Different response of breast cancer cell lines to PMA treatment
Notice bibliographique
Résumé
B11 Breast cancer is the most common malignancy and accounts for 33% of all incident cancers in women in North America. Approximately one-third of women with breast cancer develop metastases and ultimately die from the disease. The current and future cancer treatment is mostly based on research on breast cancer cell lines so that their detailed molecular analysis may yield a better diagnostic test. There are several kinds of cell lines representing breast cancer. These cell lines have some common characteristics showing their breast cancer origin, like expressing milk proteins, but the cell lines show some discrepancies as well. Integrins are a large family of heterodimeric proteins that mediate cell-cell and cell-extra cellular matrix adhesion. αvβ3 is one of the integrins that is not expressed in high levels in normal tissues but in some cancer cells its higher expression is correlated directly to tumorogenecity. Although the expression of αvβ3 integrin and other related proteins have been studied in different cell lines, but there is not enough information on the effect/s of PMA on the expression of αvβ3 and different signaling proteins in breast cancer cell lines. In this paper three different kinds of breast cancer cell (BCC) lines; MDA-435, MDA-231, and MCF7 were treated with PMA. Beside these cell lines a non-breast cancer cell line (Hek-293) was studied along other cell lines for any possible differences. The time course PMA-treatment included, 30m, 1h, 2h, 4h and 6h. Western blot analysis and flow cytometry techniques were used to compare the level of αv, β3, αvβ3, Erk, phospho Erk, Src, phospho Src, Fak and phospho Fak proteins in these cells before and after PMA treatment. Flow cytometry and Western blot analysis revealed that all the cell lines express αv subunit, but only MDA-435 expressed αvβ3 integrin. PMA treatment increases αv level in MDA-435, while in other cell lines don’t change significantly. Western blot analysis demonstrated that MDA-231 expressed the highest level of FAK, which increases after a 1-2 hour exposure to PMA. The highest level of c-Src protein was detected in MDA-435 cells and the lowest in MCF7. PMA treatment increases c-Src level in MDA-435, and decreases in Hek-293. All the cell lines expressed detectable levels of Erk1/2, the level of which, did not change with PMA treatment. No phospho Erk was detected in untreated cells while PMA treatment resulted in a differential pattern of phospho Erk expression. PMA treatment induced Erk phosphorylation in MDA-435 and MCF7 after a 30 to 120 minutes, a gradual increase over six hours in MDA-231 cells, and at all times in Hek-293s.All the cell lines show the same level of Mek1/2 before or after PMA treatment, but only MDA-435 and MDA-231 show activation of phospho-Mek before PMA treatment. PMA treatment, resulted in phospho-Mek activation in MDA435 and Hek-293 after 30m to 4 h, after 30m to 2h in MDA-231, and barely detectable levels were detected in MCF7. Our results show that different cancer cell lines respond differently to PMA. These differences are more prominent in MAPK pathway (phospho Erk and phospho Mek). As MAP kinase pathway is one of the potential biomarker in cancer prevention, these findings may have applications in genetic epidemiology and prevention of breast cancer.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,002 |
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 ».