Assessment of Bone Marrow Biopsy and Cytogenetic Findings in Patients with Multiple Myeloma

Abstract

Objective:

Multiple myeloma (MM) is a malignant condition characterized by the accumulation of malignant plasma cells. Although MM remains incurable, the survival of MM patients has improved considerably due to the application of autologous stem cell transplantation, novel agents, and advanced treatment strategies. This study aimed to determine the cytogenetic characterization and bone marrow (BM) features of Turkish patients with MM.

Materials and Methods:

Eighty-five MM patients were admitted to Dokuz Eylül University Hospital in Turkey. BM samples of these MM patients were subjected to cytogenetic analyses at diagnosis and during therapy as a part of therapeutical and clinical evaluation. A complete cytogenetic study was performed using the G-banding technique. Fluorescence in situ hybridization (FISH) analysis was performed using cytoplasmic immunoglobulin. The degree of BM fibrosis was determined using reticulin histochemical staining. We determined the percentage of BM plasma cells based on the extent of CD38 staining.

Results:

Eighty-five MM patients were retrospectively identified between 2015 and 2021. The median age was 63 (38-90) years. Of the 85 patients, 60 (70.6%) were male and 25 (29.4%) were female. Seventy-two (84.7%) cases had BM fibrosis at the time of diagnosis. The most common was grade 2 fibrosis, recorded in 35 cases (41.2%). About 72.9% of the patients showed more than 50% plasma cells. FISH analysis indicated the presence of abnormal chromosomes in 37% (32/85) of the patients. The most frequent abnormality was Immunoglobulin heavy-chain (IGH) translocation (21.3%).

Conclusion:

Subgroup analysis of IGH mutations is crucial in the identification of high-risk MM patients. We believe that our study will contribute to the determination of BM biopsy and cytogenetic features of MM patients in our country.

Introduction

Multiple myeloma (MM) is a malignant condition characterized by the accumulation of malignant plasma cells. It is the second most common hematological malignancy that develops in the bone marrow (BM) [1]. Although MM remains incurable, the survival of MM patients has improved considerably due to the application of autologous stem cell transplantation (ASCT), novel agents, and advanced treatment strategies. However, this development has not been uniform. The existing heterogeneity is dependent on patient-specific factors such as age, comorbidities, and disease-related factors, including cytogenetic and molecular features, BM fibrosis (BMF), and the plasma cells in the BM. Several risk classifications have been made for personalized therapeutic approaches. A clinical staging system for MM was first developed by Durie and Salmon [2] in 1975. The International Staging System (ISS) score was then defined by Greipp et al. [3] in 2005 based on two parameters: serum β2-microglobulin level and serum albumin. Avet-Loiseau et al. [4] and Cavo-Rosinol et al. [5] combined cytogenetics with the ISS to improve risk stratification. Several techniques are available to detect genetic abnormalities in MM. Karyotyping is applied to detect cytogenetic abnormalities and abnormalities dependent on the proliferative index of malignant plasma cells but provides limited information in vitro due to the low proliferative ability of malignant plasma cells [6]. Kishimoto et al. [7]reported that abnormal karyotypes are seen in approximately 30%-50% of MM cases. The gold-standard approach for the detection of genomic abnormalities in MM is fluorescence in situ hybridization (FISH), which has been implemented and validated by various cytogenetic laboratories around the globe [8]. The identification of high-risk subtypes of myeloma is vital. According to previous works, high-risk MM patients showed a 20%-50% reduction in overall survival (OS) compared to standard-risk patient groups when undergoing induction with conventional chemotherapy followed by ASCT. The present study aimed to determine the cytogenetic characters and BM features of Turkish patients with MM.

