Abstract B54: Single and collective cell dissemination modes in ovarian cancer.
Notice bibliographique
Résumé
Abstract Background: Ovarian cancer (OvCa) results in over 114,000 worldwide deaths annually, and is the most lethal malignancy of the female reproductive system. During its progression, OvCa can shed cells into the peritoneal cavity, which can later metastasize to distant pelvic, abdominal, or extra-peritoneal organs. Disordered tumor blood vessels often allow for lymphatic leakage into the abdomen, causing an accumulation of excess ascites fluid that is abundant in growth factors supporting the survival and growth of disseminated tumour cells (DTCs). DTCs were found to exist in ascites both as single cells and as multicellular spheroids, however it is unknown whether cells disseminate in a single or collective manner. Biological and clinical characteristics of DTC spheroids have been under investigation in a number of cancer subtypes, as cells within spheroids exhibit enhanced resistance to multiple chemotherapeutics, increased invasive properties, and faster tumorigenic potential. Therefore, understanding and targeting cancer spheroids can help improve patient prognosis and limit disease progression. Methods: In this study, we examine the modes of dissemination of ovarian cancer cells as single or multi-cellular units using Ov-90 chemo naïve cells and OVCAR-3 cells, which were each derived from human ascites. We utilize in-vitro 2D monolayer cultures and 3D ‘organoids' to characterize the dissemination of cells in suspension for cellular viability, and protein expression and localization. Live imaging is conducted on free-floating, hanging drop generated clusters to visualize dissemination. To confirm in-vitro experiments, ovarian orthotopic transplants in mice are used as an in-vivo system by injecting fluorescently labelled cells. Results: Our novel live imaging models showed that cells disseminate as both single cells and groups of cells. Disseminated cells in culture are frequently observed as cell clusters with a higher live/dead ratio than cells seeded at single cells in suspension, indicating that clusters may have a survival advantage. In addition, immunofluorescence staining of disseminated cells suggests that the transcription factor Zeb1 may be involved in driving cell dissemination by regulating mosaic E-cadherin expression in the absence of complete EMT. Conclusion: Ovarian cancer cells can disseminate as either single cells or clusters. Many gaps in our understanding exist in the early stages of dissemination of ovarian cancer despite intensive research throughout the later time points in metastasis. We predict that a deeper understanding of the mechanisms of dissemination will provide insights to greatly improve patient prognosis and response to chemotherapeutics. Citation Format: Sara Al-Habyan, Joseph Szymborski, Patricia Tonin, Luke McCaffrey. Single and collective cell dissemination modes in ovarian cancer. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr B54.
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 | 0,001 | 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 ».