Journal List > Korean J Lab Med > v.26(5) > 1011334

Chung, See, Choi, Min, Cho, and Lee: Comparison of the Rate of Detection of Immunoglobulin Heavy Chain Gene Rearrangement by Fluoresecence In Situ Hybridization Probes in Multiple Myeloma

Abstract

Background

Immunoglobulin heavy chain (IgH) gene rearrangement, which is frequently observed in multiple myeloma, can now be detected easily by using a fluorescence in situ hybridization (FISH) method. The aim of this study was to determine the detection rate and compare the utility of the three most commonly used probes: IGH/CCND1 dual color, dual fusion probe; IGH/BCL2 dual color, dual fusion probe; and IGH dual color break apart rearrangement probe; all from Vysis Products (Downers Grove, IL, USA).

Methods

From October 1994 to July 2003, 99 patients were diagnosed as multiple myeloma at Seoul National University Hospital, Asan Medical Center and Gachon University Gil hospital. We applied the three different probes of IgH FISH on bone marrow specimens from the 99 Korean patients with multiple myeloma to detect IgH gene rearrangement.

Results

Forty-one (41.4%) of the 99 patients had IgH gene rearrangement. Of those 41 patients, 23 (56.1%) showed positive to all three probes, but the remaining 18 (43.9%) showed a discrepancy between the three probes: 13 (72.2%) of the 18 patients were only positive to the IGH dual color break apart rearrangement probe and the detection rate was 39.6% on the average.

Conclusions

These results demonstrate that IGH dual color break apart rearrangement probe is superior to the other two probes in qualitative and quantitative ways. Thus, we recommend IGH dual color break apart rearrangement probe for the diagnosis and monitoring of multiple myeloma.

References

1. Bakkus MH, Heirman C, Van Riet I, Van Camp B, Thielemans K. Evidence that multiple myeloma Ig heavy chain VDJ genes contain somatic mutations but show no intraclonal variation. Blood. 1992; 80:2326–35.
crossref
2. Dewald G, Kyle RA, Hicks GA, Greipp PR. The clinical significance of cytogenetic studies in 100 patients with multiple myeloma, plasma cell leukemia, or amyloidosis. Blood. 1985; 66:380–90.
crossref
3. Ranni NS, Slavutsky I, Wechsler A, Brieux de Salum S. Chromosome findings in multiple myeloma. Cancer Genet Cytogenet. 1987; 25:309–16.
crossref
4. Gould J, Alexanian R, Goodacre A, Pathak S, Hecht B, Barlogie B. Plasma cell karyotype in multiple myeloma. Blood. 1988; 71:453–6.
crossref
5. Offit K, Parsa NZ, Filippa D, Jhanwar SC, Chaganti RS. t(9;14)(p13;q32) denotes a subset of low-grade non-Hodgkin's lymphoma with plasmacytoid differentiation. Blood. 1992; 80:2594–9.
crossref
6. Harris NL, Jaffe ES, Stein H, Banks PM, Chan JK, Clearly ML, et al. A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group. Blood. 1994; 84:1361–92.
7. Chesi M, Nardini E, Lim RS, Smith KD, Kuehl WM, Bergsagel PL. The t(4;14) translocation in myeloma dysregulates both FGFR3 and a novel gene, MMSET, resulting in IgH/MMSET hybrid transcripts. Blood. 1998; 92:3025–34.
8. Sibley K, Fenton JA, Drring AM, Ashcroft AJ, Rawstron AC, Morgan GJ. A molecular study of the t(4;14) in multiple myeloma. Br J Haematol. 2002; 118:514–20.
crossref
9. Nishida K, Tamura A, Nakazawa N, Ueda Y, Abe T, Matsuda F, et al. The Ig heavy chain gene is frequently involved in chromosomal translocations in multiple myeloma and plasma cell leukemia as detected by in situ hybridization. Blood. 1997; 90:526–34.
crossref
10. Szczepek AJ, Bergsagel PL, Axelsson L, Brown CB, Belch AR, Pilarski LM. CD34+ cells in the blood of patients with multiple myeloma express CD19 and IgH mRNA and have patient-specific IgH VDJ gene rearrangements. Blood. 1997; 89:1824–33.
crossref
11. Huh JW, Ahn JY, Lee JH, Im SA, Seong CM, Chung WS. Detection of IgH and Cyclin D1 gene rearrangement with interphase FISH in multiple myeloma. Korean J Lab Med. 2002; 22:367–71.
12. Billadeau D, Ahmann G, Greipp P, Van Ness B. The bone marrow of multiple myeloma patients contains B cell populations at different stages of differentiation that are clonally related to the malignant plasma cell. J Exp Med. 1993; 178:1023–31.
crossref
13. Chesi M, Nardini E, Brents LA, Schrock 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.
crossref
14. Rose NR, Hamiltion RG, editors. Manual of clinical laboratory immunology. 6th ed.Washington: ASM press;2002. 54–65.
15. Iida S, Rao PH, Butler M, Corradini P, Baccadoro M, Klein B, et al. Deregulation of MUM1/IRF4 by chromosomal translocation in multiple myeloma. Nat Genet. 1997; 17:226–30.
crossref
16. Shaughnessy J Jr, Gabrea A, Qi Y, Brents L, Zhan F, Tian E, et al. Cyclin D3 at6p21 is dysregulated by recurrent chromosomal translocations to immunoglobulin loci in multiple myeloma. Blood. 2001; 98:217–23.
17. Sawyer JR, Waldron JA, Jagannath S, Barlogie B. Cytogenetic findings in 200 patients with multiple myeloma. Cancer Genet Cytogenet. 1995; 82:41–9.
crossref
18. Fonseca R, Bailey RJ, Ahmann GJ, Rajkumar SV, Hoyer JD, Lust JA, et al. Genomic abnormalities in monoclonal gammopathy of undetermined significance. Blood. 2002; 100:1417–24.
crossref
19. Nishida K, Tamura A, Nakazawa N, Ueda Y, Abe T, Matsuda F, et al. The Ig heavy chain gene is frequently involved in chromosomal translocations in multiple myeloma and plasma cell leukemia as detected by in situ hybridization. Blood. 1997; 90:526–34.
crossref
20. Phillip P, Drivsholm A, Hansen NE, Jensen MK, Killmann SA. Chromosomes and survival in multiple myeloma. A banding study of 25 cases. Cancer Genet Cytogenet. 1980; 2:243–57.
21. Moreau P, Facon T, Leleu X, Morineau N, Huyghe P, Harousseau JL, et al. Recurrent 14q32 translocations determine the prognosis of multiple myeloma, especially in patients receiving intensive chemotherapy. Blood. 2002; 100:1579–83.
crossref
22. Reiman T, Seeberger K, Taylor BJ, Szczepek AJ, Hanson J, Mant MJ, et al. Persistent preswitch clonotypic myeloma cells correlate with decreased survival: evidence for isotype switching within the myeloma clone. Blood. 2001; 98:2791–9.
crossref
23. 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.
crossref
24. Hallek M, Bergsagel PL, Anderson KC. Multiple myeloma: increasing evidence for a multistep transformation process. Blood. 1998; 91:3–21.
crossref

