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Abstract PD2-10: Predicting sensitivity to CDK4/6 inhibition in ER+/HER2- breast cancer cell lines

2020· article· en· W3013041600 on OpenAlexaff
Lauren Bathurst, Linda M. Liao, Cheryl Crozier, Jane Bayani, John M.S. Bartlett, Melanie Spears

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsPalbociclibGrowth inhibitionCancer researchCell cycleCell growthCell cultureBiologyCancerOncologyMetastatic breast cancerMedicineInternal medicineBreast cancerGenetics

Abstract

fetched live from OpenAlex

Abstract Background: For treatment of metastatic or advanced ER+/HER2- breast cancer, CDK4/6 inhibition (CDKi), including CDK4/6 inhibitors palbociclib, ribociclib and abemaciclib, is now the standard of care. Approximately 25% of patients however will not respond or demonstrate progression within 6 months. The successful clinical implementation of these agents will require understanding which patient subgroups are more likely to benefit from targeted therapies. The goal of this study was to identify molecular alterations contributing to the intrinsic and acquired resistance to CDK4/6 inhibition. Methods/Results: A panel of fifteen ER+/HER2- cell lines was characterized using a NanoString PAM50-like assay as well as next generation sequencing. Cell lines were screened with three CDK4/6 inhibitors: palbociclib, ribociclib and abemaciclib. Growth rate (GR) inhibition metrics, which control for different doubling times of the cell lines, were used to generate normalized GR inhibition values. A range of sensitivities to palbociclib was observed based on molecular alterations, varying from 75 to 200nM in sensitive cell lines to 800nM to >5000nM in resistant cell lines. In response to 24h treatment with 1µM palbociclib, cell lines downregulated expression of E2F-target genes involved in cell cycle progression, and increased growth factor receptor signaling. Following treatment with 1µM palbociclib, resistant cell lines had increased expression of genes involved in DNA repair, replication and cell cycle checkpoints, as well as downregulation of genes involved in the regulation of cellular response to growth factor stimulation. Downregulated genes included several members of the DUSP family of phosphatases that are responsible for negative regulation of MAPK signaling, and infers a possible target population for treatment with palbociclib. To determine whether the same pathways driving intrinsic resistance to palbociclib are also driving acquired resistance, two in-vitro models of acquired resistance to CDKi were developed by treating MCF7 and T47D cell lines with increasing concentrations of palbociclib or abemaciclib. Loss of RB1 was observed in MCF7 CDKi-resistant cell lines, as well as copy number gains of EGFR, BRCA1 and SMO. In the MCF7 CDKi-resistant cell lines, increased activity of EGFR and MAPK signaling pathways as well as increased expression of cyclin E1 was observed. Conclusions: These results suggest that alterations in cell cycle and MAPK signaling pathways contribute to both intrinsic and acquired resistance to CDKi in ER+/HER2- breast cancer cell lines. Citation Format: Lauren Bathurst, Linda Liao, Cheryl Crozier, Jane Bayani, John Bartlett, Melanie Spears. Predicting sensitivity to CDK4/6 inhibition in ER+/HER2- breast cancer cell lines [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 PD2-10.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.408
Teacher spread0.329 · 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
Published2020
Admission routes1
Has abstractyes

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