Abstract
Three types of chromosomal translocations, t(4;14)(p16;q32), t(14;16)(q32;q23), and t(11;14)(q13;q32), are associated with prognosis and the decision making of therapeutic strategy for multiple myeloma (MM). In this study, we developed a new diagnostic modality of the multiplex FISH in immunophenotyped cells in suspension (Immunophenotyped-Suspension-Multiplex (ISM)-FISH). For the ISM-FISH, we first subject cells in suspension to the immunostaining by anti-CD138 antibody and, then, to the hybridization with four different FISH probes for genes of IGH, FGFR3, MAF, and CCND1 tagged by different fluorescence in suspension. Then, cells are analyzed by the imaging flow cytometry MI-1000 combined with the FISH spot counting tool. By this system of the ISM-FISH, we can simultaneously examine the three chromosomal translocations, i.e, t(4;14), t(14;16), and t(11;14), in CD138-positive tumor cells in more than 2.5 × 104 nucleated cells with the sensitivity at least up to 1%, possibly up to 0.1%. The experiments on bone marrow nucleated cells (BMNCs) from 70 patients with MM or monoclonal gammopathy of undetermined significance demonstrated the promising qualitative diagnostic ability in detecting t(11;14), t(4;14), and t(14;16) of our ISM-FISH, which was more sensitive compared with standard double-color (DC) FISH examining 200 interphase cells with its best sensitivity up to 1.0%. Moreover, the ISM-FISH showed a positive concordance of 96.6% and negative concordance of 98.8% with standard DC-FISH examining 1000 interphase cells. In conclusion, the ISM-FISH is a rapid and reliable diagnostic tool for the simultaneous examination of three critically important IGH translocations, which may promote risk-adapted individualized therapy in MM.
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Introduction
Multiple myeloma (MM) is the second most frequent hematologic malignancy which is cytogenetically and molecularly highly heterogeneous among patients [1,2,3,4,5,6]. The identification of cytogenetic abnormality is essential in the clinical practice of MM. Especially, the detection of structural abnormalities of chromosomal translocations, such as t(4;14)(p16;q32) for hybrid gene fusions between IGH and FGFR3 or MMSET, t(14;16)(q32;q23) for IGH/MAF fusion gene, and t(11;14)(q13;q32) for IGH/CCND1 fusion gene, and various types of numerical abnormalities, including 1q gain/amplification, and deletion 17p, is indispensable for the prediction of treatment response and prognosis and the choice of therapeutic strategy. Epidemiologically, t(4;14), t(14;16) and t(11;14) are present in approximately 10–25, 3–7, and 15–20% of patients with newly diagnosed MM (NDMM), respectively [1, 2, 5, 7]. Since the acquisition of these chromosomal translocations has been considered the initial founding step in the development of myeloma-initiating cells, all myeloma cells share the same translocation in each patient, while these three major structural IGH translocations are generally mutually exclusive. Importantly, these three translocations also strongly associate with the profiles of co-existing genetic/molecular abnormalities and gene expression patterns of myeloma cells [8, 9], and have significant impacts on the clinical features, the efficacy of treatment strategies, and the eventual prognosis of patients in clinical practice. Indeed, the presence of t(4;14) or t(14;16) is incorporated as a component of poor prognostic factors in the revised International Staging System [10], while the prognostic impact of t(11;14) has been controversial in association with various confounding factors, such as the type of treatment and the co-existing additional chromosomal abnormalities [11,12,13]. However, the prognosis of patients with t(4;14) or t(14;16) has been improved by the therapeutic approaches incorporating proteasome inhibitors or monoclonal antibodies against CD38 or SLAMF7 [14,15,16,17], but not by high-dose melphalan supported by autologous stem cell transplantation or by immunomodulatory drugs. The efficacy of BCL2 inhibitor venetoclax is particularly prominent in patients with t(11;14), while not in patients without t(11;14) [11, 13]. Thus, the judgment of the presence or the absence of these three translocations is the prerequisite for the treatment selection and the prediction of prognosis in the clinical practice of MM.
