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Record W3009187007 · doi:10.21873/anticanres.14094

Association Between the Functional <i>miR-146a</i> SNP <i>rs2910164</i> and Risk of Digestive System Cancer: Updated Meta-analysis

2020· review· en· W3009187007 on OpenAlex
Robin Park, Laércio Lopes da Silva, Anwaar Saeed

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnticancer Research · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisOdds ratioFunnel plotSubgroup analysisPublication biasMedicineInternal medicineCancerOncology

Abstract

fetched live from OpenAlex

BACKGROUND/AIM: Previous association studies have linked the functional miR-146a SNP rs2910164 with risk of digestive system cancer; however, the results of these studies are inconclusive and inconsistent. The objective of the following study is to provide an up-to-date and comprehensive meta-analysis of the association of miR-146a rs2910164 and digestive system cancer risk. PATIENTS AND METHODS: We searched the PUBMED/MEDLINE and Cochrane/EBM databases. The following inclusion criteria were used for the study selection: i) Case-control studies; ii) studies with reported allelic frequency/genotype data; and iii) studies with reported association with risk of a digestive system cancer. The following exclusion criteria were used: Review article, meta-analysis, case report and case series; studies evaluating relationships of miR-146a rs2910164 with outcomes other than cancer incidence, such as cancer morbidity or mortality. Study quality was assessed using the Newcastle-Ottawa Scale and publication bias assessed graphically and numerically using Begg's funnel plot and Egger's regression test and rank test. Outcome measure was the pooled odds ratios under the allelic frequency, dominant, recessive, and over-dominant models. Subgroup analysis was conducted for country of study origin. RESULTS: No association of miR-146a rs2910164 with overall risk of digestive system cancer was identified. However, subgroup analysis showed an association with overall risk in the European population in the over-dominant model. Furthermore, miR-146a rs2910164 was associated with reduced risk of gastric cancer in the dominant model (pooled odds ratio=0.91, 95% confidence intervaI=0.83-0.99), increased risk of colorectal cancer under the recessive model and reduced risk of colorectal cancer under the over-dominant model in the European population. No significant within-study or publication biases were detected. CONCLUSION: miR-146a rs2910164 was not associated with overall risk of digestive system neoplasms. However, the GG genotype and the CC genotype may be linked to higher risk of gastric cancer and colorectal cancer, respectively; and the CG genotype may be protective against digestive system neoplasms overall in the European population, especially for colorectal cancer.

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)0.002
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.719
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.134
GPT teacher head0.404
Teacher spread0.270 · 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