Kurtova, Antonina V.

Abstract Purpose Although CD49d is an unfavorable prognostic marker in chronic lymphocytic leukemia (CLL), definitive validation evidence is lacking. A worldwide multi-center analysis was performed using published and unpublished CLL series to evaluate the impact of CD49d as overall survival (OS) and treatment free survival (TFS) predictor. Patients and Methods A training/validation strategy was chosen to find the optimal CD49d cut-off. The hazard ratio (HR) for death and treatment imposed by CD49d was estimated by pooled analysis of 2,972 CLL, and Cox analysis stratified by center and stage was used to adjust for confounding variables. The importance of CD49d over other flow cytometry-based prognosticators (CD38, ZAP-70) was ranked by recursive partitioning. Results Patients with ≥30% of neoplastic cells expressing CD49d were considered CD49d+. The decrease in OS at 5 and 10-years among CD49d+ cases was 7% and 23% (decrease in TFS 26% and 25% respectively). The pooled HR of CD49d for OS was 2.5 (2.3 for TFS) in univariate analysis. This HR remained significant and of similar magnitude (HR=2.0) in a Cox model adjusted for clinical and biological prognosticators. Hierarchical trees including all cases, or restricted to early stage or patients ≤65 years, always selected CD49d as the most important flow-cytometry-based biomarker, with negligible additional prognostic information added by CD38 or ZAP-70. Consistently, by bivariate analysis, CD49d reliably identified patients' subsets with poorer outcome independent of CD38 and ZAP-70. Conclusions In this analysis of ∼3000 patients, CD49d emerged as the strongest flow cytometry-based predictor of OS and TFS in CLL. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding. Burger:Pharmacyclics: Research Funding.

Abstract Marrow stromal cells (MSCs) provide important survival and drug resistance signals to chronic lymphocytic leukemia (CLL) cells, but current models to analyze CLL–MSC interactions are heterogeneous. Therefore, we tested different human and murine MSC lines and primary human MSCs for their ability to protect CLL cells from spontaneous and drug-induced apoptosis. Our results show that both human and murine MSCs are equally effective in protecting CLL cells from fludarabine-induced apoptosis. This protective effect was sustained over a wide range of CLL–MSC ratios (5:1 to 100:1), and the levels of protection were reproducible in 4 different laboratories. Human and murine MSCs also protected CLL cells from dexamethasone- and cyclophosphamide-induced apoptosis. This protection required cell–cell contact and was virtually absent when CLL cells were separated from the MSCs by micropore filters. Furthermore, MSCs maintained Mcl-1 and protected CLL cells from spontaneous and fludarabine-induced Mcl-1 and PARP cleavage. Collectively, these studies define common denominators for CLL cocultures with MSCs. They also provide a reliable, validated tool for future investigations into the mechanism of MSC–CLL cross talk and for drug testing in a more relevant fashion than the commonly used suspension cultures.