Kumar, Shaji

Abstract Background Clinical practice guidelines for MM list many alternative therapeutic options with an equivalent category of evidence but lack recommendations on the best approaches for individual patient cases. To provide clinicians with expert guidance on treatment options for defined patient scenarios, we developed and updated an interactive, online decision aid that allows users to enter specific disease and patient characteristics, enter their planned treatment, and then compare their choice of therapy with those of an MM expert panel for that scenario. Here we report data from the most recent version (2015) of this tool, capturing changes in expert recommendations and treatment trends for MM over time and evaluating the impact of this online tool on clinical care. Methods Each of 3 annual updates to the tool were developed with input from a panel of 5 MM experts. The individual experts provided treatment recommendations for multiple patient scenarios across the settings of induction therapy, maintenance therapy, and therapy for relapsed/refractory MM. A series of pull-down menus allowed users to select individual patient and disease characteristics identified by experts as important to consider when making treatment choices. These characteristics included: eligibility for autologous stem cell transplantation (for induction therapy only), results of chromosome analysis (cytogenetics/FISH), ECOG performance status, risk of renal insufficiency or peripheral neuropathy, previous therapy and depth of response (for maintenance and relapsed/refractory settings), and cardiac or pulmonary dysfunction (for relapsed/refractory setting). Users were then asked to state their intended management approach for that particular patient scenario. Once completed, recommendations for that scenario from each of the experts were displayed, and users were asked to indicate the impact of the expert recommendations on their treatment choice. Results Expert recommendations spanning the continuum of care were compiled in October 2012, November 2013, and March 2015 for the 3 different MM tool updates. As for earlier versions of the MM tool, each of the experts in the 2015 update provided recommendations for 32 case scenarios for induction therapy, for a total of 160 possible induction recommendations. Comparing overall induction therapy recommendations the use of bortezomib/lenalidomide/dexamethasone was approximately 40% in both 2013 and 2015, whereas the use of carfilzomib-containing regimens increased from 5% to 17%. None of the experts chose regimens with melphalan as induction therapy in 2015. In the relapsed/refractory setting, the use of newer therapeutic approaches continued to grow especially in the setting of patients who did not respond to induction therapy or relapsed within 6 months. For example, in those with prior proteasome inhibitor (PI) therapy, the selection of carfilzomib/lenalidomide/dexamethasone by experts rose from 11% to 38% from 2013 to 2015 with pomalidomide and lenalidomide selected for 20% to 25% of cases in the most recent tool. For prior IMiD and PI, the experts selected a new combination of pomalidomide with a PI (either bortezomib or carfilzomib) and dexamethasone in 55% of the case scenarios in 2015. To date, 170 different clinicians sought guidance on more than 259 patient case scenarios using the 2015 decision support tool. In the subset of cases (n = 104) in which users reported how the tool affected their management of patients with MM, 68% indicated the expert recommendations either confirmed or changed their intended treatment (22% changed; 46% confirmed), whereas 17% indicated that there would be barriers to implementing the expert recommendations, and 5% said they disagreed with the experts' recommendations. Conclusions Expert opinions regarding optimal MM therapy continue to evolve with new evidence. Our data show that interactive online therapy decision aids that provide expert recommendations to clinicians for specific case scenarios can aid decision making and capture practice trends in this rapidly evolving environment. Preliminary data suggest that most clinicians using the online decision aid either confirmed or changed their treatment approaches for specific MM patient case scenarios based on expert recommendations. A detailed and updated analysis of expert and user data will be presented. Disclosures Kumar: Janssen: Consultancy, Research Funding; Novartis: Research Funding; Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Skyline: Consultancy, Honoraria; BMS: Consultancy; Sanofi: Consultancy, Research Funding. Lentzsch:BMS: Consultancy; Novartis: Consultancy; Axiom: Honoraria; Janssen: Consultancy; Celgene: Consultancy. Lonial:Novartis: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Roodman:Amgen: Consultancy; Eli Lilly: Research Funding. Mortimer:AstraZeneca: Other: spouse is an employee of and has equity ownership in.

