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Hypoxia Signaling and the Metastatic Phenotype

2014· review· en· W2156599555 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Molecular Medicine · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsHypoxia (environmental)MetastasisSignal transductionCancer researchCellular adaptationCancer cellPhenotypeHypoxia-inducible factorsMediatorBiologyTumor hypoxiaCell biologyCancerMedicineGeneChemistryInternal medicineOxygenGenetics

Abstract

fetched live from OpenAlex

Conditions of poor oxygenation (hypoxia) are present in the majority of solid human tumors and are associated with poor patient prognosis due to both hypoxia-mediated resistance to treatment, and to hypoxia induced biological changes that promote increased malignancy, including metastasis. Tumor cells respond to hypoxia by activating several oxygen-sensitive signaling pathways that include the hypoxia inducible factor 1/2 (HIF1/2) signalling pathways and the unfolded protein response (UPR), which alter gene expression to promote adaptation and survival during hypoxic conditions. Furthermore, these hypoxia responsive pathways can lead to changes in gene expression and cellular phenotype that influence the potential of cancer cells to metastasize. However, the hypoxia-induced signaling events that promote tumor metastasis are still relatively poorly understood. Previous studies have largely focused on the contribution of the HIF signaling pathway to hypoxia-mediated metastasis. However, recent evidence demonstrates that hypoxic activation of the UPR is also an important mediator of metastasis.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
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 head0.032
GPT teacher head0.335
Teacher spread0.303 · 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