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Record W4212983325 · doi:10.1139/bcb-2021-0552

BRD4 promotes the migration and invasion of bladder cancer cells through the Sonic hedgehog signaling pathway and enhances cisplatin resistance

2022· article· en· W4212983325 on OpenAlexvenueno aff
Tiantian Liu, Ze Zhang, Chong Wang, Houbao Huang, Yawei Li

Bibliographic record

VenueBiochemistry and Cell Biology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
FundersNatural Science Foundation of Anhui ProvinceWannan Medical CollegeAnhui UniversityNational Natural Science Foundation of China
KeywordsSonic hedgehogCancer researchCisplatinHedgehog signaling pathwayBladder cancerDownregulation and upregulationVismodegibBiologyCancerChemistrySignal transductionCell biologyChemotherapyBiochemistry

Abstract

fetched live from OpenAlex

Platinum-based chemotherapy is a widely used strategy for bladder cancer (BCa) treatment. However, its clinical efficacy is affected by chemotherapy resistance via complex molecular mechanisms. Therefore, there is an urgent need to explore new targets for BCa therapy. Here, we showed that bromodomain-4 protein (BRD4) expression is upregulated in BCa tissues and cells. Inhibition of BRD4 attenuated the migration and invasion of BCa cells, which was rescued by the Sonic hedgehog (SHH) pathway activator recombinant human Sonic hedgehog peptide (rhSHH). We further found that cisplatin (DDP) suppressed the migration and invasion of BCa cells in vitro and inhibited tumor growth in vivo. However, overexpression of BRD4 weakened the pharmacological effects of DDP. In brief, our research revealed that BRD4 promotes migration and invasion by positively regulating the SHH pathway, drives DDP resistance in BCa, and is a novel therapeutic target for the treatment of BCa.

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 score0.001
Threshold uncertainty score0.004

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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