification


Based on several randomized trials comparing ASCT to conventional chemotherapy, autologous stem cell transplantation (ASCT) preceding high dose therapy (HDT) is an established standard approach for frontline therapy in eligible multiple myeloma (MM) patients (1,2). Even in the novel agent era, ASCT remains an integral part of treating younger patients with newly diagnosed MM (3-5). In fact, with the advent of new generation of proteasome inhibitors and immunomodulatory drugs (IMiDs), the role of ASCT is being augmented as means of solidifying the superior response and progression-free survival (PFS) of these drugs. As such, the number of patients undergoing ASCT is expected to increase, which in turn necessitates development of risk stratification methods to identify those who can benefit the most from ASCT.

Meanwhile, MM is a clonal plasma cell disorder with recurrent translocations at the immunoglobulin heavy chain (IgH) locus on chromosome 14q32, deletions of chromosome 13, and dysregulated expression of cyclin D genes (6,7). These genetic aberrations, detected by fluorescent in situ hybridization (FISH), have emerged as major prognostic factors in recent years, leading to their incorporation into a risk stratification scheme and establishment of Revised International Staging System (R-ISS) (8). Using genetic-based risk stratification, previous studies have reported that there is a subpopulation of newly diagnosed MM patients who do not benefit from ASCT (9,10). Unfortunately, Asian patients are under-represented in these studies despite being epidemiologically and cytogenetically different (11). Recognizing the lack of adaptive risk stratification methods specific to the Asian population undergoing ASCT, this study was conducted to evaluate the prognostic impact of genetic abnormalities, detected by FISH, on survival outcomes in combination with ISS classification.

Patients and Methods

Study design and subjects. This was a single-center retrospective longitudinal cohort study of newly diagnosed multiple myeloma patients undergoing ASCT within 12 months from initial diagnosis. Adult patients, defined as 18 years old or older were included, while cases with smoldering myeloma, monoclonal gammopathy of unknown significance, solitary plasmacytoma and plasmablastic lymphoma were excluded. Patients who were not diagnosed at our center (i.e. referred patients), or who were part of clinical trials were also excluded. During the period between January 2005 and June 2015, 570 patients were initially identified and after excluding 317 for incomplete set of data and 92 for undergoing ASCT 12 months past diagnosis, a total of 161 patients with a complete set of molecular information were analyzed for their demographics, laboratory and clinical data. This study was conducted according to the Declaration of Helsinki and was approved by the institutional review board of Seoul National University Hospital (IRB No. H-1602-033-739).

Fluorescent in situ hybridization (FISH). FISH study was performed on bone marrow cells at diagnosis. Since there are no standard MM FISH probes used in Korea, 6 commercially available FISH probe sets were used. These included TP53 SpectrumOrange probe; D13S25 (13q14.3) SpectrumOrange probe; IgH/MAF dual color, dual fusion translocation probe; IgH/FGFR3 dual color, dual fusion translocation probe; 1q21/8p21 dual color probe; and CDKN2A (9p21, p16) SpectrumOrange/CEP9 SpectrumGreen probe (Abbott Diagnostics, Abbott Park, IL, USA). Positive signal was defined as an abnormal signal pattern detected in at least 2 metaphases.

Treatment. Since Korea has a public medical insurance system that is mandatory and covers approximately 98% of the overall Korean population, the first line treatment algorithm was somewhat uniform throughout the cohort according to insurance regulations.

Peripheral blood stem cell collection was performed with granulocyte colony stimulating factor (G-CSF) alone. Stem cells were collected using mesenchymal cells and blood cell separator. The minimal number of collected CD34+ cells was 4×106/kg. In selected cases, including those who failed adequate mobilization with G-CSF or less than optimal disease control with the initial therapy, chemotherapy-based mobilization using high-dose cyclophosphamide (2-4 g/m2) was used. All patients were conditioned with the melphalan 200mg/m2 protocol (melphalan 100 mg/m2 for 2 days), and 24-hours after conditioning the stem cells were re-infused. From the second day of re-infusion, G-CSF support was given to all patients until the absolute neutrophil count was greater than 0.5×109/L for 3 consecutive days. All patients underwent hematopoietic reconstruction. Since maintenance treatment is not covered by insurance, it was left to attending physicians to discuss the option with patients. Overall, 46 patients (28.6%) received either thalidomide or bortezomib as maintenance.

