Literature DB >> 33950994

Bortezomib-based regimens improve the prognosis of newly diagnosed MM patients with chromosomal aberrations except for del(17q13): A retrospective study from a single center.

Zhigang Liu1, Qiang Zeng, Bing Xiang.   

Abstract

ABSTRACT: Chromosomal aberrations are generally considered to have a remarkable impact on the outcome of multiple myeloma. Bortezomib helps to achieve complete responses and leads to longer life expectancy in many multiple myeloma patients. This study was designed to clarify whether bortezomib can improve the poor prognosis resulting from del(17q13), del(13q14), amp(1q21), t(4,14), t(14,16) in patients with multiple myeloma. A total of 255 MM patients treated with bortezomib-based regimens were included in this study. All chromosomal aberrations were detected by interphase fluorescence in situ hybridization. Kaplan-Meier survival and Multivariable Cox regression analysis were employed to assess the prognostic situation in progression-free survival and overall survival. The result showed that the progression-free survival and overall survival of patients with del(17q13) were shorter than those without del(17q13) in multivariate analysis and patients with del(13q14), amp(1q21), t(4,14), t(14,16) were similar to patients without these chromosomal aberrations in progression-free survival and overall survival after receiving bortezomib-based regimens.In conclusion Bortezomib-based regimens can overcome the poor prognosis derived from del(13q14), amp(1q21), t(4,14), t(14,16) but not del(17q13).
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2021        PMID: 33950994      PMCID: PMC8104214          DOI: 10.1097/MD.0000000000025834

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


Introduction

Multiple myeloma (MM) is a common plasma cell neoplasm characterized by a malignant clone of plasma cells derived from a diverse range of genetic events, such as chromosomal translocations, deletions, amplifications that contribute to the onset, progression, and prognosis.[ Today, the genetic events are mainly detected using interphase fluorescence in situ hybridization (FISH).[ Of these adverse events, it is generally acknowledged that del(17q13), del(13q14), amp(1q21), t(4,14), t(14,16) play an important role in poor prognosis.[ These events have been introduced in the guidelines developed by the International Myeloma Working Group as well as the Mayo Stratification of Myeloma and Risk-Adapted Therapy to stratify MM patients.[ Patients with the chromosomal aberrations are intermediate and high risk, usually evolving to a poor outcome when treated with traditional chemotherapy.[ Currently, the treatments for MM have already stepped into an era of novel agents. All kinds of novel drugs emerge endlessly. Proteasome inhibitors, such as bortezomib, and immunomodulatory drugs, such as lenalidomide and pomalidomide, dramatically improved therapeutic efficacy.[ Additionally, Daratumumab, a targeted drug, was also approved in patients with relapsed and refractory MM. Today, bortezomib, as the most frequently used drug for MM, even helps many patients achieve complete responses,[ and incorporating bortezomib in MM treatment can lead to longer life expectancy in some patients.[ With the development of novel drugs, increasing clinical trials have demonstrated that the poor prognosis of MM patients could be overcome. Bortezomib, as the most successful drug for MM ever, was also employed in many MM patients with chromosomal aberrations in numerous studies. However, of these studies, some did not discuss all the loci mentioned in the guidelines and some suggested controversial conclusions. Therefore, we collected and analyzed the data of MM patients treated with bortezomib-based regimens who were analyzed for del(17q13), del(13q14), amp(1q21), t(4,14), t(14,16) in our hospital, aiming to figure out the effect of bortezomib on MM patients with the abnormal chromosomes.

