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Record W2052677854 · doi:10.1073/pnas.1010430107

Chemoprevention by nonsteroidal anti-inflammatory drugs eliminates oncogenic intestinal stem cells via SMAC-dependent apoptosis

2010· article· en· W2052677854 on OpenAlexaff
Wei Qiu, Xinwei Wang, Brian J. Leibowitz, Hongtao Liu, Nick Barker, Hitoshi Okada, Naohide Oue, Wataru Yasui, Hans Clevers, Robert E. Schoen, Jian Yu, Lin Zhang

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2010
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer Research
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCentre National d’Etudes SpatialesStowers Institute for Medical ResearchAmerican Cancer SocietyFlight Attendant Medical Research InstituteNational Cancer InstituteNational Institutes of Health
KeywordsSulindacApoptosisStem cellCancer researchWnt signaling pathwayInflammationCancer stem cellColorectal cancerPharmacologyCateninNonsteroidalBiologyCancerCell biologyChemistrySignal transductionImmunologyMedicineInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Nonsteroidal anti-inflammatory drugs (NSAIDs) such as sulindac effectively prevent colon cancer in humans and rodent models. However, their cellular targets and underlying mechanisms have remained elusive. We found that dietary sulindac induced apoptosis to remove the intestinal stem cells with nuclear or phosphorylated β-catenin in APC(Min/+) mice. NSAIDs also induced apoptosis in human colonic polyps and effectively removed cells with aberrant Wnt signaling. Furthermore, deficiency in SMAC, a mitochondrial apoptogenic protein, attenuated the tumor-suppressive effect of sulindac in APC(Min/+) mice by blocking apoptosis and removal of stem cells with nuclear or phosphorylated β-catenin. These results suggest that effective chemoprevention of colon cancer by NSAIDs lies in the elimination of stem cells that are inappropriately activated by oncogenic events through induction of apoptosis.

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 score0.006
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.279
Teacher spread0.261 · 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".

Quick stats

Citations96
Published2010
Admission routes1
Has abstractyes

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