The traditional Giemsa (G)-banding technique has several shortcomings, as it requires the presence of metaphase spreads of fresh living tumor cells, but not frozen cells, and has the difficulty in analyzing low proliferative cells, such as myeloma cells. In addition, G-banding is not a high-resolution technique and is insufficient for the detection of t(4;14) owing to its involvement in subtle telomeric regions [7]. To overcome these, FISH for the gene of interest has been widely applied for chromosomal diagnosis in MM. Due to its primary role in mapping genes on chromosomes not only in metaphase cells but also in interphase cells, double-color (DC) interphase-FISH offers a practical advantage in detecting gene fusion by chromosomal translocation even in low proliferative myeloma cells [18]. However, with the conventional DC-FISH on fixed whole bone marrow (BM) mononucleated cells attached to the glass slide, there is a need for repeating the direct observation of more than hundreds of cells (usually 200–400 cells) probed by DC-FISH probes for different types of translocations individually under a fluorescence microscope. Even with the enrichment of CD138-positive cells, cell sorting procedures are time and cost-consuming, and the situation is the same in that investigators need to repeat the direct observation for different types of translocations individually.
The environment of clinical practice and laboratory tests varies widely among countries and institutes. To make a cytogenetic diagnosis of myeloma cells more convenient in daily practice universally, we in this study developed a new diagnostic modality of the multiplex FISH in immunophenotyped cells in suspension (Immunophenotyped-Suspension-Multiplex (ISM)-FISH), using the imaging flow cytometry which can simultaneously examine three disease-specific chromosomal translocations, i.e., t(11;14), t(4;14) and t(14;16) in CD138-positive tumor cells of plasma cell dyscrasia, including MM and monoclonal gammopathy of undetermined significance (MGUS).
Materials and methods
Cell lines and patient-derived samples
Human myeloma-derived cell lines (HMCLs), KMS-11, KMS-21-BM, KMS-26, and acute myelogenous leukemia-derived cell line HL-60 were purchased from the Japanese Collection of Research Bioresources (Osaka, Japan). BM samples were obtained from patients with MGUS (n = 12), NDMM (n = 23), and RRMM (n = 35) between September 2017 and March 2021 at the Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine (KPUM). MGUS/MM was diagnosed based on the International Myeloma Working Group 2014 criteria [19]. Written informed consent was obtained from all patients. The study was conducted in compliance with the Declaration of Helsinki, and the study protocol was approved by the institutional review board of KPUM (ERB-C-930-1).
Immunophenotyped-suspension-multiplex (ISM)-FISH using the imaging flow cytometry
In brief, ISM-FISH was performed as shown in Fig. 1a. BM fluid was subjected to hypotonic treatment with 75 mM KCL. Then, BM nucleated cells (BMNCs) were fixed in Carnoy’s solution (3:1, methanol; acetic acid). Fixed cells were washed with 1x PBS containing 0.5% BSA (Proliant Biologicals, Ankeny, IA, USA) twice, and were resuspended in 1x PBS containing 0.2% Pluronic F (PF)-127 (Sigma Aldrich, St. Luis, MO), and were stained by Brilliant violet (BV) 421-conjugated anti-human CD138 antibody (clone MI15) (BioLegend, San Diego, CA, USA) diluted at 1:20 with 2 mM bissulfosuccinimidyl suberate (BS3) crosslinking (Thermo Fisher Scientific, Waltham, MA, USA) (Fig. 1b). The immunostaining reaction was stopped by the addition of 1 x TBS containing 0.2% PF-127, and cells were washed and resuspended in 1 x PBS containing 0.2% PF-127. Four customized FISH probes for Texas Red (TxRed)-conjugated probe for IGH, FITC-conjugated probe for FGFR3, Gold-conjugated probe for CCND1, and Cy5-conjugated probe for MAF (Cytocell, Cambridge, UK) Fig. 1b were prewarmed at 37 °C, mixed with cells, and were subjected to denature at 92 °C for 5 min, followed by hybridization at 42 °C for at least 16 h. Hybridized cells were resuspended with 2 × SSC buffer containing 0.2% PF-127, were washed, resuspended with 0.4 × SCC containing 0.2% PF-127 prewarmed, and were incubated for 2 min at 73 °C. Then, more than 2.5 × 104 cells per sample were subjected to the imaging flow cytometric analysis using MI-1000 (Sysmex, Hyogo, Japan). Scatter plot analysis was performed with IDEAS software (ver. 6.2) (Amnis, Seattle, WA, USA). In the process of imaging flow cytometric analysis, we first isolated singlet cells that were optimal for the investigation by removing cells that were out of frame, defocused cells, and clustering cells under bright field observation. Next, we selected cells optimal for cytogenetic analysis by removing cells that were insufficiently hybridized with FISH probes or cells with high noise, and, then, sorted CD138-positive cell fraction for evaluating the cytogenetic status of myeloma cells using the FISH spot counting tool (Sysmex) (Fig. 1c).
