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[Cancer Research 62, 715-720, February 1, 2002]
© 2002 American Association for Cancer Research


Clinical Investigations

Biological and Prognostic Significance of Interphase Fluorescence in Situ Hybridization Detection of Chromosome 13 Abnormalities ({Delta}13) in Multiple Myeloma

An Eastern Cooperative Oncology Group Study1

Rafael Fonseca2, David Harrington, Martin M. Oken, Gordon W. Dewald, Richard J. Bailey, Scott A. Van Wier, Kimberly J. Henderson, Emily A. Blood, S. Vincent Rajkumar, Neil E. Kay, Brian Van Ness and Philip R. Greipp

Mayo Clinic Department of Hematology and Internal Medicine, Department of Laboratory Medicine and Pathology, Rochester, Minnesota 55905 [R. F., G. W. D., R. J. B., S. A. V. W., K. J. H., S. V. R., N. E. K., P. R. G.]; Eastern Cooperative Oncology Group Statistical Center, Dana Farber Cancer Institute, Boston Massachusetts 02115 [D. H., E. A. B.]; Virginia Piper Cancer Institute, Minneapolis, Minnesota 55407 [M. M. O.]; and University of Minnesota, Minneapolis, Minnesota 55455 [B. V. N.]


    ABSTRACT
 Top
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Chromosome 13 abnormalities ({Delta}13) have been associated with an unfavorable prognosis in patients with multiple myeloma (MM). The significance of this has been unresolved because of diverse methods of detection and heterogeneous groups of patients. We conducted a study of {Delta}13 in patients entered into the Eastern Cooperative Oncology Group trial E9486/E9487. Patients with newly diagnosed MM (median follow-up of survivors >100 months) were studied for {Delta}13, using bone marrow samples obtained at study enrollment. We used interphase fluorescence in situ hybridization with the probes LSI13 (Rb)/D13S319 with simultaneous immunofluorescence detection of bone marrow plasma cells (PCs). We detected {Delta}13 in 176 of 325 (54%) evaluable patients. Patients with {Delta}13 were more likely to have a serum monoclonal protein at a concentration <=1 g/dl (22 versus 13%; P = 0.04), light-chain-only MM (19.3 versus 10.8%; P = 0.04), {lambda} light chain (42 versus 28%; P = 0.027), stage III (56 versus 42%; P = 0.014), and be female (60 versus 50%; P = 0.087). The PC labeling index and {Delta}13 correlated (P = 0.03). Patients with {Delta}13 were less likely to respond to treatment (74 versus 63%; P = 0.041) and had a significantly shorter median overall survival (34.9 versus 51 months; P = 0.021). The association of {Delta}13 and survival remained an independent prognostic variable in a regression model. Among patients with {Delta}13, those receiving IFN had a worse overall survival that those not receiving the medication (P = 0.03). The presence of {Delta}13 is an important and independent adverse prognostic factor in newly diagnosed MM and is associated with specific biological features.


    INTRODUCTION
 Top
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Abnormalities of chromosome 13 ({Delta}13), especially 13q- and monosomy, are common in MM3 PCs, as detected by karyotype analysis (15–20%; Refs. 1, 2, 3 ), multicolor metaphase FISH (4 , 5) , and comparative genomic hybridization (6 , 7) . Deletions of 13q14 have been detected in 30–50% of MM patient samples by interphase FISH studies (8, 9, 10, 11, 12) , with the majority of {Delta}13 representing monosomy (13 , 14) .

Detection of {Delta}13 by conventional karyotype analysis has been documented as a powerful adverse prognostic factor in MM patients treated with high-dose chemotherapy and stem cell support (15 , 16) . However, in MM there is a strong association between obtaining informative abnormal metaphases and a high PCLI and extent of bone marrow involvement (17) . Recent observations have proposed that {Delta}13 abnormalities detected by interphase FISH are also associated with an adverse prognosis in MM (8 , 9 , 12) . To further establish the prognostic significance of the abnormality, {Delta}13 needs to be studied in a larger cohort of patients treated uniformly and who have all relevant prognostic variables assessed, including the most important one, PCLI. We therefore decided to test the prognostic, predictive, and biological significance of {Delta}13 in newly diagnosed MM patients entered into ECOG clinical trial E9486 and the associated correlative laboratory trial E9487 (18) . This latter set of clinical and laboratory studies in MM is ideal because this same cohort of patients has been tested for relevant prognostic factors in MM (18 , 19) . In addition, the clinical trial contains mature survival data since the study was closed to accrual in 1992.


    PATIENTS AND METHODS
 Top
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Patients Demographics.
The E9486/E9487 clinical trials were opened to accrual in February 1988 and were closed to accrual in May 1992. All patients had newly diagnosed MM and were deemed in need of treatment by their physician. Patients were randomly assigned to receive one of three regimens: VBMCP, VBMCP and high-dose cyclophosphamide, or VBMCP and s.c. recombinant IFN-{alpha}2. The study regimens and response criteria are described in detail by Oken et al. (18) . Patients randomized to the IFN-{alpha}2-containing regimen initiated this medication on day 22 of their third cycle of treatment (approximately day 64). Patients entered on the cyclophosphamide arm had to be <70 years of age. A total of 561 patients were enrolled in the E9487 laboratory correlative study. The median survival for all patients was 40.5 months, with a 5-year survival rate of 29%. The median follow-up for survivors was 108 months at the time of publication (range, 86–127 months). A total of 351 patients were included in this study for our analysis (Table 1)Citation . This subset of patients was chosen based on sample availability (frozen slides) and not for any specific patient features. This subset cohort did not appear to differ from the larger cohort of patients entered into the E9487 study (data not shown) when tested for all relevant biological and prognostic markers.


