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Record W2513783925 · doi:10.13034/jsst.v9i1.107

The role of microRNA-449 in Human Breast Cancer

2016· article· en· W2513783925 on OpenAlexvenueaboutno aff
Ajay M. Shah

Bibliographic record

VenueJournal of Student Science and Technology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerCancerMessenger RNAmicroRNAMedicineCancer researchBiologyInternal medicineOncologyMolecular biologyGynecologyGeneGenetics

Abstract

fetched live from OpenAlex

In 2010, an estimated 173 800 cases of cancer were diagnosed in Canada and 76 200 of these cases were expected to be fatal. Current treatment options are often very invasive, harmful, and ineffective. The purpose of this experiment was to mitigate tumour growth by manipulation of micro-RNA (mRNA) levels. mRNAs are small proteins, and levels of specific mRNAs are deregulated in cancer cells. In this experiment, levels of micro-RNA 449, which is deregulated in breast cancer cell lines, were returned to their baseline levels. Numerous tests were then conducted to test the viability of the resulting cells. Replicable experiments showed that the strength, motility and invasiveness of the breast cancer cells was greatly diminished after mRNA-449 levels returned to baseline levels. Furthermore, research indicated that 4 potential genes (CRIP2, XBP1, TAF4B, and SFXN2) can be manipulated in future experiments to further diminish the viability of the breast cancer tumours. En 2015, 25220 cas estimés de cancer du sein ont été diagnostiqués au Canada et 5060 de ces cas étaient prévus d’être fatales. Les options de traitement courantes sont souvent très envahissantes, nuisibles et inefficaces. L’objet de cette expérience était d’atténuer la croissance de la tumeur en manipulant les niveaux d’ARN-Micro. ARNm sont de petites molécules qui codent pour des protéines et en cellules de cancer, les niveaux de certains ARNms sont dérégulés. Les niveaux d’ARN-micro 449, qui sont dérégulés dans les lignées cellulaires de cancer du sein, ont été retournées à leurs niveaux de base dans cette expérience. La viabilité des cellules ainsi obtenues a été analysé par plusieurs tests. Les expériences reproductibles ont indiqué que la force, la mobilité et le caractère invasif des cellules de cancer du sein ont été diminués après que les niveaux d’ARN-micro 449 sont retournés à leurs niveaux de base. En outre, l’étude a révélé que quatre gènes potentiels (CRIP2, XBP1, TAF4B, et SFXN2) pourraient être manipulés à l’avenir pour réduire davantage la viabilité des tumeurs du cancer du sein.

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 score0.002
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.273
Teacher spread0.269 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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