Materials and methods

Patients and materials

We have reviewed all the materials of MM patients in West China Hospital. A total of 255 patients with results from interphase FISH from 2009 to 2018 were included in the retrospective study. All patients had a confirmed diagnosis of MM according to the International Myeloma Working Group's latest criteria.[ Additionally, all patients received bortezomib-based regimens, including bortezomib united with dexamethasone, bortezomib combined with dexamethasone and thalidomide or lenalidomide and bortezomib plus melphalan and prednisone, with 2 to 12 cycles. Patients were divided into following groups based on the results of interphase FISH: “normal,” “p53” (17q13del), “RB1” (13q14del), “D13S319” (13q14.3del), “IGH translocations” (t(4,14) and t(14,16)), “1q21” (1q21 gain). The follow-up time ranged from 2 to 114 months. Additionally, patients’ characteristics, such as gender, age, immunoglobulin isotype, calcium, creatinine, hemoglobin count, bone disease status, lactate dehydrogenase and β2 microglobulin were also collected. Bone disease status was classified based on X-ray results of whole body flat bones. The study was approved by the Ethics Committee of West China Hospital of Sichuan University. The ethics committee waived informed consent due to a retrospective study. All of the data were anonymized prior to access by authors.

FISH experiment

We used the interphase FISH method to detect abnormal chromosomes. Verdure bone marrow from patients was first purified using a magnetic bead of CD138, and then these purified cells were hybridized with specific probes (RB1, D13S319, IGH, 1q21, p53). Four hundred cells were stained for each probe. A ratio of aberration exceeding 10% was considered positive. The FISH analysis was performed again if the result value was close to the threshold.

Statistical analysis

Progression-free survival (PFS) and overall survival (OS) were employed to evaluate the survival of patients. PFS was defined as the duration from the initial treatment of bortezomib to the relapse of MM. OS was defined as the months between the initial treatment of bortezomib and death. The survival analysis was conducted using the Kaplan–Meier method to evaluate the influence of del(13q14), del(13q14.3), t(4,14), t(14,16), amp(1q21), and del(17q13) on PFS and OS. A log-rank test was used to assess the results with a significant difference of P < .05. The multivariable Cox regression analyses were employed to assess the effect of del(13q14), del(13q14.3), t(4,14), t(14,16), amp(1q21), del(17q13), gender, age, International Staging System stage, immunoglobulin isotype, hypercalcemia, renal dysfunction, hemoglobin count, bone disease status, and elevated β2 microglobulin on PFS and OS. P < .05 was considered significant. All statistical analyses were performed with SPSS 23.0 software (SPSS, Inc, Chicago, IL).

Results

Difference between RB1, D13S319, IGH, 1q21, p53 positive and negative groups in PFS and OS in the FISH study

The baseline characteristics of the patients were listed in Table 1. The percentage of the clone harboring the abnormal chromosome ranged from 11% to 96%. The RB1 and D13S319 were the most common chromosomal abnormality and occurred almost simultaneously while p53 deletion was the least common aberration and also occurred with other abnormal loci. 1q21 gain occurred most frequently alone. In addition, the number of concomitant abnormal chromosomal sites was summarized. Each locus with one or more other loci was described (Table 2).
Table 1

Baseline characteristics of included patients.

Total patients (N = 255)
Gender
 Male142
 Female113
Age
 Median (range)60 (28–82)
ISS stage
 I17
 II120
 III118
Immunoglobulin isotype
 IgG135
 IgA62
 IgD1
 Light chain57
Bone disease status
 Absent80
 Present175
Hypercalcemia
 Absent216
 Present39
Renal dysfunction
 Absent179
 Present76
Lactate dehydrogenase (LDH)
 >220 UI/L85
β2 microglobulin
 ≥5.5 mg/L118
Hemoglobin
  < 90 g/L113
Table 2

Characteristics of FISH results.

Combination
ProbesTotalAloneTwoThreeFourFive
RB111402033529
D13S31911502034529
IGH106181318489
1q21103191221429
p5325123109

All the 255 patients had the five probes tested. Eighty-seven patients were all normal in these five probes and others had at least one normal locus.

Baseline characteristics of included patients. Characteristics of FISH results. All the 255 patients had the five probes tested. Eighty-seven patients were all normal in these five probes and others had at least one normal locus. The results of the Kaplan–Meier survival analysis showed that the PFS for the D13S319 (P = .051), IGH (P = .184), and 1q21 (P = .697) positive groups were similar to the negative groups. Similarly, there was no difference between the RB1 (P = .231), D13S319 (P = .267), IGH (P = .267), and 1q21 (P = .475) positive groups and the negative groups in OS. However, the PFS for the RB1 positive group was significantly shorter than the RB1 negative group (P = .038). Additionally, in the locus of p53, the del(17q13) positive group was much shorter than the del(17q13) negative group in the PFS (P < .001) and OS (P = .003), respectively (Fig. 1).
Figure 1

Kaplan–Meier survival curve of normal and abnormal FISH results for PFS and OS. (A) RB1; (B) D13S319; (C) IGH; (D) 1q21; (E) p53.

