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Record W2480486994 · doi:10.1158/1538-7445.am2016-2961

Abstract 2961: deBouganin conjugated to trastuzumab overcomes multiple mechanisms of T-DM1 drug resistance

2016· article· en· W2480486994 on OpenAlexaff
Rachelle L. Dillon, Shilpa Chooniedass, Arjune Premsukh, Gregory P. Adams, Joycelyn Entwistle, Glen C. MacDonald, Jeannick Cizeau

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsViventia Bio (Canada)
Fundersnot available
KeywordsTrastuzumabSaporinPotencyIn vitroEpitopeIn vivoIC50BiologyPharmacologyCytotoxicityImmunotoxinMolecular biologyCancer researchCancerAntibodyImmunologyBiochemistryBreast cancer

Abstract

fetched live from OpenAlex

Abstract DeBouganin is a T-cell epitope-depleted variant of the type I Ribosome Inactivating Protein (RIP) plant toxin Bouganin. DeBouganin binds and deadenylates the sarcin/ricin loop of the 28S subunit of the ribosomal RNA leading to protein synthesis inhibition and apoptosis. To demonstrate the potential advantages of deBouganin over current small molecule payloads, deBouganin was randomly chemically conjugated to trastuzumab with a DAR of approximately 2 and compared to T-DM1 both in vitro and in vivo. The trastuzumab-deBouganin conjugate (T-deB) demonstrated a tighter IC50 range of killing and an overall greater potency in vitro against most cells lines with high levels of Her2 expression as compared to T-DM1. In addition, unlike T-DM1, T-deB was unaffected by inhibitors of multidrug resistance (MDR) and overexpression of Bcl-2 family members. Moreover, T-deB potency was unchanged by Her2-Her3 dimerization in the presence of heregulin. Contrary to T-DM1 which showed only minimal cytotoxicity, T-deB was highly potent in vitro against tumor cells with cancer stem cell (CSC) properties by preventing the formation of tumorspheres. Furthermore, in a BT-474 xenograft study, T-deB was more efficacious than T-DM1 resulting in increased survival of the T-deB treated mice. Overall, the results demonstrate the potency and efficacy of deBouganin and emphasize the importance of using payloads with different MOAs. The data suggest that deBouganin used alone or in combination with other payloads could be a highly effective cancer therapeutic that would provide prolonged clinical benefit. Citation Format: Rachelle L. Dillon, Shilpa Chooniedass, Arjune Premsukh, Gregory P. Adams, Joycelyn Entwistle, Glen C. MacDonald, Jeannick Cizeau. deBouganin conjugated to trastuzumab overcomes multiple mechanisms of T-DM1 drug resistance. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2961.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.326
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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