Standard double-color (DC)-FISH
Conventional standard DC-FISH for IGH/CCND1, IGH/FGFR3, and IGH/MAF were separately performed for each sample as described previously [18, 20]. Probes utilized for standard DC-FISH were Vysis LSI IGH/FGFR3 Dual Color Dual Fusion Probes, Vysis LSI IGH/CCND1 Dual Color Dual Fusion Probe, and Vysis LSI IGH/MAF Dual Color Dual Fusion Probes (Abbott, Abbott Park, IL). An independent analysis was routinely performed on 200 interphase cells for three chromosome translocations, and on 1000 interphase cells in case needed. The cut-off values of detection for three translocations were 1.0%.
Statistics
Statistical analyses were performed with EZR, a graphical user interface for R version 4.1.1. (The R Foundation for Statistical Computing, Vienna, Austria) [21]. The student’s t-test was used to compare continuous variables between groups, and a p-value less than 0.05 was considered significant.
Results
ISM-FISH enables the simultaneous evaluation of three chromosomal translocations in myeloma cells
First, we investigated whether our ISM-FISH system enables the simultaneous evaluation of the presence and/or absence of the three target chromosomal translocations, i.e., t(11;14) for IGH/CCND1, t(4;14) for IGH/FGFR3, and t(14;16) for IGH/MAF. For this purpose, we utilized three HMCLs, KMS-21BM cells harboring t(11;14), KMS-26 cells harboring t(4;14), and KMS-11 cells with concomitant two chromosomal translocations of t(4;14) and t(14;16) [22, 23]. As a negative control, we utilized HL-60 cells without any of the three translocations. As shown in Fig. 2a, the examinations on HL-60 cells revealed that our system produced false-positive signals for three chromosomal translocations in approximately 10% of the cells examined. In the three HMCLs, our system identified the presence of the chromosomal translocation(s) that should be present in each HMCL, while also showing both false-negative signals in 20.2 to 51.1% (median: 39.2%) cells and false-positive signals in 10.4 to 37.8% (median: 15.0%) cells (Fig. 2b–d). However, the differences between the rates for true-positive signal(s) and false-positive signals were statistically significant in all three HMCLs examined. These indicate the qualitative diagnostic ability of our system, while also the need for the establishment of an optimal threshold for a false-positive signal for each chromosomal translocation.
Sensitivity of ISM-FISH for the simultaneous evaluation of three chromosomal translocations
We next investigated the sensitivity of the ISM-FISH system. For this purpose, we mixed KMS-26 cells harboring IGH/FGFR3 translocation and HL-60 cells by different ratios (100%, 10%, 1%, 0.1%, 0%) and subjected mixed samples to the ISM-FISH system. As shown in Fig. 3, %cells with ≥1 fusion spot for IGH/FGFR3 showed almost the same value around 60–70% when KMS-26 cells are mixed at 1–100%. Even at 0.1% of KMS-26 cells, the ISM-FISH system detected a significantly higher proportion of cells with IGH/FGFR3 translocation (true-positive signals) compared with false-positive signals for IGH/CCND1 and IGH/MAF in the presence of 0.1% of KMS-26 cells with the background of 99.9% of HL-60 cells, suggesting the sensitivity of ISM-FISH is at least 1%, and possibly up to 0.1%. Additional experiments showed that the system was not sensitive in case translocation-positive cells were less than 0.1% (data not shown).
