Abstract Amyloidosis is a group of hereditary and acquired disorders of diverse pathogenesis united by end organ damage due to tissue deposition of misfolded proteins. The diagnosis is typically based on demonstrating Congo red positive amyloid deposits in tissue biopsies of clinically involved sites. Because treatment options for amyloidosis patients are highly varied and intricately tied to the identity of the protein that constitutes the amyloid deposits, adequate diagnostic evaluation now requires identification of the amyloidogenic protein. Traditionally, immunohistochemistry with antibodies to amyloid-associated proteins was the clinical technique of choice for subtyping amyloid deposits in tissue sections. This technique suffers from poor analytical sensitivity and specificity and is a suboptimal technique on which to base treatment decisions for amyloidosis patients. We developed a highly accurate and reproducible liquid chromatography electrospray tandem mass spectrometery (LC-MS/MS)-based shotgun proteomics assay for subtyping amyloid deposits (Blood. 2009; 114: 4957-9) from microdissected paraffin embedded tissue samples. Implementation of this assay in a CAP/CLIA clinical laboratory has subsequently transformed the standard of amyloidosis care at Mayo Clinic. Since 2008, we utilized the assay in routine practice to identify 20 different amyloid types in tissue samples from diverse anatomic sites from 4139 patients (Table 1). Although AL and ATTR were most common, the cases include a large variety of unusual, and in many cases clinically unsuspected amyloid types. In addition, the amyloid protein subtypes had different frequencies in different anatomic sites (A partial list of tissue sites and their amyloid types analyzed in this study includes: bone marrow: AL 82%, ATTR 15%, AA 2%, other 1%; kidney: AL 51%, ALect2 18%, AA 17%, AH 5%, AFib 4%, other 5%; liver: AL 64%, ALect2 23%, AApoA1 6%, AA 3%, ATTR 2%, other 2%; heart: ATTR 60%, AL 37%, AANF1%, other 2%; GI tract: AL 78%, ATTR 13%, AA 6% AApoA4 1%, other 2%; eye [primarily adnexae] AL 63%; eye [primarily cornea] TGFB induced protein ig-h3 34%, other 3%). One caveat is that these distributions of amyloid types may not accurately reflect population prevalence. More likely, the findings reflected a composite prevalence that included challenging amyloidosis cases.Table 1Frequency of amyloid subtypes observed in the Mayo Amyloid Cohort (n=4139). Asterisk denotes non-canonical subtypesAmyloid SubtypeNumber (%) of casesAL2553 (61.68)ATTR1015 (24.52)AA151 (3.65)ALect2148 (3.58)AIns48 (1.09)Keratin*36 (0.87)AApoA130 (0.72)AH27 (0.65)AFib26 (0.63)TGFB1-IP*22 (0.53)AApoA420 (0.48)AANF14 (0.34)Ab2M12 (0.29)AGel12 (0.29)ASem112 (0.29)APro7 (0.17)ALys3 (0.07)ACal2 (0.05)Enfuvirtide*2 (0.05)AIAPP2 (0.05) The prevalence of diverse and unexpected amyloid types in many tissues suggest that shotgun proteomic-based analysis may be the only way to accurately assign amyloid subtype in tissue samples. The technique avoids the analytical problems of immunohistochemistry and the bias introduced by assigning probable amyloid type based on clinical presentation and disease distribution. It provides the clinician with an amyloid subtype that allows for confident individualized patient management. Accurate amyloid subtyping by LC-MS/MS is not only possible, but has proven to be a robust routine clinical tool for the evaluation of numerous amyloidosis patients in our practice. Disclosures: No relevant conflicts of interest to declare.
Clinical Implications of t(11;14)(q13;q32), t(4;14)(p16.3;q32) and -17p13 (p53) Deletions in Myeloma Patients Treated with High Dose Therapy.
