Pax‐5 expression in neoplastic mammary cell lines in response to stimulations by estrogen or tamoxifen
Bibliographic record
Abstract
Pax‐5 is an important contributor to B cell development. Several studies have shown that the deregulated expression of Pax‐5 is implicated in onset of different types of cancers. Previously, we have observed that Pax‐5 expression in B‐cells increases dramatically upon estrogen stimulation, and that Pax‐5 is expressed in breast cancer cell lines while it is undetectable in normal mammary cell lines. Based on this evidence, we hypothesis that Pax‐5 may exercise a key role in mammary oncogenesis and that this abnormal function may be modulated by estrogen. In order to shed light on these initial findings, using quantitative real‐time RT‐PCR we have characterized the Pax‐5 expression profiles in several mammary cell lines following stimulation with estrogen and Tamoxifen. We have found that in each case, Pax‐5 expression is differentially modulated when comparing treated and untreated cells. Further to this, we are using oligonucleotide microarrays to identify the gene expression pathways influenced by the differential Pax‐5 expression in these cell lines. This research is supported by a Canadian Institute of Health Research (RPP) Grant and an Atlantic Innovation Fund Grant to RJO.
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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 | 0.001 |
| 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".