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Abstract Abstract 743 Background There has been considerable recent focus upon the molecular classification of myeloma. However, the prognostic impact of molecular changes has mostly been assessed from small and/or incomplete studies from single institutions or groups. There has been no large scale analysis of molecular features linked to ISS stage. Methods In order to clarify the overall impact of molecular changes we undertook a collective analysis of 9,897 patients through the International Myeloma Working Group (IMWG). Within this population 2,295 patients had presence of cytogenetic abnormalities (Any CA); 1,713 hypodiploidy; 1,673 hyperdiploidy; 2,309 cytogenetic deletion 13; 3,226 deletion 13 by FISH; 1,573 FISH t(4;14); 1,486 FISH del p17; 1, 683 FISH t(11:14); and 366 FISH t(4;16). Enrolled patients had complete clinical and treatment details available including baseline standard prognostic factors, ISS stage, as well as both progression free survival (PFS) and overall survival (OS) information. Data came from 14 sites: 3 from the US and the remainder from Europe, Asia, and Latin America as for the ISS staging system analyses. Univariate and multivariate analyses were performed. Results Each of the known adverse molecular features had a negative impact upon both PFS and OS (p=002 - <0.0001). Among the deleterious FISH abnormalities the t(4;14) abnormality was the most highly correlated with poorer outcomes by PFS: 4 year estimate: 32% vs. 60% (p<0.0001). The t(4;14) abnormality combined with ISS Stage also significantly enhanced predictive capability: ISS Stage I without t(4;14) OS 81% @ 4 years; ISS Stage III with t(4;14) OS 22% @ 4 years (P<0.0001) [Figure 1]. The best outcomes were for ISS Stage I in the presence of t(11;14): OS 89% @ 4 years. Absence of any one adverse feature correlated with 80-81% OS @ 4 years for Stage I. Presence of any one adverse feature had a more variable impact and correlated with 22%-40% OS at 4 years for Stage III. In univariate correlations the most predictive correlations with OS were presence of Any CA, t(4;14), 17p-, hypodiploidy, cytogenetic 13q- with R2 values of 6.9%, 4.5%, 4.1% and 3.8% respectively. In multivariate analyses, ISS stage provided the best predictions: R2 values = 13.3%. The added contributions from molecular features were: t(4;14) 3.8%; cytogenetic 13q- 2.9%; Any CA 2.3%; and 17p- 1.0%. The maximum total R2 for OS was 22%. Conclusions This large multicenter analysis confirms the correlations between abnormal molecular findings and outcomes. Combinations with ISS Stage provide the best predictive capability. Presence of Any CA, t(4;14), 17p-, hypodiploidy and cytogenetic 13q- contribute to poorer outcomes by ISS stage. The presence of hyperdiploidy and/or t(11;14) contribute to better outcomes. There is thus validation of prior molecular studies related to prognosis utilizing this large IMWG database. Disclosures: No relevant conflicts of interest to declare.

Mayo Clinic, Mayo Foundation, Rochester, MinnesotaPlatelets are believed to play an important role in the pathogenesis of atherosclerosis and thrombotic occlusive arterial disease. As part of a prospective study of peripheral occlusive arterial disease in diabetes mellitus, platelet survival half-life (PS) was determined in years 1 and 2 from the disappearance pattern of 51cr-labeled platelets obtained by measuring radioactivity in serial samples over 8 days in four groups of patients age 50-70. Using computer assisted least-square analysis, a single exponent is fitted to the data and half-life determined.Groups included (1) normal subjects (NC); (2) subjects with clinical and objective evidence (transcutaneous doppler ultrasound and treadmill exercise) of peripheral arterial occlusive disease (AS0); (3) subjects with diabetes mellitus without AS0 (DM); (A) subjects with both diabetes mellitus and AS0 (DM+AS0). 112 subjects were tested in year 1 and 75 of these were available for retesting in year 2.In year 1, there is a difference in the distribution of platelet survival (PS) for the four groups (p=.002). PS is significantly short in groups AS0 and DM+AS0 compared with controls (NC), Year 2 values for PS (75 subjects) were compared to year 1. Using the t test on mean differences PS for each group was not significantly different year 2 vs year 1; mean percent differences year 2 vs year 1 were 1.2% (NC), 0.2% (ASO), 3.2% (DM), and -9.3% (9-3% lower than year 1 for DM+ ASO).Platelet survival half-life (PS) does distinguish popula tion groups and is reproducible when repeated.

Distinguishing between in vitro and in vivo release of platelet specific proteins has led to problems in interpretation of clinical studies with PF4, and with BTG.As part of a prospective study of peripheral occlusive arterial disease in diabetes mellitus PF4 and BTG were measured together by specific radioimmunoassay in four groups of subjects age 50-70 years. Groups included (1) 106 normal subjects (NC); (2) 126 with clinical and objective evidence (transcutaneous doppler ultrasound and treadmill exercise) of peripheral arterial occlusive disease (ASO); (3) 244 with diabetes mellitus without ASO and (4) 101 with both diabetes mellitus and ASO.PF4 did not distinguish among the four groups: NC vs ASO p=. 18, NC vs DM p=.52, NC vs DM+ASO p=.73, NC vs all diabetics p=.61, and NC vs all ASO p=.46. However, BTG did distinguish the groups with vascular disease from NC: NC vs ASO p=.02, NC vs DM+ASO p<.001, NC vs DM p=.32, DM vs DM+ASO p<.01, all ASO vs all nonASO p<.001.Normal range for PF4 is 0-13 ng/ml with a median of 3.0 ng/ml, a mean of 3.0 ng/ml, and SD 1.97. Normal range for BTG is 14-46 ng/ml with a median of 26 ng/ml, a mean of 27.2 ng/ml, and SD 10.3. When PF4 and BTG are correlated (all groups included) r=.41 p<.001.PF4 and BTG levels should be performed together. When done together low PF4 levels support the absence of in vitro platelet release due to sample collection and handling. BTG levels are significantly increased in subjects with peripheral arterial disease, supporting the active role of platelets in thrombotic occlusive arterial disease.