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Table 1 Clinical and laboratory descriptive features of patients

 
The following clinical features were recorded prospectively at the time of study entry and included in our analysis: gender, ECOG performance status, presence of extramedullary plasmacytomas, weight loss, bone pain, and lytic bone lesions. The following laboratory variables are also available for analysis: age, disease stage, serum and urine monoclonal protein concentrations, light chain type, hemoglobin, leukocytes, platelets, percentage of bone marrow PCs, PCLI, serum creatinine, serum calcium, albumin, bilirubin, ß2-M, CD4-positive cells (as a percentage of the circulating peripheral blood lymphocytes), CD19-positive cells (as a percentage of the circulating peripheral blood lymphocytes), CRP, and sIL-6R.

Bone Marrow Samples.
Institutional Review Board approval was obtained according to the guidelines for research with human subjects. Bone marrow aspirates were obtained at the time of study entry and submitted to the MM cell bank at the Mayo Clinic. The aspirates were enriched for mononuclear cells by the Ficoll gradient centrifugation method. Cytospin slides were made and stored at -70°C for future use. For this interphase FISH study, slides were thawed and subjected to immunofluorescence detection of the cIg light chain with clone-specific, 7-amino-4-methylcoumarin-3-acetic acid-labeled antibodies ({kappa} or {lambda}) as described previously (20) .

Probes.
To test for {Delta}13, we used the LSI 13 (Rb) and D13S319 probes from Vysis, Inc. These probes have been extensively tested in normal cells and hybridize to the 13q14-13q14.3 region (Ref. 14 ; Fig. 1Citation ). A normal pattern was considered to be that of two pairs of closely associated signals. An abnormal pattern was that of loss of signal(s) from one of the pair of probes.



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Fig. 1. PCs with both the normal (A) and abnormal pattern of hybridization (B) to test for {Delta}13. The green signals in A are the probe LSI 13 (Rb), and the red signals correspond to the probe D13S319. The normal pattern (A) is that of two closely associated signals, whereas the abnormal pattern (B) was most commonly that produced by loss of one pair of signals with the other pair remaining. Because the bone marrow contains both clonal and nonclonal cells (i.e., myeloid cells), FISH scoring can be done exclusively on the clonal PCs, as determined by their restriction of the cytoplasmic light chain.

 
Scoring Statistics.
We used the upper limit of normal for loss of one signal as reported previously by us (14) . This resulted in a patient being called as having an abnormal pattern if the percentage of PCs with only one signal exceeded 10%. Because most MM patients harboring {Delta}13 had the genetic lesions detected in >50% of clonal PCs (median, 97%), this "cutoff" criterion for positive {Delta}13 proved not to be critical for the analysis. Patients were considered evaluable if at least 100 PCs could be scored. Two independent scorers read blindly and independently each slide, thus counting a total of 200 cells per sample.

MVD.
Bone marrow angiogenesis was assessed using immunostaining for CD34 as previously described by us (21 , 22) . The average number of vessels in three hot spots counted at x400 magnification was used to determine the MVD. We also categorized patients as having low, intermediate, and high angiogenesis as described previously (21 , 22) .

Statistical Analysis.
Descriptive statistics were used to characterize patients in the study. Fisher’s exact test (23) was used to test differences among levels of categorical variables between patients with normal versus {Delta}13 scores. For continuous variables, the Wilcoxon rank-sum test (24) was used to test for differences between normal and {Delta}13 patients. The distributions for overall survival and progression-free survival were estimated using the method of Kaplan and Meier (25) . The log-rank test was used to test for differences in survival between groups (26) . Median overall survival and median progression-free survival times were obtained from the estimated survival curves, and 95% confidence intervals for these estimated times were based on the sign test (27) . To identify possibly important prognostic factors, Cox proportional hazards models (28) were used. To examine the simultaneous association of several potentially important prognostic factors on survival, we used a stepwise regression technique with Cox proportional hazards models. Factors were retained in the model if they were statistically significant at P <= 0.05.


    RESULTS
 Top
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Prevalence of Abnormalities
Of 351 patients tested for {Delta}13, 325 were evaluable (92%) and 176 were found to have {Delta}13 (54%). The biological features of patients with successful FISH analysis were not different from those of patients not evaluable (data not shown). The only feature common to patients not evaluable for {Delta}13 was that they were more likely to be nonevaluable for other FISH assays, thus indicating that failure likely was related to technical aspects of the bone marrow sample storage (data not shown).

The median number of PCs with loss of hybridization signals was 97% (range, 13–100%), and 161 patients had >50% abnormal PCs. In 172 cases (98%), there was simultaneous loss of LSI 13 (Rb) and D13S319 signals, and only 4 cases had variant deletions. There was a high degree of agreement between the findings of genetic lesions in the PCs provided by the two independent scorers (r2 = 0.99).

