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Record W2317997914 · doi:10.1158/0008-5472.sabcs-3063

Synthetic lethality when combining phosphoinositide 3-kinase alpha and beta catalytic subunit-directed RNAi and estrogen deprivation for estrogen receptor positive breast cancer: implications for clinical trial design with pharmacological inhibitors.

2009· article· en· W2317997914 on OpenAlexaff
RJ Crowder, Chanpheng Phommaly, Jeremy Hoog, Yi-Ming Tao, Anthony J. Saporita, JD Weber, DG Huntsman, MJ Ellis

Bibliographic record

VenueCancer Research · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsCancer researchGene knockdownRNA interferenceEstrogen receptorBiologyEstrogen receptor alphaPhosphoinositide 3-kinaseP110αPI3K/AKT/mTOR pathwaySynthetic lethalityCell cultureSignal transductionCell biologyCancerBreast cancerMutantGeneBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract #3063 Background: Endocrine therapy with estrogen deprivation (ED) induces cell cycle arrest in sensitive estrogen receptor positive (ER+) breast cancers, but typically not apoptosis, thus relapse is common despite ED due to residual surviving tumor cells. The phosphoinositide 3-kinase (PI3K) pathway, which promotes cell survival, is hyperactivated in ER+ breast cancer due to mutations of genes in the PI3K signaling cascade, most commonly PIK3CA. We therefore investigated the role of p110α and p110β, the gene products of PIK3CA and PIK3CB, in promoting cell survival in ER+ breast cancer. Materials and Methods: RNA interference (RNAi) was used to selectively inhibit p110α and p110β expression in the ER+, PIK3CA mutant MCF-7 and T47D cell lines; the ER+, PIK3CA wild-type but PIK3CB gene amplified HCC712 cell line; and the ER-, PIK3CA and PIK3CB wild-type MDA-MB-231 cell line. Western blotting was used to confirm p110α and p110β knockdown efficiencies and to determine the effects of specific knockdowns on PI3K pathway signaling. Cell line growth was measured using a resazurin reduction assay. Apoptosis was quantified using TUNEL/Hoechst staining. Gene copy number for PIK3CB was assessed by FISH in cell lines and tumor samples. Results: PIK3CA RNAi inhibited growth and activated apoptosis in all tested ER+ cell lines under ED, whereas the addition of estrogen reversed PIK3CA RNAi-induced apoptosis. PIK3CB RNAi inhibited proliferation and promoted apoptosis in the absence of estrogen only in the PIK3CB-gene amplified HCC712 cell line. In combination, PIK3CA and PIK3CB gene knockdowns produced a synergistic apoptotic effect on T47D and HCC712 cell lines, but not in MCF-7 cells which contain low levels of p110β protein. In contrast PIK3CA and PIK3CB RNAi did not promote apoptosis in the ER- MDA-MB-231 cell line. Finally, since PIK3CB gene amplification has not been described previously we conducted a screen by FISH and array CGH and detected low-level PIK3CB copy number gain or amplification in ∼5% of clinical samples from a series of breast cancer patients representing diverse clinical phenotypes (ER+, ER-, ERBB2+). Conclusions: Inhibition of the PI3K pathway through suppression of PI3K catalytic subunit expression produces a synthetic lethal effect in the absence of estrogen specifically in ER+ breast cancer cells. These data establish a preclinical rationale for combining endocrine therapy with PI3K pharmacological inhibitors in ER+ breast cancer, but suggest that both PIK3CA and PIK3CB are therapeutic targets and gene mutation or amplification in both catalytic subunits may have to be taken into account when identiying a sensitive population for PI3 kinase-directed therapy. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 3063.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.129
GPT teacher head0.445
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
Published2009
Admission routes1
Has abstractyes

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