Abstract Background: Plasma cell leukemia (PCL) is a rare plasma cell (PC) dyscrasia which may be designated as primary (PPCL) or de novo PCL when recognized at the time of diagnosis and secondary (SPCL) when there is leukemic transformation of a previously recognized multiple myeloma (MM). PCL has been reported to exhibit distinct clinical and immunophenotypic features that distinguish it from MM, but little is known about the specific genetics of this disease. To better understand the genetic features of the clonal PC from PPCL and SCPL we assessed in these patients the molecular and cytogenetic abnormalities most commonly found in MM. Patients and Methods: In our study we analyzed 3 groups of patients; 18 with PPCL, 23 with SPCL and a control group of 345 newly diagnosed MM previously published. Diagnostic criteria for PCL followed the presence of >2 x103/L PC in PB (Kyle et al. Arch Intern Med1974; 133–813–8). Cytogenetic abnormalities were assessed by the c-Ig FISH method; mutational analysis was performed using Conformational-sensitive gel electrophoresis (CSGE). Methylation was analyzed by methyl specific PCR (MSP) after bisulfite genomic DNA modification. Results: Translocation of immunoglobulin heavy chain with Cyclin D1 (t (11; 14)) was present in 76.9% (10 of 13) of PPCL, 71% (5 of 7) of SPCL, in contrast to 15.8% (53 of 336) of MM cases. Translocations’ involving the FGFR3-MMSET genes (4p16.3 locus) and c-MAF (16q32) genes were not observed among 10 patients studied with PPCL, but were present in 12.7 % each in SPCL. The t (4;14)(p16;q32) was present in 12.7% cases of MM and the t(14;16)(q32;q23) was present in 4.6 % of MM cases. Deletion of 17p13.1 (p53 locus) was found in 10% (37 of 345) of MM cases, 53.8% (7 of 13) for PPCL and 42.8% (3 of 7) for SPCL. Deletion of 13q was present in 54.2% (176 of 325) of MM, 76.9 % (10 of 13) of PPCL and 57.1% of SPCL. Ras mutations were found in 15% (2/13) of PPCL, located in codon 1 and 2 of the K-ras gene. In addition, 23% for SPCL presented mutations in the N-ras gene. Two mutations were located in codon 2 of N-ras and 1 patients in showed a mutation in codon 1 of K-ras gene. Ras mutations were present in 27% of MM cases. Mutations for p53 gene were present in 30.7% (4/13) of PPCL, 17% (3/17) for SPCL and 5% for MM. Methylation specific PCR for p16 gene was found in 23% (3/13) of PPCL, 29% of SPCL and 33.9% (149/439) of MM. Hypermethylation of p14 was not detected in PPCL but a 23 % was found in SPCL. Conclusions: In this study we demonstrate that PCs from PPCL more frequently carry the t (11; 14). Comparing SPCL and MM, PC’s from de novo PPCL do not show t (4; 14) or (16; 14). Deletion of 13q was more prevalent among patients with PPCL. Ras mutations appear to be as frequent in MM as in PPCL and SPCL. Mutations in p53 appeared to be more prevalent in PPCL than in SPCL and MM. Hypermethylation of p16 does not differ while hypermethylation of p14 is more frequent in SPCL than PPCL. These characteristics may lead to a different onset or disease evolution of PPCL compared to MM and secondary plasma cell leukemia and this may be important for diagnostic and treatment.
Cancer/Testis Antigen Profiling in Multiple Myeloma Define a Cohort of Patients with Poor Prognosis Regardless of Genetic Subtypes.