Kaplan–Meier survival curve of normal and abnormal FISH results for PFS and OS. (A) RB1; (B) D13S319; (C) IGH; (D) 1q21; (E) p53. Then, subgroup analysis by each group of abnormal chromosome was conducted. All patients with abnormal chromosomes were classified in stage II or III. The result showed that no difference was found between stage II and III of each group of abnormal chromosome (see Figure, Supplemental Content, which illustrates the PFS and OS of patients at different stages of each group of abnormal chromosomes). Next, multivariable Cox regression analyses were conducted to exclude the effects of the variables of RB1, D13S319, IGH, 1q21, and p53, gender, age, International Staging System stage, immunoglobulin isotype, hypercalcemia, renal dysfunction, hemoglobin count, bone disease status, and elevated β2 microglobulin on each result of the Kaplan–Meier analysis. The results suggested the PFS of the RB1 positive group was not different from the RB1 negative group (P = .285), while del(17q13) positive was significantly independent of other factors in both PFS (P = .002) and OS (0.045) as in the Kaplan–Meier analysis (Table 3).
Table 3

Results of multivariable Cox regression analyses for PFS and OS.

PFSOS
VariablesHR95% CIPHR95% CIP
Age (>60 y vs ≤60 y)1.4710.811–2.669.2041.6690.732–3.805.223
Gender (female vs male)1.1870.647–2.176.5801.4540.638–3.310.373
Creatinine (>106 umol/L vs ≤106 umol/L)0.6690.324–1.384.2790.8550.324–2.256.365
Calcium (>2.75 mmol/L vs ≤ 2.75 mmol/L)0.9700.406–2.318.9451.1450.353–3.717.821
Isotype (light chain vs non-light chain)1.5440.722–3.303.2631.1830.451–3.105.733
Bone disease status (absent vs present)0.7200.388–1.334.3060.4950.227–1.079.085
β2 microglobulin (<5.5 mg/L vs ≥ 5.5 mg/L)1.7900.900–3.562.0972.4510.985–6.099.054
Hemoglobin (<90 g/L vs ≥90 g/L)2.1070.866–5.127.1002.1110.614–7.256.236
Stage II (vs stage I)2.7630.348–21.920.3361.2640.146–10.970.832
Stage III (vs stage I)4.5860.570–36.877.1522.6950.306–23.699.372
RB1 (positive vs negative)0.6840.341–1.372.2850.8120.324–2.040.658
D13S319 (positive vs negative)0.7630.378–1.544.4520.9020.356–2.285.828
IGH (positive vs negative)1.2050.572–2.538.6250.9820.358–2.688.971
1q21 (positive vs negative)1.3550.709–2.591.3581.4490.599–3.505.410
P53 (positive vs negative)0.2760.125–0.611.0020.3350.115–0.974.045

CI = confidence interval, HR = hazard ratio, OS = overall survival, PFS = progression-free survival.

Results of multivariable Cox regression analyses for PFS and OS. CI = confidence interval, HR = hazard ratio, OS = overall survival, PFS = progression-free survival.

Difference between normal, other abnormal and del(17q13) positive groups in PFS and OS in the FISH study

A total of 87 patients who were normal in the loci of RB1, D13S319, IGH, 1q21, and p53 were defined as a normal group. RB1, D13S319, IGH, and 1q21 positive groups were formed as the other abnormal group, totaling 143 patients. Then, the normal, other abnormal and del(17q13) positive FISH results were established. The results of the Kaplan–Meier survival analysis showed the normal group was similar to the other abnormal group in PFS (P = .889) and OS (P = .749) but better than the del(17q13) group in PFS (P = .001) and OS (P = .008) (Fig. 2).
Figure 2

Kaplan–Meier survival curve of normal, other abnormal and del(17q13) groups for PFS and OS.

