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Synthetic Anti-IL3 Receptor Antibodies As Therapeutics to Block Innate Imatinib Resistance in Chronic Myelogenous Leukemia

2014· article· en· W2578525969 on OpenAlexaff
Mahsa Abrishami, Landon Pastushok, Karen Mochoruk, John F. DeCoteau, C. Ronald Geyer

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsChronic myelogenous leukemiaImatinib mesylateBiologyAntibodyCancer researchImmunologyImatinibLeukemiaMyeloid leukemia

Abstract

fetched live from OpenAlex

Abstract Chronic myelogenous leukemia (CML) is maintained by a minor population of leukemic stem cells (LSCs) that exhibit innate resistance to tyrosine kinase inhibitors (TKIs) targeting BCR-ABL. Innate resistance can be induced by cytokines and growth factors secreted by bone marrow stromal cells that protect CML-LSCs from TKIs, resulting in minimal residual disease. Developing therapies that can be combined with TKIs to eradicate TKI-insensitive CML-LSCs, is critical for disrupting innate TKI resistance and preventing disease relapse. We previously showed that interleukin-3 (IL-3) reduces the sensitivity of CML cells to BCR-ABL TKIs. Based on this, we hypothesized that inhibiting IL-3 receptor (IL-3R) would reduce the innate resistance of CML cells to BCR-ABL TKIs. We generated IL-3R inhibitors using synthetic human antibody technology. We constructed combinatorial libraries of human antibody antigen binding fragments (Fabs) using a single-framework synthetic Fab based on the optimized human 4D5 Fab framework that is derived from one of the most frequently used light chain (Vκ1-1) and heavy chain (VH3-23) germline sequences. We generated the Fab library by randomizing amino acids in the Fab heavy-chain complementarity regions (CDRs) and the L3 CDR of the light chain. In CDRs H1 and H2, solvent-accessible positions were softly randomized with binary degenerate codons that encode equal proportions of two amino acids, mostly tyrosine and serine. CDRs L3 and H3 were randomized using codon mixes that encoded pre-defined proportions of nine amino acids (Y (25%), S (20%), G (20%), A (10%), F (5%), W (5%), H (5%), P (5%) or V (5%)). CDR H3 contain different lengths ranging form 1 to 17 amino acids and CDR L3 contained different lengths ranging form 3 to 7 amino acids. Oligonucleotide directed mutagenesis was used to generate a combinatorial Fab library of 1010 members, where CDRs H1-3 and CDR L3 of the 4D5 Fab were replaced with the above amino acid combinations. The Fab library was expressed in E. coli as a fusion to the PIII coat protein of M13 filamentous phage. The Fab phage library was screened for interactions against the ectodomain of murine IL-3R (aa17-331). After four rounds of phage display selections, we analyzed CDR-H3 sequences in the Fab phage pool using the Ion Torrent Next Generation sequencing (NGS) platform. We chose the most abundant Fab to further mature by “softly” randomizing CDRs H1-3 and L3, where each codon was mutated to contain 70% of the wild-type nucleotide and 10% of each of the other three nucleotides. After three rounds of phage display selection, we analyzed the Fab phage pools by NGS and chose the most abundant Fab to convert to the IgG1 format. Dissociation constants for the IgGs generated from the original selection and the affinity maturation were 1.3x10-8 nM and 1.1x10-9 nM, respectively. The specificity of IL-3R antibodies was demonstrated by showing that they bound to HEK293 cells transiently transfected with IL-3R receptor and not to untransfected HEK293 cells. To investigate IL-3R antibody effects on IL-3 mediated innate TKI resistance, we compared its activity with imatinib against TonB210, a murine hematopoietic cell line with inducible BCR-ABL expression, in response to IL-3. Imatinib did not suppressed BCR-ABL(+) Ton-B210 growth, and IL-3 protected against imatinib growth suppression. IL-3R antibody suppressed the ability of IL-3 to block imatinib activity of BCR-ABL(+) TonB210 cells. We then compared effects of IL-3R antibody as a single agent, and in combination with imatinib, on the growth of CML-LSCs derived from an established murine retroviraltransduction/transplantation model of CML blast crisis, in response to IL-3. The presence of IL-3 reduced cytotoxicity, apoptosis induction, and colony formation by imatinib. Treatment with IL-3R antibody reduced the protective effect of IL-3 in these assays. In summary, our findings demonstrate that synthetic human antibodies against IL-3R can effectively block IL-3 mediated innate TKI resistance in in vitro assays and suggest that IL-3R antibodies may be effective as a co-drug to complement TKIs in CML treatment by disrupting the innate resistance of CML-LSCs. Interestingly, the human IL3-R antibodies isolated against murine IL-3R by phage display also recognize human IL-3R, suggesting they recognize a conserved epitope and that they may also be useful in developing human therapies. Disclosures No relevant conflicts of interest to declare.

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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 score0.003

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 integrity0.0000.000
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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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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Citations0
Published2014
Admission routes1
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