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Record W2099703266 · doi:10.2217/bmt.12.37

Interactions of PI3K/Akt/mTOR and estrogen receptor signaling in breast cancer

2012· article· en· W2099703266 on OpenAlexafffund
Anuraag Shrivastav, Leigh C. Murphy

Bibliographic record

VenueBreast Cancer Management · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of ManitobaCancerCare ManitobaUniversity of Winnipeg
FundersCanadian Institutes of Health ResearchCancerCare Manitoba FoundationManitoba Health Research Council
KeywordsPI3K/AKT/mTOR pathwayProtein kinase BEstrogen receptorBreast cancerCancer researchSignal transductionPhosphorylationMedicineCancerInternal medicineBiologyCell biology

Abstract

fetched live from OpenAlex

SUMMARY Endocrine therapies are used to treat estrogen receptor-positive (ER+) breast cancer; however, patients develop resistance in some cases due to hormone-independent activation of ER signaling. Dysregulation of mTOR, a central hub for various signaling pathways regulated by hormones and growth factors, is a mechanism of endocrine therapy resistance. Activation of kinases in these pathways can cause ligand-independent ER signaling. Phosphorylation of ER regulates activity and predicts clinical outcome in ER+ breast cancer. PI3K/Akt/mTOR pathway activation in breast cancer is common and considered a therapeutic target. PI3K/Akt/mTOR signaling is complex and interacts with ER signaling. mTOR’s downstream target p70S6K negatively regulates Akt on one hand and can phosphorylate ER. Moreover, overexpressed p70S6K activates ER in breast cancer cells. An overall understanding of signaling events, especially those governed by mTOR, is important in deciding treatment protocols for ER+ breast cancers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.277
Teacher spread0.266 · 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.

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

Citations11
Published2012
Admission routes2
Has abstractyes

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