Upper limb modelling, dynamic analysis, and force distribution using fuzzy logic
Notice bibliographique
Résumé
Breast cancer is a hormonally responsive cancer and hormones, including estrogen, are required for breast cancer growth. The evolution of breast cancer into an estrogen-independent growth phenotype is thought to be an important step in the progression of breast cancer to hormone-independence and endocrine therapy resistance. Understanding the factors that contribute to the development of an estrogen-nonresponsive growth phenotype is of major importance in terms of breast cancer therapeutics. Resistance to endocrine therapies may be due to a number of factors, including loss of estrogen receptor-alpha (ER-_) expression, but most tumours that have developed resistance to endocrine therapy remain ER-_ positive. The mechanisms responsible for the development of estrogen-independence in the presence of continued expression of ER-_ are poorly understood. In order to address this, a breast cancer cell model of apparent estrogen-independence was developed. An estrogen-nonresponsive cell fine, T5-PRF, was developed from T5 (ER-_) positive and estrogen-responsive) human breast cancer cells by chronically depleting the cells of estrogen in long-term culture. The T5-PRF cells are insensitive to the growth-stimulatory effects of estrogen while still retaining expression of the (ER-_) The tissue matrix consists of linkages and interactions of the nuclear matrix (NM), cytoskeleton and extracellular matrix. This system is a dynamic structural and functional component of the cell that maintains and coordinates cell function and gene expression. The (ER-_) is localized to the NM and studies suggest that alterations in NM proteins may influence gene expression. Three proteins (identified as cytokeratins 8, 18 and 19) present in the NM-intermediate filament (NM-IF) fraction were found to be regulated by estrogen in T5 human breast cancer cells. However, T5-PRF, estrogen-nonresponsive cells, overexpressed these three proteins compared to T5 cells, and these proteins were no longer regulated by estrogen in T5-PRF cells. Treating T5 cells with antiestrogens resulted in a significant reduction in these proteins, while no effect was seen in T5-PRF cells, supporting the conclusion that these three NM-IF proteins are regulated by estrogen in T5 human breast cancer cells and may play a role in estrogen action in human breast Comm cells. T5-PRF cells were also found to have significantly increased ligand-independent (ER-_) activity. In addition, an ER-_ mRNA variant with an inframe deletion of exons 3 and 4 was detected in T5-PRF, but not T5, human breast cancer cells. Recombinant expression of this (ER-_) variant in T5 human breast cancer cells increased estrogen-dependent and -independent reporter gene expression, suggesting that the presence of this (ER-_) mRNA variant may contribute to anestrogen-independent growth phenotype. Furthermore, T5-PRF human breast cancer cells contained elevated mitogen-activated protein kinase (MAPK) activity. The MAPK signal transduction pathway can be activated by estrogen in human breast cancer cells and may be involved in the regulation of ER-_ transcriptional activity through both ligand-dependent and independent pathways, suggesting that increased activity of MAPK may contribute to the ligand-independent activity of the ER-_ in T5-PRF cells. In conclusion, T5-PRF human breast cancer cells contain several changes compared to parental T5 cells, which may all contribute to an estrogen-nonresponsive growth phenotype and affect the transcriptional activity/regulation of the (ER-_)
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».