ISM-FISH for patient-derived BM samples containing various proportions of myeloma cells
Finally, we examined the clinical utility of ISM-FISH for the simultaneous evaluation of three chromosomal translocations in comparison with standard DC-FISH in 70 patient-derived BM samples containing various proportions of tumor cells Table S1. In ISM-FISH, the negative cut-off threshold was determined by mean + 3 standard deviation (%) of cells with more than 1 fusion spot(s) of 30 randomly selected translocation-negative patients with standard FISH. Accordingly, the negative cut-off thresholds (%) for IGH/CCND1, IGH/FGFR3, and IGH/MAF were determined to be 42.0%, 38.1%, and 41.0%, respectively (Fig. 4). With these settings, IGH/CCND1 translocation was considered positive in 16 patients by both standard DC-FISH (200 cells) and by ISM-FISH, in 3 patients only by ISM-FISH, and in one patient only by standard DC-FISH (200 cells). In 3 ISM-FISH-positive/standard DC-FISH (200 cells)-negative samples, the extensive observation of 1,000 interphase cells with standard DC-FISH revealed the presence of a small proportion of IGH/CCND1-positive cells (1.2% (data not shown) and 2.7% (Fig. 5a) in two samples, while did not detect positive cell in one sample. IGH/FGFR3 translocation was positive in 8 patients by standard FISH, while in two more samples by ISM-FISH. The extensive observation of 1,000 interphase cells with standard DC-FISH revealed the presence of a small proportion of IGH/FGFR3-positive cells in two samples (3.4% (data not shown) and 0.3% (Fig. 5b). As for IGH/MAF, while 3 samples were considered positive by standard DC-FISH, one more sample was also considered to be positive by ISM-FISH (Table 1, Fig. 4). In one sample which was ISM-FISH-positive/standard DC-FISH (200 cells)-negative for IGH/MAF, the extensive observation of 1,000 interphase cells with standard DC-FISH did not detect IGH/MAF-positive cells (data not shown). Collectively, ISM-FISH showed a positive concordance of 96.6% and a negative concordance of 98.8% with standard FISH (1,000 cells). ISM-FISH was found to be more sensitive compared to standard DC-FISH (200 cells).
Discussion
Various attempts have been made to use flow cytometry technology to evaluate chromosome status since the development of flow karyotyping in the mid-1970s [24, 25]. Then, the combination assay of the FISH technique and the immunophenotyping of cells of interest using flow cytometric procedure, the so-called immune-S-FISH, has been introduced as a successor modality [25,26,27,28,29]. Unlike the standard FISH for cells attached to the glass slide, the immuno-S-FISH enabled the high-throughput evaluation of the chromosome status of many immunophenotyped cells in suspension. In addition, the automated analysis with digital image capture enables the standardized evaluation of chromosomal status which may diminish operator bias. As the result, the immune-S-FISH technique has been successfully translated into the use for the detection of diagnostically/prognostically important chromosomal abnormalities in hematologic malignancies [27,28,29,30,31]. However, in those previous studies, the immune-S-FISH technique has been only applied for the simultaneous detection of up to two types of chromosome abnormalities in hematologic malignancies, such as trisomy 12 and del(17p) in chronic lymphocytic leukemia, or t(15;17) in acute promyelocytic leukemia [28, 29]. Therefore, the ISM-FISH presented in this study is the first which enables the simultaneous investigation of three chromosomal translocations by using five different fluorescence for four genomic regions and one cell surface antigen. This unique property is especially useful in distinguishing disease subtypes of the same disease entity defined by the type of chromosomal abnormality. Potential target candidate diseases for the application of ISM-FISH other than MM include B cell lymphomas consisting of various subtypes, including double/triple hit lymphoma, defined by specific and/or prognostically important IGH chromosomal translocations, such as those involving BCL2, MYC, BCL6, or CCND1, or acute leukemias with subtype-specific chromosomal translocations involving core binding factors or Philadelphia chromosome [31,32,33,34]. This technique will be also useful for evaluating /monitoring the presence of simultaneous hematologic diseases e.g., BM involvement of myeloma, lymphoma, CLL, and myelodysplastic syndrome.
