Association of two BRM promoter polymorphisms with head and neck squamous cell carcinoma risk
Bibliographic record
Abstract
The SWI/SNF chromatin remodeling complex is an important regulator of gene expression that has been linked to cancer development. Expression of Brahma (BRM), a critical catalytic subunit of SWI/SNF, is lost in a variety of solid tumors. Two novel BRM promoter polymorphisms (BRM-741 and BRM-1321) have been correlated with BRM loss and elevated cancer risk. The aim(s) of this study were to examine BRM expression in head and neck squamous cell carcinoma (HNSCC) and to correlate BRM polymorphisms with HNSCC risk. BRM expression studies were performed on eight HNSCC cell lines and 76 surgically resected tumor samples. A case-control study was conducted on 668 HNSCC patients (oral cavity, oropharynx, larynx and hypopharynx) and 700 healthy matched controls. BRM expression was lost in 25% of cell lines and 16% of tumors. The homozygous genotype of each polymorphism was significantly associated with increased HNSCC risk [BRM-741: adjusted odds ratio (aOR) 1.75, 95% CI 1.2-2.3, P < 0.001; BRM-1321: aOR 1.65, 95% CI 1.2-2.2, P < 0.001]. Individuals that were homozygous for both BRM polymorphisms had a more than 2-fold increase in the risk of HNSCC (aOR 2.23, 95% CI 1.5-3.4, P < 0.001). A particularly elevated risk was seen within the oropharynx, human papillomavirus-positive subgroup for carriers of both homozygous variants (aOR 3.09, 95% CI 1.5-6.8, P = 0.004). BRM promoter polymorphisms appear to act as susceptibility markers of HNSCC with potential utility in screening, prevention and treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".