Abstract Cancer/testis antigens (CTAs), comprising the MAGE, CTAG, SSX and GAGE families, are expressed in different tumor types and restricted in normal tissues to germ cells of the testis. Many CTAs contain epitopes recognized by cytotoxic T cells and are potential targets for active immunotherapy. In MM, different CTAs have been shown to be expressed in cell lines and patient cells, and are associated with more proliferative and advance stage tumors. However, correlation with survival has never been reported. We undertook a global survey of CTA expression using gene expression profiling of CD138-enriched plasma-cell (PC) RNA in 15 normal, 101 MM, 22 MGUS and 24 SMM samples using the Affymetrix U133A chip (Affymetrix, Santa Clara, CA). 22 CTA genes were differentially expressed across the samples and unsupervised clustering using these genes clearly identifies a group of patients with high CTA expression. Most CTAs have significantly higher expression in MM as compared to SMM and especially MGUS, which has similar expression as normal PCs. As these antigens are not expressed in normal PCs, an upper limit of normal expression (ULN) was derived based on mean+3SD of expression in normal PCs for each CTA. A strict cut-off of normalized expression value greater than 2xULN was used to assign positive expression for each CTA genes. Using this method, the most commonly expressed CTAs are MAGE-A3 (73% of MM), MAGE-C1 (45%), MAGE-A6 (35%), SSX-1 (21%), GAGE-5 (18%) and NY-ESO-1 (14%). We then assigned patients with expression of more than 2 of these genes as having a CTA signature and correlated with clinical parameters. 45 patents (41 MM and 4 SMM) have the CTA signature. These patients have a significantly higher PCLI (median 0.2 v 0.7, p=0.0003). In fact, there is a significant correlation between the number of positive CTAs and PCLI (r=0.59, p<0.0001). Interestingly, there is no association between patients with a CTA signature and any of the recurrent genetic abnormalities (IgH translocations, chromosome 13 deletion and TC classes), yet MM patients with this signature have a significantly shorter survival (median 459 days vs not reached, log-rank p=0.017). A prognostic hierarchy exists amongst these CTAs. Only MAGE-A6, MAGE-A12, SSX-1 and SSX-5 expression has significant prognostic implications with the SSX family conferring the worse prognosis. Using a restricted panel of 3 CTAs (SSX-1, -5 and MAGE-A12), about 28% of MM patients expressing one or more of these genes can be identified with poor survival (median less than 1 year) that is independent of genetic subtypes. The genes differentially expressed between patients with and without the CTA signature are mainly involved in cell cycle regulation. Since the expression of this large set of CTAs appears to be under epigenetic control, we speculate that the same epigenetic processes that lead to dysregulation of the cell cycle also cause ectopic expression of CTA genes. As CTA expression is rare in MGUS, epigenetic processes may therefore also mediate transformation from MGUS to MM. These poor prognosis patients represent good candidates for novel therapies targeting the epigenetic machinery.
Gene Expression Profiling Identifies 4 Sub-Classes with Distinct Clinical Associations in Hyperdiploid Myeloma.
Abstract Hyperdiploid myeloma (H-MM) affects about 50% of MM. These patients exhibit significant karyotypic and clinical heterogeneity. In this study, we addressed possible biological heterogeneity within H-MM by gene expression profiling of CD138-enriched plasma-cell RNA from 53 H-MM patients using the Affymetrix U133A chip (Affymetrix, Santa Clara, CA). Analysis was performed using GeneSpring 7 (Agilent Technologies, Palo Alto, CA). Unsupervised hierarchical clustering performed using the top 100 most variable genes (generated by ANOVA) identifies 4 putative patient clusters. These clusters were reproduced using principal component analysis. Cluster 1 was characterized by high expression of a large group of cancer testis antigens and mitosis/proliferation related genes (TOP2A, NEK, ASPM, CENPA). Cluster 2 was characterized by high expression of genes involved in IL-6 and HGF signaling (MET, IL6R, SOCS3, SPINT1). Cluster 3 was characterized by high expression of genes involved in TNF/NF-KB signaling and anti-apoptosis (NFKB2, CFLAR, BIRC3, TNFAIP3, RRAS2). Cluster 4 was characterized by high expression of genes involve in angiogenesis (protocadherin, EDNRB). Unsupervised hierarchical clustering using the same set of genes in an independent cohort of H-MM patients (n=60) yielded the same 4 patient clusters over-expressing similar genes. The gene expression profile of these clusters were not driven by differences in trisomies (only about 25% of genes that define the clusters were located on the commonly trisomic chromosomes). Association between the 4 clusters and clinical parameters such as survival, chromosome 