Materials and Methods

From January 2015 to January 2021, 85 MM patients were admitted to Dokuz Eylül University Hospital in Turkey. BM samples of these MM patients were subjected to cytogenetic analyses at diagnosis and during therapy as a part of therapeutical and clinical evaluation. Conventional cytogenetic analysis was performed for all samples at presentation and after a short-term culture period of 24/72 h. Cells were treated with colcemid and harvested for 20 min. Karyotypes were then analyzed using the standard G-banding technique. A minimum of 20 metaphases per case were analyzed. The karyotypes were reported according to the 2016 International System for Human Cytogenetic Nomenclature. An interphase FISH study was performed on BM samples according to the relevant manufacturer’s hybridization and post-hybridization stringency conditions with minimal modifications. Dual-color CytoCell FISH probes specific to loci 13q14.3 (LPH006), CKS1B (1q21-22)/CDKN2C (1p32.3) (LPH039), IGH (14q32.33) (Break-apart, LPH 014), P53 (17p13.1)/ATM (11q32) (LPH 052), and MLL (11q23.3) (Break-apart, LPH 013) were used. Threshold values of copy number gain, deletion, and break-apart positivity were 7%, 7%, and 10%, respectively. FISH slides were analyzed with a motorized Olympus BX61 fluorescence microscope equipped with 4¢,6-diamidino-2-phenylindole, fluorescein isothiocyanate, rhodamine, dual, and triple band-pass filters (Chroma, Bellows Falls, VT, USA). Two independent observers analyzed the slides blindly, enumerating at least 200 optimally hybridized nuclei. The degree of BMF was detected using reticulin histochemical staining. The level of fibrosis as determined by a pathologist was scored according to the guidelines of the World Health Organization [grade 0: no fibrosis, grade 1 (mild): low (fine reticulin network), grade 2 (moderate): intermediate (multifocal or diffuse non-confluent fibrosis), grade 3 (severe): high (marked and diffuse fibrosis)]. The percentage of BM plasma cells was determined based on the extent of CD38 staining and categorized as Group 1 (<20%), Group 2 (20%-50%), or Group 3 (>50% plasma cells). The ISS was used based on the combination of serum β2-microglobulin and serum albumin.

Statistical Analysis

IBM SPSS Statistics 24.0 for Windows (IBM Corp., Armonk, NY, USA) was used for statistical analysis. Numerical variables are presented as median or mean, while categorical variables are given as number (n) and percentage (%). The OS curves were estimated using the Kaplan-Meier method whereby OS was defined as the time from the diagnosis of MM to death from any cause. The confidence interval was determined as 95% in the analyses and values of p<0.05 were considered to be statistically significant.

Results

Eighty-five MM patients were retrospectively identified between 2015 and 2021. The median age was 63 (38-90) years and 56.5% of the patients were under 65 years old. Of the 85 patients, 60 (70.6%) were male and 25 (29.4%) were female. Bone lesions were detected in 57.6% of these cases, anemia in 42.4%, impaired renal function in 27.1%, and hypercalcemia in 18.8%. Most patients were in ISS stage III. More than half of the patients received proteasome inhibitor-based therapy for induction. Information about the induction therapy of five patients could not be obtained. Further details about the demographic, laboratory, and clinical characteristics are presented in Table 1. BMF was observed at the time of diagnosis in 72 cases (84.7%). The most common finding was grade 2 fibrosis in 35 patients (41.2%). In 72.9% of the patients, a plasma cell percentage of over 50% was observed, and the most common type of plasma cell infiltration was the diffuse involvement pattern (50.6%). Based on FISH analysis, 37% (32/85) of cases showed the presence of chromosomal anomalies. The most frequent abnormality was the IGH translocation (21.3%). Based on karyotype analysis, 54.4% (37/68) of the patients had normal karyotypes while 5.8% (4/68) had abnormal karyotypes. Table 2 presents plasma cell percentages, plasma cell infiltration patterns, and fibrosis results from BM biopsy samples. Detailed cytogenetic results of these MM patients are presented in Table 3.

Table 1. Demographic, laboratory, and clinical characteristics of multiple myeloma (MM) patients.