Abstract Introduction: FISH is able to recognize chromosomal deletions and translocations with a greater sensitivity than conventional cytogenetics. Specific abnormalities have been associated with prognosis. Initial observations suggest a poor outcome for patients with -17p13.1, chromosome 13 abnormalities (Δ13) and t(4;14)(p16.3;q32). In contrast a good outcome has been shown in some series for patients with t(11;14)(q13;q32). We analyzed the value of FISH in patients receiving high dose therapy . Patients and Methods: We studied by cIg-FISH 226 patients undergoing high dose therapy at Mayo Clinic between 1/1990 and 9/2001. All patients had a pretransplant cIg-FISH done on cytospin slides from marrow aspirates for t(11;14)(q13;q32), t(4;14)(p16.3;q32), and -17p13.1(p53). Information was available regarding Δ13 for all patients (+ in 52%). Results: The prevalence of the abnormalities were: t(11;14)(q13;q32) 17% (n=197), t(4;14)(p16.3;q32) 13% (n=153), and -17p13.1 11% (n=168). The overall survival (OS)was significantly shortened in patients with t(4;14)(p16.3;q32) (18.2 vs. 43.3 mo, p=0.001) (figure) and patients with -17p13.1 (14.7 vs. 38.6 mo, p=.01). OS was not different for patients with the t(11;14)(q13;q32) (36.2 vs. 34.8 mo, p=ns). Likewise time to progression (TTP) was shortened in patients with t(4;14)(p16.3;q32) (8.5 vs 17.7 mo, p=.001) and -17p13.1 (8.3 vs. 16.2 mo, p=0.005). TTP was also not affected significantly by the t(11;14)(q13;q32) (20.7 vs. 14.9 mo, p=NS). To dissect the specific contribution of t(4;14)(p16.3;q32) we did a subset analysis of patients who also had Δ13, since 85% of patients with t(4;14)(p16.3;q32) are expected to have Δ13. Of 84 studied for both abnormalities 22 had both Δ13 and t(4;14)(p16.3;q32). The OS was significantly shorter in patients with both abnormalities versus those with Δ13 alone (26.6 vs. 18.2 months, p=0.001). When a multivariable analysis of the impact of Δ13 and t(4;14)(p16.3;q32) were placed into a Cox model the hazard function for t(4;14)(p16.3;q32) was greater than Δ13 (2.6 versus 1.6). Δ13 had only borderline significance in this model (p=0.06). Conclusion: We have been unable to corroborate the improved outcome after transplant for patients with t(11;14)(q13;q32). As has been reported in patients with conventional and high dose therapy -17p13(p53) and t(4;14)(p16.3;q32) have clinical importance for estimation of OS and TTP. In this patient group the t(4;14)(p16.3;q32) carried a greater adverse impact than did Δ13, and identifies a subset of patients whose time to progression is 8.5 months. These patients likely do not benefit from autologous transplant and are candidates for novel therapeutic approaches. Outcome Successful determination Patients with translocation or deletion Survival (months) with/without abnormality Time to Progression (months) with/without abnormality * p<0.01;**p<0.001 t(11;14)(q13;q32) 197 34(17%) 36.2/34.8 20.7/14.9 p53 168 18(11%) 14.7/38.6 * 8.3/16.2 * t(4;14)(p16.3;q32) 153 26(17%) 18.2/43.3 **figure 8.5/17.7 ** t(4;14)(p16.3;q32)/Δ13+ patients 84 22(26%) 18.2/26.6 8.2/12.8 * Figure Figure
Survival in Patients with Newly Diagnosed Myeloma Undergoing Therapy with Lenalidomide and Dexamethasone: Impact of High-Risk Cytogenetic Risk Status on Outcome
Abstract Background: Multiple myeloma (MM) is a heterogeneous disease with very divergent outcomes that are dictated in a large part by specific cytogenetic abnormalities, as well as other prognostic factors such as the proliferative rate of marrow plasma cells. Prognostic systems incorporating these factors have shown clinical utility in identifying high-risk patients, and are increasingly being utilized for treatment decision-making. However, the prognostic relevance of these factors may change with the application of novel therapies. The objective of this study was to determine the impact of risk-stratification (incorporating plasma cell metaphase cytogenetics, interphase fluorescent in-situ hybridization (FISH) and the slide-based plasma cell labeling index (PCLI)) in a cohort of patients with newly diagnosed MM treated initially with lenalidomide + dexamethasone (Rev-Dex). Methods: From March 2004 to November 2007, 100 consecutive patients treated with Rev (25mg/day) on days 1 through 21 of a 4-week cycle in combination with dexamethasone as initial therapy for newly diagnosed myeloma, were identified. High-risk MM was defined as presence of any one or more of the following: hypodiploidy, monoallelic loss of chromosome 13 or its long arm (by metaphase cytogenetics only), deletion of p53 (locus 17p13) or PCLI ≥ 3% or immunoglobulin heavy chain (IgH) translocations, t(4;14) (p16.3;q32) or t(14;16)(q32;q23) on FISH. PFS and OS survival estimates were created using the Kaplan Meier method, and compared by log-rank tests. Results: The median estimated follow-up of the entire cohort (N=100) was 36 months. The median PFS was 31 months; the median OS has not been reached. The 2- and 3-year OS estimates were 93% and 83%, respectively. 