13 deletion (Δ13), presence of IgH translocations, PCLI, RAS mutation and p16 methylation was analyzed. Cluster 1 tumors were more proliferative (median PCLI 3.8, p<0.05). Cluster 2 was associated with presence of Δ13 (56%, p<0.05) although none of the genes that defined this cluster falls on chromosome 13. p16 methylation was also less common in cluster 2 (13%, p=0.06). Cluster 3 was associated with low PCLI (median 0.2, P<0.05). Most of the patients with p16 methylation also belonged to this cluster (67%, p=0.06). There was a complete absence of Δ13 in Cluster 4. Patients in the 4 clusters also had significantly different survival (log-rank p=0.002.). The difference in survival was independent of Δ13 since Δ13 has no impact on survival in this patient cohort. The molecular profiles of these subclasses may explain some of these associations. CTA expression is associated with proliferative tumors with poor prognosis. IL-6 is an important survival factor and HGF signaling has been associated with poor survival in MM which may explain the relative poor prognosis of this group. Cluster 3 may have better survival as it is associated with an anti-apoptotic signature rather than proliferative signature. In summary, gene expression profiling identified 4 sub-classes within H-MM (validated on an independent dataset and using different clustering techniques) with distinct clinical and biological associations. The gene signature associated with each sub-classes provide a molecular basis for the different clinical behaviour and further insights into deregulated pathways in H-MM.
Functional Analysis of p53 in the JMW Myeloma Cell Line.
Abstract Background: The inactivation of p53 by deletion of 17p13 is observed in 10% of multiple myeloma patients and is associated with shorter survival. In this study we were interested in assessing p53 function in the JMW myeloma cell line established from a patient with aggressive disease and circulating plasma cells. We characterized the plasma cells derived from the patient with the disease from the initial stage of procurement ofpatient tumor cells to permanence as a cell line. Results: At diagnosis, 95% of the cells had monosomy 17 and 4% of the cells had a FISH pattern consistent with interstitial deletion of p53 (17p13). However, we observed clonal evolution in that at 3 months from diagnosis, 70% of the patient cells exhibited a deletion of the p53 locus while 28% of the cells had a monosomy 17. This may be attributed to favored clonal expansion of the cells with the deletion of p53 (17p13). To resolve this issue we performed further interphase and metaphase FISH and found an unbalanced complex translocation resulting in LOH of 13q and 17p (der13 t(13;17)(q?;p?). In addition, we screened the remaining p53 gene for mutations by conformation-sensitive gel electrophoresis (CSGE). PCR fragments showing abnormal CSGE-banding patterns (in exons 5 and 8) were further characterized by DNA sequence analysis and we identified a G to A splice site mutation generating an alternate splice site 21 bp into exon 5. This mutation results in a mutant protein lacking amino acids 126–132 in the DNA binding domain of p53. We observed no differences in the expression level of p53 mRNA as determined by RT-PCR analysis. We determined the effect of the deletion on p53 protein expression and function. We examined the effect of DNA damage induced by UV radiation on p53 protein levels in JMW cells, using the myeloma cell line H929 (expressing wildtype p53) as a positive control for expression. The JMW cells were exposed to UV radiation (20 J/m2) and the cells were harvested for western blot analysis 5 hours after UV damage. An increase in the level of p53 protein was observed in JMW as well as the H929 cells following UV treatment. We then investigated the activation of p53 downstream targets. The CDK inhibitor p21WAF1/CIP1 is a well-characterized p53 target that mediates G1 cell cycle arrest. Thus, we examined the levels of p21 protein following UV treatment of JMW and H929 cells. Strikingly, JMW cells lacked p21 expression in untreated cells as well as UV exposed cells suggesting that the characterized deletion in the DNA binding domain is an inactivating mutation. Conclusion: Abrogation of p53 function was observed in the JMW cells. Further analysis of the p53 pathway in JMW and other myeloma cell lines will provide an in depth understanding of the role of p53 in disease progression. The study of the p53 pathway in myeloma is highly relevant, as we have shown it to be associated with relapsing and aggressive disease, particularly with extramedullary myeloma. Our studies suggest that malignant plasma cells have the ability to survive outside of the bone marrow microenvironment but a p53 dependent checkpoint results in cell death. In clones with p53 defects the cells survive and result in extramedullary disease, including plasma cell leukemia.
