L'influence du récepteur à l'oestrogène [alpha] sur la dynamique chromatinienne dans les cancers du sein hormono-dépendents
Bibliographic record
Abstract
The human genome is organised into a DNA-protein complex called chromatin, of which the main repeating unit is the nucleosome. Chromatin is generally repressive to gene expression, rendering RNA Polymerase II regulatable gene expression dependent on chromatin remodelling complexes. These complexes will displace nucleosomes or change the nucleosomal structure by incorporating histone variants or by the post- translational modification of histone. Chromatin remodelling works in concert with transcription activators on regulatory elements of regulatable genes. The histone variant H2A.Z has a major role in creating a permissive structure at gene regulatory elements. Conversely, the di- and tri-methylation of histone H3 lysine 27 (H3K27) has a repressive effect on gene regulation, but can be reversed by the recently identified demethylase, JMJD3. The steroid hormone estrogen (E2) and its intracellular receptor estrogen receptor [alpha] (ER[alpha]) stimulate transcription of target genes by promoting local changes in hormone-responsive promoters embedded in chromatin. ER[alpha]-dependent cancers demonstrate deregulated proliferation, and the treatment of these cancers with anti-estrogens (AE) occasionally leads to resistant cancer subtypes. H2A.Z overexpression has been associated with ER[alpha] target gene expression and breast cancer. In addition, an interesting link exists between ER[alpha] and H3K27me3 related chromatin remodelling complexes. We thus hypothesized that ER[alpha]-mediated transcription in normal and antiestrogen-resistant breast cancer implicates the modification of chromatin signatures on target genes and results in proliferation. We observed that H2A.Z overexpression is related to ER[alpha] levels and leads to increased proliferation in low E2 concentrations and in the presence of the AE tamoxifen. We also show that the perturbation of a repressive epigenetic mark that normally controls the expression of the proto-oncogene BCL2 in response to E2 leads to its constitutive transcriptional activation and deregulation of the apoptosis program in AE-resistant breast cancer cells. Therefore my doctoral studies present the following conclusions: (1) epigenetic modifications are useful prognostic markers for breast cancer severity; (2) the deregulation of these modifications leads to carcinogenesis; and (3) continued deregulation of these pathways can lead to more severe breast cancer and AE resistance.
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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) | 0.002 | 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".