Abstract Background: Patients with AL and congestive heart failure have a median survival of less than one year. Methods: Between 1994 and 2005, 11 patients underwent sequential heart transplant followed by autologous peripheral blood stem cell transplant (SCT) for treatment of AL. Patients had heart dominant AL with minimal/no other organ impairment and no evidence of multiple myeloma. Results: Patients ranged in age from 35 to 63 years (median 54). All had biopsy proven amyloidosis and monoclonal protein detectable in serum (73%) or urine (100%). Free light chain assay was available prior to SCT in 6 and was abnormal in all. All patients presented with NYHA Class III or IV heart failure. All but two patients had no other organ involved at the time of heart transplant. One patient had his heart transplant at another facility and had renal involvement at the time of heart transplant. One patient had peripheral nerve involvement documented prior to heart transplant. Five patients had progression of amyloid to involve other organs by the time of SCT. These included: renal (6), peripheral nerve (2), macroglossia (3), gastrointestinal (2). The median time from diagnosis to heart transplant was 3 months (range 1 to 5). The median time from heart transplant to SCT was 8 months, (range 3 to 24). Conditioning chemotherapy consisted of melphalan 200 mg /m2 (6 patients) or melphalan 140 mg/m2 (5 patients). Two patients died of complications before day +100, (TRM of 18%). Hematologic remissions were seen in 8 and organ responses in 3. Five were unable to be evaluated for organ response due to the heart transplant. Three died from progressive amyloidosis at 66, 56.7, and 55 months following SCT. The median survival is 56.7 months from SCT. Six are alive with a median follow-up of 24 months, range 9 to 90 months. Among the 6 surviving patients, one patient relapsed and one patient has failed to improve, but 4 patients are in continued remission. One patient developed secondary myelodysplastic syndrome. Conclusions: Heart transplant followed by SCT is feasible and offers durable remissions for carefully selected patients with cardiac AL. Figure Figure

Abstract Background: High dose therapy (HDT) and stem cell transplant has been shown to improve survival in patients with myeloma and remains the standard of care. However, the reported results of initial HDT in these patients reflect the combined effect of the initial therapy and the HDT. The contribution of HDT on its own is often difficult to analyze in this group of patients with varying degree of response to initial therapy. In this single institution retrospective study, we have analyzed the results of HDT in a group of patients with measurable disease at the time of HDT. Methods: We identified patients from our transplant database, who had measurable disease at the time of initiation of transplant as defined by a serum M protein of ≥ 1.0 g/dL, 24 hour urine M-protein ≥ 200 mg or a bone marrow plasma cell % of ≥ 30. Details regarding the clinical outcome were obtained from the database and from patient clinical records. Chi square test was used for comparison of nominal variables and t-test for continuous variables. Kaplan Meier analysis was used for comparing survival and Cox proportional hazards was employed to identify predictors of progression free and overall survival. Responses were defined by the EBMTR criteria, using the measurements at the time HDT and the lowest measurement obtained. VGPR required a 90% reduction in the serum M component with urine protein < 100 mg/24 hours. Results: A total of 440 patients were studied; 271 (61.5%) of whom had a transplant within one year of their diagnosis. Among the 271 patients, 140 (52%) were in the initial plateau, 99 (36%) failed to achieve a PR to initial therapy and 32 (12%) were in their first relapse. Given the known differences in the outcome between these groups of patients, those receiving an early transplant were analyzed separately. The response rates included CR (24%), VGPR (7%), PR (52%), MR or less (17%) and among the late transplants CR (23%), VGPR (8%), PR (61%) and MR or less (8%). The median progression free survival was 23.6 mos and the overall survival from HDT was 62 mos. In a multivariate analysis, presence of cytogenetic abnormalities (RR: 2.5) and high plasma cell labeling index (≥ 1%) (RR: 2.4) at HDT and failure to achieve a CR or VGPR (RR: 1.7) were prognostic for decreased progression free survival post HDT. In a similar model, only high PCLI (RR: 2.8) and abnormal cytogenetics (RR: 2.5) at HDT predicted for poor overall survival after transplant. Conclusion: This study provides a sense of the contribution of HDT, independent of the initial therapy, by determining responses based on the immediate pre-transplant disease measurements and the best values observed post transplant. In this group of patients with residual measurable disease after the initial therapy, HDT therapy leads to complete responses in nearly a quarter of the patients and a VGPR in another 7%, an outcome associated with better progressin free survival. While measurements at transplant do not correlate strictly with response to initial therapy, the aim of this study was to understand the individual contribution of HDT in these patients. Thus some of the patients who would have been classified as having a partial response to induction and HDT may be classified as non-responders in this analysis. These numbers will provide a historical comparison for trials evaluating novel consolidation therapies for myeloma.

