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Record W1608094756 · doi:10.1158/1538-7445.am2014-4422

Abstract 4422: A Hippo-independent pathway modulates YAP-induced resistance of cancer cells to antitubulin drugs

2014· article· en· W1608094756 on OpenAlexaff
Yulei Zhao, Prem Khanal, Xiaolong Yang

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHippo pathway signaling and YAP/TAZ
Canadian institutionsQueen's University
Fundersnot available
KeywordsHippo signaling pathwayCancerCarcinogenesisBiologyCancer researchDrug resistanceCancer cellTransactivationSignal transductionCell biologyTranscription factorGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Antitubulin drugs have been widely used for the treatment of various human cancers including breast and lung cancer, etc. Although these drugs are effective as first-line treatment of cancers, many cancer patients are either intrinsically resistant or later develop resistant to drugs, which is one of the major obstacles for successful cancer treatment. Therefore, understanding the molecular mechanism underlying antitubulin drug resistance is critical for future prognosis of cancer treatment and development of novel therapeutic drugs for cancer treatment. The Hippo pathway is an emerging signaling pathway that plays important roles in various biological processes including organ size control, tumorigenesis, stem cell differentiation and renewal, etc. Although tremendous progress has been made toward our understanding of the roles of the Hippo pathway in cancer development, if and how is its role in drug resistance remains largely unknown. Recently, we and others have provided convincing evidence that some core components of the Hippo pathway are involved in the resistance of cancer cells to antitubulin drug Taxol. However, the signaling pathways or genes mediating their effects in chemotherapeutic drug response remain to be identified. In this study, we have discovered that Hippo core component YAP oncoprotein and transcriptional co-activitor is specifically phosphorylated only after treatment of cancer cells with antitubulin drugs. Most significantly, we have identified a Hippo-independent pathway in which activated Cdk1 can directly phosphorylate YAP, which subsequently inactivates YAP function in transactivation and anti-apoptosis during antitubulin drug treatment. These findings have significant implication not only in future use of YAP as a prognostic marker in predicting antitubulin drug response in patients but also provide a novel approach for future targeting and inactivating YAP by activating its phosphorylation for treatment of antitublin drug resistant cancer patients caused by YAP activation. Citation Format: Yulei Zhao, Prem Khanal, Xiaolong Yang. A Hippo-independent pathway modulates YAP-induced resistance of cancer cells to antitubulin drugs. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4422. doi:10.1158/1538-7445.AM2014-4422

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 score0.010

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)0.0030.001

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 head0.036
GPT teacher head0.352
Teacher spread0.316 · 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
Published2014
Admission routes1
Has abstractyes

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