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Abstract Background: Clonal cytogenetic aberrations define multiple myeloma (MM) into unique subsets of the disease each one with unique clinical and biologic features, associations with laboratory and pathologic markers and presumed differential influence on disease progression. While it is widely accepted that translocations represent primordial events in the pathogenesis of MM, it is controversial whether all translocations can be associated with disease stability and non-malignant behavior (i.e. in MGUS/SMM). We have found the translocations in cases of MGUS using dual fusion, cIg enhanced, interphase FISH, while others have found this translocation at lower prevalence using single fusion interphase FISH or the RT-PCR for IgH/MMSET. We thus sought to clarify by expanding the study of the t(4;14) among patients with MGUS and SMM. Materials and methods: We studied 210 patients who had the diagnosis of MGUS and SMM and entered into the Mayo Clinic Dysproteinemia database. Patients were excluded if they had active MM, extramedullary disease or plasmacytoma. Patients with isolated lytic bone lesions could be included if they had no overt evidence of progression. All studied patients had provided written informed consent for the collection of a research bone marrow aliquot that was collected at the time of routine bone marrow procurement. All patients had cytospin slides that were studied for a t(4;14) using cIg-FISH as previously described by us and using a double fusion FISH strategy. The importance of this is that the strategy will detect unbalanced t(4;14) with loss of der(14). Results: Twenty patients (9.5%) had evidence of the chromosome translocation. Detailed demographic data was available in 19; 14 were women (74%), 13 of 19 (68%) had SMM and there was no bias for heavy chain IgA (26%). Patients with t(4;14) were slightly younger than those without the abnormality (52 vs. 61 years), had similar hemoglobin concentrations, had slightly higher concentration of the serum M spike (2.0 vs 1.75 g/dl) and had overall slightly higher bone marrow plasmacytosis (median 23% vs 10%). Patients were followed since diagnosis for a median of 33 months (range 2–162 months). Three patients progressed to active MM at 12, 12 and 26 months after original diagnosis (all three originally having indolent/SMM). Conclusion: The t(4;14) can occur in patients with MGUS and SMM and without evidence of progression to MM. The prevalence is similar to that observed in MM, albeit slightly lower (9.5% versus 14%). In most “benign” plasma cell neoplasms the translocation is associated with greater plasmacytosis and thus enriched for in the smoldering MM category. It is also likely that the t(4;14) confers a higher risk of progression to MM given; a) its enrichment in SMM, b) the slightly higher prevalence of the translocation in MM as opposed to MGUS/SMM, and c) the well documented aggressive clinical course of MM with t(4;14).

Abstract H-MM affects about 40–50% of patients, and a similar proportion of MGUS/SMM. The genetic evolution of the disease and the clinical implications of the co-existence of 13q- or t(14q32) are unknown. We conducted a global survey of genetic abnormalities in H-MM in order to describe genetic evolution pathways. H-MM cases from the Mitelman cancer genetic database were combined with cases from the Mayo Clinic MM genetic database. All abnormalities (regional/whole chromosome gains/losses, breakpoints and translocations) were plotted against a 344-chromosome band profile created in a matrix format, and the number of genetic abnormalities per tumor (NAPT) logged. The abnormalities present in more than 5% of tumors were considered recurrent and each karyotype was scored for the presence or absence of each of the recurrent abnormalities. To investigate the temporal pattern of acquisition of genetic abnormalities, all tumors with a given abnormality were selected and the distributions of NAPT plotted. The modes of these distributions were used as a value of ‘lateness’, referred to as time of occurrence (TO). The impact of co-existence of 13q- and t(14q32) on progression free survival (PFS) and overall survival (OS) in H-MM was determined for MM patients entered into an Eastern Cooperative Oncology Group chemotherapy trial. Four hundred and sixty-nine H-MM patients were included in the karyotypic analysis. The median chromosome number was 53 (range 48–74) and the median NAPT was 10 (range 1–25). The distribution of NAPT revealed a normal distribution, suggesting an obligatory acquisition of a given number of genetic