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Record W2953565010 · doi:10.1158/1538-7445.am2019-3935

Abstract 3935: PLK4 inhibition as a strategy for non-small cell lung cancer radiosensitization

2019· article· en· W2953565010 on OpenAlexaff
Thomas J. Hayman, Mark R. Bray, Jacqueline M. Mason, Tak W. Mak, Joseph N. Contessa

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsClonogenic assayLung cancerCancer researchRadiosensitivityMitotic catastropheA549 cellCancerMedicineCell cycleRadiation sensitivityProgrammed cell deathMitosisRadiation therapyBiologyOncologyCellApoptosisInternal medicineCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background/Purpose: Lung cancer remains the leading cause of cancer-related death. Concurrent chemoradiation is the standard of care for locally advanced non-small cell lung cancer (NSCLC). Despite advancements in treatment, local control remains an issue and survival is suboptimal, highlighting the need for novel therapeutic approaches. Polo-like kinase 4 (PLK4) is a serine/threonine kinase that controls centriole duplication. PLK4 is highly expressed in multiple malignancies including lung cancer. CFI-400945 is a specific PLK4 inhibitor currently undergoing clinical trial evaluation. As radiation causes cell death primarily via a mitotic death, we hypothesized that disruption of the mitotic machinery by inhibition of PLK4 would enhance the effects of radiation. Methods: The effects of CFI-400945 on cell survival and radiation sensitivity were examined using the clonogenic survival assay in two KRAS-mutant lung cancer cell lines (H460 and A549). Confocal microscopy was utilized to determine the effects of PLK4 inhibition on radiation-induced mitotic catastrophe (defined as the presence of 2 or more distinct nuclear lobes within a single cell). Cell cycle distribution by flow cytometry was determined after treatment with CFI-400945 and radiation. Results: Exposure of H460 and A549 lung cancer cell lines to 10nM CFI-400945 for 48h reduced clonogenic survival to 63.9% and 83.1% respectively. CFI-400945 treatment of H460 and A549 cells resulted in radiosensitization of both cell lines with dose enhancement factors (DEF) of 1.60 and 1.31. To understand the mechanism of enhanced radiosensitivity with CFI-400945 treatment the effects on radiation-induced mitotic catastrophe were determined. In both H460 and A549 cells the combination of radiation and PLK4 inhibition enhanced the proportion of cells undergoing mitotic catastrophe. The combination of CFI-400945 and radiation resulted in increased G2/M arrest and appearance of >4N populations by flow cytometric analysis when compared to drug or radiation treatment alone. Conclusion: PLK4 inhibition with CFI-400945 enhances the radiosensitivity of lung cancer cell lines via mitotic catastrophe and G2/M arrest and these data support additional pre-clinical testing. Citation Format: Thomas J. Hayman, Mark R. Bray, Jacqueline M. Mason, Tak W. Mak, Joseph N. Contessa. PLK4 inhibition as a strategy for non-small cell lung cancer radiosensitization [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3935.

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 score0.006
Threshold uncertainty score0.022

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.026
GPT teacher head0.349
Teacher spread0.323 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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