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Record W1989519887 · doi:10.1158/1538-7445.am10-2059

Abstract 2059: The role of microRNA-196b in cervical cancer

2010· article· en· W1989519887 on OpenAlexaff
Christine How, Angela BY Hui, Anthony Fyles, Fei‐Fei Liu

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer ResearchUniversity of Toronto
Fundersnot available
KeywordsmicroRNABiologyTransfectionUntranslated regionIn silicoLuciferaseThree prime untranslated regionMolecular biologyCervical cancerCancerCancer researchGeneMessenger RNABioinformaticsGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction: MicroRNAs (miRs) are ∼22-nucleotide, non-coding RNAs that regulate gene expression post-transcriptionally. Recent data have indicated that miRs are aberrantly expressed in almost all human malignancies, including cervical cancer. In order to better understand how miRs might mediate tumor progression in cervical cancer, dysregulated miRs were identified and functional studies performed for miR-196b. Experimental Procedures: miR expression was measured in 3 cervical cancer cell lines (SiHa, ME-180 and HT3) and 3 normal cervix tissues using a quantitative real-time PCR approach examining 365 miRs and 3 endogenous controls. SiHa cells were transfected with Pre-miR miRNA Precursor Molecules (Ambion) to determine the effects of miR-196b overexpression. Candidate miR-196b targets were elucidated using a tri-pronged approach combining in silico target prediction algorithms, clinical mRNA expression data, and in vitro mRNA expression data following transfection of cell lines. To test for direct binding of miR-196b to the HOXB7 3’ UTR, a luciferase reporter assay was performed. Reporter vectors were constructed containing either the HOXB7 3’ UTR sequence (pMIR-REPORT-HOXB7/UTR), or the HOXB7 3’ UTR sequence with a mutation in the predicted miR-196b binding site (pMIR-REPORT-HOXB7/mut). SiHa cells were serially transfected with: a) miR-196b pre-miR or negative control pre-miR, and b) pMIR-HOXB7/UTR or pMIR-HOXB7/mut, and luciferase activity was measured 24 hours later. To determine the effect of knocking down HOXB7, SiHa cells were transfected with siHOXB7 (Qiagen). Results: Twenty-seven miRs were observed to be downregulated in all three cell lines compared to normal cervix. One of the 27 downregulated miRs, miR-196b, was shown to inhibit cell growth and colony-forming ability when overexpressed in SiHa cells. HOXB7 was identified as one of the candidate targets of miR-196b using our tri-pronged approach. Knocking down HOXB7 recapitulated the inhibition in cell growth and clonogenicity that was observed following mir-196b overexpression. When the luciferase reporter assay was performed, miR-196b overexpression resulted in a significant reduction in luciferase activity in cells transfected with pMIR-HOXB7/UTR, but not in cells transfected with pMIR-HOXB7/mut, demonstrating direct and specific binding of miR-196b to the 3’ UTR of HOXB7. Conclusion: miR-196b is downregulated in cervical cancer and negatively regulates HOXB7. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2059.

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 score0.003
Threshold uncertainty score0.009

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.022
GPT teacher head0.371
Teacher spread0.349 · 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".

Quick stats

Citations2
Published2010
Admission routes1
Has abstractyes

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