Kaplan–Meier survival curve of normal, other abnormal and del(17q13) groups for PFS and OS.

Discussion

MM patients with abnormal FISH results, such as del(13q14), amp(1q21), t(4,14), t(14,16), and del(17q13), are usually considered to have an inferior outcome.[ Since novel agents like bortezomib were continually applied in the clinic, more MM patients achieved a very good partial response or even complete response and simultaneously a relatively good quality of life.[ However, whether bortezomib can overcome the poor prognosis from these chromosomal aberrations and prolong PFS and OS remains dismal. Previous studies did not reach an accordant and complete conclusion. In our study, we analyzed five bad loci of chromosomal aberrations included in the MM guideline and concluded that bortezomib can indeed improve the poor prognosis resulting from del(13q14), amp(1q21), t(4,14), and t(14,16) but not for del(17q13). In the first part of the results, the del(13q14) was considered an poor prognostic factor for PFS that could not be improved by bortezomib. However, we noted that this result was different from documental records which advised that multivariate analysis should be taken into consideration.[ Then, in the multivariate analysis, del(13q14) was no longer a poor prognostic factor in the patients treated with bortezomib, which is identical to previous studies. Therefore, we thought that bortezomib could overcome the adverse effect of del(13q14). In 2003, Zavrski et al demonstrated that proteasome inhibitors can induce apoptosis in human bone marrow myeloma cells with chromosomal aberrations in vitro.[ Since then many studies were performed and inferred that intermediate and high-risk MM patients responded well to bortezomib. Next, medical scientists started focusing on the impact of bortezomib on the outcomes of intermediate and high-risk MM patients. Cumulative studies have been conducted to investigate the problem. Jagannath et al concluded there was no difference in OS among patients with or without del(13) after being treated with bortezomib according to the SUMMIT and APEX matched-pairs analysis.[ A study from Sagaster et al also showed relapsed patients received bortezomib and achieved a similar OS in both the del(13q14) and non-del(13q14) group.[ In the study of Kiyota et al, patients treated with bortezomib were divided into four groups based on the FISH results of del(13q), t(4,14), t(14,16), 1q21 abnormality. They found that patients with each aberration had no difference in PFS and OS from the negative group and thought bortezomib can overcome adverse events brought by these abnormalities.[ Mateos et al reported that patients with del(13) and IGH translocations treated with bortezomib were similar to those without these chromosomal aberrations in event-free survival and PFS in their two articles.[ In another study,[ Mateos et al defined the patients with t(4,14), t(14,16), del(17q) as a high-risk group and the rest were defined as a standard risk group using a larger sample size with patients 65 years of age and older. However, they found that the high-risk group still had shorter survival than the standard group when treated with bortezomib. Thus, they summarized that bortezomib does not overcome the negative prognosis of high-risk chromosomal aberrations. In addition, Biran et al reported that patients with the amp(1q21) harbored a shorter PFS and OS, even when treated with bortezomib, indicating that bortezomib did not benefit high-risk patients in survival.[ The results of these studies were not accordant with ours. However, Mateos's latter study had several differences from ours in design. The subjects were all elderly and they did not analyze every single abnormal locus in prognosis. Additionally, the del(17q) was in the high-risk group, and we suspect the del(17q) interfered with the real result according to our findings. In Biran's study, chromosomal aberrations were detected using two methods of FISH and conventional cytogenetics in a small population (N = 28). However, in our study, abnormal chromosomes were all detected by FISH in a larger sample size. Avet-Loiseau et al designed a study including del(17q) and discovered that patients with del(17q) did not have improved survival in EFS and OS by using bortezomib.[ Cohen et al also found that the inferior outcome associated with del(17q13) was not corrected by bortezomib.[ Additionally, Byun et al demonstrated that in the Asian population, patients with del(17q13) did not benefit from bortezomib in survival.[ These studies are consistent with our results. However, some other articles reported that bortezomib could improve the survival of patients with del(17q). In the design of Sonneveld et al's study, bortezomib was used as induction and maintenance therapy for patients aged 65 years or younger. Over the duration of disease, high-dose melphalan and autologous stem-cell transplantation were also performed in all patients. They concluded that bortezomib significantly improved PFS and OS in patients with del(17p13).[ Similarly, El-Ghammaz et al also supposed that bortezomib-based induction benefits patients harboring del(17q) in PFS but not in OS.[ Their study was designed with Sonneveld's methodology, excluding bortezomib maintenance therapy, and the included patients were younger (<62 years old). We attributed the differences in results to younger subjects and the treatment of high-dose melphalan and autologous stem-cell transplantation. However, there is a remarkable limitation in our study. Our algorithm was conducted at a single medical center, where the only database was used to analyze the prognosis of MM patients. The survival curve of patients receiving bortezomib-based regimens may not generalize to other populations. Despite practical challenges, multi-centers cohorts can extend the issue. Other medical centers are not willing to provide their data due to patient privacy and contrast with each other. A sharing database and experimental technique built in multi-centers may solve the problem.

