Predictive phosphoproteomic signatures for midostaurin plus chemotherapy response in FLT3 mutant positive acute myeloid leukaemia.

Authors

Arran David Dokal

Arran David Dokal

Kinomica Limited, Macclesfield, United Kingdom

Arran David Dokal , Andrea Arruda , Ryan Smith , Calum Greenhalgh , Francesca Patella , Pedro Maria Casado-Izquierdo , Bela Wrench , Jane Theaker , Andrew Thompson , Mark D. Minden , John G. Gribben , David James Britton , Pedro Rodriguez Cutillas

Organizations

Kinomica Limited, Macclesfield, United Kingdom, Princess Margaret Cancer Centre, Toronto, ON, Canada, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom, Biohub Alderley Park, Macclesfield, United Kingdom, Princess Margaret Hospital, University Health Network, Toronto, ON, Canada, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom

Research Funding

Other Government Agency
Innovate UK, UK Research and Innovation, Pharmaceutical/Biotech Company

Background: Midostaurin is approved for FLT3 mutant-positive (FLT3+) acute myeloid leukemia (AML), however efficacy has also been observed in a subpopulation of FLT3 mutant-negative AML, suggesting that FLT3 mutation is not the only determinant in conferring midostaurin sensitivity. We previously described a phosphoproteomic signature significantly elevated in primary AML blasts that responded to midostaurin ex vivo (Casado et al Leukaemia 2018). This signature includes phosphorylation sites on protein kinase C delta (a midostaurin off-target) and its substrate GSK3A. In this study, we tested whether these phospho-signatures could group FLT3+ patients based on clinical responses to midostaurin plus chemotherapy. Methods: We obtained FLT3+ bone marrow (BM) and peripheral blood (PB) diagnosis specimens (n=56 cases) from the Leukemia Tissue Bank at Princess Margaret Cancer Centre. These patients were treated with standard chemotherapy plus midostaurin. Phospho-signatures quantified using mass spectrometry were analysed with a classification machine learning algorithm to group patients based on response to treatment as a function of phospho-signature status. Other features (e.g. genetic mutations, HSC-transplant) were also analysed. Differential survival analysis was carried out with Kaplan-Meier and Log Rank test methods. Phospho-signatures for BM and PB samples were analysed independently. Results: A first ML model was developed based on the signature described in the Casado et al study. Patients positive for this signature exhibited a survival probability of 243 weeks, compared to 126 weeks in signature negative patients (averages by geometric mean, Log Rank p = 9.88e-05). As the patients in the current study received chemotherapy, in addition to midostaurin, we also identified a new signature consisting of 26 phospho-sites (model 2), which partially overlapped with the first model. Patients positive for model 2 signature showed a markedly longer survival time than negative patients (269 vs 76 weeks, Log Rank p = 1.30e-05 for PB and 241 vs 56, Log Rank p = 2.13e-09 for BM specimens, Table). No other features separated survival as clearly as model 2. Conclusions: We have identified phospho-signatures with the potential to further stratify FLT3+ AML for midostaurin treatment. The presence of PRKCD signalling components in signatures provides a rationale for midostaurin activity in sensitive cases. Analysis will also be performed on FLT3 mutant-negative cases to validate the signature in this group.


Signature
Cases
Events
Geometric Mean
SE
Median
PB samples
Negative
9
6
76
42
26

Positive
25
2
269
15
ND*
BM samples
Negative
16
12
56
27
26

Positive
37
6
241
20
ND*

Disease free survival in weeks as a function of model 2 phospho-signature. * Kaplan-Meier curves did not reach 50% reduction in disease free survival.

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Abstract Details

Meeting

2021 ASCO Annual Meeting

Session Type

Poster Discussion Session

Session Title

Hematologic Malignancies—Leukemia, Myelodysplastic Syndromes, and Allotransplant

Track

Hematologic Malignancies

Sub Track

Acute Leukemia

Citation

J Clin Oncol 39, 2021 (suppl 15; abstr 7019)

DOI

10.1200/JCO.2021.39.15_suppl.7019

Abstract #

7019

Abstract Disclosures