16% patients were deemed high-risk by at least one of the 3 tests (cytogenetics, FISH or PCLI). Response rates (PR or better) were 81% versus 89% in the high-risk and standard risk groups, respectively, P=NS; corresponding values for CR plus VGPR rates were 38% and 45% respectively. The median PFS was 18.5 months in high-risk patients compared to 37 months in the standard-risk patients (n=84), P<0.001(Figure). Corresponding values for TTP were 18.5 months and 36.5 months, respectively, P=<0.001. OS was not statistically significant between the two groups; 92% 2-year OS was noted in both the groups. Overall, 95 patients had at least one of the 3 tests to determine risk, while 55 patients could be adequately stratified based on the availability of all the 3 tests, or at least one test result that led to their inclusion in the high-risk category. The significant difference in PFS persisted even when the analysis was restricted to the 55 patients classified using this stringent criterion; 18.5 months vs. 36.5 months in the high-risk and standard- risk groups respectively; P<0.001. In a separate analysis, patients who underwent SCT before the disease progression were censored on the date of SCT to negate its effect, and PFS was still inferior in the high-risk group (p=0.002). Conclusion: The TTP and PFS of high-risk MM patients are inferior to that of the standard-risk patients treated with Rev-Dex, indicating that the current genetic and proliferation-based risk-stratification model remains prognostic with novel therapy. However, the TTP, PFS, and OS obtained in high-risk patients treated with Rev-Dex in this study is comparable to overall results in all myeloma patients reported in recent phase III trials. In addition, no significant impact of high-risk features on OS is apparent so far. Longer follow-up is needed to determine the impact of risk stratification on the OS of patients treated with Rev-Dex. Figure Figure
A Phase II Trial of Gleevec™ in Patients with Refractory/Relapsed Myeloma.
Abstract Background: Though STI-571 (Gleevec™) was designed to specifically inhibit the bcr-abl gene product, it inhibits other receptor tyrosine kinases at physiologically attainable concentrations, including c-kit (steel factor receptor, stem cell factor receptor, SCF-R or CD 117). Studies have shown that about one-third of patients with multiple myeloma or monoclonal gammopathy of undetermined significance have plasma cells that display reactivity for c-kit. Others have shown that several myeloma cell lines and fresh myeloma bone marrow cells proliferate in response to stem cell factor. mRNA transcripts for c-kit ligand and, more commonly, its receptor have been detected in myeloma cell lines RPMI 8226, JJN3, U266 B1, NCI-H929, ARH77 and HS-Sultan by RT-PCR. Methods: Patients were eligible for study if they presented with relapsed or refractory myeloma, an ECOG performance score < 3, ability to sign informed consent, serum creatinine <3.5 mg/dL, direct bilirubin <2 mg/dL, alkaline phosphatase <750 U/L, absolute neutrophil count > .5 x 10(9)/L and platelet count > 50 x 10(9)/L. Patients were treated with Gleevec™ 400 mg po qd. The purpose of the study was to assess the response rate of the drug Gleevec™ in patients with relapsed multiple myeloma. Secondary objectives included assessment of the tolerability of the regimen in this cohort of patients and to correlation between disease response and c-kit positivity (CD117) by flow cytometry. Results: Overall, 23 patients were enrolled between 12/01 and 11/02, of which 16 were male and 12 had a prior PBSCT. Median age was 63 years (range: 49 – 82), and the baseline performance scores were 0 (8 patients), 1 (10), and 2 (4). Median time from MM diagnosis to enrollment was 57 months (range: 11 – 133). Patients were high risk with a median PCLI of 1.3 (range: 0 – 23%) and a median beta-2 microglobulin of 4.6 (range: 1.4 – 10.1). Eleven of 21 tested patients had positive CD117 (≥20%) staining of their bone marrow plasma cells by flow cytometry. None were PDGF positive. The treatment was well tolerated. After treatment with Gleevec™, there were only 3 non-hematologic grade 3 or 4 toxicities, and they occurred in 1 patient: he developed a capillary leak type syndrome, ascites, and dyspnea as part of his terminal phase of myeloma which included evolution into plasma cell leukemia. Grade 3 myelosuppression was observed in a minority of patients: thrombocytopenia (3), neutropenia (1), and anemia (3). There were no responses, and no patients are currently receiving treatment. Patients ended treatment due to progressive disease (18 patients), death on study (3), adverse reactions (1), and other reasons (1). The median duration of treatment was 48 days (range: 12 to 349). Of the 7 patients who remained on study for more than 60 days, CD117 status was as follows: positive (4); negative (3); not ascertained (1). As of August 2004, 12 patients have died. Conclusions: Though forty-eight percent of the enrolled myeloma patients were CD117 positive, providing a putative target for the Gleevec™, no responses were seen in this high risk population of relapsed patients. Further study will be necessary to determine the significance of the observed stabilization of disease in 36% of the CD117 positive patients.
