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Record W2988727246 · doi:10.1182/blood-2019-128678

Preclinical Development of an Actinium-225-Labeled Antibody Radio-Conjugate Directed Against CD45 for Targeted Conditioning and Radioimmunotherapy

2019· article· en· W2988727246 on OpenAlexaff
Dale L. Ludwig, Ruth Bryan, Wojciech Dawicki, Eileen M. Geoghegan, Qing Liang, Sandesh Seth, Mamata Gokhale, Mark S. Berger, Vijay Reddy, Ravendra Garg, Kevin J. Allen, Ekaterina Dadachova

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRadioimmunotherapyMonoclonal antibodyAntibodyCancer researchBiodistributionMultiple myelomaBone marrowChemistryMedicineImmunology

Abstract

fetched live from OpenAlex

Introduction: Radiolabeled CD45 antibodies have demonstrated clinical promise as targeted conditioning treatments prior to bone marrow transplant (BMT) as a better tolerated and potentially more effective alternative to harsh chemotherapy and/or total body irradiation regimens for myeloablative conditioning. CD45 is expressed on all immune cells, including hematopoietic stem cells and both precursor and mature lymphoid and myeloid cells, with an average copy number up to 200,000 molecules per cell, making it an ideal antigen for directing targeted radiation for conditioning. It is also highly expressed on most lymphomas and leukemias, and approximately 50% of multiple myeloma, further offering the potential for mediating a substantial anti-tumor effect in treated patients. We describe the preclinical development of a novel anti-CD45 antibody radio-conjugate (ARC) that harnesses the power of alpha radiation by arming the pan-CD45 antibody BC8 with Actinium-225 (225Ac). 225Ac is a potent radionuclide with high linear energy transfer (80-100 keV/μm) yet short path length (50-80 μm) to deliver significantly more lethal double strand DNA breaks per alpha track than beta particles. In addition, the use of 225Ac for targeted conditioning has advantages of safe handling and ease of use and a long 10 day half-life that enables flexibility in preparation and use. Methods and Results: To generate 225Ac-BC8, the monoclonal antibody was first conjugated with the DOTA chelator, then labeled with 225Ac, achieving a labeling efficiency typically greater than 80%. 225Ac-BC8 was subsequently purified to high radiochemical purity by column chromatography. Using human CD45+ Ramos lymphoma cell line and EL4 as negative control, 225Ac-BC8 was shown to be stable and retain selective immunoreactivity following conjugation and labeling. To evaluate the anti-tumor potency of 225Ac-BC8, two CD45+ human multiple myeloma (MM) cell lines with high or low relative CD45 antigen density, U266 and H929, respectively, (Collette, et al. 2007) were tested by cell cytotoxicity assay. Following transient exposure (4 or 12 hours) to 225Ac-BC8, the ARC demonstrated potent dose-dependent MM cell killing 72 hours post-treatment, achieving greater than 90% cytotoxicity of both cell lines. To further assess the therapeutic potential of 225Ac-BC8, its anti-tumor activity was tested in subcutaneous (s.c.) xenograft models of H929 and U266. NOD-SCID mice bearing established s.c. tumors were randomized to receive a single dose of 300 nCi of 225Ac-BC8, 300 nCi of an irrelevant radio-conjugate 225Ac-18B7, naked BC8 antibody, or no treatment control. In both models, 225Ac-BC8 exerted complete and durable tumor control for the duration of study. None of the control groups exhibited any anti-tumor effect. Studies to evaluate 225Ac-BC8 in models of CD45+ lymphoma are ongoing. Since BC8 does not cross-react with mouse CD45 and only weakly with macaque CD45, biodistribution, dosimetry and imaging analysis was performed in mice using radio-labeled anti-mouse pan-CD45 surrogate antibody 30F11. SPECT/CT imaging and biodistribution was performed with 111In-labeled 30F11. Following IV administration, 111In-CD45 (30F11) rapidly cleared from the blood and accumulated in immune system organs including spleen, bone marrow, and lymph node. Dosimetry calculations for 225Ac-CD45 (30F11) were determined for absorbed dose to target organs. Only modest uptake was noted in the kidney, but significant uptake occurred in liver, the major site for catabolism of full-length antibodies. 225Ac-CD45 (30F11) is a useful molecule to study the tolerability and myeloablative properties of 225Ac-CD45 antibody for targeted conditioning prior to donor BMT, using B6-Ly5b donor cells in B6-Ly5a mice. Results of ongoing studies will also be presented. Conclusions: The pan-CD45 antibody BC8 was shown to be efficiently conjugated and labeled with the potent alpha emitter 225Ac to mediate robust and selective killing of CD45+ MM cells and xenografts. Biodistribution analysis confirmed selective uptake into organs of the immune system including homing to BM. Supported by ongoing myeloablative/BM reconstitution studies, these preclinical data support the development of 225Ac-BC8 as a novel potent and safe targeted conditioning approach for BMT. Reference: Collette, et al., (2007). Eur. Cytokine Netw. 18:120-126. Disclosures Ludwig: Actinium Pharmaceuticals: Employment, Equity Ownership. Dawicki:Actinium Pharmaceuticals: Research Funding. Geoghegan:Actinium Pharmaceuticals: Employment. Liang:Actinium Pharmaceuticals: Employment. Seth:Actinium Pharmaceuticals: Employment, Equity Ownership. Gokhale:Actinium Pharmaceuticals: Employment. Berger:Actinium Pharmaceuticals, Inc: Employment, Equity Ownership. Reddy:Actinium Pharmaceuticals: Employment. Dadachova:Actinium Pharmaceuticals: Consultancy, Research Funding; RadImmune Therapeutics: Consultancy, 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 score0.005

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 head0.024
GPT teacher head0.353
Teacher spread0.329 · 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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Citations3
Published2019
Admission routes1
Has abstractyes

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