abnormalities. The most common abnormalities were trisomies of chromosomes 3,5,7,9,11,15,19 and 21 affecting a third or more of the patients. Deletions and abnormalities of even-numbered chromosomes occur in 20% or less of patients. None of the more than 300 specific translocations detected were recurrent. However, 5 translocation breakpoints were recurrent including 14q32, 8q24 and 11q13. TO analysis suggest that for H-MM, the trisomies are early genetic events, translocations occur midway and deletions tend to be later events. Amongst the trisomies, correlation analysis does not suggest a particular order of acquisition. Clustering analysis using principal component analysis suggests that in H-MM, IgH translocations are secondary events associated with disease evolution rather than defining unique biological entities. Consistent with this, survival of H-MM patients is not affected by 13q- status but is negatively impacted by the presence of t(14q32) especially those with unknown partners (p<0.05). The data presented suggest that H-MM fit a proposed aneuploid model of cancer due to auto-catalytic chromosome reassortment (Duesberg et al Cell Cycle2003:2:202–210). The presence of tumor specific trisomies and the apparent similar phenotype induced by various combinations of trisomies are consistent with this model.

Abstract Background: Abnormally increased tumor associated neovasculature plays an important role in tumor progression in solid tumors and hematological malignancies. In multiple myeloma (MM) bone marrow angiogenesis, measured in terms of microvessel density (MVD), has prognostic value, and appear to increase with disease progression from monoclonal gammopathy of undetermined significance to relapsed MM. We have shown that MVD has prognostic value in patients with newly diagnosed MM including patients undergoing upfront high dose therapy and stem cell transplantation, but comparison with other known prognostic factors has been limited by sample size. It is also not known whether the MVD adds prognostic value once the recently described International Staging System (ISS) is applied. The goal of this study was to determine the prognostic effect of bone marrow MVD in newly diagnosed MM relative to the ISS and other known prognostic factors. Methods: We studied 400 patients with newly diagnosed MM seen at the Mayo Clinic between March of 1988 and December 2001. Sections from bone marrow biopsy blocks from the time of initial diagnosis were studied by immunohistochemistry using antibodies against CD34 antigen to high light the endothelial cells. Under low power (100X); three areas with maximum number of microvessels (hotspots) were identified. Each of these areas was further studied at 400X magnification and the number of microvessels per high power field counted. The average of the three readings was taken as the MVD for the sample. In addition, the samples were graded as low, intermediate or high by using a visual estimate as previously described. Additional clinical data was extracted from medical records. Some of the patients have been included in previous studies related to angiogenesis. Results: A total of 400 patients in whom a bone marrow biopsy from within 30 days of diagnosis was available were studied. The pts were followed for a median of 37 months (Range: 1 month to 16.5 years) and 318 pts (80%) had died at the time of this analysis. The median MVD for the entire group was 14.7 (Range 0–168). The median overall survival for the three groups according to the MVD grade was lower for the high grade group (31.9 months) compared to the intermediate grade group (37.2 months) and the low grade group (not reached); P <0.029, log rank test. We examined this group of patients for other factors prognostic for overall survival. Factors significant on univariate analysis included ISS stage, platelet count (<150 vs. >= 150 X 106/L), and plasma cell labeling index (<1 vs >=1). In a multivariate analysis using these variables and MVD as a continuous variable, high MVD and the ISS staging system were significantly associated with poorer survival (Table). Conclusion: In this large group of pts with newly diagnosed MM, we confirm the prognostic value of increased bone marrow angiogenesis. We examined the MVD as a continuous variable in the multivariate analysis for a closer evaluation of this measure in this comparison. More importantly, the prognostic value appears to be independent of the ISS and other major prognostic factors. The resultsof this study reinforces the biological relevance of this finding in MM. HR 95% CI P value MVD 1.006 (1.001, 1.011) 0.0279 ISS Stage I 0.37 (0.25, 0.56) <0.001 ISS Stage II 0.58 (0.41, 0.83) 0.0025