Clinical Features of Patients
Patient Features.
The clinical and laboratory features of patients according to the presence or absence of {Delta}13 are shown in Tables 1Citation 1 and 2Citation . There were no significant differences in the prevalence of {Delta}13 according to gender, ethnicity, or age, but some trends emerged. For MM patients younger than age 50, 65% had {Delta}13 compared with 52% in others (P = 0.1), and among patients younger than age 40, 71% had {Delta}13 compared with 53.7% in others (P = 0.46). Women appeared to be more likely to have {Delta}13 (60%) than men (50%; P = 0.087). African-American patients (n = 39) were slightly less likely to have {Delta}13 compared with Caucasians (n = 270; 44 versus 54%; P = 0.2). There was also a positive association between {Delta}13 and stage III MM. Of patients with {Delta}13, 56% were stage III compared with 42% of patients with normal results (P = 0.014).


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Table 2 Laboratory values of patients

All values are expressed as medians. Numbers in parentheses denote mean; numbers in brackets denote range.

 
Laboratory Features.
Patients with {Delta}13 were more likely to have a serum monoclonal protein concentration <=1 g/dl (22 versus 13%; P = 0.04), light-chain-only MM (19.3 versus 10.8%; P = 0.04), and were more likely to have light chains of the {lambda} type (42 versus 28%; P = 0.027). There was no correlation between plasmablastic morphology and {Delta}13 (19 , 29) . Plasmacytomas were observed in similar proportions between patients with and without {Delta}13. There appeared to be no difference in the bone marrow PC percentage between patients with and without the abnormality. Similarly there was no correlation between {Delta}13 and CRP and sIL-6R.

PCLI and ß2-M.
The PC proliferative activity, as determined by the PCLI, was higher among patients with {Delta}13 (Wilcoxon P = 0.03; Fig. 2Citation ). Serum levels of ß2-M appeared to be similar between both groups of patients (Wilcoxon P > 0.2). We performed a multiple logistic regression analysis with {Delta}13 as the response variable and the laboratory features that were found significant in univariate analysis [serum M component present/absent (<1 g/dl), light-chain-only disease, PCLI, and ß2-M] as the predictors. The only variable that remained marginally significant in predicting {Delta}13 was PCLI (P = 0.08).



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Fig. 2. PCLI values according to the presence ({Delta}13) or absence (Other) of {Delta}13. As shown, there is no clear difference between the groups of patients, with a significant overlap between both.

 
Angiogenesis.
Among 41 patients for whom bone marrow paraffin-embedded blocks were available for testing, there were no perceived differences in bone marrow angiogenesis between patients with or without {Delta}13. Patients were equally likely to have low-, intermediate-, or high-grade angiogenesis irrespective of {Delta}13 status. Similarly, the median MVD was not significantly different between patients with or without {Delta}13 (P > 0.2).

Response and Survival Analysis
Among patients evaluable for response (n = 319), those with {Delta}13 had a lower likelihood of an objective response than those without the abnormality (63 versus 74% respectively; P = 0.04; Table 3Citation ). There was no difference in the likelihood of patients achieving a complete response according to the presence or absence of {Delta}13 (12 versus 16% respectively; P = 0.4).


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Table 3 Survival and response to treatment

 
Patients with {Delta}13 also had a significantly worse overall survival (Fig. 3)Citation and progression free survival (Fig. 4)Citation . The median survival of patients with {Delta}13 was 34.9 months compared with 51 months among patients without the abnormality (P = 0.021, log-rank). The median progression-free survival times were 24.1 versus 32.5 months for patients with and without {Delta}13, respectively (P = 0.028, log-rank). Postprogression survival was not different between patients with and without {Delta}13 [11.5 (n = 123) versus 19.6 months (n = 109); P = 0.11, log-rank]. There was no significant difference in the rate of infection between patients with and without {Delta}13 in the first 6 or 12 months after study enrollment.



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Fig. 3. Overall survival of patients stratified by the presence or absence of {Delta}13.

 


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Fig. 4. Progression-free survival of patients stratified by the presence or absence of {Delta}13.

 
Among patients with {Delta}13 (n = 176), the administration of IFN-{alpha}2 was associated with a worse outcome based on an inferior overall survival (28.6 versus 39.6 months; P = 0.03, log-rank; Fig. 5Citation ). This association was not caused by an imbalance in stage distribution because among patients with {Delta}13, the stage distribution was roughly equivalent for those patients on the IFN-{alpha}2 arm and those not on the IFN-{alpha}2 arm. There were no significant survival differences for IFN-{alpha}2 administration, versus not, for patients without {Delta}13 (P > 0.2, log-rank).



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Fig. 5. Overall survival of patients with {Delta}13 and stratified by the administration of IFN as part of their treatment regimen.