Statistical analysis. PFS curves were estimated using the Kaplan–Meier method. If patients survived and death or progression did not occur, survival was censored at the date of the last follow-up when no death or progression was confirmed, and data available up to December 2016 were used. Univariate and multivariate proportional hazards regression models were used to identify independent risk factors of survival by Cox proportional hazards models. Predictors achieving a p-value below 0.05 in univariate analysis were sequentially preceded to multivariate analysis. Differences between groups were assessed using a Student’s t-test or one-way analysis of variance for continuous variables, and Pearson chi-square test for categorical variables, as appropriate. All data were analyzed using the Statistical Package for the Social Sciences software (IBM® SPSS®Statistics, version 22.0). p-Values of <0.05 were considered statistically significant.

Results

Patient characteristics. The baseline characteristics of all 161 patients are presented in Table I. The median follow-up was 45 months from the time of diagnosis, with 86 (53.4%) patients alive at last follow-up. The median age was 58 years (range=18-69 years) and 50.3% were male. According to ISS, 54 patients (33.5%) were in stage I, 61 (37.9%) in stage II and 46 (28.6%) in stage III. According to R-ISS, 48 patients (29.8%) were in stage I, 52 (32.3%) in stage II and 61 (37.9%) in stage III. The most commonly detected abnormality by FISH was +1q21 (39.9%) followed by del(13q14), and t(4;14).

Table I. Baseline characteristics of all 161 enrolled patients.

graphic file with name in_vivo-33-612-i0001.jpg

ECOG: Eastern Cooperative Oncology Group; ISS: International Staging System; R-ISS: Revised International Staging System; MM: multiple myeloma; SD: standard deviation; MG: microglobulin; LDH: lactate dehydrogenase; FISH: fluorescence in situ hybridization.

Autologous stem cell transplantation. Table II shows the parameters associated with ASCT. Induction regimen included thalidomide in 81 patients (50.3%) and bortezomib in 22 patients (13.7%). None received lenalidomide prior to ASCT. For those not exposed to novel agents, VAD (vincristine, doxorubicin, dexamethasone) was the most commonly used regimen (n=50). At the time of ASCT, 35.4% of the patients had complete remission (CR) or very good partial response (VGPR). After ASCT, 57.1% of the patients showed CR or VGPR. There were 52 patients who had PR or worse response to induction therapy5 but subsequently achieved CR or VGPR with ASCT. There were 2 transplantation related mortalities (TRM): 1 patient deceased from liver failure and 1 patient from massive alveolar hemorrhage.

Table II. Autologous stem cell transplantation.

graphic file with name in_vivo-33-612-i0002.jpg

ASCT: Autologous stem cell transplantation; CR: complete response; VGPR: very good partial response; PR: partial response; SD: stable disease; FU: follow-up.

Impact of genetic aberration and ISS on clinical outcomes. For the entire cohort, the median PFS after ASCT was 16 months. The ISS score was a significant prognostic factor for PFS (Figure 1A). More specifically, patients with stage I disease had significantly better PFS compared to those with stage III disease (p=0.037). Stage II patients showed trends towards a better PFS compared to stage III patients, but the difference did not reach statistical significance (p=0.078). There was no statistical difference between stage I and stage II (p=0.34). Similar patterns were observed for the R-ISS score (Figure 1B).

Figure 1. Impact of ISS and R-ISS on progression-free survival (PFS). (A) PFS according to International Staging System (ISS). (B) PFS according to Revised International Staging System (R-ISS).

Figure 1

The presence of del(17p13) was associated with worse PFS overall (p=0.030, median PFS 20 months for negative vs. 10 months for positive patients, respectively) (Figure 2A). These patients were further stratified by ISS classification. Among stage I and II patients, the presence of del(17p13) was associated with worse PFS (p=0.035, Figure 2B) whereas for stage III patients, the presence of del(17p13) did not have an impact on survival (Figure 2C).