Clinical Features and Treatment Response of Light Chain (AL) Amyloidosis Diagnosed in Patients with Previous Diagnosis of Multiple Myeloma (MM).
Abstract Abstract 4867 Introduction Both multiple myeloma (MM) and (AL) amyloidosis are clonal plasma cell proliferative disorders. While AL rarely “progresses” to MM, probably due to the shorter survival of AL patients, patients with MM have been reported to develop overt AL at a higher frequency. We conducted this study to identify and describe the clinical features, diagnosis, treatment patterns and response, and outcome among patients diagnosed with AL following an initial diagnosis of MM. Patients and Methods Of the 354 patients identified from a prospectively maintained database who carried a diagnosis of both MM and AL during the interval between January 1990 and December 2008, 44 patients had a histologic diagnosis of AL, at least 6 months after the diagnosis of MM. The organ involvement and treatment response (organ and hematologic) for AL as well as MM response to treatment were assessed according to conventional criteria. Results The median age at diagnosis of MM and AL was 63 years (range, 42-82) and 68 years (range, 45-86), respectively; 27 (61%) were males. The median time to AL diagnosis after MM diagnosis was 41 months (range, 7.6-134). The estimated median follow up from diagnosis of MM and AL is 15.5 years and 10 years, respectively and 39 (89%) patients have died. The median overall survival (OS) from diagnosis of MM and AL was 68.6 months and 9.1 months, respectively. At the time of AL diagnosis, 33 (75%) patients had developed typical features suggestive of AL [heart failure (12), paresthesias (11), nephrotic range proteinuria (9), elevated alkaline phosphatase and hepatomegaly (2), fatigue (7), weight loss (5), macroglossia (4) and periorbital ecchymoses (1)]; while others developed atypical features (3) (7%) or had an incidental finding of AL (8) (18%) [autopsy (2), unexplained cytopenia (2), mild proteinuria (1) and no symptoms (3)]. Cumulatively, amyloid deposits were revealed by biopsy of: bone marrow (23) (52%), subcutaneous abdominal fat (17) (39%), organ (10) (23%) and carpal tunnel tissue (6) (14%). Organ involvement, treatment response and hematologic status of MM at AL diagnosis were assessed for the evaluable patients. None, 1 and >1 organ involvement occurred in 5 (11%), 28 (64%) and 9 (20%) patients, respectively at AL diagnosis or follow up; while AL as the cause of neuropathy was questionable in 2. The organs involved were: heart (14, including 8 with >1 organ involvement), nerves (11), kidney (10), soft tissue (6), lung (5), GI (1) and liver (1). The hematologic status of MM at AL diagnosis included SD (22), progression (10), PR (3), VGPR (3) and not evaluable (6). The subsequent hematologic and organ response did not differ significantly among those who had a treatment change or started (20) (45%) compared with those who did not have a treatment change (20) (45%) at AL diagnosis [excluding those lost to follow up (2) or diagnosed at autopsy (2)]; although more patients (8/10) who had biochemically progressive MM belonged to the former group. The best hematologic response to treatment(s) after AL diagnosis (28) (64%) was: SD (17), PR (3), VGPR (6), CR (1), and progression (1); and not evaluable in others. The organ response (excluding patients with carpal tunnel surgery) to treatment(s) (18) (41%) was: progression (11), stable (4) and organ improvement (3). More patients with an improved (2/3) and stable (1/4) organ response had hematologic PR or better than those with progression (0/11) of organ disease. Five (11%) patients were alive at last follow up; and had either isolated kidney (3) and soft tissue (macroglossia) (1) or no organ involvement (1). All patients with an organ improvement, and 2/5 patients alive, had received PBSCT after AL diagnosis. Fewer patients with >1 organ involvement (1/9) underwent PBSCT compared with those without organ involvement (2/5); and achieved (0) PR versus (3) VGPR (to any treatment), respectively. Only 1/8 patient with an incidental discovery of AL developed symptomatic (cardiac) AL after 108 months of MM diagnosis and died; the remaining are either alive (1) or died from MM and its complications (3), infection (1), or were diagnosed at autopsy (2). Conclusion The recognition of AL (especially cardiac and multiorgan involvement) is critical in MM patients in order to determine prognosis and influence treatment. A high index of suspicion is required for the prompt recognition of AL to ensure timely institution of therapy with a goal of achieving hematologic and organ response. Disclosures No relevant conflicts of interest to declare.