 
We estimated the simultaneous effect on survival of {Delta}13 and other known prognostic variables, using stepwise fitting techniques for the proportional hazards regression. The prognostic factors in our "candidate set" included {Delta}13, percentage of bone marrow PCs, ß2-M, PCLI, sIL-6R, CRP, creatinine, albumin, hemoglobin, heavy-chain isotype, serum light chain, and Durie-Salmon stage (I and II versus III). To be placed or remain in the model, a factor had to be significant at the 0.05 level. The above continuous variables were made categorical by use of published cutoff points to divide the patients into two categories. The cutoff points were as follows: bone marrow PCs > 30%; ß2-M > 2.7 mg/dl; PCLI >= 1%; sIL-6R >= 270 ng/ml; CRP >= 2 mg/dl; creatinine >= 2 mg/dl; albumin > 3 g/dl; and hemoglobin > 10 g/dl. We had data on all of these factors for 295 of the 325 evaluable patients. Forward, backward, and stepwise variable selection procedures all produced the same final regression model: {Delta}13, percentage of bone marrow PCs, ß2-M, PCLI, and creatinine. The relative risk for these variables ranges from 1.34 ({Delta}13) to 1.74 (creatinine), showing that all were associated with substantially higher risk of death. Details about this model are shown in Table 4Citation . Using the same proportional hazards regression model to assess for progression-free survival, we found that {Delta}13 was not statistically significant (P = 0.08).


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Table 4 Proportional hazards model

 
Combination of {Delta}13 with Other Prognostic Variables
We compared the group of patients with {Delta}13 and an elevated PCLI to other patients, using two PCLI cutoff points: >=0.8% (n = 70), and >=1% (n = 57). The median survival of these two subset of patients was significantly shorter compared with the other patients: 26.6 versus 46.5 months when we used the 0.8% cutoff (P = 0.002) and 24.1 versus 46.7 months when we used the 1% cutoff. (P < 0.001).

Likewise, we have also used the same prognostic model proposed by Facon et al. (12) and have found that it accurately discerns three groups of patients: those with {Delta}13 and a ß2-M >2.5 mg/dl; those with one of the two risk factors; and patients with neither. The median survival times for these three groups were 33.2, 45, and 61 months, respectively (P < 0.0001).


    DISCUSSION
 Top
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In this study we provide a robust analysis of the significance of {Delta}13 detected by cIg-FISH for the biological classification and prognostication of MM patients. We found the abnormality in 54% of patients, and it was associated with a shorter overall survival, lower likelihood of response, advancing stages of the disease, and higher PCLI. Deletions of {Delta}13 have emerged as an important prognostic factor for the evaluation of newly diagnosed MM patients.

The prevalence of {Delta}13 in this cohort of patients is slightly higher than that reported by some authors (8, 9, 10 , 30) but not others (31) . The set of probes used for this study is standard and comparable to what has been used by many others. These probes localize to the most common area of deletion of chromosome 13 in MM. Although some investigators have reported a higher incidence of {Delta}13 (31) , most data support a prevalence of ~50% (8, 9, 10 , 30) . Using a larger number of probes would be of no use because we and others have shown that among patients with {Delta}13 in MM, 85% of these cases represent monosomy (8, 9, 10 , 30) . The combination of cytomorphological identification of PCs and cytoplasmic staining allows us to postulate that, at present, evidence supports the prevalence we report. We have also concluded that when the abnormality is present, it is usually detected in a nonheterogeneous manner, i.e., in the majority of the clonal PCs (14) . This has been confirmed by others and further supports (11 , 13) that {Delta}13 is an important lesion in the clonal PC, which is favored with clonal evolution.

The present study also allows for independent evaluation of {Delta}13 as a prognostic factor in MM without the confounding effects of detection of {Delta}13 by karyotype analysis (16) . In addition, the availability of the most important prognostic markers in MM, PCLI and ß2-M, allows us to compare {Delta}13 with factors reflective of tumor burden and proliferation. The results of our study are further strengthened by the extended follow-up clinical information, superior to that of any other reported study (30) and with the resulting minimal censoring (8%). The adverse effect on prognosis is most evident soon after the time of diagnosis, so that even when the 5-year survival was clearly superior among patients without {Delta}13, there were no perceived differences at 10 years. Thus, the presence of {Delta}13 by FISH is not universally associated with a dismal outcome.

Our study supports a lessened contribution of {Delta}13 to an adverse outcome when detected by cIg-FISH compared with {Delta}13 detected by karyotype analysis (15 , 16) . We have previously shown correlation between a high PCLI and the detection of abnormal metaphases by karyotype analysis (17) . Given the common occurrence of {Delta}13 in MM (~50%), we speculate that detection of {Delta}13 by karyotype analysis in fact is an adverse factor that represents a combination of several prognostic variables, such as {Delta}13 and a high PCLI (>=1%). In our series, the proportion of patients with this combination of factors (18%) is similar to the proportion of patients with {Delta}13 detected by karyotype analysis (15–20%; Refs. 2 , 15 , 32 , 33 ). Preliminary studies done at our institution have revealed that the group of patients with an elevated PCLI and {Delta}13 by cIg-FISH have a significant overlap with patients with {Delta}13 by karyotype.4

Although MM is frequently aneuploid, chromosome 13 is rarely trisomic, even in cases with informative metaphases (1 , 2 , 34) . In a recent study by the University of Arkansas, the authors did not report frequent occurrence of chromosome 13 trisomy (35) . In that particular study (which used multicolor metaphase FISH in patients with informative karyotypes), the authors found chromosome 13 monosomy in 54% of cases, exactly the number of cases we found in our study. We rarely (0.5%) detected patients with three signals in the PCs, which is indicative of trisomy. In other studies using comparative genomic hybridization, gains in chromosome 13 are not frequent; thus it is unlikely that a meaningful proportion of cases with MM have gains of chromosome 13 (6 , 7) . Although a rare patient may have lost one chromosome 13 while having a trisomy, as detected by karyotype, this is likely rare and of unknown clinical significance. Interphase FISH may miss a very small percentage of patients with a trisomic chromosome 13 and only two copies of chromosome 13, but it is still much more sensitive for the detection of chromosome 13 abnormalities than karyotype analysis. These facts argue that a good validated set of interphase FISH probes, such as those used in this study, are appropriate for the study of chromosome 13 monosomy in MM. We have recently found that all cases with chromosome 13 monosomy or deletion reported by karyotype analysis can also be detected by interphase FISH.4

