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BRM promoter insertion/deletion polymorphisms in hepatocellular carcinoma risk and survival.

2014· article· en· W2274984007 on OpenAlexaffabout
Kit Man Wong, Geoffrey Liu, Jonghun John Lee, Osvaldo Espin‐Garcia, Yonathan Brhane, Dangxiao Cheng, Zhuo Chen, Devalben Patel, Catherine Brown, Amy Wong, David Reisman, Wei Xu, Jennifer J. Knox, Sean P. Cleary

Bibliographic record

VenueJournal of Clinical Oncology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of TorontoUniversity Health NetworkPrincess Margaret Cancer CentreOntario Institute for Cancer Research
Fundersnot available
KeywordsMedicineOncologyHepatocellular carcinomaInternal medicineOdds ratioProportional hazards modelHazard ratioLogistic regressionConfidence interval

Abstract

fetched live from OpenAlex

225 Background: MEF2D and HDAC9 regulate the expression of BRM, the catalytic subunit of SWI/SNF (chromatin remodeling complex). MEF2D binding sites are created in the BRM promoter by two germline insertion/deletion polymorphisms (BRM-741, BRM-1321), which mediate epigenetic silencing. We recently identified BRM as a potential drug target and a susceptibility gene for lung and head and neck cancers, while others reported its association with HCC risk in Asians. BRM also correlates with prognosis in lung and esophageal cancers (ASCO 2013; abstracts 11057, 4077). In this analysis, we assessed the effects of the BRM promoter variants on risk and overall survival (OS) in HCC from a North American centre (Toronto). Methods: We conducted a case-control study with 266 histologically confirmed HCC cases and 536 age/sex distribution-matched healthy controls. Survival of the cases was obtained from medical records. Association between the BRM polymorphisms and HCC risk was analyzed by multivariate logistic regression adjusted for age, sex, race, smoking and BMI; their impact on OS was evaluated by Cox proportional hazard regression adjusted for age, sex, treatment intent and Hepatitis B status. Results: Median age was 62 years; 83% were male. Hepatitis B and C infections affected 34% and 31% of cases, respectively. 83% of patients were Child Pugh A at diagnosis, and 66% received initial curative therapy (surgical resection rate 32%). There were 13% deaths at a median follow-up of 24.1 months. There was no significant association between BRM polymorphisms and HCC risk: the adjusted risk odds ratios of the homozygous BRM variants, relative to wild-type, were 0.87 (95% CI: 0.53-1.45; BRM-741) and 1.01 (95% CI: 0.78-1.29; BRM-1321), and 0.94 (95% CI: 0.48-1.86) for the double homozygotes vs. double wild-type. The adjusted hazard ratios for OS were 5.77 (95% CI: 2.9-11.5; BRM-741) and 4.09 (95% CI: 2.2-7.5; BRM-1321) for each variant allele; the double homozygotes were also highly associated with OS compared to double wild-type (p<0.0001). Conclusions: Two functional BRM promoter polymorphisms did not increase the risk of HCC. However, they were strongly associated with OS despite short median follow-up. SPC and RH are co-senior authors.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.147
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.045
GPT teacher head0.358
Teacher spread0.312 · 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.

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".

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Citations0
Published2014
Admission routes2
Has abstractyes

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