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AGS62P1, a Novel Anti-FLT3 Antibody Drug Conjugate, Employing Site Specific Conjugation, Demonstrates Preclinical Anti-Tumor Efficacy in AML Tumor and Patient Derived Xenografts

2015· article· en· W2586275027 on OpenAlexaff
Nandini Rudra-Ganguly, Christine Lowe, Cyrus Virata, Monica Leavitt, Liqing Jin, Brian A. Mendelsohn, Josh Snyder, Héctor Aviña, Chunying Zhang, Deanna L. Russell, Michael Mattie, Peng Yang, Baljinder Randhawa, Gao Liu, Faisal Malik, Misty Vest, Joseph D. Abad, Christopher C. Kemball, René Hubert, Sher Karki, Banmeet S. Anand, Zili An, Jeanette L. Grant, John E. Dick, Fernando Doñate, Kendall Morrison, Pia M. Challita-Eid, Ingrid B.J. Joseph, Daniel S. Pereira, David R. Stover

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsTyrosine kinaseCancer researchCytotoxic T cellMonoclonal antibodyReceptor tyrosine kinaseAntibody-drug conjugateAntibodyBiologyMedicineIn vitroImmunologyReceptorInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract FLT3 (FMS-like tyrosine kinase 3) is a member of the class III receptor tyrosine kinase family, which is highly expressed in the blasts of both AML and ALL patients. In addition to FL ligand stimulation, FLT3 can also be activated by two distinct clusters of mutations: internal tandem duplications (FLT3/ITDs) in 20% to 25% patients and point mutations at position D835 in the tyrosine-kinase domain (FLT3/TKD) in 7% to 10% patients. FLT3 tyrosine kinase inhibitors (TKI) are mainly active against FLT3 mutant AML. An antibody drug conjugate (ADC), directed against the extracellular domain of FLT3 may only require FLT3 cell surface expression independent of mutation status. The restricted cellular distribution of FLT3 receptor and a higher expression in AML than in normal bone marrow makes FLT3 a favorable ADC target. Therefore, this ADC based strategy may offer a therapeutic alternative for AML patients independent of FLT3 status. Here, we report the preclinical assessment of a novel FLT3 targeting ADC, AGS62P1. AGS62P1 consists of a human anti-FLT3 monoclonal antibody, site specifically conjugated to a potent cytotoxic payload. FLT3 expression is confirmed in a large panel of AML and ALL tumor cells as well as in AML patient specimens via flow cytometry. The anti-leukemic activity of AGS62P1 was evaluated against AML and ALL tumor cell lines, in vitro and in vivo. AGS62P1 demonstrated strong binding affinity (0.1-0.5 nM) and potent cytotoxic activity in FLT3/ITD and Non-ITD tumor models, in vitro. Cytotoxic IC50 potency for AGS62P1 was 0.5-13 nM in FLT3/ITD and 0.2-12 nM in FLT3 non-ITD models. A fluorescence based assay confirmed that AGS62P1 is rapidly internalized in AML tumor cell lines. AGS62P1 is highly efficacious in FLT3/ITD and non-ITD tumor xenografts, leading to significant tumor growth inhibition or complete tumor regression. In primary AML patient xenograft drug treatment studies, the engraftment and outgrowth of 5/6 samples were significantly reduced when treated with AGS62P1. Taken together our data demonstrate that AGS62P1 exhibits potent antitumor activity against a broad panel of AML tumor models and primary AML samples, regardless of FLT3 status. We believe AGS62P1 may be an effective and alternative therapeutic for AML patients, which can bypass the TKI mediated resistance and deliver target specific effect through a different mode of action. Disclosures Jin: Agensys: Research Funding. Anand:Agensys: Employment. Dick:Agensys: Research Funding.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.329
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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Citations17
Published2015
Admission routes1
Has abstractyes

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