Abstract We previously have reported that autograft absolute lymphocyte count (A-ALC) is a possible prognostic factor for survival after autologous peripheral blood stem cell transplant (ASCT) for myeloma (MM). Factors affecting A-ALC in MM are unknown. We hypothesize that method of stem cell mobilization, hematopoietic growth factor (HGF) vs. HGF+Cytoxan chemotherapy (C+HGF), directly affects A-ALC collection. 191 consecutive MM patients between 1994 and 2004 were analyzed retrospectively. Patients generally were mobilized with C+HGF prior to 2003. Thereafter, C+HGF was reserved largely for those with ≥4% circulating peripheral blood plasma cells (PC), a negative prognostic indicator. No patients were transplanted in disease relapse or refractory disease. Patients also were matched for age, sex, β2-microglobulin, conventional cytogenetics, LDH, c-reactive protein, number of prior therapies, plasma cell labeling index (PCLI), pre-mobilization ALC, and % bone marrow (BM) PC. The groups HGF (n=80) and C+HGF (n=111) differed with respect to the conditioning regimen (p < 0.0001), and presence of (≥4%) circulating peripheral blood PC (p<0.005). The primary end-point of the study was to assess the correlation between HGF vs C+HGF, and A-ALC. The secondary endpoint was to determine if HGF vs C+HGF affected survival post-ASCT. Patients mobilized with HGF had a higher A-ALC compared to those mobilized with C+HGF [0.764 x 109 lymphocytes/kg (range: 0.146–1.803) vs. 0.212 (range: 0.016–1.26), p<0.0001]. No association was identified between A-ALC and conditioning regimens (p = 0.19) and PC (p = 0.31). Median overall survival (OS) and progression-free survival (PFS) were longer in those mobilized with HGF vs. C+HGF (not reached vs. 48 months, p<0.0150; not reached vs. 21 months, p<0.007, respectively). Multivariate analysis demonstrated that age ≥50 vs age ≤50 (p<0.05) and A-ALC ≥0.5 vs <0.5x109 lymphocytes/kg (p<0.0397) were independent predictors of OS. Factors influencing PFS in the multivariate analysis included circulating PC ≥4% vs <4% (p<0.0157), PCLI ≥ 1% vs PCLI ≤ 1% (p<0.0107), and A-ALC ≥0.5 vs <0.5x109 lymphocytes/kg (p<0.0042). On multivariate analysis, the method of stem cell mobilization and the conditioning regimen did not have a statistically significant effect on either OS or PFS. We hypothesize that the differences in PFS and OS seen between the HGF vs C+HGF mobilization groups are mediated through the A-ALC. These data suggest that mobilization regimens should not only collect CD34+ stem cells, but also be optimized to collect an A-ALC target which may impact on PFS and OS post-ASCT.

Abstract Background: The presence of circulating myeloma cells (CMC) detected by flow cytometry at the time of diagnosis of multiple myeloma is associated with a shortened response to therapy and reduced overall survival (OS). We hypothesized that the presence of CMC at the time of stem cell collection prior to high dose therapy (HDT) and autologous stem cell transplantation (ASCT) would identifies a cohort of patients with a high risk of rapid progression. Methods: The Mayo Clinic myeloma transplant database was queried for patients who were mobilized using cyclophosphamide and hematopoietic growth factors. CMC was determined using flow cytometry by gating on a population of CD38 bright and CD45 negative cells. The impact of CMC on OS and time to progression (TTP) and its role in the context of established prognostic parameters was evaluated. Results: Of 246 patients with MM undergoing ASCT, 95 had CMC. Patients with CMC had significantly higher plasma cell labeling index, adverse cytogenetics, B2-M and resistant disease. Complete response (CR) rates post transplant were 32% and 36% for patients with and without CMC (p=0.5034). OS was 33.2 and 58.6 months (p=0.0052) while TTP was 14.1 and 22 months respectively (p=0.0005). Figure Figure On multivariate analysis, CMC remained an independent prognostic factor in a model that included cytogenetics and disease status at time of transplant (p=0.0314). A prognostic system based on the presence or absence of CMC and karyotype abnormalities was developed. Patients with neither, one or both parameters had a median, OS of 55, 48 and 21.5 months respectively (p<0.0001) while TTP was 22, 15.4 and 6.5 months for the same groups (p<0.0001). Conclusion: The presence of CMC at the time of HDT and ASCT is an independent prognostic factor. The combination of CMC and cytogenetics provides a simple yet powerful scoring system that stratifies patients and guides their management.