Table 1.
Comparison of the results of IGH/CCND1, IGH/BCL2 and IGH break apart rearrangement probes in patients with multiple myeloma
FISH Probe N. (%) of patients positive (N=99)
IGH/CCND1 28 (28.3%)
IGH/BCL2 23 (23.2%)
IGH break apart probe 41 (41.4%)
Table 2.
Results of FISH by 3 kinds of probes involving IgH gene in patients with multiple myeloma
IGH break apart IGH/CCND1 IGH/BCL2 N. of patients positive (N=99)
+ 13
+ 0
+ 0
+ + + 23
+ + 5
+ + 0
58
Table 3.
Proportion of cells with a positive signal to each probe among 200 bone marrow nucleated cells in patients with multiple myeloma
Case No. (N=23) IGH/CCND1 (%) IGH/BCL2 (%) IGH break apart rearrangement (%)
1 75.0 98.0 84.0
2 40.0 24.5 30.0
3 18.0 20.5 12.0
4 11.0 9.5 21.5*
5 79.0 48.0 80.5*
6 80.5 85.0 100.0*
7 27.5 17.0 20.0
8 18.0 11.5 15.0
9 60.0 80.0 95.0*
10 62.0 85.0 86.0*
11 16.5 19.0 28.0*
12 40.0 48.0 12.0
13 22.0 28.0 25.5
14 12.0 5.0 15.5*
15 13.5 15.0 14.5
16 25.0 10.0 21.0
17 3.0 8.0 30.0*
18 9.0 10.0 12.0*
19 70.0 56.0 62.5
20 65.0 48.5 71.0*
21 29.0 17.0 70.3*
22 52.0 18.0 54.0*
23 47.0 10.0 17.5
Mean 38.1 33.5 42.5

* bold, The quantitative results with IGH break apart rearrangement probe higher than those with the other probes.

Table 4.
Quantitative results of 13 cases showing IgH rearrangement only by IGH break apart rearrangement probe
No of case (N=13) IGH/CCND1 (%) IGH/BCL2 (%) IGH break apart rearrangement (%)
1 0.0 0.0 34.5
2 0.0 0.0 51.0
3 0.0 0.0 38.0
4 0.0 0.0 44.5
5 0.0 0.0 26.0
6 0.0 0.0 17.5
7 0.0 0.0 30.5
8 0.0 0.0 23.5
9 0.0 0.0 38.0
10 0.0 0.0 61.5
11 0.0 0.0 67.0
12 0.0 0.0 29.5
13 0.0 0.0 53.0
Mean 0.0 0.0 39.6
TOOLS
Similar articles