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Record W4394340766 · doi:10.6084/m9.figshare.7930874

circ-BIRC6, a circular RNA, promotes hepatocellular carcinoma progression by targeting the miR-3918/Bcl2 axis

2019· dataset· en· W4394340766 on OpenAlexaff
Guangsheng Yang, Xin Wang, Bingqi Liu, Zhihua Lu, Zongzhen Xu, Peng Xiu, Zhiqian Liu, Jie Li

Bibliographic record

VenueFigshare · 2019
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHepatocellular carcinomaCircular RNAmicroRNAHepatic carcinomaBiologyCancer researchGeneGenetics

Abstract

fetched live from OpenAlex

Circular (circ)RNA is a special type of endogenous RNA consisting of a covalently closed loop structure without 5‘ to 3‘ polarity and a polyadenylated tail. Accumulating evidence suggests that circRNAs play important roles in the development and progression of human cancers. However, the role of circRNAs in the progression of hepatocellular carcinoma (HCC) is largely unknown. This was addressed in the present study using high-throughput sequencing to identify aberrantly expressed circRNAs in HCC patient tissue and cell lines. We found that circ-baculoviral IAP repeat-containing (BIRC)6 was upregulated in HCC tissue samples and cells; this was associated with the overall survival of HCC patients. circ-BIRC6 knockdown reduced HCC cell proliferation, migration, and invasion and enhanced their apoptosis. Additionally, circ-BIRC6 overexpression negatively regulated the expression of microRNA miR-3918, which was identified as an inhibitor of B cell lymphoma (Bcl)2. The tumor-suppressive effect of circ-BIRC6 deletion was abrogated by inhibiting miR-3918. These results indicate that circ-BIRC6 functions as a competing endogenous RNA that regulates Bcl2 expression by sponging miR-3918, and may serve as a prognostic biomarker and therapeutic target for the treatment of HCC.

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 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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations4
Published2019
Admission routes1
Has abstractyes

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