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Abstract P3-05-15: Divergent activation of AKT1 and AKT2 isoforms downstream of PI3K mutation impacts response of breast cancer cells to estradiol and PI3K inhibitors

2015· article· en· W2226239069 on OpenAlexaff
Harikrishna Nakshatri, Chirayu Goswami, Sunil Badve, Luca Magnani, Mathieu Lupien, Poornima Bhat‐Nakshatri

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPI3K/AKT/mTOR pathwayAKT2Protein kinase BAKT1Cancer researchEstrogen receptorBreast cancerFulvestrantBiologyEndocrinologyEstrogenPhosphorylationInternal medicineMedicineCancerSignal transductionCell biology

Abstract

fetched live from OpenAlex

Abstract Background: PI3K mutations are observed in 30% of breast cancers, which are more common in estrogen receptor (ERα) positive breast cancers compared to ERα-negative breast cancers. AKT, a the major kinase downstream of PI3K, modulates ERα activity. It is unknown whether PI3K mutation leads to preferential activation of specific AKT isoform with ability to modulate ERα function. Results: We report elevated AKT1 but not AKT2 mRNA in breast cancers with PI3K mutation. Breast epithelial cells with targeted substitution of PI3K with PI3K-E545K or PI3K-H1047R demonstrated elevated AKT1_pS473 compared to AKT2_pS474, distinct AKT substrate phosphorylation, and enhanced Estrogen Receptor (ERα) activity. AKT1 had a dominant role in ERα:estradiol (E2)-dependent gene expression and proliferation. We have identified an unique gene expression signature in ERα-positive breast cancers that is dependent on ERα, estradiol (E2), AKT1, and the pioneer factor FOXA1. Elevated expression of this signature in ERα-positive tumor was associated with better response to endocrine therapy and outcome. In addition, AKT1 determined the sensitivity to PI3α-specific inhibitor BYL719 and pan-PI3K inhibitor BKM120. In contrast, AKT2 controlled global gene expression and elevated levels of an AKT2-directed protein signature predicted poor outcome in breast cancer patients. Conclusions: PI3K mutation favors AKT1 activation leading to imbalance in AKT isoform-specific kinome/proteome and an effect on specific signaling pathways, particularly ERα:E2 signaling network. Knowledge gained from this functional dissection of AKT isoform activity downstream of PI3K mutation can be exploited for therapeutic stratification, particularly for anti-estrogen and PI3K inhibitor-based therapies. Citation Format: Harikrishna Nakshatri, Chirayu Goswami, Sunil Badve, Luca Magnani, Mathieu Lupien, Poornima Bhat-Nakshatri. Divergent activation of AKT1 and AKT2 isoforms downstream of PI3K mutation impacts response of breast cancer cells to estradiol and PI3K inhibitors [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-05-15.

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 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)0.001
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 score0.305
Threshold uncertainty score0.776

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.058
GPT teacher head0.395
Teacher spread0.337 · 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 teacher head, 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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