267. IDENTIFYING CANCER-ASSOCIATED FIBROBLAST POPULATIONS DRIVING THERAPY RESISTANCE IN GASTROESOPHAGEAL ADENOCARCINOMA
Notice bibliographique
Résumé
Abstract Background Peri-operative docetaxel-based triplet chemotherapy is the standard-of-care treatment for advanced gastroesophageal adenocarcinoma (GEA). However, most patients recur due to innate or acquired resistance. Although distinct populations of cancer-associated fibroblasts (CAFs) within the tumor microenvironment play important roles in conferring chemoresistance in other cancer types, this paradigm has not been extensively studied in GEA. We aim to characterize CAF heterogeneity in a well-annotated cohort of GEA patients, identifying potential biomarkers and targets to overcome chemoresistance. Methods Immunofluorescence and flow cytometry assays were performed to validate previously reported CAF markers from the literature in primary patient fibroblasts. To identify specific CAF markers for GEA, an atlas was developed using single-cell RNA sequencing (scRNA-seq) data obtained from 46 GEA patient samples, including 28 patients with longitudinal samples over the docetaxel-based triplet chemotherapy treatment trajectory. Differential and gene ontology analyses were performed to characterize distinct CAF subpopulations and identify dynamic CAF markers across treatment timepoints, while correlating with in-patient treatment response to chemotherapy. In parallel, tumor organoid-CAF co-cultures were established for subsequent in vitro drug testing with standard-of-care chemotherapy. Results CAF markers (VIM, FAP, PDPN, and S100A4) were found to be differentially expressed in fibroblasts isolated from good and poor pathological-response tumours. Analysis of scRNA-seq data reveals two main subpopulations of CAFs: myofibroblast CAFs (myCAFs) and inflammatory CAFs (iCAFs). Two markers, CCL20 and CHRDL1, were identified as differentially expressed between good and poor pathological responders in iCAFs, while nine markers, including ISG20 and C20orf27, were differentially expressed between clinical partial responders and poor responders. Dynamic CAF markers, including STAG2 and HAT1, were differentially expressed across treatment timepoints and were associated with pathological or clinical response. Conclusions GEA CAFs demonstrate extensive heterogeneity and comprise two major subpopulations. Several CAF markers were found to be associated with patient chemotherapy pathological or clinical response to chemotherapy, either in the chemonaïve setting or in the context of changes over the course of therapy. These putative biomarkers will be further validated and investigated, both in additional samples and in co-culture settings, to gain a better understanding of their clinical relevance and targeting potential.
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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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 ».