Abstract

Abstract 1588

Poster Board I-614

Background

Mutations in the receptor tyrosine kinase (RTK) Fms-like tyrosine kinase 3 (FLT3) gene are among the most common somatic mutations in AML with FLT3 internal tandem duplications (ITDs) occurring in 20-35% of adult and 5-15% of pediatric AML. While the presence of FLT3 ITD mutation does not appear to influence outcome to induction chemotherapy, this mutation has been shown to confer a poor prognosis with significantly shorter disease free and relapse free survival. For patients with intermediate risk cytogenetically normal AML, molecular testing for FLT3 ITD has recently been incorporated into the National Comprehensive Cancer Network (NCCN) guidelines for clinical practice. However, while molecular testing can identify a subset of patients at high risk for relapse, there remains clinical heterogeneity likely due to differences in activation of signal transduction networks.

Objectives

This study tested the ability to use single cell network profiling (SCNP), in which cells are perturbed with extracellular modulators and their response ascertained by multiparametric flow cytometry, to identify a more clinically predictive functional readout of activation state, intracellular signaling capabilities and pathway dysregulation in the context of FLT3 mutational status.

Methods

Modulated SCNP was performed sequentially on two independent sets of patient samples (n=32 peripheral blood and n=85 bone marrow samples respectively). 304 and 201 “node-metric” i.e. modulated read outs of dynamic elements on individual proteins in signaling pathways were measured in the two sets respectively. These were derived from pathways known to be relevant to Flt3 WT and Flt3-ITD signaling (e.g. Ras-Raf-Erk-S6, PI3K-Akt-S6, STATs), as well as in-vitro chemotherapeutic induction of apoptosis (cleaved PARP, cleaved caspases), phosphatases, drug transporters (e.g. MDR-1, ABCG2) and expression of growth factor RTKs (e.g. Flt3R, c-Kit).

Results

In the first study, univariate analysis revealed 76 nodes out of 304 tested that distinguished FLT3 ITD from FLT3 WT patient samples (i.e. AUC of ROC >0.7; p<0.05). Analysis of false discovery rate showed this frequency to be significantly greater than the number of nodes that can be expected by chance (p=0.0009). Although several nodes were found to be correlated, many were independent of each other and represented multiple signaling pathways. Importantly, multivariate analysis showed that combinations of independently predictive nodes improved stratification over the single nodes (AUC of ROC up to 0.99) with respect to distinguishing WT and ITD FLT3 samples. Independent analysis of a second set of samples, revealed several nodes in common between the 2 studies which distinguish FLT3 ITD from WT, including etoposide/c-PARP (apoptosis), IL-27/p-STAT3, 5 (JAK/STAT pathways) and Flt3L/p-S6 (Ras/Erk/mTOR/S6 or PI3K/mTor/S6 pathways). In both sample sets, Flt3 receptor expression did not differ significantly between FLT3 ITD and FLT3 WT samples.

Conclusions

Pathway analysis by SCNP revealed significant differences in signaling in FLT3 ITD relative to WT AML samples across multiple pathways. We propose that a functional signature of FLT3 signaling is distinct from the existing molecular typing and may improve the ability to predict prognostic outcomes in individual AML patients. The impact of other important prognostic, molecular markers within the FLT3 context (e.g. NPM1) are currently under investigation.

Disclosures

Kornblau:Nodality, Inc.: Consultancy. Rosen:Nodality, Inc.: Employment, Equity Ownership. Cleary Cohen:Nodality Inc.: Employment, Equity Ownership. Gayko:Nodality, Inc.: Employment, Equity Ownership. Putta:Nodality, Inc.: Employment, Equity Ownership. Woronicz:Nodality, Inc.: Employment, Equity Ownership. Fantl:Nodality, Inc.: Employment, Equity Ownership. Cesano:Nodality, Inc.: Employment, Equity Ownership.

Author notes

*

Asterisk with author names denotes non-ASH members.