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Record W2167767113 · doi:10.1158/0008-5472.can-05-1663

HIN-1, an Inhibitor of Cell Growth, Invasion, and AKT Activation

2005· article· en· W2167767113 on OpenAlexaff
Ian E. Krop, Michele Taylor Parker, Noga Bloushtain-Qimron, Dale Porter, Rebecca Gelman, Hidefumi Sasaki, Matthew Maurer, Mary Beth Terry, Ramon Parsons, Kornélia Polyák

Bibliographic record

VenueCancer Research · 2005
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsImmunovaccine (Canada)
FundersNational Cancer InstituteDana-Farber Cancer InstituteBrigham and Women's HospitalU.S. Department of Defense
KeywordsProtein kinase BPhosphorylationRetinoblastoma proteinCell growthCell biologyCancer researchSignal transductionCell cyclePI3K/AKT/mTOR pathwayBiologyChemistryApoptosisMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

The HIN-1 gene encoding a small, secreted protein is silenced due to methylation in a substantial fraction of breast, prostate, lung, and pancreatic carcinomas, suggesting a potential tumor suppressor function. The receptor of HIN-1 is unknown, but ligand-binding studies indicate the presence of high-affinity cell surface HIN-1 binding on epithelial cells. Here, we report that HIN-1 is a potent inhibitor of anchorage-dependent and anchorage-independent cell growth, cell migration, and invasion. Expression of HIN-1 in synchronized cells inhibits cell cycle reentry and the phosphorylation of the retinoblastoma protein (Rb), whereas in exponentially growing cells, HIN-1 induces apoptosis without apparent cell cycle arrest and effect on Rb phosphorylation. Investigation of multiple signaling pathways revealed that mitogen-induced phosphorylation and activation of AKT are inhibited in HIN-1-expressing cells. In addition, expression of constitutively activate AKT abrogates HIN-1-mediated growth arrest. Taken together, these studies provide further evidence that HIN-1 possesses tumor suppressor functions, and that these activities may be mediated through the AKT signaling pathway.

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 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 score0.010
Threshold uncertainty score0.324

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 head0.066
GPT teacher head0.374
Teacher spread0.309 · 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

Citations65
Published2005
Admission routes1
Has abstractyes

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