The optimal selection of biologically/pathologically specific antigens is crucial for the accurate immunophenotyping of cells of interest in the ISM-FISH. Among various antigens expressed on myeloma cells, we selected CD138 as the marker antigen in this study, as CD138 is widely expressed in the plasma cells of most patients with MGUS and MM [35, 36]. The use of CD138 as the selection marker makes the sensitivity of our system at least up to 1%, which is much higher than the sensitivity with standard DC-FISH, and the high sensitivity with the ISM-FISH is particularly advantageous in the setting of clinical practice for the chromosomal diagnosis in MGUS and MM. While the plasma cell ratio in BM is defined to be below 10% for the diagnosis of MGUS which is a pre-malignant phase of MM, it is frequently around 0–3%. Among various factors proposed as risk factors for the progression to MM which occurs in approximately 10% of patients with MGUS, clonal expansion of chromosomal translocation-positive cells has been suggested to be one of the predictors for disease progression [37,38,39], while the proportion of clonal plasma cells in BMNCs is not infrequently sufficient to be analyzed by the standard DC-FISH in MGUS [38]. Thus, our system of ISM-FISH is particularly useful for the investigation of chromosomal translocations in MGUS compared to standard DC-FISH. Even with untreated MM at diagnosis, the proportion of myeloma cells in BMNCs obtained by BM aspiration is occasionally low, sometimes less than 5% due to the patchy and heterogenous intra-BM distribution/infiltration of myeloma cells in BM [40]. In such a situation, it is expectable that the ISM-FISH may overcome the difficulty of cytogenetic diagnosis by standard DC-FISH due to the low percentage of myeloma cells in BM fluid.
The technical limitation of the ISM-FISH developed here was a relatively high ratio of both false-positive and false-negative fusion signals in an individual sample. The false-positive fusion signal of different fluorescent signals for different target genes that are spatially distinct hybridization spots occurs due to the superimposed spots on two-dimensional (2D) projection of three-dimensional (3D) cells which occurs not only in ISM-FISH but also in the standard DC-FISH; however, this formidable problem could be further enhanced with the ISM-FISH for examining four genes compared to the standard DC-FISH examining two genes, because the simultaneous hybridization of more target genes increases the frequency of incidental signal overlap. In addition, the use of unattached spherical moving cells in solution may also increase the incidental overlap of different fluorescent signals in the imaging flow cytometry system. Similarly, the problem of “2D projection of 3D cell” also causes the false-negative signal, as this also causes the incidental overlap of the same fluorescent signals, and, again, this error could increase by examining more hybridization signals in spherical moving single cells [41]. In addition, a higher signal-to-noise ratio is required for the accurate detection of a positive signal in the imaging flow cytometry, while the detection of the real signal could be sometimes low with moving cells in solution. This also potentially causes the increase of false-negative results in the ISM-FISH. As one example of the relatively high rate of false-positive signals, we experienced false-positive signals of IGH/FGFR3 in approximately 30% cells of tumor cells in KMS-21BM cells (Fig. 2b), while the false-positive rates were around 20% in patient-derived BM cells (Fig. 4). The most conceivable reasons for the high false-positive rate of IGH/FGFR3 signal in KMS-21BM cells were the gene amplifications of IGH up to 6-8 copies, 3 copies of MAF and 4 copies of FGFR3 in KMS-21BM cells as identified by DC-FISH (Supplementary Fig. 1). Indeed, the false-positive fusion signals for IGH/FGFR3 and IGH/MAF were also detected in a few KMS-21BM cells with DC-FISH (data not shown). Such cytogenetic characteristics of KMS-21BM cells caused the increase of false-positive fusion signals of IGH/FGFR3 and IGH/MAF. However, such a huge gene amplification like IGH up to 6–8 copies is uncommon in patient-derived primary myeloma cells, and we were able to diagnose IGH/FGFR3 by having an appropriate threshold even in cells with a high number of IGH amplification like KMS-21BM cells.