Abstract Background: Epigallocatechin-3-gallate (EGCG) is a polyphenol extracted from green tea that has been studied for cancer prevention and treatment. Green tea and its extracts have been an integral part of traditional medicines from Asia and are thought to have considerable medicinal value. EGCG has been studied in many tumor types and in vitro studies have been encouraging. It is currently in Phase I/II clinical trial in the treatment of chronic lymphocytic leukemia. Here we examined the activity of EGCG in the setting of myeloma and its potential mechanisms of action. Methods: MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum supplemented with L-Glutamine, penicillin, and streptomycin. The KAS-6/1 cell line was also supplemented with 1 ng/ml IL-6. Cytotoxicity of EGCG was measured using the MTT viability assay. Apoptosis was measured using flow cytometry upon cell staining with Annexin V-FITC and propidium iodide (PI). Fresh myeloma cells were obtained from bone marrow aspirates and subjected to ACK lysis to remove red cells. These cells were cultured in RPMI1640 with or with out EGCG and apoptotic rates were determined by Apo 2.7 expression on gated plasma cells. Flow cytometry was used for determining the phosphorylation state of various signaling proteins. Anti-angiogenic activity of EGCG was measured using a human in vitro angiogenesis kit (Angiokit). Results: EGCG treatment of myeloma cell lines resulted in dose- and time-dependent cytotoxicity to the cells. EGCG was cytotoxic to several myeloma cell lines, including IL-6 dependent cell lines KAS-6/1 and ANBL-6 as well as drug resistant cell lines MM1.R, Dox40 and LR5. The effect was maintained when the cells were grown in co-culture with marrow stromal cells, indicating the ability to overcome microenvironment mediated resistance. EGCG induced apoptosis of myeloma cell lines, apoptotic cells being measured as Annexin (+)/PI (−) cells by flow cytometry. It induced a dose-dependent apoptosis of freshly isolated myeloma cells with increased effect seen on the CD45+ myeloma cells compared to CD45- cells, reflecting increased activity on the proliferative fraction. Down regulation of Akt phosphorylation was seen following treatment of myeloma cells with EGCG. Using the Angiokit, we were able to demonstrate inhibition of tubule formation by EGCG at concentrations lower than those cytotoxic to myeloma cells. It was also able to overcome the angiogenic activity of VEGF. Conclusion: We demonstrate potent anti-myeloma activity of EGCG in vitro. In vivo studies in animal models of myeloma are ongoing. We demonstrate, as in other cell lines, inhibition of Akt pathways as a potential mechanism of action of EGCG. Ongoing studies are exploring other mechanisms. Most importantly, we demonstrate anti-angiogenic activity of this compound in the setting of myeloma, a finding in concordance with the inhibition of VEGF activity seen with other tumor systems.

