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Record W1499934474

Novel anti-CD33 immunoconjugate demonstrating in vitro and in vivo activity against human acute myeloid leukemia (AML) cells.

2006· article· en· W1499934474 on OpenAlexaff
Nadia Chafika Hebib, Fannie Larochelle, Bob Lutz, John M. Lambert, Walter A. Blättler, Denis‐Claude Roy

Bibliographic record

VenueCancer Research · 2006
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsImmunoconjugateMyeloid leukemiaCytotoxic T cellCD33Clonogenic assayCancer researchCytotoxicityLeukemiaChemistryIn vivoAntigenHaematopoiesisStem cellMonoclonal antibodyAntibodyImmunologyIn vitroBiologyCD34Cell biologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Proc Amer Assoc Cancer Res, Volume 47, 2006 5558 Acute myeloid leukemia (AML) is in dire need of novel therapeutic agents. Immunoconjugates combine the ability to directly target AML cells and selectively deliver potent cytotoxic agents. In this study, we evaluated the activity of a novel immunoconjugate against human AML cells using both in vitro and in vivo assays. This immunoconjugate (AVE9633) consists of huMY9-6, a humanized monoclonal antibody that binds CD33 with high affinity, covalently linked to the maytansinoid DM4, a potent antimicrotubular cytotoxic agent. Importantly, CD33 is a glycoprotein expressed by AML cells from >80% of patients but is absent from the surface of normal hematopoietic stem cells. When first tested against the human AML cell line HL-60, AVE9633 was found to exert in vitro cytotoxicity in a dose-dependent manner and a 5-day incubation with 10−7 M AVE9633 resulted in more than 3 logs depletion as measured in a limiting dilution assay. The addition of unconjugated anti-CD33 antibody abrogated the cytotoxic effect, but not the isotype control antibody, confirming its specificity for the CD33 antigen. When primary AML cells from 15 patients were exposed to AVE9633, a dose-dependent response was observed in both short-term and long-term (LTC) clonogenic cell assays. The mean percent elimination of AML colony-forming cells reached 70 and 99% at 10−8 M and 10−7 M, respectively. Importantly, no primary AML cells were found to be resistant to AVE9633. In contrast, greater than 10% of normal bone marrow progenitors (both short-and long-term) treated at the highest concentration (10−7 M) of immunoconjugate survived, thus preserving a significant proportion of progenitors that could contribute to hematopoietic reconstitution. We further examined the activity of AVE9633 in 2 NOD-SCID xenograft models: (1) NOD-SCID mice bearing CD33+ HL-60 or CD33− NALM-6 cell line xenografts; (2) NOD-SCID mice implanted with primary human AML cells. Intravenous administration of AVE9633 at weekly intervals for 4 doses to mice bearing HL-60 xenografts resulted in complete eradication of HL-60 cells in 60% of animals, compared to 100% lethality in animals receiving monoclonal antibody alone or PBS. However, AVE9633 had no therapeutic effect in mice injected with the CD33 negative acute lymphoblastic leukemia cell line NALM-6. In addition, NOD-SCID mice inoculated i.v. with 10-20 × 106 AML blasts from 3 different patients and treated weekly with AVE9633 for 4 doses demonstrated a drastic reduction in AML burden at both 2 and 4 months post AML cell administration. Normal bone marrow engraftment was not significantly suppressed by such treatment suggesting that the immunoconjugate spared normal progenitors. Our data therefore demonstrate that AVE9633 has significant in vitro and in vivo activity against human AML cells and supports the development of clinical trials with this new immunoconjugate.

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 score0.004

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 head0.038
GPT teacher head0.359
Teacher spread0.321 · 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".

Quick stats

Citations1
Published2006
Admission routes1
Has abstractyes

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