Determining the sensitivity of primary acute myeloid leukemia (AML) samples with FLT3-ITD or FLT3-D835 mutations to FLT3 inhibitors using an ex vivo drug sensitivity screen.

Authors

null

Mara Rosenberg

Oregon Health & Science University, Portland, OR

Mara Rosenberg , Guang Fan , Kevin Watanabe-Smith , Cristina Tognon , Brian J. Druker , Jeffrey Tyner , Marc Loriaux

Organizations

Oregon Health & Science University, Portland, OR

Research Funding

NIH

Background: AML has high molecular complexity and certain markers are predictors of overall survival. Mutations in FLT3-ITD, for example, lead to a poor prognosis with outcomes further worsened by co-occurring mutations in DNMT3A. Small molecule inhibitors have been developed to target a select number of these mutations such as Midostaurin on FLT3-ITD and FLT3-D835. However, the impact of the specific FLT3 mutation or the effect of co-occurring mutations in DNMT3A and NPM1 on drug sensitivity is not fully known. Methods: We identified 503 primary AML samples tested with an ex-vivo drug sensitivity screen that includes 130 small-molecule inhibitors and over 10 FLT3 inhibitors. Mononuclear cells were screened, metabolic viability assessed, and drug response summarized by area under the curve (AUC). Results: FLT3-ITD was the strongest indicator for response to FLT3 inhibitors (Table 1). Sensitivities were similar with DNMT3A and/or NPM1 co-mutations. Further, FLT3-D835 mutant samples showed no increased sensitivity to FLT3 inhibitors compared to non-FLT3 mutated samples. Conclusions: The similar ex-vivo drug sensitivity profiles inFLT3-ITD AML with or without DNMT3A and/or NPM1 mutations suggest co-treatment with FLT3 inhibitors will allow for improved overall survival in these cohorts. Additional clinical testing may further characterize the effect of FLT3-D835 mutations on targeted therapies and the impact of co-mutations. Some FLT3-ITD inhibitors showed increased potency compared to Midostaurin suggesting alternative treatment choices for select AML patients.

Mean AUC values (± confidence interval) for each drug by sample classification.

ClassificationQuizartinibKW-2449CabozantinibSorafenibSunitinibMidostaurin
ITD+37(±3)*55(±5)45(±4)*52(±4)55(±4)56(±4)
ITD+ / DNMT3A+36(±5)*55(±6)41(±7)*48(±7)54(±7)60(±7)
ITD+ / NPM1+35(±4)*52(±6)39(±5)*48(±5)53(±4)53(±6)
D835+46(±8)*70(±8)53(±11)59(±8)61(±8)69(±9)
FLT3-57(±2)*77(±2)67(±2)*73(±2)74(±2)75(±2)

*Drug AUC differs from Midostaurin (p < 0.001). Sample classification differs from FLT3 Negative cohort (p < 0.001).

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Hematologic Malignancies—Leukemia, Myelodysplastic Syndromes, and Allotransplant

Track

Hematologic Malignancies—Leukemia, Myelodysplastic Syndromes, and Allotransplant

Sub Track

Acute Leukemia

Citation

J Clin Oncol 36, 2018 (suppl; abstr 7025)

DOI

10.1200/JCO.2018.36.15_suppl.7025

Abstract #

7025

Poster Bd #

85

Abstract Disclosures

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