We have documented the adverse prognostic significance of {Delta}13 in MM as suggested previously by karyotype analysis and FISH, but the reason for the apparent linkage is unclear. Although the inferior response to treatment could be postulated as causative of the lower overall survival, it could be just another indicator of the aggressive nature of the clone. We did not find a higher rate of complete response according to {Delta}13 as reported by Facon et al. (12) for patients treated by high-dose chemotherapy. It is possible that {Delta}13 represents a surrogate marker of other important cytogenetic abnormalities, with which {Delta}13 is strongly associated [e.g., t(4;14)(p16.3;q32); Ref. 36 ], and that these abnormalities are the ones that confer the negative prognostic importance to the detection of {Delta}13. It is intriguing that the median survival of patients with {Delta}13 in our study (treated with standard-dose chemotherapy) was comparable to that of patients with {Delta}13 treated with high-dose chemotherapy in the study by Facon et al. (12) despite those patients being treated with a more intensive regimen (34.9 versus 27 months). In contrast, the survival of patients without {Delta}13 in our series (51 months) appears to be shorter than that reported by Facon et al. (12) for patients treated with high-dose therapy (65 months), suggesting that the net benefit of high-dose chemotherapy is greater in patients without evidence of {Delta}13.

Increased PC proliferation has also been suggested as the mechanistic explanation for the observed adverse outcome in MM and {Delta}13. In the study by Zojer et al. (9) , the authors found a higher proliferative rate among patients (n = 5) with {Delta}13 than those without the abnormality (n = 5). Although we observed a higher proportion of patients with high PCLI among those with {Delta}13, the majority of patients had overlapping PCLI values. Other mechanisms, such as a lower apoptotic rate (37) or increased angiogenic stimuli, may also explain the worsened outcome of these patients (38) . However, unlike the recent observation by Schreiber et al. (38) in newly diagnosed and untreated MM patients, we were unable to correlate {Delta}13 and increased bone marrow neoangiogenesis in our cohort of patients.

This study, like the one by Facon et al. (12) , has provided evidence of biological differences between patients with and without {Delta}13. There is a significant association between {Delta}13 and {lambda} light-chain type as well as MM with a serum monoclonal protein concentration <=1 g/dl. Similarly, the abnormality would appear to be more common among women and younger patients. We have been unable to confirm the association of {Delta}13 with elevated lactate dehydrogenase, lower hemoglobin level, older age, and the tendency for a higher ß2-M (12) . However, although some of the perceived biological differences were of statistical significance, none were extreme.

Our finding that IFN-{alpha}2 administration resulted in shorter overall survival among MM patients with {Delta}13 needs to be prospectively tested in a larger cohort of MM patients, and the mechanisms behind this observation need to be better elucidated. IFN-{alpha}2 may act as a survival factor and protect MM cell lines from corticosteroid-induced apoptosis (39, 40, 41) . Indeed, recent data suggest that IFN-{alpha}2 may result in up-regulation of Mcl-1, acting as an antiapoptotic molecule (42) . Anecdotal experience suggests that IFN-{alpha}2 may be deleterious to some MM patients, whereas there is a subset who benefit from the latter type of intervention (43) . In support of this, Jelinek et al. (44) have shown heterogeneous patterns of response of human MM cell lines to IFN administration, with IFN-{alpha}2 acting as a growth factor for the human MM cell line KAS-6/1.

Determination of {Delta}13 status should be incorporated in all future clinical trials for accurate prognostication of patients. One of the challenges for the future will be to incorporate all relevant prognostic variables in a model that can address them simultaneously. Preliminary observations by our group and others suggest specific clustering of abnormalities. For example, we and others have found that the t(4;14)(p16.3;q32) in MM is strongly associated with {Delta}13 (11 , 36 , 45 , 46) . This same association has been suggested for t(14;16)(q32;q23), but we have been unable to confirm it.4 To conclusively establish the prognostic importance of {Delta}13 in MM, it will be important to dissect the specific contribution of each cytogenetic abnormality (i.e., patients with {Delta}13 but none of these other abnormalities).