The other limitation is the lack of diagnostic ability of the current system in samples with deletion of der(14) containing the translocated FGFR3 which occurs in up to 25% of t(4;14) patients [42], due to the use of probe for FGFR3 for the t(4;14) detection instead of that for NSD2. However, the future change of probe that detects the NSD2 gene may resolve this problem. Finally, due to the lack of ability for accurate signal quantification, the current ISM-FISH system is not suitable for the accurate evaluation of +1q and del(17p) in MM, and the accurate monitoring of tumor cell proportion in hematologic malignancies other than MM. Nevertheless, our ISM-FISH system provides a reliable qualitative diagnosis of three chromosomal translocations with the establishment of optimal thresholds simultaneously.
In conclusion, this study developed the new diagnostic system of ISM-FISH which enables the simultaneous diagnosis of three clinically pivotal chromosomal translocations, t(4;14), t(14;16), and t(11;14), in MGUS and MM. This system may facilitate rapid reliable cytogenetic diagnosis and promote patient-oriented therapy according to the type of chromosomal translocation in the setting of clinical practice.
References
Fonseca R, Bergsagel PL, Drach J, Shaughnessy J, Gutierrez N, Stewart AK, et al. International Myeloma Working Group molecular classification of multiple myeloma: spotlight review. Leukemia. 2009;23:2210–21.
Munshi NC, Avet-Loiseau H. Genomics in multiple myeloma. Clin Cancer Res. 2011;17:1234–42.
Bolli N, Avet-Loiseau H, Wedge DC, Van Loo P, Alexandrov LB, Martincorena I, et al. Heterogeneity of genomic evolution and mutational profiles in multiple myeloma. Nat Commun. 2014;5:2997.
Kazandjian D. Multiple myeloma epidemiology and survival: A unique malignancy. Semin Oncol. 2016;43:676–81.
Kumar SK, Rajkumar SV. The multiple myelomas - current concepts in cytogenetic classification and therapy. Nat Rev Clin Oncol. 2018;15:409–21.
Hoang PH, Cornish AJ, Dobbins SE, Kaiser M, Houlston RS. Mutational processes contribute to the development of multiple myeloma. Blood Cancer J. 2019;9:60.
Chesi M, Nardini E, Brents LA, Schröck E, Ried T, Kuehl WM, et al. Frequent translocation t(4;14)(p16.3;q32.3) in multiple myeloma is associated with increased expression and activating mutations of fibroblast growth factor receptor 3. Nat Genet. 1997;16:260–4.
Walker BA, Mavrommatis K, Wardell CP, Ashby TC, Bauer M, Davies FE, et al. Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma. Blood. 2018;132:587–97.
Ziccheddu B, Da Via MC, Lionetti M, Maeda A, Morlupi S, Dugo M, et al. Functional Impact of Genomic Complexity on the Transcriptome of Multiple Myeloma. Clin Cancer Res. 2021;27:6479–90.
Palumbo A, Avet-Loiseau H, Oliva S, Lokhorst HM, Goldschmidt H, Rosinol L, et al. Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group. J Clin Oncol. 2015;33:2863–9.
Kumar S, Kaufman JL, Gasparetto C, Mikhael J, Vij R, Pegourie B, et al. Efficacy of venetoclax as targeted therapy for relapsed/refractory t(11;14) multiple myeloma. Blood. 2017;130:2401–9.
Takamatsu H, Yamashita T, Kurahashi S, Saitoh T, Kondo T, Maeda T, et al. Clinical Implications of t(11;14) in Patients with Multiple Myeloma Undergoing Autologous Stem Cell Transplantation. Biol Blood Marrow Transplant. 2019;25:474–9.
Paner A, Patel P, Dhakal B. The evolving role of translocation t(11;14) in the biology, prognosis, and management of multiple myeloma. Blood Rev. 2020;41:100643.
Lonial S, Dimopoulos M, Palumbo A, White D, Grosicki S, Spicka I, et al. Elotuzumab Therapy for Relapsed or Refractory Multiple Myeloma. N Engl J Med. 2015;373:621–31.
