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Positron-Emission Tomography of HER2-Positive Breast Cancer Xenografts in Mice with <sup>89</sup>Zr-Labeled Trastuzumab-DM1: A Comparison with <sup>89</sup>Zr-Labeled Trastuzumab

2018· article· en· W2810295565 on OpenAlexafffund
Noor Al‐saden, Karen Lam, Conrad Chan, Raymond M. Reilly

Bibliographic record

VenueMolecular Pharmaceutics · 2018
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsUniversity Health NetworkUniversity of Toronto
FundersOntario Institute for Cancer ResearchUniversity of TorontoTerry Fox Foundation
KeywordsTrastuzumabChemistryImmunoconjugatePositron emission tomographyTrastuzumab emtansineBreast cancerNuclear medicineCancerMedicineMonoclonal antibodyAntibodyImmunology

Abstract

fetched live from OpenAlex

Our aim was to synthesize 89Zr-labeled trastuzumab-emtansine (89Zr-DFO-T-DM1) to probe the delivery of trastuzumab-emtansine (T-DM1) to HER2-positive breast cancer (BC) by positron emission tomography (PET). We further aimed to compare the tumor and normal tissue uptake of 89Zr-DFO-T-DM1 with 89Zr-DFO-trastuzumab. T-DM1 was modified with 3.0 ± 0.2 desferrioxamine (DFO) chelators for complexing 89Zr by reaction with a 14-fold molar excess of p-NCS-Bz-DFO. The number of DFO chelators per T-DM1 molecule was quantified spectrophotometrically at 430 nm after the reaction with FeCl3. SDS-PAGE and SE-HPLC demonstrated a pure and homogeneous immunoconjugate. DFO-T-DM1 and DFO-trastuzumab were labeled to high efficiency (>97%) with 89Zr at a specific activity of 0.55 MBq/μg in a 2 M Na2CO3/0.5 M HEPES buffer, pH 7.0, at RT for 60–90 min. The labeling efficiency was measured by instant thin layer-silica gel chromatography (ITLC-SG) and SE-HPLC. HER2 immunoreactivity was measured in a saturation binding assay using SK-BR-3 human BC cells. 89Zr-DFO-T-DM1 exhibited high affinity HER2 binding (Kd = 3.7 ± 0.4 nM) that was not significantly different than 89Zr-DFO-trastuzumab (4.4 ± 0.5 nM; P = 0.06). The optimal time for tumor imaging with 89Zr-DFO-T-DM1 was 96 h post-injection in NOD-scid mice with s.c. HER2 overexpressing (HER2 3+) BT-474 human BC xenografts. Tumor uptake was dependent on the level of HER2 expression in mice with s.c. BT-474 (HER2 3+), MDA-MB-231/H2N (HER2 2+), MDA-MB-231 (HER2 0–1+), or MDA-MB-468 (HER2 0) human BC xenografts injected with 89Zr-DFO-T-DM1 (10 μg, 5.2 MBq). All tumors were visualized by microPET/CT, but the tumor intensity was greatest for BT-474 and MDA-MB-231/H2N xenografts. The tumor uptake of 89Zr-DFO-T-DM1 was 4.1-fold significantly higher than 89Zr-DFO-trastuzumab in mice with s.c. BT-474 (HER2 3+) xenografts (43.5 ± 4.3%ID/g vs 10.6 ± 5.4%ID/g, respectively; P < 0.001). Tumor uptake of 89Zr-DFO-T-DM1 in MDA-MB-231/H2N xenografts (HER2 2+) was 3.7-fold significantly higher than 89Zr-DFO-trastuzumab (10.1 ± 3.6%ID/g vs 2.7 ± 0.5%ID/g; P < 0.001). The higher tumor uptake of 89Zr-DFO-T-DM1 compared to 89Zr-DFO-trastuzumab was not due to a higher HER2 binding affinity or to differences in the residence time in the blood or tumor size. We conclude that 89Zr-DFO-T-DM1 is a useful probe to assess the delivery of T-DM1 to HER2-positive BC. PET with 89Zr-DFO-trastuzumab has been studied clinically to predict response to T-DM1, but our results suggest that 89Zr-DFO-T-DM1 may be more accurate due to the differences in the tumor uptake observed in the preclinical BC xenograft mouse models.

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)0.001
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 score0.213
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.361
Teacher spread0.338 · 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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Citations21
Published2018
Admission routes2
Has abstractyes

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