Conclusions

In summary, we presented comprehensive data of 255 MM patients treated with bortezomib-based regimens. The result suggested that bortezomib-based regimens could overcome the poor prognosis resulting from del(13q14), amp(1q21), t(4,14) and t(14,16) but not del(17q13). This indicated us that bortezomib was the first choice for intermediate and high-risk patients without del(17q13). Novel approaches or allogeneic hematopoietic stem cell transplantation should be taken into consideration for patients with del(17q13). Continuous efforts are needed to improve the outcome of MM patients with del(17q13) in the future.

Author contributions

Zhigang Liu and Qiang Zeng contributed equally. Zhigang Liu wrote the main manuscript text; Qiang Zeng prepared all the figures and tables; Both Zhigang Liu and Qiang Zeng analyzed the data and contributed to the materials and tools; Bing Xiang revised the manuscript text and supervised the methods part. Conceptualization: Zhigang Liu. Data curation: Zhigang Liu, Qiang Zeng. Funding acquisition: Zhigang Liu. Investigation: Qiang Zeng. Methodology: Qiang Zeng. Project administration: Zhigang Liu, Bing Xiang. Resources: Bing Xiang. Supervision: Bing Xiang. Writing – original draft: Qiang Zeng. Writing – review & editing: Bing Xiang.
  33 in total

1.  Monosomy 13 in metaphase spreads is a predictor of poor long-term outcome after bortezomib plus dexamethasone treatment for relapsed/refractory multiple myeloma.

Authors:  Miki Kiyota; Tsutomu Kobayashi; Shinichi Fuchida; Mio Yamamoto-Sugitani; Muneo Ohshiro; Yuji Shimura; Shinsuke Mizutani; Hisao Nagoshi; Nana Sasaki; Ryuko Nakayama; Yoshiaki Chinen; Natsumi Sakamoto; Hitoji Uchiyama; Yosuke Matsumoto; Shigeo Horiike; Chihiro Shimazaki; Junya Kuroda; Masafumi Taniwaki
Journal:  Int J Hematol       Date:  2012-03-17       Impact factor: 2.490

2.  Bortezomib induction and maintenance treatment in patients with newly diagnosed multiple myeloma: results of the randomized phase III HOVON-65/ GMMG-HD4 trial.

Authors:  Pieter Sonneveld; Ingo G H Schmidt-Wolf; Bronno van der Holt; Laila El Jarari; Uta Bertsch; Hans Salwender; Sonja Zweegman; Edo Vellenga; Annemiek Broyl; Igor W Blau; Katja C Weisel; Shulamiet Wittebol; Gerard M J Bos; Marian Stevens-Kroef; Christof Scheid; Michael Pfreundschuh; Dirk Hose; Anna Jauch; Helgi van der Velde; Reinier Raymakers; Martijn R Schaafsma; Marie-Jose Kersten; Marinus van Marwijk-Kooy; Ulrich Duehrsen; Walter Lindemann; Pierre W Wijermans; Henk M Lokhorst; Hartmut M Goldschmidt
Journal:  J Clin Oncol       Date:  2012-07-16       Impact factor: 44.544

Review 3.  International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma.