Dimopoulos MA, Dytfeld D, Grosicki S, Moreau P, Takezako N, Hori M, et al. Elotuzumab plus Pomalidomide and Dexamethasone for Multiple Myeloma. N Engl J Med. 2018;379:1811–22.
Giri S, Grimshaw A, Bal S, Godby K, Kharel P, Djulbegovic B, et al. Evaluation of Daratumumab for the Treatment of Multiple Myeloma in Patients With High-risk Cytogenetic Factors: A Systematic Review and Meta-analysis. JAMA Oncol. 2020;6:1759–65.
Usmani SZ, Quach H, Mateos MV, Landgren O, Leleu X, Siegel D, et al. Carfilzomib, dexamethasone, and daratumumab versus carfilzomib and dexamethasone for patients with relapsed or refractory multiple myeloma (CANDOR): updated outcomes from a randomised, multicentre, open-label, phase 3 study. Lancet Oncol. 2022;23:65–76.
Taniwaki M, Nishida K, Ueda Y, Misawa S, Nagai M, Tagawa S, et al. Interphase and metaphase detection of the breakpoint of 14q32 translocations in B-cell malignancies by double-color fluorescence in situ hybridization. Blood. 1995;85:3223–8.
Rajkumar SV, Dimopoulos MA, Palumbo A, Blade J, Merlini G, Mateos MV, et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014;15:e538–548.
Mizuno Y, Chinen Y, Tsukamoto T, Takimoto-Shimomura T, Matsumura-Kimoto Y, Fujibayashi Y, et al. A novel method of amplified fluorescent in situ hybridization for detection of chromosomal microdeletions in B cell lymphoma. Int J Hematol. 2019;109:593–602.
Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013;48:452–8.
Otsuki T, Wada H, Nakazawa N, Taniwaki M, Kouguchi K, Ohkura M, et al. Establishment of CD7+ human myeloma sister cell lines, KMS-21-PE and KMS-21-BM, carrying t(11;14) and t(8;14). Leuk Lymphoma. 2001;42:761–74.
Lombardi L, Poretti G, Mattioli M, Fabris S, Agnelli L, Bicciato S, et al. Molecular characteriation of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease. Genes Chromosomes Cancer. 2007;46:226–38.
Gray JW, Carrano AV, Steinmetz LL, Van Dilla MA, Moore DH, Mayall BH, et al. Chromosome measurement and sorting by flow systems. Proc Natl Acad Sci USA. 1975;72:1231–4.
Stanley J, Hui H, Erber W, Clynick B, Fuller K. Analysis of human chromosomes by imaging flow cytometry. Cytom B. 2021;100:541–53.
Maguire O, Wallace PK, Minderman H. Fluorescent In Situ Hybridization in Suspension by Imaging Flow Cytometry. Methods Mol Biol. 2016;1389:111–26.
Fuller KA, Bennett S, Hui H, Chakera A, Erber WN. Development of a robust immuno-S-FISH protocol using imaging flow cytometry. Cytom A. 2016;89:720–30.
Grimwade LF, Fuller KA, Erber WN. Applications of imaging flow cytometry in the diagnostic assessment of acute leukaemia. Methods. 2017;112:39–45.
Hui HYL, Clarke KM, Fuller KA, Stanley J, Chuah HH, Ng TF, et al. “Immuno-flowFISH” for the Assessment of Cytogenetic Abnormalities in Chronic Lymphocytic Leukemia. Cytom A. 2019;95:521–33.
Zahedipour F, Ranjbaran R, Behzad Behbahani A, Afshari KT, Okhovat MA, Tamadon G, et al. Development of Flow Cytometry-Fluorescent In Situ Hybridization (Flow-FISH) Method for Detection of PML/RARa Chromosomal Translocation in Acute Promyelocytic Leukemia Cell Line. Avicenna J Med Biotechnol. 2017;9:104–8.
Hui HYL, Stanley J, Clarke K, Erber WN, Fuller KA. Multi-probe FISH Analysis of Immunophenotyped Chronic Lymphocytic Leukemia by Imaging Flow Cytometry. Curr Protoc. 2021;1:e260.
Bennour A, Saad A, Sennana H. Chronic myeloid leukemia: Relevance of cytogenetic and molecular assays. Crit Rev Oncol Hematol. 2016;97:263–74.