A Phase II Study of PS-341 for Patients with High Risk, Newly Diagnosed Multiple Myeloma: A Trial of the Eastern Cooperative Oncology Group (E2A02).
Abstract Background: Multiple myeloma (MM) is an incurable disease with a anticipated overall survival (OS) ranging from months to decades. Modest improvements in OS have been made with high-dose chemotherapy with peripheral blood stem cell transplant (PBSCT), but to date prognostic factors have a greater impact on OS than do individual therapies. Patients with adverse risk factors such as elevated beta-2 microglobulin (B2M), plasma cell labeling index, deletions of the long arm of chromosome 13 by metaphase cytogenetics (del 13q) require innovative new treatment strategies. Bortezomib has significant activity in patients with both newly diagnosed and relapsed/refractory MM, but its specific role in patients with adverse features has not yet been defined. Methods: Patients with newly diagnosed “high-risk” myeloma (B2M ≥ 5.5., PCLI ≥ 1, or del 13q) and adequate organ and functional status were eligible. Patients were treated with bortezomib 1.3 mg/m2 day 1, 4, 8, and 11 every 21 days for 8 cycles as induction. After induction, patients were scheduled to receive bortezomib 1.3 mg/m2 every other week indefinitely. Elective peripheral stem cell mobilization (growth factor alone) was allowed after 4 cycles of bortezomib. Patients relapsing on maintenance schedule were to have the full induction schedule resumed. Responses were by the EBMT criteria but a very good partial response category was included. The primary end-point was the response rate in these high-risk patients (90% power to detect a response rate of 50% or higher). The study decision rule requires that 16 or more responses, among 39 eligible patients, are seen in order to declare this treatment effective. Results: Between March 15, 2004 and March 10, 2005, 44 patients enrolled on study. Among the 43 eligible patients, median age was 63; 51% were male. All patients had high risk disease: del 13q (6/41); plasma cell labeling index ≥1% (16/34); and B2M≥5.5 (34/43). Preliminary response data are available for 18 of the 44 cases enrolled, of which 7 had partial response, 1 had minimal response, 1 had no response, 2 had progressive disease, and 5 were unevaluable. Among those patients completing induction therapy and with response information, the median number of cycles of therapy administered is 5, range (0,8). The most common non-hematologic adverse events (AEs) of grade 3 or higher included hyponatremia (9 patients) and diarrhea (6 patients). Mild sensory peripheral neuropathy was common: grade 1, 16 patients; grade 2, 2 patients. Only 1 patient had grade 3 peripheral neuropathy. One patient died after receiving 2 doses bortezomib due to heart block and asystole. Two patients had a grade 4, 25 patients had grade 3, and 13 had grade 1 or 2 as the worst grade non-hematologic adverse event. Based on data received by August 1, 2005, 18 patients have gone off study: AEs (2); death (1); progressive disease (9); and other reasons (6). Updated results on the full study population along with FISH data for IgH translocations and deletions of 13q and 17p will be presented at the meeting. Conclusions: Preliminary results suggest that upfront bortezomib has activity in patients with high-risk MM, but further follow-up is required.
Genomic Analysis of High Hyperdiploid Acute Lymphoblastic Leukemia and Hyperdiploid Multiple Myeloma Suggests Differential Gene Dosage Effect on Expression and Provide Clues to Preferential Selection of Recurrently Trisomic Chromosomes.
