Putta, Santosh

Abstract Abstract 2739 Background: Internal tandem duplication mutations of the FMS-like tyrosine kinase 3 receptor (FLT3-ITD) are among the most frequent mutations in de novo acute myeloblastic leukemia (AML) and result in constitutive activation of the receptor tyrosine kinase. Based on data showing that these mutations negatively affect outcome in AML, FLT3 receptor kinase activity is currently being targeted in the clinic. To date, only FLT3 receptor mutant AML patients have been selected for trials involving FLT3 receptor kinase inhibitors, with surprisingly variable clinical responses. Downstream targets of FLT3 receptor activation, whether by receptor mutation or FLT3 ligand binding, involve Stat5, PI3-kinase/Akt and the Ras/Raf/Erk kinase signal transduction pathways which ultimately affect cell survival and proliferation. Functional characterization of those signaling pathways in mutated versus non-mutated FLT3 receptor (FLT3 -WT) myeloblasts has significant potential to reveal heterogeneity among these genetically defined subgroups and to predict for response to kinase inhibition, independent of FLT3 receptor mutation status. Methods: Modulated single cell network profiling (SCNP) was used to evaluate the activation state of intracellular signaling molecules (i.e. nodes), including phosphorylated (p)-Akt, p-Erk, p-S6, p-Stat5 and cleaved-PARP, at baseline and after treatment with specific modulators [including cytokines (such as IL-27) growth factors (such as FLT3 ligand) and drugs (such as cytosine arabinoside)] in 7 healthy bone marrow mononuclear blasts (BMMb) and leukemic myeloblasts, characterized for FLT3 receptor mutation status, from 44 AML patients (38 FLT-WT and 6 FLT3-ITD), aged >60 years (ECOG trial E3999). A total of 64 node-metrics were analyzed. Results: Signaling profiles differed significantly in FLT3-ITD vs. FLT3-WT AML, and in FLT3-WT vs. BMMb (shown in Figure 1 for a representative node, FLT3 ligand induced p-S6). Specifically, compared to BMMb, FLT3-ITD blasts uniformly showed increased basal p-Stat5 levels, decreased FLT3 ligand-induced activation of P13K and Raf/Ras/Erk pathways, minimal IL-27 induced activation of the Jak/Stat pathway, and higher apoptotic responses to DNA-damaging agents. Two AML samples harboring a low FLT3-ITD mutant burden, however, exhibited a signaling pattern similar to FLT3-WT AML samples. By contrast, FLT3-WT samples displayed heterogeneous signaling profiles, overlapping both with those of FLT3-ITD and BMMb samples, suggesting that a fraction of FLT3-WT AML samples exhibit FLT3 receptor pathway deregulation even without FLT3-ITD. Conclusions This study showed that SCNP, which provides a detailed view of intracellular signaling networks at the single-cell level, subclassified patients with AML beyond their molecularly determined FLT3 mutation status. In particular, a fraction of FLT3-WT AML samples signaled as if containing a FLT3 receptor length mutation while FLT3-ITD samples with low mutational load signaled like FLT3-WT AML samples. The clinical relevance of this observation, both for disease prognosis and response to kinase inhibitors, will be revealed only if AML patients are accrued to kinase inhibition trials irrespective of FLT3 receptor mutation status. The wide range of signaling responses observed in FLT3-WT AML suggests that disease across FLT3-WT patients is heterogeneous, likely promoted through distinct mutations and alterations, giving rise to distinct signaling profiles in individual patients Our data also provide evidence for the co-existence of differentially signaling blast populations in individual patients. The potential impact of signaling heterogeneity on clinical response needs to be assessed and may require an individualized combination of treatment modalities. Disclosure: Rosen: Nodality Inc.: Employment, Equity Ownership. Putta:Nodality Inc.: Employment, Equity Ownership. Gayko:Nodality Inc.: Employment, Equity Ownership. Cesano:Nodality Inc.: Employment, Equity Ownership.

