Abstract 6455: Characterization of extracellular vesicles derived from uveal melanoma cell lines
Notice bibliographique
Résumé
Abstract Purpose: Extracellular vesicles (EVs) are small (50nm-800nm) membrane-enclosed structures with highly heterogeneous content. Recently, the importance of EVs in tumor progression as well as biomarkers has become apparent in many malignancies. However, there has been very limited research done to investigate EVs derived from uveal melanoma (UM). UM is the most common primary intraocular tumor in adults, and it displays a high frequency of metastases to the liver. The aim of this study was (i) to characterize the protein signatures of UM cell line-derived EVs to determine potential biomarkers, (ii) to determine EV uptake by recipient cell lines, (iii) to analyze the activation of the MAPK pathway in the recipient cells, and to examine the potential of UM EV-educated BRCA1 deficient fibroblasts (Fibro-BKO) to develop tumors in NOD-SCID mice. Methods: EVs were isolated from the conditioned media of UM cell lines (MP41, MP46, 92.1, MEL285, MEL270, OMM2.5) and normal choroidal melanocytes cells using an ultracentrifugation method. Western blots and immunogold-labelling Transmission Electron Microscopy were employed to validate various EV markers (CD63, CD81 and TSG101). Proteomic analysis by mass spectrometry was performed to determine the UM-derived EV proteome signature that could elucidate potential key players in UM metastasis. After exposure to EVs, recipient cells were analysed for the activation of downstream signaling pathways, and were inoculated in NOD-SCID mice to analyze their behaviour. Results: We observed 2069 proteins in EVs using Scaffold Viewer. FUNRich analysis revealed that 95% of these EV proteins were found in the Vesiclepedia database. Gene Ontology analysis confirmed the presence of exosomal markers (CD81, TSG101and Syntenin) as well as cell-cell adhesion-related proteins. The DAVID Functional Annotation chart revealed proteins related to endocytosis, PI3K-Akt signaling pathway and focal adhesion. In addition, we observed high hits in HSP90 and HSP70, well-known biomarkers in UM. Integrin alpha V, which are known for preparing premetastatic niches in the liver environment, were also present. Western blot results confirmed the increase in MAPK pathway in the recipient cells. Furthermore, UM EVs-educated Fibro-BKO transformed and gave rise to tumors in vivo. Conclusion: In conclusion, our study reports an essential step towards understanding protein emission through EVs from UM cells. Our analyses revealed UM EVs cargo candidates that may play a role in pre-metastatic niche formation and metastasis in specific organs, such as the liver. The in vivo study model confirmed that EVs derived from UM are capable of inducing tumorigenesis. We believe that our data pave the way to the application of liquid biopsy to the monitoring of UM-affected patients. Citation Format: Thupten Tsering, Alexander Laskaris, Mohamed Abdouh, Prisca Bustamante Alvarez, Goffredo Arena, Julia Valdemarin Burnier. Characterization of extracellular vesicles derived from uveal melanoma cell lines [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6455.
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) | 0,001 | 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 ».