Abstract 5897: Single cell-derived analysis of desmoid tumors for studying tumor-stroma interactions
Notice bibliographique
Résumé
Abstract Cancer associated fibroblasts play an important role in the maintenance and remodeling of the tumor microenvironment, providing the appropriate conditions for neoplastic cell growth and invasion. Desmoid tumors (DT), also called aggressive fibromatosis, are rare, locally invasive soft tissue tumors that consist of fibroblastic cells embedded in extracellular matrix. Identification of the stromal cells to study tumor-stroma interactions is difficult due to both populations displaying a fibroblastic phenotype, and no cell marker exists that reliably differentiates between the two populations. Majority of DT arise sporadically due to somatic activating mutations in beta-catenin (CTNNB1), a major effector molecule of canonical Wnt signaling. We established single cell derived colonies from multiple DT samples and characterized the beta-catenin mutation status of each clone by Sanger sequencing. Indeed, we were able to establish both mutant and non-mutant colonies from DT samples. Quantitative PCR for beta-catenin targets AXIN2 and LEF1 confirmed differential activity between the mutant and non-mutant colonies. The specific CTNNB1 codon mutation had no difference on beta-catenin transcriptional activity. We next performed a high throughput surface antigen screen to identify cell markers that can distinguish between the two subpopulations. Our screen found CD142 to be uniquely expressed by the mutant colonies, while the non-mutant colonies uniquely expressed Podoplanin. Quantitative PCR confirmed the differential expression of these markers. Furthermore, the CD142-positive population in heterogeneous DT samples correlated with their mutation frequency. Importantly, CD142-based cell sorting allowed the isolation of the mutant subpopulation even in samples that appeared as wild-type by Sanger sequencing. We also studied the expression of secreted factors in our mutant and non-mutant populations. We observed that CTHRC1, a ligand related to the Wnt/PCP pathway, is highly elevated exclusively in the mutant subpopulations. Recombinant CTHRC1 increased the proliferation rate of DT primary cultures, as measured by BrdU incorporation, while neutralizing antibodies against CTHRC1 decreased cell proliferation. The importance of tumor-stroma interactions cannot be studied without first identifying and characterizing the two populations. This has been especially difficult in soft tissue sarcomas where both the neoplastic and stromal cells exhibit a mesenchymal phenotype. Our study offers a novel method for identifying the mutant and non-mutant subpopulations within desmoid tumors to study how they may interact. Rapidly quantifying tumor composition will also support efforts to understand the natural progression of disease and how it responds to therapy. Citation Format: Mushriq Al-Jazrawe, Steven Xu, Qingxia Wei, Raymond Poon, Benjamin Alman. Single cell-derived analysis of desmoid tumors for studying tumor-stroma interactions [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5897. doi:10.1158/1538-7445.AM2017-5897
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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) | 0,000 | 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 tête enseignante, 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 ».