Abstract Background: Thalidomide and dexamethasone combination has been shown to be an effective therapy for multiple myeloma (MM). In newly diagnosed patients with MM, the combination results in overall response rates of over 70% of patients. However, a considerable number of patients do not respond and will need to proceed to other therapies. The ability to identify patients who are unlikely to respond to particular therapies will allow tailoring of therapeutic approaches and in turn will reduce unnecessary toxicity and morbidity from lack of rapid disease control. With the availability of new technology such as gene expression profiling (GEP), this has become a possibility. We employed this approach to identify genes that can reliably predict lack of response to the thalidomide dexamethasone combination. Methods: Patient samples from the Eastern Co-operative Oncology Group clinical trial (E1A00), that compared thalidomide-dexamethasone combination with dexamethasone, and patient samples from the phase II Mayo Clinic study of thalidomide and dexamethasone, both for newly diagnosed MM, were used for this study. Thirty newly diagnosed patients who were evaluable for response were included in the analysis. GEP was performed using the Affymetrix U133A microarray platform as per manufacturer’s recommendation. The Affymetrix output (CEL files) was imported into Genespring 7.2 (Agilent Technologies) microarray analysis software, normalized across chips using GCRMA followed by per gene normalization to median. For the purposes of this study, responses were defined as reduction in the serum paraprotein (or the urinary M protein in the absence of a serum M protein) of >=50% (PR), 25 to 49% (MR), increase of >=50% (PD) and stable disease for the remaining. Results: Five of the 30 patients had no response to the thalidomide Dexamethasone therapy. Using the class prediction tool available in Genespring (Support Vector Machines), we identified 25 genes that reliable predicted non responders (PD, NC) from the responders (MR, PR, and CR). See table for a list of predictive genes with identified genes. Conclusion: Using a combination of two datasets we have identified a set of genes that can be used to reliably predict lack of response to thalidomide and dexamethasone in patients with newly diagnosed MM. We think that this represents a step towards creation of custom microarrays spotted with genes that are capable of predicting lack of response (or response) for the purpose of tailoring therapy to the patient. Gene Predictive strength hypothetical protein FLJ20719 1.655 Tubulin alpha 6 1.653 SEC3-like 1 (S. cerevisiae) 1.649 Ribosomal protein L18 1.546 Ribosomal protein L4 1.432 Tubulin alpha 6 1.409 cleavage stimulation factor 1.393 Tubulin, alpha, ubiquitous 1.393 CD99 antigen 1.38 hmel2 1.346 Leptin receptor 1.291 Integrin-linked kinaseSMC4 structural maintenance of chromosomes 4-like 1 1.269 Cornichon homolog 1.255 Williams-Beuren syndrome chromosome region 5 1.217 Ubiquitin specific protease 1 1.2 Sarcoma antigen NY-SAR-91 1.2

Abstract Background: Solitary plasmacytoma of bone (SBP) is a localized collection of monoclonal plasma cells that is potentially curable with local radiation therapy but associated with a high risk of progression to multiple myeloma. We hypothesized that an abnormal immunoglobulin free light (FLC) ratio at diagnosis may be a prognostic indicator of transformation risk. Methods: We identified a cohort of 133 patients with SBP for whom stored serum taken at the time of diagnosis was available. The diagnosis was ascertained and serum FLC determined in 126 patients. Results: From this cohort, 48 patients have progressed to myeloma and the median time to progression among those who progressed was 1.9 years. On univariate analysis, age (p<0.001), gender (p=0.035), abnormal FLC ratio at diagnosis (p=0.009) and persistence of serum or urine M-protein after therapy (p=0.0070 were all associated with a shorter overall survival (OS) and time to progression to multiple myeloma. Progression by Normal FLC(0.26–1.65) Progression by Normal FLC(0.26–1.65) On multivariate analysis, an abnormal FLC ratio retained its independence in a model that includes age at diagnosis but lost its significance when combined with persistence of the serum or urine M-protein. However, serum or urine M-proteins are not detectable in a significant number of patients with SBP and therefore not informative. Conclusion: The FLC ratio at the time of diagnosis of SBP is a powerful predictor of risk and a useful aid to management of patients with this condition.