Table 2. Analysis of plasma cell percentage, plasma cell infiltration pattern, and fibrosis in bone marrow biopsy samples from patients with multiple myeloma at diagnosis.

Table 3. Detailed cytogenetic results of multiple myeloma patients.

In this study, the median OS of the entire population was 29.4 months (Figure 1a). Del(17p13)-negative patients had longer OS compared to del(17p13)-positive patients (32.4 months vs. 11.1 months, p=0.015) (Figure 1b).

Figure 1.

a) Kaplan-Meier curve of overall survival (OS) for the entire study cohort (n=85). The median OS was 29.4 months. b) Del(17p13)-negative patients had longer OS compared to del(17p13)-positive patients (32.4 months vs. 11.1 months, p=0.015).

IGH-negative and del(13q)-negative patients had longer OS compared to IGH-positive and del(13q)-positive patients. However, this was not statistically significant (p=0.594 and p= 0.094, respectively). A lower percentage of plasma cells in the BM was associated with better OS than higher plasma cell percentages. The median OS was 42.6 months in patients with 0%-19% plasma cells, 33.5 months in patients with 20%-49% plasma cells, and 28.4 months in patients with 50%-100% plasma cells. However, this observation was not statistically significant (p=0.969). The results of multivariate analysis adjusting for the del(17p13) mutation, IGH mutation, del(13) mutation, BMF, plasma cell infiltration pattern, and plasma cell percentage are shown in Table 4.

Table 4. Multivariable Cox regression analysis for overall survival (OS).

Discussion

MM remains an incurable malignancy with varying clinical and prognostic differences depending on various factors including age, comorbidity, cytogenetic and genomic features, and tumor microenvironment characteristics in the bone marrow. The disease incidence ranges from 5 to 7 per 100,000 and increases with age. The median age at diagnosis of MM is 69 years. Fewer than 14% of patients are younger than 55 years. MM is seen more often in men and African Americans. The etiological reasons behind these differences are not sufficiently understood. Survival among patients with MM ranges from 1 year to more than 10 years. Median survival in unselected patients with MM is 3 years. The 5-year relative survival rate is 46.6% [9]. In our study, the median age was 63 and male patients constituted 70.6% of the total. These findings are slightly different from those published in the literature, possibly due to environmental and genetic factors.

Understanding the alterations in the BM microenvironment and the molecular pathways related to these changes is crucial for the further improvement of MM treatment and the outcomes of these patients. Sailer et al. [10] demonstrated that characteristics of the tumor microenvironment such as plasma cell differentiation, volume of plasma cell infiltration, and infiltration pattern have predictive value. However, the prognostic efficacy of BMF at the time of diagnosis is still controversial [11,12]. Babarović et al. [13] reported that the 5-year survival rates of patients with increased BMF subjected to post-treatment BM biopsy were significantly shorter than those of patients without fibrosis. Thus, the assessment of BMF was concluded to have prognostic value in the follow-up of MM patients [13]. A recent study by Paul et al. [14] showed that the median progression-free survival in patients without BMF was 30.2 months, while in those with BMF, it was 21 months. On the other hand, median OS was 61.2 months and 45.1 months among patients without and with BMF, respectively. These findings were statistically significant [14]. Our results suggested that the pattern of plasma cell infiltration and the degree of fibrosis at diagnosis did not significantly influence survival times, possibly due to the relatively small groups in this study.