Abstract Background: The clonal plasma cells in multiple myeloma have relatively low rates of apoptosis. We have previously shown that the apoptotic rates of the plasma cells have prognostic value in these patients. However, several methods are used both for targeting the myeloma cells for study as well as for detection of apoptosis in these cells. It is not clear which method is optimal for studying apoptotic rates of plasma cells from primary patient samples. We examined two different ways of studying the plasma cells, namely CD138 magnetic bead based positive selection of myeloma cells (sorted) and gating on the plasma cells in whole bone marrow (unsorted) using CD38/CD45 expression patterns. Additionally, we compared two different methods of identifying apoptotic plasma cells. Methods: Paired samples processed by two different methods were studied. The bone marrow aspirate samples were initially processed using ACK lysis to remove the red cells. The samples were then studied using flow cytometry (unsorted sample) or subjected to a second step of magnetic bead based separation of myeloma cells based on CD138 expression (sorted sample). Each of the samples was studied using Annexin/PI and Apo 2.7 expression to identify the plasma cells undergoing apoptosis. Plasma cells were identified in the unsorted samples by virtue of their CD38/CD45 expression. Samples were studied at collection and after 48 hours of culture. Results: At collection, the median percentages of cells considered apoptotic by annexin/PI (Annexin pos, PI neg) were higher than that detected by the Apo 2.7 method (Apo 2.7 + cells), for both sorted (6.5% vs. 1.5%) and unsorted cells (26% vs. 10%). However, after 48 hours of culture the percentage of apoptotic cells detected using the Apo 2.7 method were higher than that by Annexin/PI for both sorted (22.5% vs. 14.5%) and unsorted cells (43.5% vs. 10%). When the 48 hr study was compared with the initial study, percent apoptotic cells detected by Apo 2.7 had increased at 48 hrs for both sorted and unsorted cells. However, the percentage of apoptotic cells by annexin/PI had decreased in the unsorted cells at 48 hrs compared to initial study. The sorted samples had an overall increase in apoptosis at 48 hours as measured by annexin/PI. We then looked at the percentage of apoptotic cells detected by either method on initial study and compared the sorted cells and unsorted cells. Using either method, the percentage of apoptotic cells was significantly less (P=0.01; paired t-test) among the sorted cells compared to the unsorted cells. Conclusion: Previous studies have shown that CD138 expression is lost from PCs as they enter apoptosis. Here we show in paired samples that the percentage of apoptotic myeloma cells significantly decreases following CD138 sorting. CD138 sorting should not be used when studying apoptosis of myeloma cells in patient samples. Use of unsorted cells also allows for examination of the effects of interventions on other cell populations as well. When serial studies of apoptosis are done with unsorted samples, we recommend using Apo 2.7 rather than Ann/PI, since the percentage of apoptotic cells by Ann/PI expression actually appear to decrease with time in culture, thus making it difficult to assess effects of intervention such as in drug treatment studies. We hypothesize that this is due to an artificially high level of Annexin positivity at the initial study that might be brought on by non-specific damage of the membranes secondary to cell processing.

Abstract Background: Multiple myeloma (MM) is a plasma cell proliferative disorder that results in considerable morbidity and mortality. As it is incurable with the current therapeutic approaches, more effective therapies based on better understanding of the pathobiology of the disease are needed. In MM, malignant plasma cells are characterized by low proliferative and apoptotic rates compared to other malignancies. The tumor suppressor gene p53, responsible for induction of cellular apoptosis in response to genotoxic stimuli, is relatively intact in most cases of myeloma. However, p53 mutations or deletion can occur late in the course of disease. Here we evaluate a novel small molecule inhibitor of the interaction between p53 and its negative regulator, MDM2, in the setting of myeloma. Methods and Results: Mi-63 was cytotoxic to several different myeloma cell lines with a median effect observed at approximately 2.5 μM in cell lines including MM1.S that express wild type p53 and between 10–15 μM in cells with mutated p53 as measured using an MTT cell viability assay. Additionally, Mi63 induced cytotoxicity in myeloma cell lines resistant to conventional agents such as Melphalan (LR50), Doxorubicin (Dox40) and Dexamethasone (MM1.R), indicating non-overlapping mechanisms. To evaluate the ability of the drug to induce cell death in the tumor microenvironment, MM cells were co-cultured with marrow stromal cells or in the