    FOOTNOTES
 
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1 R. F. and S. V. R. are Leukemia and Lymphoma Society Translational Research Awardees. This work was supported in part by Public Health Service Grant R01 CA83724-01 (to R. F.) and Grant P01 CA62242 (to P. R. G.) from the National Cancer Institute. R. F. and P. R. G. are also supported by the Mayo Foundation and by the CI-5 Cancer Research Fund-Lilly Clinical Investigator Award of the Damon Runyon-Walter Winchell Foundation. P. R. G. and N. E. K. are supported by ECOG Grant CA21115-25C from the National Cancer Institute. Back

2 To whom requests for reprints should be addressed, at Division of Hematology and Internal Medicine, Stabile 6-22, Rochester, MN 55905. Phone: (507) 266-2162; Fax: (507) 266-9277; E-mail: fonseca.rafael{at}mayo.edu Back

3 The abbreviations used are: MM, multiple myeloma; PC, plasma cell; FISH, fluorescence in situ hybridization; PCLI, plasma cell labeling index; ECOG, Eastern Cooperative Oncology Group; VBMCP, vincristine, carmustine, melphalan, cyclophosphamide, and prednisone; ß2-M, ß2-microglobulin; CRP, C-reactive protein; sIL-6R, soluble, interleukin-6 receptor; cIg, cytoplasmic immunoglobulin; MVD, microvessel density. Back

4 R. Fonseca, Monosomy 13 in myeloma can always be detected by interphase FISH, manuscript in preparation. Back

Received 7/20/01. Accepted 12/ 3/01.


