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Record W4282980569 · doi:10.1158/1538-7445.am2022-5660

Abstract 5660: Anti-proliferation effect of polo-like kinase-4 inhibitor in ovarian cancer via AKT/mTOR/p70S6K pathway

2022· article· en· W4282980569 on OpenAlexaff
Ka Yu Tse, Wai Sun Chan, Moxil Xuetang Mo, Horace H.Y. Lee, Philip P.C. Ip, Tak W. Mak

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsPrincess Margaret Cancer CentreOntario Institute for Cancer Research
Fundersnot available
KeywordsPI3K/AKT/mTOR pathwayProtein kinase BCancer researchCell growthCell cycleRPTORKinaseOvarian cancerBiologyChemistryCancerCell biologySignal transductionBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background: Chromosomal instability is a hallmark in epithelial ovarian cancer. Polo-like kinases (PLK) play a vital role in cell cycle regulation. In particular, PLK4 is crucial in centriole duplication. PLK4 overexpression causes defect in cytokinesis, which in turn leads to aneuploidy and mitosis catastrophe. Previous studies showed that PLK4 inhibitors are effective against cell growth in different cancers like breast cancer and lung cancer. We hypothesize that the AKT/mTOR and p70S6K pathway is involved in this mechanism. Methods: The importance of cell proliferation of PLK4 was assessed by its inhibition in ovarian cancer cell lines and patient-derived organoids by CFI-400945. RNA sequencing was performed. The effects of PLK4 inhibition on the AKT/mTOR and p70S6K pathway was demonstrated by qPCR and western blot. Correlation of the mRNA expression level with the IC50 of CFI-400945 in ovarian cancer cell lines. Results: PLK4 inhibition led to reduced cell proliferation in ovarian cancer cells based on XTT and colony formation assays. The anti-proliferative effect was further confirmed in 12 patient-derived organoids using ATP bioluminescent assay. RNA sequencing showed that PLK4 inhibition led to downregulation of the AKT/mTOR/p70S6K pathway. It was found that the most sensitive cell line had the highest mRNA expression of mTOR and p70S6K, while those less sensitive had lower mTOR and p70S6K mRNA expression. Treatment with CFI-400945 showed a reduction of total and phosphorylated forms of AKT, mTOR and p70S6K in a dose-dependent level. Combined treatment with metformin, a drug that had mTOR inhibition effect, showed a synergistic effect in one ovarian cancer cell line. Conclusion: PLK4 inhibition caused reduced cell proliferation in in vitro and ex vivo assays, and this was accompanied by a downregulation of the AKT/mTOR/p70S6K pathway. This suggested that this pathway might be one of the downstream effector pathways of PLK4. Citation Format: Ka Yu Tse, Wai Sun Chan, Moxil Xuetang Mo, Horace Hok Yeung Lee, Philip Pun Ching Ip, Tak Wah Mak. Anti-proliferation effect of polo-like kinase-4 inhibitor in ovarian cancer via AKT/mTOR/p70S6K pathway [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5660.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.333
Teacher spread0.314 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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