Combination Therapy with CC-5013 (Lenalidomide; Revlimid™) Plus Dexamethasone (Rev/Dex) for Newly Diagnosed Myeloma (MM).
Abstract Background: Increasingly thalidomide (Thal) plus dexamethasone (Dex) is being used as initial therapy for multiple myeloma (MM), but there is a need to minimize non-hematologic toxicity with this regimen. CC-5013 (lenalidomide; Revlimid™) is a more potent analog of thalidomide with significantly fewer non-hematologic toxicities that has shown promising results in relapsed refractory myeloma. We report the initial results of the first phase II trial using the combination of CC-5013 plus Dex (Rev/Dex) as initial therapy for newly diagnosed MM. Methods: The trial is designed to accrue 31 eligible patients; 13 patients (pts) (11 male and 2 female) were analyzed in this interim report. Patients were enrolled between February 2004 and July 2004. CC-5013 was given orally at a dose of 25 mg daily on days 1–21 of a 28-day cycle. Dex was given orally at a dose of 40 mg daily on days 1–4, 9–12, 17–20 of each cycle. Patients also received an aspirin once daily as thrombosis prophylaxis. Response was defined as a decrease in serum monoclonal (M) protein by 50% or higher and a decrease in urine M protein by at least 90% or to a level less than 200 mg/24 hours. Responses were assessed on an intent to treat basis. Results: The median age was 61 years (range, 32–78). 8 patients (62%) had Stage III myeloma. 11 of the 13 patients achieved an objective response yielding a response rate of 85% within 1–2 months of therapy. So far 6 patients have experienced grade 3 adverse events. These include one episode each of CD4-count < 200/mm3, anemia, neutropenia, increased liver enzymes, muscle weakness, agitation, hyperglycemia, cardiac arrhythmia, pneumonitis, and colonic perforation (underlying diverticulitis and dexamethasone suspected). No deep vein thrombosis or grade 4 or higher adverse events have been observed so far. Conclusions: Rev/Dex appears active and well tolerated in the treatment of newly diagnosed MM and is a potential alternative to Thal/Dex. However, these results are preliminary and responses are still being evaluated and need to be confirmed in the final analysis of this trial. A large randomized trial using Rev/Dex as initial therapy for MM is expected to be activated by the Eastern Cooperative Oncology Group later this year.
Predicting Poor Peripheral Blood Stem Cell Mobilization Using Initial Peripheral CD34 Counts in Patients with Lymphoma.