Ma ES. Recurrent Cytogenetic Abnormalities in Non-Hodgkin’s Lymphoma and Chronic Lymphocytic Leukemia. Methods Mol Biol. 2017;1541:279–93.
Novo M, Castellino A, Nicolosi M, Santambrogio E, Vassallo F, Chiappella A, et al. High-grade B-cell lymphoma: how to diagnose and treat. Exp Rev Hematol. 2019;12:497–506.
Witzig TE, Kimlinger T, Stenson M, Therneau T. Syndecan-1 expression on malignant cells from the blood and marrow of patients with plasma cell proliferative disorders and B-cell chronic lymphocytic leukemia. Leuk Lymphoma. 1998;31:167–75.
Kovarova L, Buresova I, Buchler T, SUSKA R, POUR L, ZAHRADOVA L, et al. Phenotype of plasma cells in multiple myeloma and monoclonal gammopathy of undetermined significance. Neoplasma. 2009;56:526–32.
Lopez-Corral L, Gutierrez NC, Vidriales MB, Mateos MV, Rasillo A, Garcia-Sanz R, et al. The progression from MGUS to smoldering myeloma and eventually to multiple myeloma involves a clonal expansion of genetically abnormal plasma cells. Clin Cancer Res. 2011;17:1692–700.
Lakshman A, Paul S, Rajkumar SV, Ketterling RP, Greipp PT, Dispenzieri A, et al. Prognostic significance of interphase FISH in monoclonal gammopathy of undetermined significance. Leukemia. 2018;32:1811–5.
Landgren O. Advances in MGUS diagnosis, risk stratification, and management: introducing myeloma-defining genomic events. Hematol Am Soc Hematol Educ Program. 2021;2021:662–72.
Lee N, Moon SY, Lee J, Park HK, Kong SY, Bang SM, et al. Discrepancies between the percentage of plasma cells in bone marrow aspiration and BM biopsy: Impact on the revised IMWG diagnostic criteria of multiple myeloma. Blood Cancer J. 2017;7:e530.
Minderman H. Simultaneous Analysis of Phenotype and Cytogenetics Using Imaging Flow Cytometry: Time to Teach Old Dogs New Tricks. Cytom A. 2019;95:943–5.
Keats JJ, Reiman T, Maxwell CA, Taylor BJ, Larratt LM, Mant MJ, et al. In multiple myeloma, t(4;14)(p16;q32) is an adverse prognostic factor irrespective of FGFR3 expression. Blood. 2003;101:1520–9.
Acknowledgements
We thank all patients and their families for their kind collaboration on this study. We also thank all current and past researchers in the Division of Hematology and Oncology, Department of Medicine, KPUM, Sysmex Corporation, Bio Medical Laboratories, and Department of Molecular Cytogenetics, Medical Research Institute, Tokyo Medical and Dental University, for their scientific support on this study.
Funding
This work was supported by Sysmex Corporation and Japan Agency for Medical Research and Development (JP19ck0106516h0001) (JK).
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KY, TY, JI, and JK were involved in the study conception and design. MK, KY, HI, and TY analyzed the data. TT, YC, SM, TF, TK, YS, and JK collected samples and analyzed the clinical data. TT, MK, and JK drafted the manuscript. JI supervised the whole research process. All authors read and approved the final paper.
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Some of the authors declared Financial and Non-Financial Relationships and Activities, and competing interests regarding this paper as indicated in the Supplementary Materials. The sponsors, other than Sysmex, had no role in the study design, data collection, data analysis, data interpretation, or writing of the report.
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Taku Tsukamoto and Masaki Kinoshita equally contributed to this work.
Johji Inazawa and Junya Kuroda are co-corresponding authors.
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Tsukamoto, T., Kinoshita, M., Yamada, K. et al. Imaging flow cytometry-based multiplex FISH for three IGH translocations in multiple myeloma. J Hum Genet 68, 507–514 (2023). https://doi.org/10.1038/s10038-023-01136-2
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DOI: https://doi.org/10.1038/s10038-023-01136-2
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