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Microrna-198: A novel tumor suppressor in prostate cancer.

2018· article· en· W2789850132 on OpenAlexaff
Jessica Ray, Christianne Hoey, Xiaoyong Huang, Paul C. Boutros, Stanley K. Liu

Bibliographic record

VenueJournal of Clinical Oncology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreOntario Institute for Cancer ResearchUniversity of Toronto
Fundersnot available
KeywordsLNCaPDU145Cancer researchGene knockdownProstate cancermicroRNABiologyCell growthCancerGene silencingCarcinogenesisTumor suppressor geneChromoplexyCell culturePCA3GeneGenetics

Abstract

fetched live from OpenAlex

92 Background: microRNAs (miRNAs) are small non-coding RNA molecules which act as repressors of gene function, and have been identified as playing substantial roles in cancer as both tumor suppressors and oncogenes. miR-198 has been reported to be down-regulated in several cancers, with low expression associated with worse overall survival. In addition, miR-198 has demonstrated tumor suppressor effects by altering several hallmarks of cancer. Despite compelling evidence in other cancers, miR-198's role in prostate cancer aggression has not yet been evaluated. Methods: Experiments were conducted by overexpressing miR-198 in three prostate cancer cell lines: DU145, LNCaP and 22RV1. To examine miR-198's effect on hallmarks of cancer in vitro, we used standard protocols to assay proliferation, colony formation, cell cycle profile, migration, and invasive potential. Gene array, qPCR, western blotting, and siRNA knockdown experiments were used to establish miR-198 downstream targets. Results: Overexpression of the candidate tumor suppressor miR-198 diminished proliferation in all prostate cancer cell lines and significantly impaired colony formation in soft agar. Subsequently, miR-198 expression was also demonstrated to reduce growth and tumor formation in vivo using LNCaP xenografts. Gene arrays and in silico target prediction identified several candidate targets, none of which have been previously linked to miR-198. MIB1, an E3 ubiquitin ligase, was the only target we have since identified to be reduced with miR-198 overexpression at both the RNA and protein levels. Knockdown of MIB1 recapitulated miR-198's effects on proliferation and colony formation, and further experiments are underway to demonstrate a direct binding relationship. An additional gene array with MIB1 siRNA will be performed to highlight pathways through which MIB1/miR-198 suppress tumorigenesis. Conclusions: Our evidence supports miR-198 as an important tumor suppressor in prostate cancer, with elevated expression impairing proliferation, colony formation, and in vivo tumor formation. This investigation into miR-198 highlights a potential role as a prostate cancer biomarker, or as a potential target of therapeutics to restore miRNA activity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.069
GPT teacher head0.462
Teacher spread0.393 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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