Figure 2. Impact of del(17p13) on progression free survival (PFS). (A) PFS of del(17p13) patients compared to those without. (B) Impact of del(17p13) on PFS in ISS stage I/II patients. (C) Impact of del(17p13) on PFS in ISS stage III patients.

Figure 2

Figure 2

The presence of t(14;16) was associated with worse PFS (p=0.003, median PFS 18 months for negative vs. 10 months for positive patients, respectively) (Figure 3A). When further stratified by ISS classification, the presence of t(14;16) was associated with worse PFS (p=0.031, Figure 3B) among stage I and II patients. The presence of t(14;16) did not have a significant impact on PFS of stage III patients (Figure 3C).

Figure 3. Impact of t(14;16) on progression free survival (PFS). (A) PFS of t(14;16) patients compared to those without. (B) Impact of t(14;16) on PFS in ISS stage I/II patients. (C) Impact of t(14;16) on PFS in ISS stage III patients.

Figure 3

Figure 3

The presence of t(4;14) was also associated with poorer outcomes (p<0.001, median PFS 24 months for negative vs. 10 months for positive patients, respectively) (Figure 4A). When these patients were further stratified by ISS classification, the presence of t(4;14) was predictive of worse PFS in all stages (Figure 4B, C).

Figure 4. Impact of t(4;14) on progression-free survival (PFS). (A) PFS of t(4;14) patients compared to those without. (B) Impact of t(4;14) on PFS in ISS stage I/II patients. (C) Impact of t(4;14) on PFS in ISS stage III patients.

Figure 4

Figure 4

The impact of other genetic aberrations is presented in Table III.

Table III. Survival outcomes according to FISH at diagnosis.

graphic file with name in_vivo-33-617-i0001.jpg

FISH: Fluorescence in situ hybridization; ISS: International Staging System; PFS: progression free survival. 1Values presented as median (months, 95% confidence intervals of median).

Combining ISS classification and FISH for prognostication scheme. Based on survival analyses (Figures 1-4) and multivariate analysis (Table IV), our patients were divided into 3 groups according to risk stratification: 1) low-risk, patients without del(17p13) nor t(14;16) or t(4;14) and ISS I/II; 2) high-risk patients with t(4;14), regardless of ISS stage; 3) intermediate-risk, all remaining patients. There were 94 patients (58.4%) in the low-risk group, 42 (26.1%) in the intermediate-risk group and 25 (15.5%) in the high-risk group. The median PFS for the low-risk group was 18 months versus 13 months for intermediate-risk group (p=0.047, HR=1.527, 95%CI= 1.006-2.316) versus 10 months for high-risk group (p<0.001, HR=2.656, 95% CI=1.572-4.490) (Table V, Figure 5).

Table IV. Univariate and multivariate analysis for progression free survival.

graphic file with name in_vivo-33-617-i0002.jpg

HR: Hazard ratio; CI: confidence interval; R-ISS: Revised International Staging System; ref: reference; NA: not applicable; ISS: International Staging System; ASCT: autologous stem cell transplantation; CR: complete response; VGPR: very good partial response; PR: partial response; SD: stable disease.

Table V. Prognostic impact of genetic aberrations in combination with ISS score on progression-free survival (Cox proportional hazards analysis).

graphic file with name in_vivo-33-618-i0001.jpg

HR: Hazard ratio; CI: confidence interval; PFS: progression-free survival. 1Patients without del(17p13) nor t(14;16) nor t(4;14) and ISS I/II; 2Patients with ISS III, or, patients with del(17p13) or t(14;16); 3Patients with t(4;14), regardless of ISS stage.

Figure 5. Combining information on genetic aberrations with International Staging System (ISS) classification for risk stratification.

Figure 5

Discussion

Our study indicated that for newly diagnosed Asian multiple myeloma patients undergoing ASCT, risk stratification using R-ISS was somewhat unsatisfactory. As seen in Figure 1A, the survival for stage I patients did not differ from stage II patients (p=0.908; median PFS 20 months vs. 18 months, respectively). In recognizing the void of adoptive risk stratification unique to Asian MM patients, who are clinically and genetically different from Caucasian patients, this study was carried out to devise a prognostication scheme for Asian patients. Based on our analyses, ISS classification was combined with information on del(17p13), t(14;16), and t(4;14) to identify those who would benefit the most from ASCT. Using this scheme, the patients were categorized into 3 risk groups: low-risk group defined as ISS stage I/II patients without del(17p13) nor t(14;16) nor t(4;14); high-risk group defined as those with t(4;14) regardless of ISS stage; and intermediate-risk group included all the rest. The high-risk group was associated with a significantly worse survival.