presence of VEGF or IL-6, two cytokines known to be important for myeloma growth and survival. Mi63 was cytotoxic to myeloma cells under these conditions as well, at doses similar to those seen with myeloma cells alone. Mi63 was able to inhibit proliferation and induce apoptosis in myeloma cells in a dose- and time-dependent fashion, as demonstrated by flow cytometry using Annexin/PI staining as well as cell cycle studies. Treatment of myeloma cells with Mi63 was associated with early mitochondrial membrane depolarization, inversion of Bax/Bcl-2 ratio, and down regulation of Mcl-1, indicating induction of mitochondrial mechanisms of cell death. Mi63 was also cytotoxic to freshly isolated primary patient myeloma cells, inducing apoptosis in a dose-dependent manner. In the patient cells the drug appears to have a differential effect on the CD45 positive and negative cells. Conclusion: Mi-63 has significant activity in vitro in the setting of myeloma as demonstrated by its effect on myeloma cell lines and primary patient cells. It clearly induces apoptosis in myeloma cells, with higher activity seen in cells with wild type p53. Given the lack of p53 abnormalities in most of the patients with myeloma, this drug alone or in combination is likely to have significant clinical activity. Studies combining this with various DNA damaging drugs are in progress. These studies will eventually form the framework for future clinical studies.

Abstract Background: An abnormal free light chain (FLC) indicating the presence of excess monoclonal FLC is associated with an increased risk of progression of monoclonal gammopathy of undetermined significance (MGUS) to multiple myeloma (MM) or related disorder. In addition, the risk of progression rises with increasingly abnormal FLC ratio, suggesting that the mechanism for markedly abnormal FLC ratios may be different compared to ratios closer to normal range. We hypothesized that as in light chain MM (in which IgH expression is completely lost), a more markedly abnormal FLC ratio is a marker for IgH translocations (TCs) involving 14q32. We tested this hypothesis using data obtained from gene expression profiling (GEP) to identify the presence of specific IgH TCs and correlating them to serum FLC ratio. Methods: We examined data from 128 GEPs from pts with MM (92), smoldering MM (13), MGUS (9) and primary amyloidosis (14). Presence of IgH translocations were identified using the specific probes for the partner chromosome TC sites, namely FGFR3/MMSET (4p16), cyclin D3 (6p21), cyclin D1 (11q13), c-maf (16q23), and mafB (20q12) as previously described. FLC estimation was carried out on stored serum samples from these patients using the serum FLC assay (FreeliteH, The Binding Site Limited, UK) performed on a Dade-Behring Nephelometer. Based on the established reference range, kappa/lambda FLC ratio <0.26 or >1.65 were defined as abnormal indicating the presence of monoclonal lambda and kappa FLC, respectively. The monoclonal LC isotype was considered the involved FLC isotype, and the opposite LC type as the uninvolved FLC type. Differential expression of genes was examined using Genespring 7.2 software. Results: Among the 92 pts with MM, 36 (42%) had evidence of one of the 5 primary IgH TCs: 20 pts with 11q13 (22%), 7 pts with 4p16 (8%), 4 pts with16q23 (4%), 3 pts with 20q12 (3%), and 2 patients with 6p21 (2%). Among the 11 pts with MM with an FLC ratio of > 1000, 8 (72%) had an IgH TC. The proportion of pts with an FLC ratio >1000 was significantly higher in pts with an IgH TCcompared to those without, 22% vs 5% respectively, P=0.02. The mean FLC ratio was 1728 (range; 1.6 to 31,008) in patients with an IgH TC vs. 412 (1–11340) for those without IgH TCs, P=0.09. Similarly in pts with MGUS, SMM or AL all three pts with a ratio > 50 had evidence of an IgH translocation. compared to 14/33 with lower ratio. The mean FLC ratio was 29 (range;1 to 209) in pts with an IgH TC vs. 9.1 (1–41) for those without IgH TCs, P=0.1. We correlated the results of FISH tests where available (122 of 128 pts) to determine the ability of GEP to identify IgH TCs. IgH translocation identified by the GEP could be detected on FISH in 42 of 47 patients (89%). Correspondingly, 61 of 75 patients (81%) without an IgH translocation on GEP had a similar result by FISH as well. We compared the GEP of MM pts with FLC ratio of >500 to the rest and identified 34 genes which were 2 fold differentially expressed between the two groups. Conclusion: By combining GEP data and serum FLC measurements, we show that very high FLC ratios is associated with IgH translocations. However, the correlation is not absolute, likely reflecting that markedly abnormal FLC ratios may be mediated through other mechanisms including increasing tumor load. To further explore this we analyzed differentially expressed genes between patients with high and low ratios and identified a set of 34 genes, which are currently being studied further.

