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Record W2567026559 · doi:10.1158/1538-7445.am2015-3110

Abstract 3110: Urinary miR-1825 and miR-484: An oncogene and a tumor- suppressor gene among prostate cancer patients

2015· article· en· W2567026559 on OpenAlexaff
Moemen Abdalla, Taha Haj-Ahmad, Yousef Haj-Ahmad

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsBrock University
Fundersnot available
KeywordsmicroRNAProstate cancerOncogeneDDR1BiologyGene expressionCancerCancer researchGene expression profilingGeneMicroarrayProstateGeneticsCell cycleReceptor

Abstract

fetched live from OpenAlex

Abstract MicroRNAs (miRNAs) are short, single-stranded RNA molecules with the ability of acting as post-transcriptional regulators of gene expression. MiRNAs regulate a number of important pathways, such as: cellular differentiation, proliferation, and apoptosis. MiRNA expression profiling patterns were demonstrated to have more potential than the common mRNA expression profiling for the characterization of poorly differentiated tumours. Studying miRNA expression profiles “signatures” will help in understanding the role of these miRNAs in the process of cancer development. The aim of this study was to profile the urinary miRNA expression signatures among prostate cancer patients in comparison to healthy male individuals. To identify the miRNA signatures specific for PCa, total RNA was isolated from 2.5mL of urine from all prostate cancer patients and from healthy males. RNA isolated from each group were pooled together and the differential expression analysis of miRNAs between the pooled samples was performed using MiRNA Microarray technology. Differential expression of two individual miRNAs, miR-1825 and miR-484, was observed between healthy males and prostate cancer patients. The relative expression of these two miRNAs were assessed among among the prostate cancer group and the healthy male group using RT-qPCR. MiR-1825 was up-regulated in seven out of eight PCa samples (88%), whereas miR-484 was down-regulated in six out of the eight PCa samples (75%). It has been found that the putative target for miR-1825 is member-1 of the Discoidin Domain family of Receptors (DDR1). The over-expression of DDR1 was reported to be a prognostic marker for the poor survival in several cancer types and therefore is proposed that miR-1825 might function as a tumor-suppressor by normally or in response to cancer, inhibiting DDR1's translation. As for miR-484, E3 ubiquitin-protein ligase (UBR5), which is thought to be involved with DNA repair, has been found to be the putative target for miR-484. It has be reported that the over-expression of a mutated version of UBR5 was found in breast and ovarian cancers where its deregulation was cited as a possible cause of malignant progression. It is therefore being proposed that miR-484 might function as a tumor- suppressor whereby its expression controls progression via the regulation of genes, such as UBR5, that have already been potentially associated with cancer progression. Citation Format: Moemen Abdalla, Taha A. Haj-Ahmad, Yousef Haj-Ahmad. Urinary miR-1825 and miR-484: An oncogene and a tumor- suppressor gene among prostate cancer patients. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3110. doi:10.1158/1538-7445.AM2015-3110

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.362
Teacher spread0.319 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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