Abstract Introduction: We previously reported that serum cardiac biomarkers are among the most powerful predictors of overall survival. This observation was based on outcomes of more than 300 patients with primary systemic amyloidosis (AL) receiving either low dose chemotherapy or high dose chemotherapy with peripheral blood stem cell transplant (PBSCT). Not all institutions use the N-terminal pro-brain natriuretic peptide (NTproBNP) assay, but rather the B-type natriuretic peptide (BNP) assay. We therefore determined the relative utility of BNP in patients with AL undergoing PBSCT and up-dated our results using our NTproBNP-troponin T staging system. Methods: Between 4/10/96 and 2/24/05, 164 patients with AL undergoing PBSCT had measurements of serum cardiac biomarkers. All BNP measurements were done on fresh serum (Biosite Inc., San Diego). The NTproBNP (Roche Diagnostics, Indianapolis, IN) and troponin T (TnT) (Roche Diagnostics, Indianapolis, IN) measurements were done on either stored serum or on fresh samples as previously reported. Follow-up for patients was through March 2005. Results: Between 5/1/03 and 2/15/05, 72 patients had BNP measurements pre-transplant. The median value was 167 pg/ml (range 5 to 7739). Forty-two of these patients also had an NTproBNP measured. There was good agreement between the two tests in the 42 patients that had both measurements (rho 0.823, p<0.0001). To further test the relationship between the two tests, we evaluated the correlation between BNP and NTproBNP using 204 simultaneous measurements from 106 patients (rho=0.89, p<0.0001). Next, we tested the prognostic utility of BNP. Using a cut-off point of 120 pg/L (the upper limit of normal for women over the age of 70 and the 50th percentile of all measurements in our data set), we found that BNP was prognostic for survival post-transplant. It was independent of TnT values, and patients could be divided into 3 risk categories using these two measurements (low risk if both values were low, high-risk if both were high, and intermediate if either was high). This system was highly predictive of overall survival (Figure A). We next compared the BNP-TnT staging system to our previously reported NTproBNP-TnT staging system in the 42 patients that had all 3 values pre-transplant. The correlation between the two staging systems was excellent (rho=0.91, p<0.0001). Follow-up for the 100 patients who had been reported previously is now 26.9 months. As shown in Figure B, the NTproBNP-TnT system predicts for overall survival post transplant. Conclusions: Serum levels of cardiac biomarkers are invaluable prognostic markers in patients with AL. Preliminary data would suggest that a BNP-TnT system is as useful as the NTproBNP-TnT system. Risk thresholds: BNP <120 pg/ml; TnT <0.035 ng/ml; NT-proBNP < 332 pg/ml BNP-TnT statisfaction: low risk, both low; high risk, both high; intermediate, either high. NT-proBNP-TnT satisfaction: low risk, both low; high risk, both high; intermediate, either high. Risk thresholds: BNP <120 pg/ml; TnT <0.035 ng/ml; NT-proBNP < 332 pg/ml BNP-TnT statisfaction: low risk, both low; high risk, both high; intermediate, either high. NT-proBNP-TnT satisfaction: low risk, both low; high risk, both high; intermediate, either high.