    REFERENCES
 Top
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Dewald G. W., Kyle R. A., Hicks G. A., Greipp P. R. The clinical significance of cytogenetic studies in 100 patients with multiple myeloma, plasma cell leukemia, or amyloidosis. Blood, 66: 380-390, 1985.[Abstract/Free Full Text]
  2. Sawyer J. R., Waldron J. A., Jagannath S., Barlogie B. Cytogenetic findings in 200 patients with multiple myeloma. Cancer Genet. Cytogenet., 82: 41-49, 1995.[Medline]
  3. Smadja N. V., Louvet C., Isnard F., Dutel J. L., Grange M. J., Varette C., Krulik M. Cytogenetic study in multiple myeloma at diagnosis: comparison of two techniques. Br. J. Haematol., 90: 619-624, 1995.[Medline]
  4. Rao P. H., Cigudosa J. C., Ning Y., Calasanz M. J., Iida S., Tagawa S., Michaeli J., Klein B., Dalla-Favera R., Jhanwar S. C., Ried T., Chaganti R. S. Multicolor spectral karyotyping identifies new recurring breakpoints and translocations in multiple myeloma. Blood, 92: 1743-1748, 1998.[Abstract/Free Full Text]
  5. Sawyer J. R., Lukacs J. L., Munshi N., Desikan K. R., Singhal S., Mehta J., Siegel D., Shaughnessy J., Barlogie B. Identification of new nonrandom translocations in multiple myeloma with multicolor spectral karyotyping. Blood, 92: 4269-4278, 1998.[Abstract/Free Full Text]
  6. Avet-Loiseau H., Andree-Ashley L. E., Moore D., 2nd, Mellerin M. P., Feusner J., Bataille R., Pallavicini M. G. Molecular cytogenetic abnormalities in multiple myeloma and plasma cell leukemia measured using comparative genomic hybridization. Genes Chromosomes Cancer, 19: 124-133, 1997.[Medline]
  7. Cigudosa J. C., Rao P. H., Calasanz M. J., Odero M. D., Michaeli J., Jhanwar S. C., Chaganti R. S. Characterization of nonrandom chromosomal gains and losses in multiple myeloma by comparative genomic hybridization. Blood, 91: 3007-3010, 1998.[Abstract/Free Full Text]
  8. Konigsberg R., Zojer N., Ackermann J., Kromer E., Kittler H., Fritz E., Kaufmann H., Nosslinger T., Riedl L., Gisslinger H., Jager U., Simonitsch I., Heinz R., Ludwig H., Huber H., Drach J. Predictive role of interphase cytogenetics for survival of patients with multiple myeloma. J. Clin. Oncol., 18: 804-812, 2000.[Abstract/Free Full Text]
  9. Zojer N., Konigsberg R., Ackermann J., Fritz E., Dallinger S., Kromer E., Kaufmann H., Riedl L., Gisslinger H., Schreiber S., Heinz R., Ludwig H., Huber H., Drach J. Deletion of 13q14 remains an independent adverse prognostic variable in multiple myeloma despite its frequent detection by interphase fluorescence in situ hybridization. Blood, 95: 1925-1930, 2000.[Abstract/Free Full Text]
  10. Juneau A. L., Kaehler M., Christensen E. R., Schad C. R., Zinsmeister A. R., Lust J., Hanson C., Dewald G. W. Detection of RB1 deletions by fluorescence in situ hybridization in malignant hematologic disorders. Cancer Genet. Cytogenet., 103: 117-123, 1998.[Medline]
  11. Avet-Loiseau H., Li J. Y., Morineau N., Facon T., Brigaudeau C., Harousseau J. L., Grosbois B., Bataille R. Monosomy 13 is associated with the transition of monoclonal gammopathy of undetermined significance to multiple myeloma. Intergroupe Francophone du Myelome. Blood, 94: 2583-2589, 1999.[Abstract/Free Full Text]
  12. Facon T., Avet-Loiseau H., Guillerm G., Moreau P., Geneviève F., Zandecki M., Laï J., Leleu X., Jouet J., Bauters F., Harousseau J., Bataille R., Mary J. Chromosome 13 abnormalities identified by FISH analysis and serum ß-2-microglobulin produce a powerful myeloma staging system for patients receiving high-dose therapy. Blood, 97: 1566-1571, 2001.[Abstract/Free Full Text]
  13. Avet-Loiseau H., Daviet A., Saunier S., Bataille R. Chromosome 13 abnormalities in multiple myeloma are mostly monosomy 13. Br. J. Haematol., 111: 1116-1117, 2000.[Medline]
  14. Fonseca R., Oken M., Harrington D., Bailey R., Van Wier S., Henderson K., Kay N., Van Ness B., Greipp P., Dewald G. Deletions of chromosome 13 in multiple myeloma identified by interphase FISH usually denote large deletions of the q-arm or monosomy. Leukemia, 15: 981-986, 2001.[Medline]
  15. Tricot G., Barlogie B., Jagannath S., Bracy D., Mattox S., Vesole D. H., Naucke S., Sawyer J. R. Poor prognosis in multiple myeloma is associated only with partial or complete deletions of chromosome 13 or abnormalities involving 11q and not with other karyotype abnormalities. Blood, 86: 4250-4256, 1995.[Abstract/Free Full Text]
  16. Tricot G., Sawyer J. R., Jagannath S., Desikan K. R., Siegel D., Naucke S., Mattox S., Bracy D., Munshi N., Barlogie B. Unique role of cytogenetics in the prognosis of patients with myeloma receiving high-dose therapy and autotransplants. J. Clin. Oncol., 15: 2659-2666, 1997.[Abstract/Free Full Text]
  17. Rajkumar S. V., Fonseca R., Dewald G. W., Therneau T. M., Lacy M. Q., Kyle R. A., Greipp P. R., Gertz M. A. Cytogenetic abnormalities correlate with the plasma cell labeling index and extent of bone marrow involvement in myeloma. Cancer Genet. Cytogenet., 113: 73-77, 1999.[Medline]
  18. Oken M. M., Leong T., Lenhard R. E., Jr., Greipp P. R., Kay N. E., Van Ness B., Keimowitz R. M., Kyle R. A. The addition of interferon or high dose cyclophosphamide to standard chemotherapy in the treatment of patients with multiple myeloma: Phase III Eastern Cooperative Oncology Group Clinical Trial EST 9486. Cancer (Phila.)., 86: 957-968, 1999.[Medline]
  19. Greipp P. R., Leong T., Bennett J. M., Gaillard J. P., Klein B., Stewart J. A., Oken M. M., Kay N. E., Van Ness B., Kyle R. A. Plasmablastic morphology—an independent prognostic factor with clinical and laboratory correlates: Eastern Cooperative Oncology Group (ECOG) Myeloma Trial E9486 report by the ECOG Myeloma Laboratory Group. Blood, 91: 2501-2507, 1998.[Abstract/Free Full Text]
  20. Ahmann G. J., Jalal S. M., Juneau A. L., Christensen E. R., Hanson C. A., Dewald G. W., Greipp P. R. A novel three-color, clone-specific fluorescence in situ hybridization procedure for monoclonal gammopathies. Cancer Genet. Cytogenet., 101: 7-11, 1998.[Medline]
  21. Rajkumar S. V., Fonseca R., Witzig T. E., Gertz M. A., Greipp P. R. Bone marrow angiogenesis in patients achieving complete response after stem cell transplantation for multiple myeloma. Leukemia, 13: 469-472, 1999.[Medline]