Abstract Hyperdiploid (>48 chromosomes) multiple myeloma (H-MM) and high hyperdiploid (>50 chromosomes) acute lymphoblastic leukemia (H-ALL) are characterized by aneuploidy and multiple recurrent trisomies (chromosome 3,5,7,9,11,15,19 for H-MM and chromosomes X,4,6,10,14,17,18,21 for H-ALL). Little is known about the oncogenic events, consequences of the trisomies and reasons for the different recurrent trisomies. In an attempt to answer these questions, we undertook a combined gene expression and network/pathway analysis approach. Gene expression data was generated using the Affymetrix U133A chip (Affymetrix, Santa Clara, Ca) for 53 H-MM and 37 non-hyperdiploid MM (NH-MM) cases using CD138-enriched plasma-cell RNA. Gene expression data using the same chip for ALL was obtained from previous published data (Ross ME et al Blood2004; 104: 3679–3687). Analysis was performed using Genespring 7 (Agilent Technologies, Palo Alto, CA). By comparing the median expression of all genes on each chromosome between H-MM/H-ALL and their non-hyperdiploid counterparts (NH-MM and NH-ALL) for the 23 chromosomes (excluding Y), one can clearly identify the commonly trisomic chromosomes in H-ALL and H-MM. However, the relationship of gene expression was highly variable for H-MM and NH-MM as compared to H-ALL and NH-ALL which tended to have expression ratios close to 1 for the non-trisomic chromosomes. Sixty-nine percent of the differentially expressed genes generated by ANOVA analysis (p<0.001) in H-ALL were on the commonly trisomic chromosomes and were upregulated whereas the corresponding figure in H-MM is 40%. These similarities and differences probably reflect both an overall gene dosage effect and the different complexities of the karyotypes of H-MM and H-ALL compared to NH-MM and NH-ALL respectively (MM karyotypes are more complex, hence difference between H and NH-MM is greater and less confined to the trisomic chromosomes). We next performed network analysis using a curated web-based software (MetaCore, GeneGo Inc, St Joseph, MI) using the 2 sets of differentially expressed genes. Majority of genes differentially expressed in H-MM are involved in mRNA translation/protein synthesis whereas the genes differentially expressed in H-ALL were mainly involved in signal transduction. Therefore the transcriptional program that characterize the difference between H and NH-MM/ALL seem to recapitulate normal cellular function: protein synthesis in the mature secretory plasma cells and signal transduction in response to cytokines in a differentiating early-B cell. However, due to the concurrent deregulation of many genes on these trisomic chromosomes, these and other cellular programs are deregulated resulting in malignant transformation. We also intersected the 2 lists of differentially expressed genes to find genes that are up- or downregulated in both H-MM and H-ALL relative to the NH tumors. Thirteen genes including interferon response genes (TNFSF10, MX1, ZNF185) and transcription factors like RUNX1 were upregulated, whereas 13 genes including a cancer testis antigen gene (MAGED4) were downregulated in both H-MM and H-ALL. These genes may point to common oncogenic mechanisms.
A Local Versus Centralized Processing Comparison of Plasma Cell Isolation, Viability, and RNA Integrity.
