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Record W2980576711 · doi:10.1182/blood.v110.11.799.799

Design and Development of Small Molecules for Specific Targeted Therapy of Diffuse Large B-Cell Lymphoma.

2007· article· en· W2980576711 on OpenAlexaff
Gustavo Felippe da Silva, Alex Ghetu, Leandro Cerchietti, José M. Polo, Andrew Coop, Alexander D. MacKerell, Gilbert G. Privé, Ari Melnick

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCorepressorBCL6BiologyRepressorSmall moleculeTranscription factorTransactivationBinding siteCell biologyChemistryGeneticsCancer researchMolecular biologyGeneB cellGerminal center

Abstract

fetched live from OpenAlex

Abstract BCL6 is the most commonly involved oncogene in diffuse large B-cell lymphoma (DLBCL). BCL6 mediates lymphomagenesis through direct transcriptional repression of target genes including p53 and ATR. BCL6 represses these genes by recruiting three corepressors: SMRT, N-CoR and BCoR. This interaction is mediated by an 18 amino acid corepressor sequence with a unique “lateral groove” motif located in the BCL6 BTB domain. We previously showed that a peptide mimic of the corepressor BCL6-binding sequence could inhibit BCL6 and kill DLBCL cells in vitro and in vivo, without toxicity to normal tissues. Although, transcription factors such as BCL6 that function through protein-protein interactions were traditionally regarded as “undruggable”, we hypothesized that a detailed structural and biochemical analysis might facilitate the design of small molecule inhibitors. Based on our crystal structure of the BCL6-corepressor complex, we used a computational strategy to screen one million small molecules for their ability to potentially dock to a specific lateral groove region. The chemistry of protein contacts in this region led us to predict that small molecules that could dock to this site would have the best chance of destabilizing the BCL6-corepressor complex. Among the top-scoring 100 molecules from this screen, we identified 10 compounds that could specifically inhibit the repressor activity of the BCL6 BTB domain in reporter assays and that displayed direct binding to purified BCL6 BTB domains. Using these leads as molecular scaffolds we generated small libraries of molecules derived from each parental compound. The most active of these families was called “the 57 series”. Series 57 compounds could all specifically block BCL6 repression in reporter assays, and disrupt corepressor/BCL6 complexes at low micromolar concentrations as shown in fluorescence polarization assays. X-ray crystallography of the most active member of the 57 family (called “57-6”) showed that the small molecule docked as predicted in the critical region of the lateral groove. Moreover, 57-6 induced an allosteric conformational change in the entire lateral groove that explains how these small molecules so effectively disrupt the BCL6/corepressor complex. 57-6 was also biologically active, since it could induce expression of BCL6 target genes including p53 and ATR in BCL6-positive DLBCL cells as shown by QPCR. 57-6 had no effect on negative control genes nor in BCL6-negative DLBCL cells. The mechanism of action was confirmed in ChIP assays showed that 57-6 abrogated BCL6 mediated corepressor recruitment to BCL6 target genes but had no effect on negative control genes. Most importantly, 57-6 specifically killed BCL6-positive DLBCL cells but had no effect on BCL6-negative DLBCL cells. A dose escalation experiment in mice revealed no toxic effects. In xenotransplantation experiments, 57-6 potently inhibited the growth of already established human DLBCL tumors in mice, again without toxicity to other organs. In summary, we used a rational approach to design specific and potent small molecule inhibitors of BCL6, which could serve as targeted agents for DLBCL in clinical trials. Our data show that transcription factors are druggable targets that can be harnessed to potentially improve cancer therapy.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.001

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 head0.030
GPT teacher head0.246
Teacher spread0.215 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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