BRG1 expression is increased in human cutaneous melanoma
Bibliographic record
Abstract
BACKGROUND: The SWI/SNF chromatin remodelling complex plays important roles in cellular processes including cell differentiation, cell cycle control and DNA repair. Aberrant expression of SWI/SNF subunits is involved in cancer development. The core subunit of the SWI/SNF complex, SNF5, has been shown to be inactivated in malignant rhabdoid tumours and has been defined as a tumour suppressor. However, the role of the catalytic subunit, BRG1, is not well defined in cancer. OBJECTIVES: To investigate the role of BRG1 in melanoma development, we examined the expression of BRG1 in melanocytic lesions at different stages and analysed the correlation between BRG1 expression and clinicopathological variables and patient survival. METHODS: Using tissue microarray and immunohistochemistry, we evaluated BRG1 staining in 48 dysplastic naevi, 90 primary melanomas and 47 metastatic melanomas. We studied melanoma cell proliferative ability with reduced BRG1 expression by small interfering RNA using cell proliferation assay and cell cycle analysis. RESULTS: We found that BRG1 expression was increased in primary melanoma and metastatic melanoma compared with dysplastic naevi (P<0·0001). We did not find any correlation between BRG1 expression and melanoma patient survival. In addition, we demonstrated that knockdown of BRG1 in melanoma cell lines resulted in significantly reduced cell proliferative ability. This reduced cell proliferation is due to G(1) phase arrest as cyclin D(1) is downregulated upon BRG1 knockdown. CONCLUSIONS: Our data indicate that BRG1 is significantly increased in human melanoma and is involved in melanoma initiation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".