Abstract Introduction: The Multiple Myeloma Research Consortium (MMRC) has established a tissue bank for the deposition of bone marrow (BM) samples from patients with multiple myeloma (MM) to be mailed and processed under good laboratory practices (GLP). To date over 300 samples have been collected. The ability for multiple sites to utilize the same GLP protocols for isolation and storage of BM for batch testing can be cost prohibitive and can introduce derived variability. Currently, limited information is available on shipped BM aspirates in regards to cell viability, cell yield, cell purity, and subsequent RNA yield and quality. Materials and methods: To test these determinants we performed a pilot study on behalf of the MMRC where samples were drawn at Mayo Clinic Rochester (MCR) pooled and split into 2 equal aliquots. One-half of each sample was processed following the provided GLP compliant standard operating procedures (SOP’s), immediately after sample procurement, at MCR. The CD138+ cells were stored in TRIZOLTM and the RNA was isolated and analyzed in a single batch. The other half of the aspirate was sent overnight to Mayo Clinic Scottsdale (MCS) where they were processed using an identical protocol. At both locations samples were tested for the following quality determinants; cell yield, RNA yield and integrity, and viability using a 3 color flow cytometric method (CD45, CD38 and 7ADD). Cell counts were performed on the CD138+ fraction to determine plasma cell recovery and a slide based immunofluorescent assay used to determine purity. RNA recovery and integrity were assessed using the Agilent BioanalyzerTM. Lastly, gene expression profiles was compared to determine the “signature” emanating from the shipment of samples. Results: In aggregate, all quality determinants showed similar values when the two sets of samples were compared. Cell viability was similar in both sets of samples as was our ability to collect a highly enriched plasma cell population. The cell yield was very similar (r2=0.52) but slightly lower in the shipped samples (median 71% of locally processed, range 40–140%), probably due to some shipment-associated apoptosis with subsequent loss of cell surface CD138 antigen. The purity of the shipped samples was very similar to that of locally processed (median 94%). Subjective qualitative analysis of the RNA was similar between both groups (shipped yield being 80% of local) with no evidence of degradation in the shipped samples. Details regarding the shipment signatures using gene expression profiling will be presented at the meeting. Conclusion: Here we show that the shipment of samples is feasible with no appreciable loss in cell yield or quality of derived products. % APOPTOTIC+ DEAD PC YIELD PURITY (%) RNA Recovered MCR MCS MCR MCS MCR MCS MCR MCS 8.9 ND 15.2 6.8 93 90 11.4 12.8 6.2 ND 2 2.8 95 99 8 17.2 17.4 8 1.4 1.4 75 88 2.2 0 2.1 18.7 2.8 1.6 96 68 7.2 2 18.1 9.5 1.2 .8 100 94 3.4 .4 5 5.0 8.5 7.2 98 91 12.6 17.8 3.7 5.1 .4 .4 88 87 ND ND 19.5 10.3 1.6 1.2 88 79 .4 3.6 29.1 ND 9.2 1.2 100 56 30.2 1.4 5.6 ND 9.2 7.6 92 88 5.2 16.8 20.3 62.8 2.4 .8 84 61 4.6 0.2 4.6 3.7 10.4 2.4 100 94 29.4 8.4 26.5 13.5 5.8 2.8 ND 97 16.8 5.8 4.5 6.2 2.2 2 100 99 10 4.4 17.5 ND 19.2 12 ND ND 16.4 14
One Half of Patients with Waldenström Macroglobulinemia Have Large Deletions of Chromosome 6q.
Abstract Background: Waldenström macroglobulinemia (WM) is a plasma cell dyscrasia characterized by a monoclonal IgM paraproteinemia. The most common genomic abnormality in the clonal cells of WM is loss of portions of the long arm of chromosome 6 (6q-), however a minimal area of deletion has yet to be identified. We decided to further clarify the area of deletion on the 6q-arm in WM along with its prevalence. Methods: Patients (n=41) were required to have a serum IgM paraproteinemia of 1.5 g/dl or greater and a monoclonal lymphoplasmacytic infiltrate. We used interphase fluorescence in situ hybridization (FISH) combined with cytoplasmic immunoglobulin (cIg) staining with an AMCA conjugated anti-IgM antibody along with cytomorphology for the detection of the clonal cells on cytospin slides. Ten probes were used including two commercial (CEP 6 and Telomere 6q) and eight Bacteria Artificial Chromosome (BAC). BAC clones were selected based on a specific gene encompassed in the insert and/or localization on the q arm. Genes of interest included BLIMP1, c-myb, BTF, SHPRH, LATS1 and FOP. BAC’s were grown in selective media; DNA was extracted and directly labeled with a