Abstract Waldenström’s macroglobulinemia (WM) is an incurable low-grade lymphoproliferative disorder characterized by bone marrow (BM) infiltration of a clonal population of small B-lymphocytes, plasmacytoid lymphocytes and plasma cells that secrete monoclonal IgM antibody. Because it is difficult to obtain tumor metaphases for karyotype studies, few recurrent chromosomal abnormalities have been reported and the genetic basis of the disease remains poorly defined. Therefore, we performed a comprehensive high-resolution study to identify genomic abnormalities involved in WM pathogenesis. Fifty-seven WM patients were analyzed using a combination of array-based comparative genomic hybridization (aCGH)(N=42); gene expression profiling (GEP)(N=22), DNA sequencing (N=24) and cIgM-FISH (N=57). Agilent 244A and Affymetrix U133 platforms were used in the aCGH and GEP experiments, respectively. An NF-κB index was calculated from GEP data, as a surrogate marker of NF-κB transcription activity. NFKB2 sub cellular localization was determined by immunofluorescence staining. Overall, 83% of samples have aCGH defined chromosomal abnormalities, with a median of 3 abnormalities per patient (range 0 to 27). We identified 16 recurrent regions of copy number change found in >5% (3 or more patients); 10 deleted and 6 amplified regions. The most common abnormality was the entire or partial deletion of 6q, identified in 40% of cases. Four nonoverlapped minimal deleted regions were identified on 6q (MDR1 to MDR4), each of them being present in at least 14 of 17 patients with the abnormality. Gain of 6p was the second most common abnormality (17%) and its presence was always concomitant with 6q loss. Other recurrent deletions were 13q14 (10%) and 7q22, 8p, 11q22-q23, 11q23-q24 and 17p11-p13 (7% each). Copy gains were identified as partial or entire gains of chromosomes 18 (17%), 4 (12%) and 3 (10%), 8q (10%) and Xq27.1-q28 (10%). Three patients had either homozygous deletions or LOH with mutations affecting both alleles of TRAF3 on 14q32. TRAF3 inactivation was correlated with an increased NF-kB transcriptional signature and it was associated with activation of the non-canonical NFkB pathway. Additionally, we identified the inactivation of TNFAIP3, another negative regulator of the NF-kB pathways, in one of 24 patients. Finally, interstitial deletions identified in 4 patients at 13q14 identified a 1.1 Mb MDR, including MIRN15A and MIRN16-1. These findings confirm that focal 13q14 deletion is not restrict to B-CLL and that the MIRN15A/MIRN16-1 abnormalities might be common to several indolent B-cell diseases. Overall, we identified TRAF3 and TNFAIP3 inactivation in 5.3% and 2.4%, respectively. To our knowledge, this is the first study showing the inactivation of bona fide tumor suppressor genes in WM patients. Furthermore, these genes are negative regulators of NF-kB signaling pathway, highlighting its biologic importance in sustaining and limiting growth in WM. Mutational activation of this pathway, which is normally activated by ligand-receptor interactions within the BM microenvironment, suggest a therapeutic role for inhibitors of NF-KB pathway activation in the treatment of WM.

