MétaCan
Menu
Back to cohort
Record W2741843640 · doi:10.1158/1538-7445.am2017-151

Abstract 151: Inhibition of AKT-1 for the treatment of human non-small cell lung cancer (NSCLC) in-vitro

2017· article· en· W2741843640 on OpenAlex
Paige M. Chorner, Roger A. Moorehead

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsProtein kinase BCancer researchPI3K/AKT/mTOR pathwayCarcinogenesisBiologyCell growthChemistryPhosphorylationCancerMedicineCell biologySignal transductionInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract AKT is a serine-threonine kinase implicated in tumorigenesis as a central regulator of cellular growth, proliferation, survival, metabolism, and migration. Activated AKT is overexpressed in 50-70% of NSCLC tumors and has exhibited an association with poor prognosis as well as chemotherapeutic resistance to platinum-based therapy. Accordingly, AKT inhibitors such as MK-2206 are currently undergoing clinical investigation for the treatment of human NSCLC however, these agents broadly target all three (1-3) AKT isoforms. Recent evidence suggests opposing roles of the AKT isoforms in tumorigenesis where loss of AKT-1 inhibits while the loss of AKT-2 enhances lung tumor development in transgenic mouse models. Based on these findings, we hypothesized that preferential inhibition of AKT-1 would warrant a more effective therapeutic strategy for NSCLC compared to the current clinical approach of broad AKT inhibition. WST-1 cell viability assays have revealed that a selective AKT-1 inhibitor A-674563 is a more potent regulator of survival in 6 NSCLC cell lines compared to a pan-AKT inhibitor MK-2206. Furthermore, off-target CDK2 inhibition likely contributes to the observed benefits of the AKT-1 inhibitor as the reduction in cell viability largely parallels the effects of a CDK2 inhibitor PHA-848125. In addition, the cell lines with higher endogenous CDK2 and p-CDK2 expression are more sensitive to the AKT-1 inhibitor relative to the pan-AKT inhibitor MK-2206. Basal protein and RNA levels in each of the cell lines have also shown that high AKT-3 expression may confer resistance to the pan-AKT inhibitor MK-2206. Thus, AKT-3 expression has the potential to serve as a predictive marker for patient response to AKT-1 versus broad AKT-inhibition. Cell cycle analysis demonstrated that the AKT-1 inhibitor decreases the proportion of cells in the Go/G1 phase and increases the proportion of cells in the S-phase, indicating a possible S-phase cell cycle arrest. These differences are also more significant in the cell lines with augmented sensitivity to the AKT-1 inhibitor. Therefore, altered cell cycle progression could be the major driver of the therapeutic benefits of the AKT-1 inhibitor. Overall, our findings suggest that AKT-1 inhibition is significantly more effective at reducing NSCLC cell viability in-vitro compared to pan-AKT inhibition. Furthermore, cell lines with higher CDK2 and AKT-3 expression have marginally increased sensitivity to the AKT-1 inhibitor A-674563 compared to the pan-AKT inhibitor MK-2206. Future research will focus on understanding the mechanism of action of the AKT-1 inhibitor through combined western blot, AKT antibody array, flow cytometry, and confocal microscopy data. Additionally, we will investigate the toxicity of these inhibitors on normal human small airway epithelial cells (HSAECs) to ensure preferential activity against malignant over somatic cells. Citation Format: Paige M. Chorner, Roger A. Moorehead. Inhibition of AKT-1 for the treatment of human non-small cell lung cancer (NSCLC) in-vitro [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 151. doi:10.1158/1538-7445.AM2017-151

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.038
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.449
Teacher spread0.336 · 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