Abstract Abstract 4228 Background Peripheral blood stem cells (PBSC) are the preferred graft type for autologous stem cell transplantation (ASCT) and mobilization is typically done using growth factor (GF) alone or a combination of chemotherapy (CTX) and GF. The success of mobilization is influenced by several factors such as prior therapy, mobilization strategy, underlying disease, among others. Patients (Pts) failing to mobilize successfully often have GF dose increased and if unsuccessful, mobilization is reattempted with chemotherapy + GF or G-CSF (Granulocyte Colony-Stimulating factor) + GM-CSF (Granulocyte–Macrophage Colony-Stimulating factor). More recently, plerixafor, a CXCR4 inhibitor, has been found to enhance G-CSF based collection allowing potential early intervention in poor mobilizers. However, this approach requires valid cut-points for peripheral CD34 counts (pCD34) for cost efficient use. Methods We studied 656 first time, G-CSF based PBSC mobilizers with Non-Hodgkin Lymphoma (562; 86%), or Hodgkin's Disease (94; 14%). Salvage attempts were excluded, as were first attempts using CTX+GCSF, plerixafor or GF combinations. Sensitivity-specificity analysis (Receiver operating characteristic) was used to define ideal cut-points for predefined outcomes. We used a CD34 yield of 2 million/kg as the minimum required collection and 5 million/kg as the ideal collection for the current analysis. Our current practice is to initiate collection at a pCD34 of 10/uL. Results We first determined the best day 1 pCD34 cutoff for being able to collect at least 2 million/kg PBSC to be 9/uL. Among those with ≥9/uL, only 6.6 % failed to collect at least 2 million compared to 55% among the rest (P < 0.001). These numbers were 6.3% and 50% respectively using the traditional cutoff of 10/uL. We then examined how the pCD34 on day 2 predicted collection, among those failing to reach the current threshold of 10/uL. Among this group, a pCD34 on day 2 of 9.1/uL was the best cutoff to predict a collection of 2 million/kg. Among those with >=9.1/uL, only 22% failed to collect at least 2 million compared to 79% among the rest (P < 0.001). Among those with day 1 pCD34 < 10, 49% achieved a count of 9.1/uL on day 2. We then examined what pCD34 on day 1 can best predict a pCD34 ≥ 9.1 on day 2 and found this to be 5.2/uL. Among those with day 1 pCD34 ≥ 5.2/uL, 79% reached day 2 pCD34 ≥ 9.1 compared to 24% among the rest (P < 0.001). We then determined cutoffs based on ideal targets using only those patients achieving pCD34 count > 10/uL by day 2, since these patients would have started collection without any change in the mobilization technique. We used a maximum of 5 collections to achieve the goal as being ideal, taking into account the most commonly used practice of collecting during weekdays. We examined cutoffs for a target of 5 million/kg for one transplant. The best day 1 or day 2 pCD34 predicting a 5 million/kg yield in 5 collections was 17/uL. Among those with day 1or 2 pCD34 ≥ 17/uL, 4% failed to reach 5 million in ≤ 5 days compared to 96% among the rest (P < 0.001). Conclusions This study provides an estimate of optimal pCD34 count thresholds for early identification of patients with lymphoma at high risk of collection failure. It is reasonable to use the first or second day pCD34 count, since a substantial proportion of patients will achieve the threshold value by day 2 and these patients appear to have similar outcome as those reaching the threshold by day 1. Based on the results here, interventions such as addition of plerixafor can be considered if pCD34 count is < 6/uL on day 1 or < 10/uL by day 2, to achieve the minimum collection of 2 million/kg. However, in order to achieve the ideal targets, a higher threshold should be considered and the recommendation based on the current study would be 17/uL for a target of 5 million. Such a target-adapted strategy may be more appropriate. Disclosures: Kumar: Celgene,Genzyme,Millenium,Novartis,Bayer,: Honoraria, Research Funding. Gertz:Genzyme: Research Funding. Micallef:Genzyme: Research Funding.
A Pilot Study of Pomalidomide and Dexamethasone in Previously Treated Light Chain Amyloidosis Patients.
Abstract Abstract 3854 Poster Board III-790 Background Primary systemic amyloidosis (AL) is an incurable plasma cell disorder. Lenalidomide, especially in conjunction with dexamethasone, has been shown to be active in patients with multiple myeloma. Pomalidomide is a derivative of thalidomide that acts as an immunomodulator. Preliminary data in multiple myeloma demonstrate that this agent is highly active and well tolerated. Methods Eligible patients were accrued into an IRB approved treatment trial with pomalidomide and dexamethasone after signing informed consent. Pomalidomide (2 mg) and dexamethasone (40 mg) were scheduled to be taken orally, the former on a continuous schedule and the latter once weekly. All patients were instructed to take an aspirin daily. Patients were eligible if they had previously treated, biopsy proven, symptomatic