Expression and prognostic significance of Oct2 and Bob1 in multiple myeloma: implications for targeted therapeutics
Bibliographic record
Abstract
The B/plasma cell transcription factor Oct2 and its co-activator Bob1 activate the immunoglobulin heavy chain (IgH) gene enhancer. IgH translocations occur in the majority of myeloma cases, leading to overexpression of genes juxtaposed to the IgH enhancers. We hypothesized that Oct2 and Bob1 are determinants of disease behavior and potential therapeutic targets in myeloma. Oct2 and Bob1 gene expressions were measured in CD138+ plasma cells and CD138-cells from bone marrow samples from patients with myeloma (n = 37); gene expression of Oct2 and Bob1 was higher in CD138+ than in CD138-cells (p < 0.0001). Oct2 and Bob1 protein expressions were assessed in bone marrow tissue microarrays from patients with myeloma (n = 169) with fluorescent immunohistochemistry, and correlated to patient survival. High Oct2 protein expression correlated with reduced survival (hazard ratio [HR] 1.74, 95% confidence interval [CI] 1.11-2.73, p = 0.0164), whereas high Bob1 protein expression correlated with increased survival (HR 0.46, 95% CI 0.29-0.71, p = 0.0008). Oct2 should be explored as a potential selective therapeutic target in myeloma.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".