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Record W2582642816 · doi:10.1182/blood.v116.21.968.968

MicroSPECT/CT Imaging of Human Leukemia Engraftment In NOD-Scid Mice Using [111In]-Labeled 7G3 Anti-CD123 Antibodies

2010· article· en· W2582642816 on OpenAlexaff
Jeffrey V. Leyton, Catherine A. Gao, Meiduo Hu, John E. Dick, Mark D. Minden, Raymond M. Reilly

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsRadioimmunotherapyCancer researchLeukemiaStem cellHaematopoiesisNodMonoclonal antibodyImmunologyBone marrowInterleukin-3 receptorAntibodyMedicineBiologyChemistryMolecular biologyIn vivoCell biology

Abstract

fetched live from OpenAlex

Abstract Abstract 968 Radioimmunotherapy (RIT) of acute myelogenous leukemia (AML) is a promising strategy that could improve the long-term outcome of patients. A limitation of current therapies is their inability to eradicate the leukemic stem cell (LSC), which is responsible for causing and propagating the disease and the failure to achieve long-term survival. Monoclonal antibody (mAb) 7G3 recognizes CD123 (IL-3R α) in the absence of CD131 (IL-3R β) a LSC characteristic but not of normal hematopoietic stem cells. Our laboratory is developing 111In-labeled 7G3 modified with nuclear localization sequence (NLS) peptides for Auger electron RIT of AML aimed at the LSC. These electrons have only nanometer-micrometer range but are lethal when released inside the cell nucleus. Our objective was to examine the ability of 111In-NLS-7G3 to localize at sites of AML engraftment in NOD-scid mice taking advantage of the concurrent gamma emissions of 111In for microSPECT/CT imaging. These properties were examined in NOD-scid mice engrafted with CD123+/CD131- AML cell lines which avoids the challenges of engrafting primary AML specimens including their variability in engraftment efficiency and heterogeneity in CD123 expression. Alternatively, mice bearing s.c. CD123-transfected Raji (Raji-CD123) tumors were studied. 7G3 was reacted with sulfo-SMCC to introduce maleimide groups for conjugation to NLS peptides (CGYGPKKKRKVGG) then directly derivatized with DTPA for complexing 111In. The pharmacokinetics (PK) of elimination from the blood of 111In-NLS-7G3 intact IgG2a and F(ab’)2 fragments were studied in NOD-scid and Balb/c mice. The effect of pre-administration of a 10-fold excess of unlabeled BM4 IgG2a or IgG1 irrelevant mAbs on the PK was assessed. Imaging and biodistribution studies were performed at 48 to 72 h p.i. of 111In-NLS-7G3 IgG2a and F(ab’)2 in AML-engrafted mice. Sites of engraftment visualized on the images were analyzed for AML by flow cytometry. PK studies revealed an unusually rapid elimination of 111In-NLS-7G3 IgG2a but not F(ab’)2 in NOD-scid compared to Balb/c mice with blood radioactivity levels at 18 h 4-fold lower (3.9 ± 0.9 vs. 17.0 ± 4.4% i.d./ml, respectively). This rapid elimination prevented uptake into Raji-CD123 xenografts and did not allow their visualization by microSPECT/CT. The elimination of 111In-NLS-7G3 F(ab’)2 was not significantly different in NOD-scid or Balb/c mice (0.60 ± 0.17 vs. 0.87 ± 0.06 %i.d./ml, respectively at 72 h p.i.). Pre-administration of unlabeled BM4 improved the retention of 111In-NLS-7G3 in the blood by 3.2-fold and allowed for high uptake (14.7 ± 2.8 % i.d./g) and imaging of tumors. Xenografts also had high uptake (7.2 ± 3.8 % i.d./g) and imaged with 111In-NLS-7G3 F(ab’)2. AML-3, -4 and -5 cells engrafted into bone marrow (BM) and NOD-scid mice assessed by the proportion of CD45+ cells (12%, 0.5% and 63%, respectively). CD45+ cells in the spleen for AML-5 engraftment was 83%. Uptake of 111In-NLS-7G3 F(ab’)2 in the spleen and BM of AML-3 engrafted mice were 5-fold and 1.5-fold higher than 111In-NLS-BM4 control F(ab’)2. The spleen was visualized by microSPECT/CT in engrafted mice receiving 111In-NLS-7G3 F(ab’)2 but not with 111In-NLS-BM4 F(ab’)2. In AML-3 engrafted mice imaged with 111In-NLS-7G3 IgG2a, multiple intense foci of radioactivity were noted in the spine, pelvis and femur, representing leukemia in the marrow. Extramedullary (EM) disease was also imaged in the brain and lymph nodes. Uptake in the femur was 2-fold higher in engrafted mice compared to non-engrafted mice. In AML-5 engrafted mice, outgrowths of AML at the femoral heads was imaged with 111In-NLS-7G3 IgG2a following pre-administration of an excess of unlabeled BM4. No visualization of these AML growths was noted for mice receiving 111In-NLS-BM4. We conclude that microSPECT/CT allowed sensitive detection of the specific uptake of 111In-NLS-7G3 and its F(ab’)2 fragments in AML engrafted mice. PK and Raji-CD123 xenograft microSPECT/CT studies identified a tumor delivery barrier. A robust AML engraftment model was established with cells displaying the CD123+/CD131- phenotype. These results are promising for preclinical evaluation of 111In-NLS-7G3 for Auger electron RIT of AML and suggest that imaging is a useful tool to assess engraftment in NOD-scid mice as well as for evaluating response to 111In-NLS-7G3. Preliminary results of studies to examine 111In-NLS-7G3 for RIT of AML will also be presented. 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 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.333
Teacher spread0.312 · 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
Published2010
Admission routes1
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