AL. Patients were required to have measurable hematologic disease, defined as either a serum M-protein greater than 1 g/dL, a urinary M-protein greater than 200 mg/24-hours, or a serum immunoglobulin free light chain greater than 10 mg/dL. Other eligibility criteria included an ECOG PS>=2, adequate hematologic reserve (ANC>=1000/uL, platelets>=75/uL) and adequate renal function (creatinine <=2.5 mg/dL). They also were required to comply with contraceptive requirements. Patients were excluded if they had uncontrolled infection, another active malignancy, NYHA classification III or IV, a serum troponin T >0.1 ng/mL, >=grade 3 peripheral neuropathy, untreated active thrombosis, or other chemotherapy within 2 weeks of study enrollment. Thirty-four patients are to be enrolled to allow for 2 possible cancels and to provide 90% power to detect a true hematologic response rate of at least 20%. Between 11/24/08-7/28/09, 20 patients have been enrolled. Baseline characteristics and adverse events are available for 17 of the 20 enrolled patients. Results Median age was 63 years (range 52 78), with 60% male. The median time from diagnosis to study entry was 45 months (range 4.5-103). Eighty-two percent had cardiac involvement; 41% renal involvement; 18% peripheral nerve involvement; and 12% autonomic nerve involvement. The cardiac biomarker staging breakdown was: I, 13%; II, 56%; and III, 31%. Patients were heavily treated, with 100% having received prior alkylator (including prior transplant in 9), 44% prior lenalidomide, 31% prior thalidomide, and 37% prior bortezomib. Thirty-three percent of patients had non-hematological adverse events (AEs) >=grade 3 (severe) that were deemed to be at least possibly related to therapy. Thirty-three percent had >=grade 3 hematologic AEs. Neutropenia was most the most common severe hematologic AE; severe thrombocytopenia was observed in only 1 patient, and there was no severe anemia. The most common severe non-hematologic AE was fatigue, which was observed in 3 patients. The only other severe AEs, each of which was observed in one subject each, were pneumonia, weakness, dyspnea, and ascites. As of 8/14/09, 17 patients remain on active therapy. Median time on study is only 3.7 months (range 0.2-8.1). Three patients have discontinued therapy: two progressions; and one death 5 days into treatment, presumably due to cardiac amyloidosis. At the time of this writing response rates could not be calculated given the short follow-up, but hematologic responses have been observed, and details on efficacy will be presented at the meeting. Conclusions Pomalidomide is well tolerated in previously treated AL patients. More information about its activity will be provided at the meeting. Disclosures: Dispenzieri: Celgene: Research Funding. Gertz:Celgene: Honoraria. Kumar:Celgene: Research Funding. Rajkumar:Celgene: Research Funding. Witzig:Novartis: Research Funding. Greipp:Celgene: Research Funding. Fonseca:Celgene: Consultancy. Bergsagel:Celgene: Consultancy. Mikhael:Celgene: Research Funding. Roy:Celgene: Research Funding. Lacy:Celgene: Research Funding.
High Bone Turnover and Increased Angiogenesis Cytokines in Patients with POEMS Syndrome.
Abstract POEMS syndrome is defined by the presence of peripheral neuropathy (P), monoclonal plasma cell disorder (M), organomegaly (O), endocrinopathy (E), and skin changes (S). Virtually all patients will have sclerotic bone lesions, although the mechanisms of their development have not been clarified to-date. Increased plasma level of VEGF is another characteristic of the disease. However, there is very little information for the role of other angiogenic molecules in POEMS pathogenesis. The aim of this study was to evaluate bone metabolism and angiogenic cytokines in POEMS and compare the results with multiple myeloma (MM) and osteosclerotic patients of other etiology. Seven patients with POEMS at diagnosis (6M/1F; median age: 49 years) were evaluated. A series of bone remodeling indices were measured: i) bone resorption markers [C- and N- telopeptide of type-I collagen (CTX and NTX), TRACP-5b], ii) bone formation markers [bone-alkaline phosphatase, osteocalcin (OC), and C-terminal propeptide of type-I collagen (CICP)], and iii) osteoclast regulators [soluble RANKL, osteoprotegerin (OPG), MIP-1α, and TNF-α]. Furthermore, the following angiogenic cytokines were measured in the plasma of POEMS patients: VEGF, VEGF-A, angiogenin, angiopoietin-1 (Ang-1), angiopoietin-2 (Ang-2), and bFGF. All above molecules were also measured in 25 newly diagnosed, untreated MM patients (14M/11F, median age: 64 years) and 20 healthy controls. Bone markers were also evaluated in 24 patients with HbS/beta-thalassemia (10M/14F, median age: 43 years) who presented with osteosclerosis, i.e. osteosclerotic bone lesions in plain radiography and a median T-score of lumbar spine Bone Mineral Density of +3.6 (range: +2 to +7.9). All POEMS patients had P, O, E, S, edema and thombocytosis; 6 had E and 2 Castleman’s disease. Six patients