  22. Rajkumar S. V., Leong T., Roche P. C., Fonseca R., Dispenzieri A., Lacy M. Q., Lust J. A., Witzig T. E., Kyle R. A., Gertz M. A., Greipp P. R. Prognostic value of bone marrow angiogenesis in multiple myeloma. Clin. Cancer Res., 6: 3111-3116, 2000.[Abstract/Free Full Text]
  23. Cox D. . Analysis of Binary Data, Methuen and Co. London 1970.
  24. Wilcoxon F. Individual comparisons by ranking methods. Biometrics, 1: 80-83, 1949.
  25. Kaplan E. L., Meier P. Nonparametric estimation from incomplete observations. J. Am. Stat. Assoc., 53: 457-481, 1958.
  26. Peto R., Peto J. Asymptotically efficient rank invariant test procedures. J. R. Stat. Soc. Series A, 135: 185-206, 1972.
  27. Brookmeyer R., Crowly J. A. Confidence interval for the median survival time. Biometrics, 38: 29-41, 1982.
  28. Cox D. Regression models and life tables. J. R. Stat. Soc. Series B, 34: 187-202, 1972.
  29. Rajkumar S. V., Fonseca R., Lacy M. Q., Witzig T. E., Therneau T. M., Kyle R. A., Litzow M. R., Gertz M. A., Greipp P. R. Plasmablastic morphology is an independent predictor of poor survival after autologous stem-cell transplantation for multiple myeloma. J. Clin. Oncol., 17: 1551-1557, 1999.[Abstract/Free Full Text]
  30. Facon T., Lai J. L., Nataf E., Preudhomme C., Zandecki M., Hammad M., Wattel E., Jouet J. P., Bauters F. Improved cytogenetic analysis of bone marrow plasma cells after cytokine stimulation in multiple myeloma: a report on 46 patients. Br. J. Haematol., 84: 743-745, 1993.[Medline]
  31. Shaughnessy J., Tian E., Sawyer J., Bumm K., Landes R., Badros A., Morris C., Tricot G., Epstein J., Barlogie B. High incidence of chromosome 13 deletion in multiple myeloma detected by multiprobe interphase FISH. Blood, 96: 1505-1511, 2000.[Abstract/Free Full Text]
  32. Seong C., Delasalle K., Hayes K., Weber D., Dimopoulos M., Swantkowski J., Huh Y., Glassman A., Champlin R., Alexanian R. Prognostic value of cytogenetics in multiple myeloma. Br. J. Haematol., 101: 189-194, 1998.[Medline]
  33. Lai J. L., Zandecki M., Mary J. Y., Bernardi F., Izydorczyk V., Flactif M., Morel P., Jouet J. P., Bauters F., Facon T. Improved cytogenetics in multiple myeloma: a study of 151 patients including 117 patients at diagnosis. Blood, 85: 2490-2497, 1995.[Abstract/Free Full Text]
  34. Smadja N. V., Fruchart C., Isnard F., Louvet C., Dutel J. L., Cheron N., Grange M. J., Monconduit M., Bastard C. Chromosomal analysis in multiple myeloma: cytogenetic evidence of two different diseases. Leukemia, 12: 960-969, 1998.[Medline]
  35. Sawyer J. R., Lukacs J. L., Thomas E. L., Swanson C. M., Goosen L. S., Sammartino G., Gilliland J. C., Munshi N. C., Tricot G., Shaughnessy J. D., Jr., Barlogie B. Multicolour spectral karyotyping identifies new translocations and a recurring pathway for chromosome loss in multiple myeloma. Br. J. Haematol., 112: 167-174, 2001.[Medline]
  36. Fonseca R., Oken M., Greipp P. The t(4;14)(p16.3;q32) is strongly associated with chromosome 13 abnormalities ({Delta}13) in both multiple myeloma (MM) and MGUS. Blood, 98: 1271-1272, 2001.[Free Full Text]
  37. Witzig T. E., Timm M., Larson D., Therneau T., Greipp P. R. Measurement of apoptosis and proliferation of bone marrow plasma cells in patients with plasma cell proliferative disorders. Br. J. Haematol., 104: 131-137, 1999.[Medline]
  38. Schreiber S., Ackermann J., Obermair A., Kaufmann H., Urbauer E., Aletaha K., Gisslinger H., Chott A., Huber H., Drach J. Multiple myeloma with deletion of chromosome 13q is characterized by increased bone marrow neovascularization. Br. J. Haematol., 110: 605-609, 2000.[Medline]
  39. Liu P., Oken M., Van Ness B. Interferon-{alpha} protects myeloma cell lines from dexamethasone-induced apoptosis. Leukemia, 13: 473-480, 1999.[Medline]
  40. Ferlin-Bezombes M., Jourdan M., Liautard J., Brochier J., Rossi J. F., Klein B. IFN-{alpha}is a survival factor for human myeloma cells and reduces dexamethasone-induced apoptosis. J. Immunol., 161: 2692-2699, 1998.[Abstract/Free Full Text]
  41. Egle A., Villunger A., Kos M., Bock G., Gruber J., Auer B., Greil R. Modulation of Apo-1/Fas (CD95)-induced programmed cell death in myeloma cells by interferon-{alpha}2. Eur. J. Immunol., 26: 3119-3126, 1996.[Medline]
  42. Puthier D., Thabard W., Rapp M., Harousseau J., Bataille R., Amiot M. Interferon {alpha} extends the survival of human myeloma cells through an upregulation of the Mcl-1 anti-apoptotic molecule. Br. J. Haematol., 112: 358-363, 2001.[Medline]
  43. Blade J., Esteve J. Viewpoint on the impact of interferon in the treatment of multiple myeloma: benefit for a small proportion of patients?. Med. Oncol., 17: 77-84, 2000.[Medline]
  44. Jelinek D. F., Aagaard-Tillery K. M., Arendt B. K., Arora T., Tschumper R. C., Westendorf J. J. Differential human multiple myeloma cell line responsiveness to interferon-{alpha}. Analysis of transcription factor activation and interleukin 6 receptor expression. J. Clin. Investig., 99: 447-456, 1997.[Medline]
  45. Avet-Loiseau H., Brigaudeau C., Morineau N., Talmant P., Lai J. L., Daviet A., Li J. Y., Praloran V., Rapp M. J., Harousseau J. L., Facon T., Bataille R. High incidence of cryptic translocations involving the Ig heavy chain gene in multiple myeloma, as shown by fluorescence in situ hybridization. Genes Chromosomes Cancer, 24: 9-15, 1999.[Medline]
  46. Avet-Loiseau H., Li J. Y., Facon T., Brigaudeau C., Morineau N., Maloisel F., Rapp M. J., Talmant P., Trimoreau F., Jaccard A., Harousseau J. L., Bataille R. High incidence of translocations t(11;14)(q13;q32) and t(4;14)(p16;q32). Cancer Res., 58: 5640-5645, 1998.[Abstract/Free Full Text]
  47. Kay N. E., Leong T., Kyle R. A., Greipp P., Billadeau D., Van Ness B., Bone N., Oken M. M. Circulating blood B cells in multiple myeloma: analysis and relationship to circulating clonal cells and clinical parameters in a cohort of patients entered on the Eastern Cooperative Oncology Group phase III E9486 clinical trial. Blood, 90: 340-345, 1997.[Abstract/Free Full Text]



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