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Record W3171014876 · doi:10.1093/cdn/nzab036_029

BRUNOL5 as a Novel Oncogene Is Epigenetically Regulated by Stilbenoids in Primary Liver Cancer Cells

2021· article· en· W3171014876 on OpenAlexaff
T.Y. Yang, Cayla Boycott, Katarzyna Lubecka, Barbara Stefañska

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyOncogeneGene knockdownDNA methylationPterostilbeneMolecular biologyCancerCancer cellResveratrolGene expressionCancer researchGenePromoterCell growthMethylationCell cycleGeneticsBiochemistry

Abstract

fetched live from OpenAlex

We previously discovered that a novel gene, BRUNOL5, is hypomethylated at the promoter region and upregulated in patients with primary liver cancer. Since DNA hypomethylation was shown to underlie up-regulation of genes with oncogenic functions, BRUNOL5 could potentially act as an oncogene. Interestingly, certain dietary compounds such as polyphenols with a stilbenoid ring have been demonstrated by us and others to suppress hypomethylated cancer-driving genes. In the present study, we investigate BRUNOL5 oncogenic functions and the role of two stilbenoids, resveratrol (RSV) and pterostilbene (PTS), in BRUNOL5 transcriptional regulation. Liver cancer cells, HepG2 and SkHep1, were treated with 15µM RSV or 10µM PTS for 9 days followed by the analysis of cell growth (trypan blue exclusion test), anchorage-independent growth (soft-agar assay), and invasiveness (Boyden chamber assay). The effect on BRUNOL5 promoter methylation and gene expression was assessed by pyrosequencing and QPCR, respectively. BRUNOL5 was then depleted in HepG2 cells using siRNA followed by RNA sequencing to establish gene expression profiles. BRUNOL5 was down-regulated by 95% in response to RSV and by 25–50% in response to PTS. This coincided with 10–15% hypermethylation of BRUNOL5 promoter. This effect on BRUNOL5 transcriptional regulation was associated with robust decrease in cell growth, anchorage independent growth and invasiveness. Interestingly, depletion of BRUNOL5 in HepG2 cells mimicked polyphenols’ anti-cancer effects. Further investigation by RNA sequencing in BRUNOL5-depleted cells established gene targets potentially regulated by BRUNOL5. We found 4,406 genes significantly differentially expressed in response to BRUNOL5 knockdown. The top downregulated genes included cancer-promoting genes such as FAIM2, AMOTL1, and MMP2; whereas tumor suppressor genes such as MT1G, CADH1, and ALDH1L1 were among genes with the highest upregulation. Our findings demonstrate that BRUNOL5 is a novel target of stilbenoids and acts as an oncogene in liver cancer. RSV and PTS may exert their anti-cancer effects, at least partially, through BRUNOL5 downregulation. UBC VP Academic Award, CFI John. R. Evans Leaders Fund, and BC Knowledge Development Fund granted to BS

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.270
Teacher spread0.256 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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