Abstract Abstract 2695 Background: Age and cytogenetics are major determinants of outcome in older patients with AML. Complete response (CR) to induction chemotherapy is observed in less than half of de novo AML patients (excluding APL) older than 60 years. Because unfavorable treatment results are often obtained despite intensive chemotherapy, which carries the potential for significant treatment-induced morbidity and mortality, it would be valuable to be able to predict with high accuracy at the individual patient level who will achieve a CR. Prospective identification of patients unlikely to benefit from anthracycline/cytarabine-based chemotherapy could spare patients from unnecessary treatment-related toxicities and allow consideration for alternative therapeutic strategies. Single Cell Network Profiling (SCNP) is used to measure simultaneously the effects of multiple modulators (including drugs) on signaling cascades at the single cell level. Using SCNP technology we have developed a set of classifiers that predict for likelihood of response to anthracycline/cytarabine-based induction therapy in older patients with AML. Methods: SCNP assays were performed on paired, bone marrow (BM) and peripheral blood (PB), samples from 44 AML patients (de novo, evolved from an antecedent MDS or MPN or treatment related), >60 years old, enrolled on ECOG trial E3999. Based on two previous training studies, 38 combinations of modulators and intra-cellular proteins (signaling nodes along the phosphoinositide 3-kinase (P13K ), the Janus Kinases (Jak) signal transducers and activators of transcription (Stat) and the DNA damage response and apoptosis pathways) were investigated. Basal and modulated protein levels and the effect of modulation on proteins levels in the leukemic blast cells were expressed using a variety of metrics. A total of 64 node/metric combinations (dimensions) were used to build multi-parametric classifiers (ranging from 2 to 10 nodes/metrics) using different modeling methodologies (including random forest, boosting, lasso and a bootstrapped best subsets logistic modeling approach that shrinks regression coefficients (BBLRS)) able to predict the likelihood of response to induction therapy. The performance characteristics of the classifiers built on the BM samples were then evaluated independently on the paired PB samples. Results: Several promising models with high area under the operator/receiver curve (AUROC) values (indicating strong agreement between actual clinical responses and responses as predicted by the model) were developed based on SCNP proteomic read outs for BM samples. The observed and predicted values from the current best BBLRS model are shown in Figure 1. The unadjusted AUROC of this model is 0.98 and the expected AUROC for the model when applied to an independent (validation) sample is 0.84. Five signaling nodes are represented in this model; they include nodes belonging to growth factor- induced survival pathways (PI3K, RAS/MAPK) as well as DNA damage response and apoptosis pathways. When the predictive accuracy of the lead SCNP classifier was compared to that of a model based on traditional clinical/molecular predictors (i.e. the combination of age, therapy-related AML, and karyotype) the adjusted AUROC of the SCNP classifier far surpassed that of the clinical predictors (adjusted AUROC=0.61 for clinical/molecular predictors vs. adjusted AUROC= 0.84 for the SCNP classifier). Finally, when the nodes in the best BBLRS model developed on data from BM samples were used to model read outs from the paired PB samples, the adjusted AUROC of the resulting BBLRS model was comparable to that of the model fit to BM samples. Conclusion: This training set data show the value of performing quantitative SCNP under modulated conditions as the basis for developing highly predictive tests for response to induction chemotherapy. Most importantly, the predictions made by the SCNP classifier are independent of established prognostic factors, such as age and cytogenetics The ability of one set of nodes to accurately predict response in paired BM or PB samples from individual patients suggests that the predictive power of the SCNP assay is independent of sample source, further improving the practicality of the test. Independent validation studies are ongoing. Disclosures: Cesano: Nodality Inc.: Employment, Equity Ownership. Putta:Nodality Inc.: Employment, Equity Ownership. Gayko:Nodality Inc.: Employment, Equity Ownership. Hackett:Nodality Inc.: Consultancy. Rosen:Nodality Inc.: Employment, Equity Ownership.

Abstract Abstract 2693 Background: Single Cell Network Profiling (SCNP) is used to measure simultaneously the effects of multiple modulators (including drugs) on signaling cascades at the single cell level. Using this technology, ECOG in collaboration with Nodality is developing several novel biomarker assays with the aim to find blast functional signaling profiles predictive of response to induction therapy and risk of relapse in AML patients. To date, such assays utilized patient bone marrow (BM) as the sample source of blasts. However, in about 65% of patients with AML, circulating peripheral blasts are detected and peripheral blood (PB) sampling is easier and less invasive for patients than BM sampling. Objectives: The objective of this study was to compare by SCNP the functional effects of a panel of compounds simultaneously on different signaling pathways (such as the phosphoinositide 3-kinase (P13K )and the Janus Kinases (Jak) signal transducers and activators of transcription (Stat) pathway) relevant both to the biology of the disease and the development of new therapeutics, in paired, diagnostic, cryopreserved PB mononuclear cells (PBMC) and BMMC samples from 44 AML patients. A paired sample was defined as a BMMC and PBMC specimen collected from the same patient on the same day. Methods: Modulated SCNP using a multiparametric flow cytometry platform was used to evaluate the activation state of intracellular signaling molecules in leukemic blasts under basal conditions and after treatment with specific modulators (Table 1). The SCNP phosphoflow assay was performed on 88 BMMC/PBMC pairs from ECOG trial, E3999. The relationship between readouts of modulated intracellular proteins (“nodes”) between BMMC and PBMC was assessed using linear regression, Bland-Altman method or Lin's concordance correlation coefficient. Results: Table 1 shows the goodness of fit (R2) values from the linear regression analysis for both the basal levels and the modulated levels of intracellular signaling proteins. Most of the signaling nodes show strong correlations (R2 >0.64) with several of the exceptions belonging to nodes with weak response to modulation (e.g. SCF -> p-Akt) or antibodies with dim fluorphores (i.e. Alexa 647). The lack of response is however, consistent between the tissue types for the weak response nodes. Using a rank based metric that is less sensitive to the absolute intensity levels seem to perform better for the antibodies with dim fluorophores. Results from other methods; Bland Altman and Lin's Concordance also show good concordance between the tissue types. Conclusions: The data presented here demonstrate: 1) Specimen source (BM or PB) does not affect proteomic signaling in patients with AML and circulating blasts. 2) PB myeloblasts can be used as a sample source for Nodality SCNP assays to identify functionally distinct leukemic blats cell populations with distinct sensitivities to therapy. 3) The ability to use PB as a sample source will greatly improve the utility of these assays. In particular, our results will facilitate the monitoring of cellular signaling effects following the administration of targeted therapies, e.g., kinase inhibitors, at time-points when BM aspirates are not clinically justifiable. Disclosures: Cesano: Nodality Inc.: Employment, Equity Ownership. Rosen:Nodality Inc.: Employment, Equity Ownership. Putta:Nodality Inc.: Employment, Equity Ownership. Gayko:Nodality Inc.: Employment, Equity Ownership.