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Record W2596175104 · doi:10.1182/blood.v126.23.87.87

Discovery and Functional Validation of Novel Pediatric Specific FLT3 Activating Mutations in Acute Myeloid Leukemia: Results from the COG/NCI Target Initiative

2015· article· en· W2596175104 on OpenAlexaff
Katherine Tarlock, Maria Hansen, Tiffany Hylkema, Rhonda E. Ries, Jason E. Farrar, Jaime Guidry Auvil, Daniela S. Gerhard, Malcolm A. Smith, Tanja M. Davidsen, Patee Gesuwan, Leandro C. Hermida, Marco A. Marra, Andrew J. Mungall, Karen Mungall, Yussanne Ma, Stuart Zong, William D. Long, Titus J. Boggon, Todd A. Alonzo, E. Anders Kolb, Alan S. Gamis, Soheil Meshinchi

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsCanada's Michael Smith Genome Sciences Centre
Fundersnot available
KeywordsMissense mutationMutationCogBiologyMyeloid leukemiaExome sequencingExomePoint mutationGeneticsCancer researchFms-Like Tyrosine Kinase 3LeukemiaGeneOncologyMedicine

Abstract

fetched live from OpenAlex

Abstract Mutations in the FLT3 gene are among the most common somatic events in AML, with a higher prevalence in adults than in children. The most common activating mutations of FLT3 include internal tandem duplications (FLT3/ITD) in the juxtamembrane domain (JMD) or missense mutations in the tyrosine kinase domain (TKD) at the D835/I836 positions (FLT3/ALM). To date, much of the data on FLT3 mutations has been derived from adult studies and comprehensive sequencing of the FLT3 gene from recent TCGA analysis demonstrated that FLT3 activating mutations were limited to the FLT3/ITD in the JMD and D835/I836 hotspots. As part of the Children's Oncology Group (COG)/NCI TARGET AML initiative, we interrogated the genomic landscape of pediatric AML and identified and verified novel FLT3 activating events that appear to be unique to childhood AML and could provide a target for therapeutic intervention. Whole genome sequencing was performed in a discovery cohort (N=200) followed by validation with targeted exome capture for a total of 799 diagnostic specimens from children treated on contemporary COG trials. In addition to the known FLT3 mutations (FLT3/ITD, N=128 and D835/I836, N=37), we identified novel point mutations (PM; N=49) and novel insertion-deletions (in-dels; N=12). We observed a prevalence of 7.6% of novel PMs and in-dels, in addition to the FLT3/ITD and D835/I836 mutations. The total prevalence of all FLT3 mutations was 28%. In contrast to adult AML, where virtually all non-ITD activating mutations are limited to the D835/I836 region, FLT3PMs in the pediatric cohort occurred in TKD domain (N=44), but commonly occurred in the transmembrane domain (TMD) and JMD. Twelve somatic mutations were identified at distinct positions within the JMD, the region involved in regulation of activity of the kinase. Among the JMD mutations, 9 occur at novel pediatric specific sites with significant activating potential (E573D/G, L576R, T582N, D586Y, Y589H, E596K/G, E598D, Y599C, D600G). Crystal structure analysis of FLT3 variants was used to assess the potential functional significance of the newly discovered variants. This structural modeling indicated that many of the mutations within the TMD (e.g. A680V) and TKD1 (L616R, M664I, M665L) were predicted to cause JMD destabilization, resulting in dysregulated activation of FLT3. Additionally, almost all JMD mutations have the potential to significantly disrupt the auto-inhibitory conformation, resulting in constitutive FLT3 activation. Mutations causing excessive activation of the kinase may have significant oncogenic capacity. In order to assess functional implications of the mutations, we cloned and expressed 6 of the most common novel variants (E573D, L576R, Y599C, D600G, F612L, and A680V) for functional assessment. Of the 6 mutations tested, 5 (E573D, L576R, Y599C, D600G, and A680V) resulted in auto-phosphorylation of FLT3, demonstrating dysregulated and enhanced kinase activation. Acquired mutations following tyrosine kinase inhibitor (TKI) exposure are heavily implicated in resistance and are almost exclusively confined to the two TKD regions, and the D835 position is a hotspot for resistance conferring mutations. It is important to identify patients at diagnosis who harbor dual mutations as this could indicate de novo resistance to TKIs, and exposure to these agents would have no efficacy, but may result in unnecessary toxicity. The presence of dual FLT3/ITD and FLT3/ALM mutations at diagnosis has been reported to occur at a very low prevalence. We analyzed the presence of co-occurring FLT3/ITDand FLT3 PMs in our pediatric cohort. Of the 128 patients with FLT3/ITD, 18 (14%) harbored a secondary FLT3 PM. Mutations in the JMD (N=8) and TMD (N=2) accounted for 56% of co-occurring mutations. Only 22% (N=4) mutations occurred at the D835/I836 sites, with an additional 22% (N=4) located at other TKD sites. Identified TKD diagnostic mutations included F612L, F616R, N676K/S, and N841K, a few which have only been reported in the setting of post TKI relapse. We identified novel pediatric specific FLT3 mutations with significant functional capacity. Importantly, these activating mutations may be uniquely susceptible to FLT3 inhibition and provide a therapeutic target in pediatric AML. Further work is ongoing to completely understand the oncogenic potential of each unique mutation and their prognostic and therapeutic implications. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.289
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations21
Published2015
Admission routes1
Has abstractyes

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