Abstract Background: Autologous stem cell transplantation (SCT) improves survival in patients (pts) with multiple myeloma (MM). We have previously demonstrated that the degree of response at transplant does not impact on the outcome of transplant. However, newer induction regimens such as thalidomide and dexamethasone (Thal-Dex) result in higher response rates compared to previously used regimens such as single agent dexamethasone or vincristine, doxorubicin, and dexamethasone (VAD). We examined the outcome of SCT following three different induction therapies for newly diagnosed MM, namely VAD, single agent Dex, and Thal-Dex. Patients and Methods: 340 patients with MM who received their SCT within 12 mos of diagnosis (median 5.8, range 3–12) were studied. Patients receiving more than one induction therapy as well as those in whom thalidomide was added to dexamethasone for lack of response were excluded from the analysis. There were 105 pts in the VAD group, 140 in the Dex group and 95 in the Thal-Dex group. Responses were defined using standard criteria. Results: The study cohort consisted of 209 males (59%), with a median age of 57 years (range 30–76) at transplant. Baseline characteristics were similar in the 3 groups, except for lower age in the VAD group (median 55.8) compared to Dex (59.6) and Thal Dex (57.4) and shorter time to transplant in the Dex group (5.4 m) compared to VAD (6.4) and Thal Dex (5.9). Markers of disease activity pre-transplant, including B2M and marrow plasma cell percentage were higher in the Dex group compared to either VAD or Thal Dex. The proportion of patients with any response to induction therapy was lower in the Dex group compared to the other two. All pts in the Dex and the Thal-Dex groups received melphalan only conditioning compared to 70% in the VAD group, the rest receiving Melphalan/TBI. An objective response was achieved after SCT in 96%, 97%, and 98% of pts in the VAD, Dex and Thal-Dex groups respectively (P=0.8). A complete response to SCT was seen in 49% of patients in VAD group, 45% among those in the Dex group and 38% among those in the Thal Dex group (P=0.38). There was no difference in the median progression free survival after transplant (P=0.21) or overall survival from diagnosis (P=.34) between the three groups. The proportion free from progression at 2 years post transplant was 54%, 55% and 46% for Dex, VAD and Thal-Dex respectively. The proportion surviving at 4 years from diagnosis was 64%, 65.4% and 72% respectively for the three groups. Conclusion: We did not observe any difference in the response rates including complete responses to SCT in the three groups with nearly all pts in each group achieving a response. The progression free survival and overall survival appear to be comparable between the three groups. The results from initial therapy cannot be compared between the three regimens since the study population is restricted to patients reaching stem cell transplant. Within the limits of the study, there does not appear to be any long term impact of the initial therapy for the patients going onto an early stem cell transplant. Figure Figure

Abstract Background: Isolation of malignant plasma cells from bone marrow of patients with monoclonal gammopathies is critical for studies into the disease biology. The isolation of plasma cells have generally been performed by positive selection using plasma cell markers such as CD138 or by negative selection by removing other marrow cells using a cocktail of antibodies. We have previously demonstrated differences in apoptotic rates in plasma cells with and without this enrichment step. Here we have examined the effect of CD138 magnetic bead selection on the surface phenotype of plasma cells by flow cytometry. Methods: Bone marrow aspirates from patients with myeloma (n=12) were first washed, and then lysed with ACK to eliminate red cells. The samples were split with a portion of the cells further processed for CD138 selection. ACK lysed only whole bone marrow (WBM) and sorted cells were stained with CD38, CD45, CD56, activation markers CD71 and CD69, adhesion markers CD49d, CD11b, and CD66, B