Abstract Introduction: The kidney is affected by immunoglobulin light chain amyloidosis (AL) in more than 50% of patients who present with the disease, but long-term predictors for and outcomes after renal replacement therapy have not been well described in this patient group Patients: 145 patients with AL who participated in Mayo Clinic treatment trials and were monitored for at least 11 years. No patient was lost to follow-up Results: Among patients presenting with renal AL, 42% ultimately received renal replacement therapy compared with 5% of patients who did not have an initial presentation involving the kidney. Table 1. Monoclonal Protein Studies in 145 Patients With Immunoglobulin Light Chain Amyloidosisa Patients, No. (%) Monoclonal Protein Renal Amyloid at Presentation (n=84) Nonrenal Amyloid at Presentation (n=61) a P=.02 l more likely to cause renal presentation None 7 (8) 2 (3) k 6 (7) 12 (20) l 71 (85) 47 (77) Table 2. Characteristics of All 145 Patients With Immunoglobulin Light Chain Amyloidosis Amyloid Renal (n=84) Nonrenal (n=61) P Value Abbreviations: IQR, interquartile range; NA, not applicable. a included in the definition of renal amyloidosis Patients with l immunoglobulin light chain amyloid were significantly more likely to have renal involvement and had significantly greater urinary protein loss than patients with κ or no monoclonal light chain amyloid Age, median (IQR), y 61 (52–67) 62 (55–68) .47 Sex, male/female 52/32 40/21 .72 24-hr urine protein loss, median (IQR), g/d 7.0 (4.4–11.7) 0.3 (0.1–6.4) NAa Creatinine, median (IQR), mg/dL 1.1 (0.9–2.2) 1.1 (0.9–1.3) .22 Cardiac involvement (yes/no) 35/48 48/16 .0001 Table 3 Distribution of Urinary Protein and Creatinine Based on Monoclonal Protein Monoclonal Protein Test k (n=18) l (n=118) None (n=9) P Value Abbreviation: IQR, interquartile range. Patients with renal amyloid who ultimately received dialysis support had significantly higher serum creatinine and 24-hour urine protein levels at presentation. Absence of cardiac involvement at diagnosis predicted an increased likelihood of dialysis All patients (N=145) 24-hr urine protein loss, median (IQR), g/d 0.73 (0.16–2.37) 3.61 (0.35–7.8) 5.68 (0.3–12.2) .001 Creatinine, median (IQR), mg/dL 1.1 (0.9–1.3) 1.1 (0.9–1.3) 1.5 (1.2–1.6) NS Patients with renal amyloid at presentation (n=84) 24-hr urine protein loss, median (IQR), g/d 2.93 (1.1–5.0) 7.2 (4.8–11.8) 7.8 (3.8–12.6) .04 Creatinine, median (IQR), mg/dL 1.0 (0.8–2.6) 1.1 (0.9–2.2) 1.5 (1.1–1.6) NS Table 4 Characteristics of 84 Patients Presenting With Renal Amyloidosis Dialysis Subsequently Not Required Characteristic Required (n=35) (n=49) P Value Abbreviation: IQR, interquartile range. The median time from diagnosis to dialysis was 29.5 months for those that went into renal failure.). However, the actuarial risk reached 50% at 12 years Kaplan-Meier failure curve demonstrating the actuarial time from diagnosis to the start of dialysis therapy N=145 For 38 patients who received dialysis, median survival from day 1 of dialysis was 10.4 months Kaplan-Meier survival of 38 patients from the start of dialysis therapy Age, median (IQR), y 60 (52–67) 62 (52–67) .90 Sex, male/female 21/14 31/18 .76 24-hr urine protein loss, median (IQR), g/d 7.4 (5.0–14.8) 5.9 (3.7–9.1) .03 Creatinine, median (IQR), mg/dL 1.4 (0.9–2.8) 1.1 (0.9–1.5) .01 Cardiac involvement (yes/no) 9/26 26/23 .01 Conclusion: In our study, 26% of all patients with AL ultimately received renal replacement therapy compared with 42% of patients who presented with renal AL specifically. The presenting 24-hour urine protein loss and creatinine values predict which patients will require dialysis. Median survival for patients starting dialysis is less than 1 year. Presence of l light chain amyloid predicts an increased likelihood of renal involvement and, when the kidney is affected, increased proteinuria.