Abstract B005: Hypoxic sarcoma spheroid on a chip: Insights into treatment response
Notice bibliographique
Résumé
Abstract Context: Hypoxia is found in at least 47% of soft-tissue sarcoma (STS) patients and is known to be a major contributor to treatment resistance, metastasis progression and associated with poor prognosis. Indeed, expression of hypoxic proteins (HIF1-α, CAIX) in STS is associated with a shorter overall survival, and a shorter progression-free survival in patients. Specifically, Yang et al. demonstrated in 2017 that patients stratified by a 24-gene hypoxia signature had a poorer distant metastasis free survival. Nevertheless, hypoxia is seldom considered during treatment development due to the lack of a user-friendly way to culture naturally hypoxic 3D tumor models. Therefore, we developed a user-friendly in vitro preclinical tool allowing the study of natural chronic hypoxia and its effect on treatment response. Methods: Microfabrication technologies were used to design a microfluidic chip allowing culture, maintenance, treatment, and analysis of 240 STS naturally hypoxic spheroids (750µm of diameter). SK-LMS-1 Human leiomyosarcoma and STS117 (human primary undifferentiated pleomorphic sarcoma cells) spheroids were formed 48h after seeding. Gold-standard hypoxic protein Hypoxia Inducible Factor 1 alpha (HIF1- α) and Carbonic Anhydrase IX (CAIX) expression was assessed by Western Blot (WB). Spatial distribution of CAIX was assessed by immunofluorescence (IF). Based on the IF, an in silico model of the oxygen consumption of the spheroids was built using COMSOL. As a proof of concept, the spheroids were treated using two oxygen-dependent treatment: RT and hypoxia prodrug Tirapazamine (TPZ). DNA-damages were quantified using yH2AX in IF to assess treatment efficacy. Results: These spheroids on-a-chip are the largest to date (>750µm), and express gold-standard hypoxic protein CAIX in their core only, a feature absent in spheroids of 450µm of diameter of the same cell lines. HIF1-α expression patterns were cell line dependent. CAIX expression in SK-LMS-1 and STS117 large spheroids was respectively 7.8 and 24 times higher than in 450µm spheroids. Quantification of DNA damages (count of yH2AX foci/nuclei area in mm²) demonstrated that TPZ preferentially targets the hypoxic core. However, the response (DNA damages) to RT alone showed no evidence of radioresistance of the hypoxic regions, on samples fixed 24h after irradiation. A possible explanation could be that, in 24h, the oxygen-dependent DNA repair and the accumulation of DNA damages in hypoxic regions hide the oxygen-dependent radioresistance. Therefore, quantification of DNA damages with yH2AX 30min after irradiation is currently being investigated, as maximum DNA damage response has been shown to be observed at this time point. Our 750µm spheroids naturally display a hypoxic core expressing gold-standard hypoxic protein CAIX at 120µm of depth, a feature absent in smaller spheroids. Together, these results cement our microfluidic device and our spheroids as a potent fundamental and pre-clinical tool to explore the biology of hypoxia on 3D tumor model, its effects on treatment response. Citation Format: Elena Refet-Mollof, Ouafa Najyb, Rodin Chermat, Audrey Glory, Julie Lafontaine, Philip Wong, Thomas Gervais. Hypoxic sarcoma spheroid on a chip: Insights into treatment response [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr B005.
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 | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».