cell markers CD19 and CD20, and clonality (kappa and lambda). Gates were drawn around the plasma cells and plasma cell subsets on the basis of CD38/45 expression for both sorted and unsorted samples. In addition, an aliquot of the sorted preparation was examined by immunohistochemistry to calculate the purity of the sorted sample. Results: Significant differences were observed in terms of the percentage of plasma cells expressing the different antigens when the cells were selected using CD138. This difference included a greater than 10% difference in expression between the two preparations as well as a change from positive to negative in several cases. There was a substantial loss in the expression of CD20, CD71 and CD11b on plasma cells following CD138 based sorting (Table). Among the other markers, CD49d remains unchanged and changes are variable for the other markers. In addition, in 8 of the 12 cases, there was a nearly complete loss of the CD45 positive subset with a loss of discrimination between CD45 negative and CD45 positive plasma cell subsets in the remaining CD138 sorted preparations (figure: unsorted left, sorted right). Conclusion: In conclusion, the process of CD138 sorting of plasma cells appears to change important markers on the plasma cells and may even eliminate a key subset from further analysis. This should be kept in mind when isolating plasma cells using CD138 positive selection for analysis such as gene expression profiling. Consideration should be given to negative selection using antibodies against other cell types to deplete them. Marker Unsorted % Sorted % CD56 74 67 CD69 11 2 CD71 23 8 CD49d 95 92 CD11b 33 4 CD66 5 1 CD20 16 6 Figure Figure

INTRODUCTION The use of growth factors filgrastim and sargramostim are associated with often dramatic degrees of fluid retention in patients with amyloidosis who have coexistent cardiac involvement or nephrotic syndrome. Significant degrees of fluid retention can complicate the post transplant management of patients with AL receiving high dose chemotherapy. We report outcomes in a cohort of amyloidosis patients who received no growth factor support post transplant. PATIENTS AND METHODS 283 consecutive patients seen for stem cell transplant are included in this cohort. In order to be considered evaluable for engraftment the patient must have survived for 30 days or was excluded from analysis. All patients had biopsy verified AL. Patients also had to have visceral organ dysfunction in order to be eligible for stem cell transplant with a minimum of one visceral organ involved. RESULTS Among 283 patients transplanted, 244 were evaluable for engraftment. There were 145 men (59%). Renal involvement was present in 163 (67%), cardiac involvement by echocardiography in 47%, hepatic involvement in 16%, and peripheral nerve involvement in 11%. The median age was 56.6 years (range 33–73). The median time from diagnosis of amyloidosis to stem cell transplantation was 4.2 months. A neutrophil count of 500/uL was achieved in 50%, 75%, and 90% of the total group at 14, 16, and 22 days respectively (figure 1). A platelet count of 20,000/uL was achieved in 50%, 75%, and 90% of patients at 14, 19, and 28 days respectively (figure 2). A platelet count of 50,000/uL was achieved in 50%, 75%, and 90% of patients at 18, 28, and 52 days respectively. The median time spent in the hospital for the entire cohort 9 days. 46 of the patients (19%) completed the entire procedure as an outpatient. 75% of patients were discharged within 18 days and 90% were discharged within 32 days. 137 patients were blood culture negative throughout the entire procedure (56%). A blood culture was positive in the remaining 107 patients. 68 of these 107 contained a culture for Staph. coagulase negative. 39 (16%) had bacteremia associated with other organisms. CONCLUSION Transplantation of patients with amyloidosis without using growth factor is feasible. The median time to achieve neutrophil and platelet counts of 500 and 20,000/uL respectively is 14 days. It is reasonable to withhold growth factor from AL patients undergoing stem cell transplantation. Figure Figure Figure Figure