SpectrumGreen or SpectrumOrange fluorophore by standard nick translation. Primers were designed to confirm the insert contained the gene of interest and probes were tested on normal metaphases to reaffirm localization to the correct area of the chromosome and rule out any cross hybridization. Results: Deletions of 6q were noted in 21 (51%) patients. Of the 19 abnormal patients with all probes tested 1 (5%) case had ten probes deleted, 7 (37%) cases had nine probes, 1 (5%) had eight, 4 (21%) had seven, 3 (16%) had six and 3 (16%) had four probes deleted. Only 3 cases retained the end of the q arm indicating an interstitial deletion while the remaining 16 cases indicate terminal deletions. Deletions of the BAC containing the gene SHPRH at 6q24 were seen in each of the 19 abnormal cases. The majority of patients exhibited little heterogeneity for any given deletion having greater than 80% involvement of the clone. Conclusion: This study demonstrates that large deletions of the long arm of chromosome 6 in WM are frequent and are usually terminal deletions rather than interstitial and have a common area of deletion of the q24 portion of the q arm. Using the given number of probes localizing along the q arm makes it highly unlikely of any areas of noncontiguous deletion. The presence of deletions in the majority of the clonal cells may suggest that clones with 6q- emerge early in the course of the disease and is selected because of growth advantage or apoptosis resistance. Whether 6q deletions are important for disease pathogenesis has yet to be determined. Clinical prognosis studies and microarray data analysis are pending.
Multiple Myeloma (MM) in Young Patients (pts): Clinical Features and Outcome in 259 Patients Younger Than 40 Years in Comparison to 8,296 pts Aged ≥ 40 Years.
Abstract MM has a median age at presentation of 65–68 years, rarely occurring in pts before age 40. Here, we present clinical, laboratory and survival data in the largest ever-analyzed cohort of young pts compared with pts aged ≥ 40 years. 259 pts aged < 40 and 8,296 aged ≥ 40 years were enrolled. These 8.555 pts were part of the cohort analyzed for the ISS staging project. Previously untreated pts entered into randomized trials with standard (SDT) or high dose treatment (HDT). Clinical data were available for all pts, 526 pts had karyotypic analysis and 454 pts testing for Del 13 testing by FISH. The Chi-Square test was used to identify significant prognostic factors. A maximum likelihood model was used to estimate relative excess risk (RER) for younger versus older pts treated with SDT or HDT. Observed survival was adjusted by life expectancy depending on age, gender, and nationality. Young pts had significantly lower ISS stage I than older pts (stage I; 39% vs. 28%, stage II: 28 vs. 39%, stage III 33% vs. 33%, p<. 001, p<001, p=0.863, respectively) due primarily to a lower prevalence of high ß2m levels and low albumin levels in the younger age group. Paradoxically, the younger pts more frequently presented with higher M-component levels and Durie Salmon stage III (65% vs. 54%, p<0.001). Prevalence of other important prognostic parameters like Hb, platelet count, creatinine, calcium, CRP, LDH and bone marrow PC infiltration was similar in both groups. Younger pts had more frequently good ECOG performance status (PS) (0–2), (87% vs. 81%, p<0.01). Karyotypic abnormalities and Del 13 were similarly distributed between both cohorts. Median OS was significantly longer in young pts (median: 4.8 years vs. 3.7 years; hazard ratio (HR): 1.46; 95%, CI (1.27, 1.68); p=<0.001). Better outcome in the younger cohort was seen in all three ISS stages, independent of gender. Median OS survival was significantly longer after SDT in the young cohort (median: 49 months (mos) vs. 39 mos; HR 1.49; CI (1.27, 1.75); p<0.001). Median survival: 86 mos in young and 68 mos in older pts on HDT; this did not translate into a statistical difference (HR 1.8; CI (0.81,1.44); p=0.6). Risk estimates in a maximum likelihood analysis revealed that, apart from ISS Stage, young age followed by female sex was statistical significant for a good outcome for pts treated with SDT (Age RER: 1.43, CI (1.20, 1.70), p<0.001; Sex RER: 1.07, CI (1.02, 1.14); p < 0.013). For pts treated with HDT, only ISS Stage was found to be a risk factor, but not age or gender. Conclusions: Patients < 40 have better prognosis and survival than older patients. The most important features of young patients are low SßM, normal S. Alb, and good performance status.