had sclerotic bone lesions, while 4 had also a lytic component in their bone lesions. POEMS patients had increased levels of sRANKL (p=0.003), OPG (p=0.008), TNF-α (p=0.001), NTX (p<0.001), CTX (p=0.001) and CICP (p=0.001) compared with controls. Interestingly, NTX levels were even higher in POEMS than in MM patients (p<0.01). NTX and CTX were elevated in POEMS compared with osteosclerotic HbS/β-thal patients (p<0.01), who had reduced bone resorption compared with controls. POEMS patients had increased levels of OC and CICP compared with MM (p=0.02 and p=0.003, respectively), and increased levels of OC compared with osteosclerotic HbS/β-thal patients (p<0.01). In terms of angiogenic cytokines, POEMS patients had increased levels of all studied cytokines compared with controls (p<0.01). All POEMS patients had at least 1.8-fold higher value of VEGF-A (the major angiogenic component of VEGF) compared with the higher value observed in controls. Furthermore, VEGF (p=0.03), VEGF-A (p<0.001), angiogenin (p<0.001), and bFGF (p=0.01) were higher in POEMS than in MM. The ratio of Ang-1/Ang-2 was very low in POEMS compared with both controls and MM. These results suggest that POEMS patients have increased bone turnover in contrast to MM patients who have reduced bone formation and osteosclerotic HbS/β-thal patients who have diminished bone resorption. Furthermore the imbalance of Ang-1/Ang-2 pathway and the increased levels of angiogenic cytokines, even compared with MM, may indicate possible targets for the development of novel agents against POEMS.
Excessive Weight Gain during Mobilization Increases First Year Mortality Following High Dose Therapy and Stem Cell Transplantation in Patients with Primary Amyloidosis.
Abstract Introduction: High dose melphalan followed by stem cell transplantation (HDM-SCT) is currently the most effective therapy for primary systemic (AL) amyloidosis. Recent data showed a 40% complete hematologic response rate and median survival of 4.6 years with HDM-SCT can be obtained. Despite its advantages, treatment mortality can be excessive in high-risk patients. Previously, extensive cardiac, hepatic or renal involvement had been identified as risk factors for poor outcome. We observed that patients who had more than 2% weight gain during mobilization also had a poorer survival after HDM-SCT. This study was undertaken to further examine the outcome of these patients. Patients: Consecutive patients who underwent HDM-SCT for AL between 7/97 and 6/04 were retrospectively studied. Weight (kg) was measured just prior to mobilization, at its peak during mobilization and collection, and just prior to conditioning. Baseline characteristics were extracted from medical records along with left ventricular ejection fraction (LVEF), septal thickness, glomerular filtration rate (GFR), proteinuria, alkaline phosphatase, and the number of visceral organ involved with AL. Mobilization was achieved by cyclophosphamide (C) with granulocyte colony growth factor (GCSF), C with granulocyte-macrophage colony stimulating factor (GMCSF), GCSF alone and GMCSF alone or in combination with GCSF. Patients were conditioned with melphalan in doses of 100mg, 140mg or 200mg per m2 or 140 mg/m2 in combination with total body irradiation. Hematologic response was determined by A 50% reduction in measurable monoclonal protein levels or complete eradication by immunofixation if too small to quantify. Results: During the time period, 128 patients underwent HDM-SCT for AL. One patient was excluded because no weight was recorded during mobilization and 1 refused consent. Weight gain of 2% or greater was noted in 51.6% (65) of the patients. Mortality at 1 year was significantly higher in patients with > 2% weight gain (32.3%) compared to those without (9.8%) (OR = 4.37, 95% CI 1.71 to 12.77, p = 0.004). Univariate analysis identified septal thickness, GFR, alkaline phosphatase, organ involvement and weight gain as risk factors of mortality at 1 year. Using the logistic model, only septal thickness (p =0.04), GFR (p = 0.009) and weight gain (p = 0.009) remained independent predictors of first year mortality in the multivariate analysis. No association was found between weight gain and mobilization regimen. Analysis of patient who survived the first 100 days posttransplant showed no correlation between weight gain and hematologic response. Finally, weight reduction to baseline prior to conditioning did not improve first year survival for those who gained > 2% during conditioning. Conclusion: Our study found weight gain of 2% or more was associated with significantly higher first year mortality after HDM-SCT. The effect of weight gain was independent of both cardiac and renal involvement with AL. Fluid retention was not directly responsible for the higher mortality, as weight reduction to baseline failed to improve the outcome of these patients. Weight gain during mobilization appears to be a novel pretransplant risk factor that predicts the outcome of HDM-SCT based on response to mobilization.