Study of the activity of Estrogen Response Elements present on Pax‐5 promoter and their potential role on regulating Pax‐5 expression in breast cancer
Bibliographic record
Abstract
Pax‐5 is a transcription factor playing a crucial role in B lymphopoïesis and its deregulation has been associated to certain malignancies, namely non‐Hodgkin lymphomas and acute lymphoblastic leukemia. Although Pax‐5 is mainly known to be expressed in B cells, there is a body of preliminary data generated in our laboratory suggesting its expression in some breast cancer cell lines and primary breast tumors. In an attempt to explain Pax‐5 expression in these breast cancer cases, we analyzed its promoter and found a number of Estrogen Receptor Elements (EREs) and Estrogen Related Receptors sites (ERRs), suggesting a role for estrogen receptors in Pax‐5 expression in breast cancer. Therefore, electrophoretic mobility shift assays (EMSA) were performed to assess the binding capacity of estrogen receptors ERα and ERβ on those predicted sites, which were also cloned in the Luciferase reporter vector pGL3‐Promoter to evaluate the receptors activity by dual luciferase reporter assays. We report here the specific binding of estrogen receptors on some of the EREs located on Pax‐5 promoter and their differential activation under 17β‐estradiol stimulation in MCF‐7 cells. These results suggest a role for estrogen receptors in the expression of the oncogene Pax‐5 in breast cancer and suggest a mechanism that contributes to breast carcinogenesis. This work has been supported by an ''Atlantic Innovation Fund'' grant.
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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 | 0.000 | 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) | 0.001 | 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".