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Record W7162100784 · doi:10.82308/13719

Design, synthesis, and biological evaluation of selective estrogen receptor modulator/histone deacetylase inhibitor hybrid drug molecules

2020· dissertation· en· W7162100784 on OpenAlexaboutno aff
Yufei Wang

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsnot available
Fundersnot available
KeywordsRaloxifenePharmacophoreSelective estrogen receptor modulatorTamoxifenBreast cancerEstrogen receptorHistone deacetylaseOestrogen receptor

Abstract

fetched live from OpenAlex

The prognosis for those diagnosed with breast cancer has dramatically improved since the 1980’s, primarily due to improved diagnostic and treatment methods. One such treatment is a class of drugs called selective estrogen receptor modulators (SERMs). SERMs are a popular treatment option for breast cancer, commonly employed as adjuvant therapy. Prototypical examples of SERMs are tamoxifen and raloxifene. Despite their widespread success, breast cancers can often develop resistance to SERMs. As a result, other biological targets which may mitigate this resistance have been identified. Recent interest in the field has arisen around histone deacetylases (HDACs), which are a class of enzymes that have been implicated in promoting resistance in breast carcinoma. Studies have demonstrated the combination treatment of SERMs and HDAC inhibitors (HDACi’s) elicits a cooperative effect in enhancing cytotoxicity and resensitizing resistant breast cancers. In an effort to maximize the cooperative effects of SERMs and HDACi’s, the project detailed in this thesis describes the design, synthesis, and biological evaluation of a series of hybrid raloxifene/HDACi molecules that combine the pharmacophores of both drug classes. Previous work by the Gleason laboratory found tamoxifen/HDACi hybrids to exhibit potent biological activity, but further exploration of these would be laborious due to their inherent instability. As a result, a synthesis of raloxifene/HDACi hybrids was developed. Significant synthetic challenges resulted from the comparatively electron-deficient nature of key intermediates, making known methods used for raloxifene inapplicable towards these targets. After notable route scouting and reaction optimization, these challenges were resolved and a small library of seven hybrid drug molecules were successfully synthesized and purified prior to biological evaluation. Fluorogenic HDACi assays determined the IC50 values of the raloxifene/HDACi hybrids against HDAC1 and HDAC6. All hybrids demonstrated sub-micromolar IC50 values for HDAC1. For HDAC6, one hybrid showed low micromolar potency for HDAC6, while all others had sub-micromolar values. Generally, carbon-linked hybrids were more potent than oxygen-linked hybrids against HDAC1, while the reverse was true for HDAC6.Preliminary biological assays performed by the Mader lab at the Université de Montréal demonstrate all hybrids antagonize the ER at a low micromolar dose, both in the presence and in the absence of E2. A more conclusive result of the SERM/HDACi hybrids can be drawn once further biological testing has been completed by the Mader lab

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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