Abstract 2379: The lung microenvironment influences the metastatic behavior of breast cancer cells in an innovative 3D ex vivo pulmonary metastasis model
Notice bibliographique
Résumé
Abstract Breast cancer remains a leading cause of mortality among women, with the majority of deaths attributed to metastatic disease. In particular, the lung is one of the most common and deadly sites of breast cancer metastasis, particular in women with more aggressive molecular subtypes such as Her2+ and triple-negative breast cancer. However, it still remains unclear whether the propensity of breast cancer cells to metastasize to the lung reflects properties of cancer cells themselves, properties of the lung microenvironment, or a combination of both. Both cancer initiation and progression can in part be attributed to small subsets of “stem cell-like” tumor cells, which in breast cancer are characterized by high aldehyde dehydrogenase (ALDH) activity and/or expression of the CD44+CD24- phenotype (ALDHhiCD44+). We have previously shown that ALDHhiCD44+ breast cancer cells demonstrate preferential migration and growth in response to lung-derived soluble factors, and an increased propensity to metastasize to the lung in vivo. The objective of this study was to use an innovative 3D ex vivo pulmonary metastasis model (PuMA) that incorporates the native 3D architecture of the lung in order to test the hypothesis that whole population and stem-like ALDHhiCD44+ breast cancer cell metastatic behavior is influenced by the lung microenvironment. Red fluorescent protein (RFP)-expressing MDA-MB-231 and MDA-MD-468 breast cancer cells were seeded (5×105 cells) to the lungs of female nude mice by tail vein injection. Following euthanasia, lungs were excised, sliced into 1 mm transverse sections, and grown in culture under serum-free conditions over 21 days. Sections were imaged at 0, 7, 14 and 21 days to observe growth and progression. Using H&E and Masson's Trichrome staining, we confirmed that lung sections remained healthy with intact pulmonary architecture over 21 days in culture. Over a 14-day period, we observed significant growth of MDA-MB-231 whole breast cancer cell populations in this assay at day 14 relative to day 7 and day 0 (p≤0.05). Sorted populations of MDA-MB-231 ALDHhiCD44+ cells showed significant growth at days 14 (p≤0.001) and 21 (p≤0.0001) compared to their ALDHlowCD44- counterparts. ALDHhiCD44+ cells also progressed from the single cell state (<50 μm) to micrometastatic (200-400 μm) to macrometastatic (>400 μm) colonies during 21 days. Conversely, ALDHlowCD44- cells showed no such progression and remained predominantly as single cells throughout the assay. Together these results demonstrate that the PuMA assay sustains healthy lung architecture over 21 days, and that aggressive breast cancer cells interact with the lung to grow and progress as metastatic colonies. Ultimately, the results of this study will provide a greater understanding of the contribution of the lung microenvironment in mediating breast cancer metastasis. Citation Format: Matthew Piaseczny, David Goodale, Alison Allan. The lung microenvironment influences the metastatic behavior of breast cancer cells in an innovative 3D ex vivo pulmonary metastasis model. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2379. doi:10.1158/1538-7445.AM2015-2379
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 | 0,000 |
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 ».