Abstract 1527: Investigation the role of prostate cancer derived exosomes on their tumor microenvironment.
Notice bibliographique
Résumé
Abstract Introduction: Prostate cancer (PCa) is the leading type of cancer diagnosed in men. In 2012, approximately 241,740 new cases of PCa will be diagnosed in the United States. Prompt diagnosis of the disease can substantially improve its clinical outcome. Improving capability for early detection, as well as developing new therapeutic targets in advanced disease are research priorities that will ultimately lead to better patient survival. Eukaryotic cells secrete proteins via distinct regulated mechanisms which are either ER/Golgi dependent or microvesicle mediated. The release of microvesicles has been shown to provide a novel mechanism for intercellular communication. Exosomes are nanometer sized cup-shaped membrane vesicles which are secreted from normal and cancerous cells. They are present in various biological fluids such as serum, milk, urine, malignant ascites and amniotic fluid. Recent studies have demonstrated that cancerous cells secret exosomes which may be differentiated from those derived from normal cells upon their composition. Therefore, exosomes could be used in facilitating early diagnosis via less invasive procedures or be candidates for novel therapeutic approaches for different pathological disorders. Studies on tumour-related microvesicles suggest that exosomes play a significant role in paracrine signaling pathway thus potentially influencing cancer progression via different mechanisms. Methods and Results: Exosomes were purified from the conditioned media (CM) from different PCa cell lines after 72 hours in serum free media treatment. Using differential centrifugation cell debris and protein aggregates were removed from CM. Finally exosomes were isolated in a 30% sucrose cushion using ultracentrifugation. Further analysis using transmission electron microscopy validated the integrity of purified exosomes. Western blot analysis was also used to probe for different exosome markers. Proteomic mass spectrometry of exosomes reveals that exosomes derived from specific PCa cells present potential markers of PCa progression. Transfer of exosomes to non-identical cells in culture was visualised using confocal microscopy of fluorescence labeled exosomes as well as exosomal GFP tagged protein. Phenotypic change in recipient cells was studied upon exposure to exosomes derived from non-identical prostate cell lines and an impact on cell survival pathways associated with tumor microenvironment were observed. Conclusion: This study revealed that PCa derived exosomes represent a conduit for protein/genetic information transfer into their tumor microenvironment conferring pro-cell survival and metastasis. Citation Format: Elham Hosseini-Beheshti, Christine Liu, Hans Adomat, Emma S. (Tomlinson) Guns. Investigation the role of prostate cancer derived exosomes on their tumor microenvironment. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1527. doi:10.1158/1538-7445.AM2013-1527
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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».