Several predictive models like the Durie and Salmon [2] staging system and the ISS have been used to categorize MM patients into risk groups. The Durie and Salmon [2] staging system was the first such system devised for MM and it has been widely used for several decades. Later proposed by Greipp et al. [3], the ISS became more widely used. The ISS is based on the prognostic factors of serum β2-microglobulin and serum albumin. For ISS stages I, II, and III, the median survival of MM patients was determined to be 62 months, 44 months, and 29 months, respectively [3]. A major limitation of the ISS classification is that it does not consider patient-specific factors. Approximately half of our patients were in ISS stage III and their median OS was 28.4 months. Our results were thus consistent with the study of Greipp et al. [3]. Chromosomal abnormalities detected by FISH were combined with the ISS to improve risk stratification [4,5]. Because karyotypes are highly sensitive in the detection of numerical chromosomal abnormalities, patients can be classified into specific categories such as normal, hyperdiploid, or non-hyperdiploid (including hypodiploid, pseudodiploid, and near-tetraploid) karyotypes [15]. Among non-hyperdiploid cases of MM, the hypodiploid subtype is associated with poor prognosis [16,17]. In our study, abnormal karyotypes were detected in 4 of 68 (5.8%) patients. Among these cases, non-hyperdiploid abnormalities were observed in two patients. However, chromosomal abnormalities could not be evaluated in 39.7% of the total cases because of the absence of metaphase cells. FISH does not require metaphase cells before analysis and it is accepted as the gold-standard test for the detection of genomic abnormalities in MM, being applied and verified by cytogenetics laboratories around the globe [8]. Further studies are underway for identifying the optimal risk-based classification and treatment for MM and especially for the identification of high-risk MM patients. The International Myeloma Working Group provided a consensus decision stating that FISH panel testing should be performed for at least t(4;14), t(14;16), and del(17p13) to define patients with high-risk disease [18]. In addition to that recommendation, Boyd et al. [19] suggested that FISH panel tests for +1q21 and t(14;20) should be performed in MM risk classification. Deletion of chromosome 17p13 increases the immortalization of tumor cells by inhibiting apoptosis [20]. Del(17p13) is observed in about 10% of MM cases and has been associated with impaired OS [21,22,23,24]. In our study, the incidence rate of the del(17p13) mutation was 7.1% and del(17p13)-negative patients had significantly longer OS compared to del(17p13)-positive patients (32.4 months vs. 11.1 months, respectively). Previously, del(13q) was in the poor prognosis group, but it is now excluded from risk stratification as it was detected in almost 50% of myeloma patients and is thought to be secondary to the close association with t(4;14), del(17p) [19,25,26]. In this study, del(13q) was detected in 9 of 49 cases (18.4%) and a significant adverse effect of del(13q) on OS was not observed (p=0.094).

Chromosome 14q32 translocations (heavy chain IGH translocations) in MM also increase dysregulated proliferation and inhibit differentiation. Bergsagel and Kuehl [27] reported an incidence of IGH translocations of 60%-65% in intramedullary MM. However, in our study, the incidence of IGH mutations was lower (21.3%). Over 20 different IGH translocations have been revealed, among which IGH translocations t(4;14), t(14;16), and t(14;20) are associated with poor prognosis in MM patients [28]. The use of proteasome inhibitor-based induction is recommended to improve the prognosis of patients with t (4;14) but not those with del(17p13) [29]. Unfortunately, our study does not include subgroup analysis of IGH mutations that involve several recurrent translocations. Recently, gene expression profiling methods, such as sequencing comparative genomic hybridization (CGH), single nucleotide polymorphism sequencing CGH, gene expression profiling, and RNA sequencing have been introduced to identify patients with particularly high-risk MM [30,31,32]. However, this is not feasible in routine practice due to the high costs.

Study Limitations

The present study has a few limitations. It was a retrospective study based on single-center data. Possibly because of the small sample size, we did not observe a significant adverse effect of IGH mutation on OS. Since our study did not include subgroups of IGH mutations, high-risk patients could not be determined clearly.

Conclusion

To the best of our knowledge, this study is the first of its kind conducted in Turkey to include genetic results. This is especially crucial in the identification of high-risk myeloma subtypes. The subgroup analysis of IGH mutations is critical in identifying high-risk MM patients. IGH subgroup analyses have been conducted recently in our center. The present study will contribute to determining BM biopsy and cytogenetic features of MM patients in our country.