Myeloma with t(11;14) and CD20+ Plasma Cells: Response to Rituximab.
Abstract Background: Multiple myeloma (MM) is a plasma cell malignancy involving complex cytogenetic dysregulation of genes and heterogeneous expression of multiple B cell and plasma cell (PC) surface antigens. 60% of MM patients have cytogenetic translocations of the IGH locus. In 16% of myeloma patients, the partner oncogene is cyclin D1 on 11q13 causing t(11;14)(q13;q32) (Fonseca et al. Blood. 2002). This translocation is more common in patients with a lymphoplasmacytic morphology and confers a more favorable prognosis (Fonseca et al. Blood. 2003). A subset of MM patients (20%) harbor a clonotypic population of CD20+ bone marrow plasma cells (BMPC). These patients have a shortened survival time (SanMiguel et al. Br J Haematol. 1991). There is a strong association with CD20+ surface expression and t(11;14)(Robillard et al. Blood. 2003) and CD20+ PC has been suggested to be clonogenic and important in the pathogenesis of MM. A small Phase II study showed only a modest response to the humanized anti-CD20 monoclonal antibody rituximab in MM patients with CD20+PC (1 PR and 5SD) (Treon et al. J. Immunother. 2002). We report a response to treatment with rituximab in a MM patient with CD20+ BMPC and t(11;14)(q13;q32) by FISH. Case: The patient is a 68 year old male with a 1.5 year history of MM. Initial diagnosis of ISS stage I disease was made after a three year history of IgA kappa monoclonal gammopathy of undetermined significance (MGUS). At diagnosis of MM, he had symptomatic anemia Hgb10.5g/dL, rising serum IgA of 3950 mg/dL, serum m-spike of 4.1 g/dL (IgA kappa), PCLI (plasma cell labeling index) of 1%, and a small monoclonal IgA kappa with kappa fragment in the urine. BM showed 44% monoclonal kappa plasma cells with 90% CD20+,clonal PC on flow cytometry. Karyotype was normal; 46, XY, but FISH showed evidence of an IGH translocation t(11;14)(q13;q32) in 60% of PC. Immunohistochemical staining was positive for cyclin D1. Given the marked elevation of CD20+ PC and early stage of disease, initial treatment was employed with four weekly cycles of rituximab (375mg/m2). IgA fell from 4750 mg/dL to a nadir of 2990 mg/dL, (m-spike; 4.5g/dL to 3.2 g/dL) five weeks after completion of treatment. The monoclonal protein (MP) in the urine disappeared. Hgb improved to 12.5g, with erythropoietin. Three months later, IgA rose to 3260mg/dL (m-spike 3.2 g/dL) and urinary MP returned. The patient remained asymptomatic. A second course of weekly rituximab was started. IgA level and serum m-spike remained fairly stable over the next 7 months. All treatment was tolerated well except for initial transient rigors, fever, and nausea. Despite bi-monthly maintenance rituximab, the patient devloped a rising IgA of 4940 mg/dL, m-spike of 4.7, falling Hgb and a rising PCLI of 1.5%, 15 months after his original diagnosis of MM. Of particular concern is the development of new, unfavorable, cytogenetic aberrations by FISH with BMPC now showing deletion 13 in 93% and mutation of p53 (17p13) in 98%.100% show fusion of CCND1 and IGH and PC now only partially express CD20. Conclusion: This report suggests that MM patients with CD20+ BMPC and t(11;14)(q13;q32) may represent a target population for anti-CD20 therapy. Our report supports the concept proposed that targeting this clonotypic subset of B cells possibly interrupts a critical oncogenic pathway that is important in the pathogenesis of the clonogenic development of MM.