All content on this site is intended for healthcare professionals only. By acknowledging this message and accessing the information on this website you are confirming that you are a Healthcare Professional. If you are a patient or carer, please visit Know AML.
Introducing
Now you can personalise
your AML Hub experience!
Bookmark content to read later
Select your specific areas of interest
View content recommended for you
Find out moreThe AML Hub website uses a third-party service provided by Google that dynamically translates web content. Translations are machine generated, so may not be an exact or complete translation, and the AML Hub cannot guarantee the accuracy of translated content. The AML Hub and its employees will not be liable for any direct, indirect, or consequential damages (even if foreseeable) resulting from use of the Google Translate feature. For further support with Google Translate, visit Google Translate Help.
The AML Hub is an independent medical education platform, sponsored by Daiichi Sankyo, Jazz Pharmaceuticals, Kura Oncology, Roche and Syndax and has been supported through a grant from Bristol Myers Squibb. The funders are allowed no direct influence on our content. The levels of sponsorship listed are reflective of the amount of funding given. View funders.
Bookmark this article
During the 62nd American Society of Hematology (ASH) Annual Meeting and Exposition, Ahmad Alotaibi presented a retrospective analysis that demonstrated patterns of secondary resistance differ between patients treated with type I and type II FLT3 inhibitors.1 The data were also recently published in the journal Blood Cancer Discovery,2 and are summarized below.
Type I and type II FMS-like tyrosine kinase 3 inhibitors (FLT3i) vary in their ability to bind to active or inactive receptor conformations and different types of FLT3 mutations. Type I FLT3i, such as gilteritinib, midostaurin, and crenolanib, bind to the active receptor conformation and have activity against internal tandem duplication (ITD) and tyrosine kinase domain (TKD) mutations. Whereas type II FLT3i, such as quizartinib, sorafenib, and ponatinib, only bind to the inactive conformation and have no activity against FLT3-TKD mutations.1,2
FLT3i have demonstrated improved survival for patients with FLT3-mutated AML in both the frontline and relapsed/refractory (R/R) setting. Indeed, midostaurin is approved for newly diagnosed patients in combination with standard chemotherapy in the U.S. and Europe. However, the duration of response remains short at 4–14 months and is frequently influenced by the emergence of mutations that drive secondary resistance, including on-target mutations of the TKD, or off-target mutations involved in parallel pro-survival signaling pathways such as RAS-MAPK.1,2
Understanding how mutation profiles change from pre- to post-FLT3i treatment could help with designing strategies to overcome or minimize resistance. Assessing mutational profiles and variant allele frequencies (VAFs) from primary resistance patients against those who respond and then relapse may help the understanding of FLT3i failure and identify patients that would benefit from combinatorial approaches. 1,2
Table 1. Baseline characteristics of the secondary resistance cohort1
allo-HSCT, allogenic hematopoietic stem cell transplant; AML, acute myeloid leukemia; FLT3i, FMS-like tyrosine kinase 3 inhibitors; MDS, myelodysplastic syndromes; MPN, myeloproliferative neoplasms; R/R, relapsed/refractory. |
|
Characteristics |
n = 67 |
---|---|
Median age, years (range) |
62 (19–85) |
Male/female, % |
48/52 |
Type of AML, % |
|
De novo |
78 |
Secondary (post MDS/MPN) |
18 |
Therapy related |
4 |
Cytogenetics, % |
|
Diploid karyotype |
64 |
Adverse risk |
21 |
Others |
15 |
Median no. of mutations at baseline (range) |
4 (1–9) |
Frontline patients, % |
42 |
R/R patients, % |
58 |
Median prior therapies for R/R, n (range) |
2 (1–5) |
Prior therapies for R/R, % |
|
Intensive chemotherapy |
76 |
Allo-HSCT |
18 |
FLT3i |
46 |
Details of the therapies received can be seen in Table 2.
Table 2. FLT3i treatment for the primary and secondary resistance cohorts1,2
Rx, rituximab therapy; FLT3i, FMS-like tyrosine kinase 3 inhibitors. |
||
Treatment |
Secondary resistance cohort (n = 67) |
Primary resistance cohort (n = 106) |
---|---|---|
FLT3i + low-intensity Rx, % |
64 |
74 |
FLT3i + intensive Rx, % |
33 |
20 |
Single agent FLT3i, % |
5 |
26 |
Type II FLT3i-based, % |
69 |
54 |
Sorafenib, % |
58 |
42 |
Quizartinib, % |
11 |
11 |
Type I FLT3i-based, % |
31 |
46 |
Gilteritinib, % |
18 |
5 |
Midostaurin, % |
10 |
12 |
Crenolanib, % |
3 |
29 |
In the secondary resistance cohort:1,2
Figure 1. Emergent mutations in the secondary resistance cohort in patients treated with type I/II FLT3 inhibitors (FLT3i)2
The majority of patients that responded to FLT3i and relapsed (secondary resistance) developed treatment-emergent mutations, including on-target mutations in FLT3, and off-target mutations in epigenetic modifiers, RAS/MAPK pathway, WT1, and TP53.
Patients treated with type I or type II FLT3i developed different types of emergent mutation. For those treated with type II FLT3i, FLT3-D835 was the most common emergent mutation, whereas emergent RAS/MAPK pathway mutations were more common for those treated with type I FLT3i. Both types of emergent mutation were also associated with an inferior survival. This suggests leukemic cells may exploit distinct yet potentially predictable secondary pathways of resistance depending on the type of FLT3i used.
There were several limitations to this study. The analysis was comprised of heterogenous FLT3i-based combinations, and therefore the data may not be directly applicable to single-agent based therapies. The next-generation sequencing platform could only detect > 1% mutated alleles, hence small subclones may have been missed pretherapy and may have also expanded post therapy to be detected as an emergent mutation instead of a clonal expansion. Furthermore, the results may reflect a selection bias for patients who had a mutational analysis available, as the original clinical trial designs did not mandate an end-of-treatment mutational analysis.
Your opinion matters
Subscribe to get the best content related to AML delivered to your inbox