Authors:  S Vincent Rajkumar; Meletios A Dimopoulos; Antonio Palumbo; Joan Blade; Giampaolo Merlini; María-Victoria Mateos; Shaji Kumar; Jens Hillengass; Efstathios Kastritis; Paul Richardson; Ola Landgren; Bruno Paiva; Angela Dispenzieri; Brendan Weiss; Xavier LeLeu; Sonja Zweegman; Sagar Lonial; Laura Rosinol; Elena Zamagni; Sundar Jagannath; Orhan Sezer; Sigurdur Y Kristinsson; Jo Caers; Saad Z Usmani; Juan José Lahuerta; Hans Erik Johnsen; Meral Beksac; Michele Cavo; Hartmut Goldschmidt; Evangelos Terpos; Robert A Kyle; Kenneth C Anderson; Brian G M Durie; Jesus F San Miguel
Journal:  Lancet Oncol       Date:  2014-10-26       Impact factor: 41.316

4.  Combining information regarding chromosomal aberrations t(4;14) and del(17p13) with the International Staging System classification allows stratification of myeloma patients undergoing autologous stem cell transplantation.

Authors:  Kai Neben; Anna Jauch; Uta Bertsch; Christiane Heiss; Thomas Hielscher; Anja Seckinger; Tina Mors; Nadine Zoe Müller; Jens Hillengass; Marc S Raab; Anthony D Ho; Dirk Hose; Hartmut Goldschmidt
Journal:  Haematologica       Date:  2010-03-10       Impact factor: 9.941

5.  Bortezomib appears to overcome the poor prognosis conferred by chromosome 13 deletion in phase 2 and 3 trials.

Authors:  S Jagannath; P G Richardson; P Sonneveld; M W Schuster; D Irwin; E A Stadtmauer; T Facon; J-L Harousseau; J M Cowan; K C Anderson
Journal:  Leukemia       Date:  2006-11-09       Impact factor: 11.528

6.  Bortezomib in relapsed multiple myeloma: response rates and duration of response are independent of a chromosome 13q-deletion.

Authors:  V Sagaster; H Ludwig; H Kaufmann; V Odelga; N Zojer; J Ackermann; E Küenburg; R Wieser; C Zielinski; J Drach
Journal:  Leukemia       Date:  2006-11-09       Impact factor: 11.528

7.  1p21 deletions are strongly associated with 1q21 gains and are an independent adverse prognostic factor for the outcome of high-dose chemotherapy in patients with multiple myeloma.

Authors:  H Chang; X Qi; A Jiang; W Xu; T Young; D Reece
Journal:  Bone Marrow Transplant       Date:  2009-05-18       Impact factor: 5.483

Review 8.  Treatment of multiple myeloma in the targeted therapy era.

Authors:  Ayman A Saad; Manish Sharma; Gerald M Higa
Journal:  Ann Pharmacother       Date:  2009-02-03       Impact factor: 3.154

9.  Longitudinal fluorescence in situ hybridization reveals cytogenetic evolution in myeloma relapsing after autologous transplantation.

Authors:  Maximilian Merz; Anna Jauch; Thomas Hielscher; Elias K Mai; Anja Seckinger; Dirk Hose; Uta Bertsch; Kai Neben; Marc S Raab; Hans Salwender; Igor W Blau; Hans-Walter Lindemann; Ingo Schmidt-Wolf; Christof Scheid; Mathias Haenel; Katja Weisel; Hartmut Goldschmidt; Jens Hillengass
Journal:  Haematologica       Date:  2017-05-11       Impact factor: 9.941

Review 10.  Novel agents in the treatment of multiple myeloma: a review about the future.

Authors:  Leonard Naymagon; Maher Abdul-Hay
Journal:  J Hematol Oncol       Date:  2016-06-30       Impact factor: 17.388

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