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Abstract A247: BT2111, a new anticancer agent composed of trastuzumab and transcend a vector for brain delivery for the treatment of metastatic Her2+ breast cancer.

2013· article· en· W2001379228 on OpenAlexaff
Reinhard Gabathuler, Timothy Z. Vitalis, Mohamed Ismail Nounou, Umar Iqbal, María Moreno, Chris E. Adkins, Tori O. Torrell, Wilfred A. Jefferies, Paul R. Lockman

Bibliographic record

VenueMolecular Cancer Therapeutics · 2013
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of British ColumbiaInstitute for Biological Sciences
Fundersnot available
KeywordsTrastuzumabMedicineParenchymaMonoclonal antibodyBreast cancerAntibodyConfocal microscopyBlood–brain barrierIntracardiac injectionPathologyMetastatic breast cancerCancer researchPharmacologyCancerInternal medicineImmunologyCentral nervous systemBiologyCell biology

Abstract

fetched live from OpenAlex

Abstract Background: The blood-brain barrier (BBB) is mainly formed by brain capillary endothelial cells, which are closely sealed by tight junctions and express high levels of active efflux transport proteins, including P-glycoprotein (Pgp). As a result, the overwhelming majority of small molecules, proteins such as antibodies do not cross the BBB. For example, a humanized monoclonal antibody, trastuzumab improves survival of patients with metastatic breast cancer that overexpress HER2. However, the breast cancer frequently progresses in the CNS probably a result from poor brain penetration of trastuzumab. BT2111 made by incorporating Transcend (Melanotransferrin, MTf, p97) a brain delivery vector to trastuzumab was manufactured to provide a non-invasive and flexible platform for transporting an active agent into the brain. Material and Methods: Brain distribution of Transcend, trastuzumab, and BT2111 was done by fluorescence confocal microscopy of brain slices after i.v. injection of rhodamine labeled molecules. Therapeutical efficacy was assessed in a mice model characterized by the formation of brain metastases after intracardiac administration of MDA-MB 231BR. A biweekly treatment was initiated on day 21 after the initial intracardiac injections. The efficacy of the different compounds was assessed by counting the number and size of metastases in brain at the termination of the experiment. Results: We demonstrate that an antibody, trastuzumab, labelled with rhodamine can be transported in the brain parenchyma after incorporation of MTf. By quantitative confocal fluorescence microscopy we determined that 10 to 15 times more antibodies were delivered in the brain parenchyma when conjugated to MTf. It was found that BT2111 reduces by 68% the number of human HER2+ breast cancer metastases in the brain when compared to control animals with the remaining tumors being 57% smaller than those in the control animals. In contrast, trastuzumab alone had no effect on reducing the number of metastases and was associated with only a slight reduction in metastasis size when compared to untreated control animals. Conclusion: Transcend (MTf, p97) a brain delivery vector can be used to transport large biologics such as mAbs, trastuzumab, at therapeutic concentration to the brain parenchyma for the treatment of brain cancers. BT2111 has the potential to become a new anticancer agent, BT2111, for treatment of brain metastases. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):A247. Citation Format: Reinhard Gabathuler, Timothy Z. Vitalis, Mohamed I. Nounou, Umar Iqbal, Maria Moreno, Chris E. Adkins, Tori O. Torrell, Wilfred A. Jefferies, Paul R. Lockman. BT2111, a new anticancer agent composed of trastuzumab and transcend a vector for brain delivery for the treatment of metastatic Her2+ breast cancer. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr A247.

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 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 score0.134
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.059
GPT teacher head0.359
Teacher spread0.301 · 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.

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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Citations1
Published2013
Admission routes1
Has abstractyes

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