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Preclinical Comparison of [ <sup>111</sup> In]In- and [ <sup>225</sup> Ac]Ac-DOTA-Trastuzumab IgG, F(ab′) <sub>2</sub> and Fab for Theranostic SPECT/CT Imaging and α-Particle Radioimmunotherapy of HER2-Positive Human Breast Cancer

2024· article· en· W4405317157 on OpenAlexafffund
Misaki Kondo, Zhongli Cai, Conrad Chan, Madeline K. Brown, Raymond M. Reilly

Bibliographic record

VenueMolecular Pharmaceutics · 2024
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
FundersLeslie Dan Faculty of Pharmacy, University of TorontoCanadian Institutes of Health ResearchUniversity of TorontoPfizer CanadaTerry Fox FoundationRochePfizer
KeywordsRadioimmunotherapyDOTANuclear medicineTrastuzumabRadiochemistryMedicineMedical physicsChemistryMonoclonal antibodyCancerChelationAntibody

Abstract

fetched live from OpenAlex

Radioimmunotherapy (RIT) with α-particle-emitting, 225 Ac complexed to trastuzumab may offer an alternative treatment for patients who progress on HER2-targeted therapies. Moreover, RIT with [ 225 Ac]Ac-DOTA-trastuzumab could be combined with SPECT/CT imaging with [ 111 In]In-DOTA-trastuzumab in a theranostic approach. In this study, we compared DOTA-conjugated trastuzumab IgG, F(ab') 2 or Fab complexed to 111 In or 225 Ac for SPECT/CT imaging and α-particle RIT of subcutaneous (s.c.) HER2-positive 164/8-1B/H2N.luc + human BC tumors in NRG mice. SPECT/CT imaging and tumor and normal tissue uptake were compared in NRG or NOD-SCID mice coinjected i.v. with [ 111 In]In-DOTA-trastuzumab IgG, F(ab') 2 or Fab and [ 225 Ac]Ac-DOTA-trastuzumab IgG, F(ab') 2 or Fab. Radiation absorbed doses in the tumor and normal organs for [ 225 Ac]Ac-DOTA-trastuzumab IgG, F(ab') 2 or Fab were estimated based on the biodistribution of the [ 111 In]In-DOTA-trastuzumab IgG, F(ab') 2 or Fab. Normal tissue toxicity was assessed by hematology and blood biochemistry analyses and monitoring body weight in NRG mice injected i.v. with 2 and 4 kBq of [ 225 Ac]Ac-DOTA-trastuzumab IgG, F(ab') 2 or Fab separated by 8 d. RIT studies were performed in NRG mice with s.c. 164/8-1B/H2N.luc + tumors injected i.v. with 2 kBq and 4 kBq of [ 225 Ac]Ac-DOTA-trastuzumab IgG, F(ab') 2 or Fab separated by 8 d or irrelevant [ 225 Ac]Ac-DOTA-IgG 1, two doses of unlabeled trastuzumab IgG or 0.9% NaCl. A tumor growth index (TGI) was plotted vs time (d) and Kaplan–Meier median survival estimated. [ 111 In]In-DOTA-trastuzumab IgG or F(ab') 2 exhibited 4.1-fold and 3.3-fold significantly greater tumor uptake at 2 d postinjection (p.i.) than Fab at 24 h p.i. However, spleen uptake at 2 d p.i. for [ 111 In]In-DOTA-trastuzumab IgG was 3.3-fold significantly higher than F(ab') 2 and 13.2-fold higher than Fab at 24 h p.i. [ 111 In]In-DOTA-trastuzumab F(ab') 2 and Fab exhibited higher kidney uptake than IgG. Tumors were imaged by SPECT/CT with [ 111 In]In-DOTA-trastuzumab IgG and F(ab') 2 but were not well-visualized with [ 111 In]In-DOTA-trastuzumab Fab. The absorbed dose in the tumor was 2.2-fold greater for [ 225 Ac]Ac-DOTA-trastuzumab F(ab') 2 than IgG and 3.4-fold greater than Fab. Hematological toxicity was observed for [ 225 Ac]Ac-DOTA-trastuzumab IgG but not for [ 225 Ac]Ac-DOTA-trastuzumab F(ab') 2 or Fab. No kidney or liver toxicity or decreased body weight was observed for any RIT agent. Tumor growth was significantly inhibited by [ 225 Ac]Ac-DOTA-trastuzumab IgG, F(ab') 2 or Fab but [ 225 Ac]Ac-DOTA-trastuzumab F(ab') 2 was most effective for increasing median survival (46 d vs 22 d for IgG and 29 d for Fab). We conclude that [ 111 In]In- and [ 225 Ac]Ac-DOTA-trastuzumab F(ab') 2 exhibited superior properties for theranostic imaging and α-particle RIT of HER2-positive human BC xenografts in NRG mice.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.031
GPT teacher head0.394
Teacher spread0.363 · 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 teacher head, not a consensus.

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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Citations11
Published2024
Admission routes2
Has abstractyes

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