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Record W4205375279 · doi:10.7150/jca.57663

Oncogene or Tumor Suppressor: The Coordinative Role of Lysine Methyltransferase SET7/9 in Cancer Development and the Related Mechanisms

2022· review· en· W4205375279 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

VenueJournal of Cancer · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of Alberta
FundersSoutheast UniversityNational Natural Science Foundation of ChinaSaskatchewan Health Research Foundation
KeywordsEpigeneticsHistoneCancerHistone H3SuppressorMethylationLysineMethyltransferaseHistone methyltransferaseCancer researchBiologyHistone methylationCell biologyChemistryDNA methylationBiochemistryGeneticsGene expressionGeneAmino acid

Abstract

fetched live from OpenAlex

SET7/9 is a member of the protein lysine methyltransferase family that methylates both histone 3 lysine 4 (H3-K4) and lysine(s) of other non-histone proteins. In recent years, dis-regulation of SET7/9 were frequently detected in various cancer types and SET7/9-mediated methylation has been recognized as an important mechanism that affects cancer initiation and development through regulation of a series of cellular processes. Here we review the currently identified histone and non-histone protein targets of SET7/9 that are closely correlated with human cancer and the function of SET7/9 in regulating the expression and stability of its protein targets. The review also discusses the putative role of SET7/9 as an oncogene or tumor suppressor in the development of various cancer types and the underlying mechanisms, which may help better evaluate the potential of SET7/9 as a novel candidate for cancer therapy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.030
GPT teacher head0.345
Teacher spread0.315 · 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