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Abstract PD2-03: CDK4/6 inhibitor-resistant ER+ breast cancer cell lines are hypersensitive to TTK inhibition

2020· article· en· W3005787166 on OpenAlexaff
Isabel Soria Bretones, Kelsie L. Thu, Jennifer Silvester, Reza Kiarash, Graham C. Fletcher, Jennifer Cruickshank, Mark R. Bray, Tak W. Mak, David W. Cescon

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsPalbociclibCancer researchCell cycleCyclin-dependent kinase 4Growth inhibitionBreast cancerCancerCytotoxicityBiologyEstrogen receptorCell growthMedicineInternal medicineOncologyMetastatic breast cancerCyclin-dependent kinase 2In vitroGenetics

Abstract

fetched live from OpenAlex

Abstract Inhibitors of cyclin-dependent kinases 4 and 6 (CDK4/6i), in combination with hormonal therapies, have become standard of care for the treatment of estrogen receptor-positive (ER+)/HER2-negative metastatic breast cancer. Despite demonstrating significant improvements in progression-free survival, acquired resistance to these inhibitors invariably develops. Recent analyses of clinical samples have identified emergent genomic alterations conferring acquired resistance to CDK4/6i, and begin to define the biology of this new clinical entity. Discovery of vulnerabilities of CDK4/6i-resistant tumours is imperative to improve the survival of this group of patients. We modeled CDK4/6i resistance in ER+ breast cancer cell lines using two complementary approaches: (1) spontaneous development of resistance upon continuous exposure to the palbociclib for 6-9 months, and (2) genetic engineering of RB1 loss of function. In both cases, palbociclib resistance was confirmed by colony formation and cell proliferation assays. To identify potential therapeutic strategies for CDK4/6i-resistant cells, we tested the in vitro activity of novel cell cycle inhibitors using sulforhodamine B (SRB) cytotoxicity assays. CFI-402257, a selective TTK inhibitor now in Phase I testing, induced significantly increased cytotoxicity in different CDK4/6i-resistant models compared to parental cell lines, including but not exclusively those with RB1 loss. CFI-402257 treatment caused defects in cell cycle progression and increased DNA damage and genomic instability in CDK4/6i-resistant cells, while these effects were mild in parental, CDK4/6i-sensitive cell lines. In some cases, these phenotypes were accompanied by an increase in apoptotic signaling. Analysis of the molecular determinants of these effects are being evaluated (additional results will be presented). In xenografts derived from MCF7 cells, CFI-402257 treatment completely abrogated the growth of RB1-KO tumours and had a much less pronounced effect on wild-type tumours. In summary, our results nominate the TTK inhibitor CFI-402257 as a promising therapeutic strategy for breast cancer patients who progress after CDK4/6 inhibition. A clinical trial testing this strategy is being launched. Citation Format: Isabel Soria Bretones, Kelsie L Thu, Jennifer Silvester, Reza Kiarash, Graham C Fletcher, Jennifer Cruickshank, Mark R Bray, Tak W Mak, David W Cescon. CDK4/6 inhibitor-resistant ER+ breast cancer cell lines are hypersensitive to TTK inhibition [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD2-03.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.075
GPT teacher head0.384
Teacher spread0.309 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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