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Abstract PR012: KAT6A/B and Menin-MLL complexes coordinately regulate estrogen receptor-driven gene expression programs in breast cancer

2024· article· en· W4399504681 on OpenAlexaboutno aff
Sarah Naomi Olsen, Bryn Anderson, Charlie Hatton, Rinath Jeselsohn, Myles Brown, Eneda Toska, Scott A. Armstrong

Bibliographic record

VenueMolecular Cancer Therapeutics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsnot available
Fundersnot available
KeywordsChromatinCancer researchEpigeneticsEstrogen receptorBiologyBreast cancerCancerHistoneTranscription factorRegulation of gene expressionCell biologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract The estrogen receptor (ER) is expressed in ∼70% of breast cancers where it functions as a critical transcription factor that regulates cell growth and tumor progression. ER inhibition is a mainstay treatment for ER-positive (ER+) breast cancer, but despite the clinical benefit of targeting ER signaling, breast cancer remains the second leading cause of cancer-related death in women, with ∼50% of deaths resulting from ER+ tumors. While recurrent and metastatic ER+ tumors are typically resistant to endocrine therapies they continue to rely on ER signaling suggesting that disruption of other chromatin associated complexes that mediate ER-driven gene expression may present an alternative therapeutic strategy. One chromatin modifier important in regulating ER function is the histone acetyltransferase KAT6A. KAT6A is amplified and/or overexpressed in ∼15% of ER+ tumors and a novel KAT6A/B inhibitor has entered clinical trials for advanced breast cancer. However, as with most single agent therapies, compensatory mechanisms may attenuate the effects of KAT6A/B inhibition on ER-driven gene expression. We hypothesized that the dual targeting of distinct chromatin complexes would enhance the effects of KAT6A/B inhibition, by altering chromatin state and transcriptional output. To that end we performed an epigenetic focused CRISPR-Cas9-based functional genetic screen to identify chromatin-associated proteins that enhance KAT6A/B inhibition. CRISPR guides targeting MEN1 (encoding Menin) were among our top hits as sensitizers to treatment with the KAT6A/B inhibitor PF-9363. We confirmed that co-treatment of PF-9363, and the Menin inhibitor, SNDX-5613, had strong synergistic anti-proliferative effects in a panel of ER+ breast cancer cell lines. Mechanistically, our data revealed that KAT6A/B and Menin cooperatively regulate ER-driven gene expression and chromatin accessibility, both through direct effects on ESR1 expression as well as through effects at ER target genes. Specifically, we found that KAT6A and Menin-KMT2A complexes co-localized at promoters of ER target genes and treatment with KAT6A/B or Menin inhibitors displaced KAT6A and Menin/KMT2A from ER target genes, respectively. Yet only the combination effectively displaced both complexes from chromatin, which produced more dramatic changes in ER-directed gene expression than either small molecule alone. Combined displacement of KAT6A and Menin/KMT2A at ER-regulated genes induced loss of an active chromatin landscape characterized by reduction of activating histone modifications and loss of RNA Polymerase II binding to ER target loci. Importantly, the combination of KAT6A/B and Menin inhibition was effective in a panel of ER+ patient-derived organoid models as well as in various models of endocrine resistance, including models with ESR1 mutations, NF1 loss, and FOXA1 mutations. Both KAT6A/B and Menin inhibitors are in Phase I/II clinical trials and have shown manageable toxicity profiles to date. This combination represents a novel potential therapeutic combination for ER+ breast cancer. Citation Format: Sarah Naomi Olsen, Bryn Anderson, Charles Hatton, Rinath Jeselsohn, Myles Brown, Eneda Toska, Scott Armstrong. KAT6A/B and Menin-MLL complexes coordinately regulate estrogen receptor-driven gene expression programs in breast cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr PR012.

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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 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 score0.063
Threshold uncertainty score1.000

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 head0.025
GPT teacher head0.284
Teacher spread0.259 · 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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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