MétaCan
Menu
Back to cohort
Record W3038168943 · doi:10.21873/anticanres.14351

Gene Polymorphisms and Circulating Levels of MMP-2 and MMP-9: A Review of Their Role in Breast Cancer Risk

2020· review· en· W3038168943 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.

Bibliographic record

VenueAnticancer Research · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBreast cancerOncologyMetastasisCarcinogenesisInternal medicineCancerMatrix metalloproteinaseAlleleMedicineDiseaseCase-control studyBiologyGeneGenetics

Abstract

fetched live from OpenAlex

MMP-2 and MMP-9 genes have been suggested to play a role in breast cancer. Their functions have been associated with invasion and metastasis of breast cancer; however, their involvement in the development of the disease is not well-established. Herein, we reviewed the literature investigating the association between circulating levels and polymorphisms of MMP-2 and MMP-9 and breast cancer risk. Various studies report conflicting results regarding the relationship of polymorphisms in MMP-2 and MMP-9 and breast cancer risk. Nevertheless, it appears that the T allele in rs243865 and rs2285053 in MMP-2 are associated with reduced risk of breast cancer. In addition, high levels of latent form and low levels of active form of MMP-2 were observed in breast cancer patients compared to controls. For MMP-9, high latent levels and low total levels were found in breast cancer patients compared to controls. Additional studies are needed to comprehend the role of these genes in breast carcinogenesis.

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 score0.931
Threshold uncertainty score0.820

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 head0.070
GPT teacher head0.390
Teacher spread0.320 · 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