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Record W2741791382 · doi:10.1158/1538-7445.am2017-3162

Abstract 3162: HRAS G12V predicts for innate resistance to PI3Kα inhibition in head and neck squamous cell cancer

2017· article· en· W2741791382 on OpenAlexaff
Kara M. Ruicci, Ren Sun, Morgan Black, Nicole Pinto, John Yoo, Kevin Fung, Danielle MacNeil, Lauire Aillies, Joseph S. Mymryk, Paul C. Boutros, John W. Barrett, Anthony C. Nichols

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchWestern University
Fundersnot available
KeywordsHRASPI3K/AKT/mTOR pathwayCancer researchHead and neck squamous-cell carcinomaMedicineCancerBiologyInternal medicineHead and neck cancerKRASGeneticsSignal transduction

Abstract

fetched live from OpenAlex

Abstract Introduction: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide, with an incidence of ~600 000 new cases per year and a 50% mortality rate for advanced disease. The mutational landscape of HNSCC has been recently elucidated, introducing the possibility for targeted therapeutic approaches. PIK3CA—which encodes the α-catalytic subunit of PI3K (PI3Kα)—is the most frequently altered actionable target in HNSCC, however it is not presently clear which patients benefit most from PI3Kα-inhibition. BYL719 is a leading PI3Kα inhibitor in clinical development for HNSCC. We previously examined the responses of a large panel of genetically-characterized HNSCC cell lines to BYL719 and identified activating HRAS G12V mutations as strong predictors for BYL719 resistance. Here we examine if this mutation is able to individually modulate BYL719 response through overexpression and knockdown studies. Methods: To determine if HRAS G12V was able to modulate BYL719 sensitivity, we knocked down HRAS in HRAS G12V and HRAS wild-type (WT) cell lines using RNA interference, and then treated cells over 10-point dose ranges with BYL719. Sensitivity was determined by calculating IC50 (half-maximal inhibitory concentration) values at 72 hours using PrestoBlue®. Constructs expressing wildtype (WT) HRAS or HRAS G12V were transfected into BYL719-sensitive cells for overexpression studies and cells were selected using G418 Sulfate for 1 month. Proliferation and BYL719 sensitivity (IC50 values) were measured as described. Immunoblotting was used to examine activity of the PI3K-AKT axis with and without BYL719 (1μM) for 24 hours. Results & Conclusions: HRAS knockdown sensitized HRAS G12V lines to BYL719 (lower IC50), but did not affect the response of WT HRAS cells. WT HRAS and HRAS G12V overexpression significantly increased cellular proliferation and promoted BYL719 resistance. In HRAS G12V cell lines, we observed high levels of active phosphorylated AKT (S473/T308), even in the presence of BYL719. Collectively these findings highlight the predictive role of HRAS G12V for innate BYL719 resistance and contribute to our understanding of which patients may respond best on BYL719 therapy. Citation Format: Kara M. Ruicci, Ren Sun, Morgan Black, Nicole Pinto, John Yoo, Kevin Fung, Danielle Macneil, Lauire Aillies, Joseph S. Mymryk, Paul C. Boutros, John W. Barrett, Anthony C. Nichols. HRAS G12V predicts for innate resistance to PI3Kα inhibition in head and neck squamous cell cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3162. doi:10.1158/1538-7445.AM2017-3162

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

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)0.0060.002

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 head0.065
GPT teacher head0.404
Teacher spread0.339 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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