Through systematic evaluation of a homogeneous set of MM patients receiving fairly uniform induction and conduction regimens, ISS classification, t(14;16), del(17p13) and t(4;14) were identified as predictors of survival, as in previous reports (8,10,12). Other factors, including maintenance therapy, and pre-ASCT state did not have significant impact on survival (Table IV). This study has important similarities and differences compared to previous reports. Most of the frequencies of FISH abnormalities were consistent with those described in larger series (4,11-15) including del(17p13), del(13q14), t(4;14) and +1q21. Notably, there was a larger proportion of patients with t(14;16) in our cohort. The reported frequency of t(14;16) varies from 1% to 3.2% depending on the study (12,15) but 11% of our patients were found to carry this aberration. Since not much information is available on the frequencies of FISH abnormalities from East Asian patients, it is not certain that this trait is indeed a unique finding. However, a recent large-scale study from the International Myeloma Foundation (11), which included countries like China, Hong Kong, Japan, Korea, Singapore, Taiwan and Thailand, reported that 4.4% of the study cohort carried t(14;16), suggesting a trend towards a higher frequency of t(14;16) in Asians.

The presence of t(4;14) was a strong prognostic factor for ASCT PFS in our cohort. Coincidentally, 2 patients who died from TRM also showed t(4;14). While the number of TRM cases is too small for further evaluation, this finding could indicate that patients with t(4;14) do not respond very well to high-dose melphalan treatment. Also, among the 52 patients who had suboptimal response to induction treatment, but subsequently achieved CR or VGPR, the proportion of patients bearing t(4;14) was smaller (13/5%) compared to the total cohort (28.4%). Other genetic aberrations in this subgroup showed similar distribution compared to the total cohort. It would be interesting to investigate if patients harboring t(4;14) would benefit from novel agent induction, namely bortezomib, lenalidomide and carfilzomib, and if these agents can overcome the adverse prognosis of ASCT.

One of the pitfalls of our study is the lack of information on some chromosomal aberrations that are traditionally recognized to have prognostic value, including t(11;14) and t(14;20). This, however, ironically highlights the current circumstances where there is no standardized FISH panel specific to the Korean population, despite the steadily increasing number of MM patients in the country (16,17). Collaborative efforts from different centers are necessary to define the molecular and cytogenetic characteristics of Korean MM patients, and develop adoptive risk stratification methods to reflect such information plus social and economic statuses. The small number of patients in each FISH group is also a limitation of this study. Although the total number of patients in our cohort itself is not small by any means, especially considering the fact that these were fairly homogeneously-treated patients from a single center, the absolute number of patients carrying a specific chromosomal aberration was small in some cases. Even so, since they delineated survival outcomes, our results are predicted to be consolidated with a larger population. All in all, our data add valuable knowledge to prognostic factors for MM and assist in selecting patients suitable for ASCT.

Conclusion

In conclusion, we developed an ISS/FISH-based prognostication strategy based on our findings, and showed that this stratification can predict PFS for Asian MM patients undergoing ASCT. For patients in the high-risk group, alternative, more innovative induction and consolidative treatment approaches should be offered.

Conflicts of Interest

The Authors have no conflicts of interest to disclose regarding this study.

Authors’ Contributions

Conception and design: Ja Min Byun, Sung-Soo Yoon. Provision of study materials: Dong-Yeop Shin, Inho Kim, Sung-Soo Yoon, Yougil Koh. Collection and assembly of data: Ja Min Byun, Daeyoon Kim. Data analysis and interpretation: Ja Min Byun, Daeyoon Kim, Sung-Soo Yoon. Manuscript writing: all authors. Final approval of manuscript: all authors.

Acknowledgements

The abstract of this manuscript has been submitted to the International Myeloma Workshop 2017, held at New Delhi, India, March 1-4, 2017. This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HC15C3397).

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