Abstract B031: Loss of GATA6 leads to reduced cell fitness and PDA molecular subtype changes
Notice bibliographique
Résumé
Abstract Background: Pancreatic ductal adenocarcinoma (PDA) is defined by two main transcriptional subtypes, Basal-like & Classical. Classical tumors are more frequent and tend to respond better to chemotherapy with higher expression of genes related to pancreatic lineage development, the epithelial compartment, and adhesion. Conversely, Basal-like tumors are more aggressive, therapy resistant and have higher expression of laminins and keratins. The Classical subtype correlates with GATA6 expression, and ~16% pancreatic tumors show amplification in the transcription factor GATA6 suggesting its importance in the Classical subtype and in tumor survival (Chan-Seng-Yue et al., 2020). The goal of this project is to elucidate the role of GATA6 expression in PDA tumors showing that GATA6 is a key molecular regulator of the Classical subtype influencing tumor growth, maintenance, and phenotype. Methods: Patient derived organoids (PDOs) spanning the spectrum of GATA6 expression were used with CRISPR/Cas9 to establish GATA6 KO lines (n=8). These were then subject to a growth competition assay between cells with and without GATA6 KO and the amount of knockout over time was monitored by Sanger sequencing. Tumor growth curves were generated in a subcutaneous xenograft mouse model over 1.5 months to assess the in vivo growth potential of GATA6 KO cells in a sample with high GATA6 expression. 3’RNA-seq was used to assess gene expression changes in subtype, and GSEA was used to assess pathway enrichment. This was done alongside IHC, capillary Westerns, and flow cytometry to assess changes that GATA6 KO incurs on a functional level. Results: GATA6 KO tended to result in reduced fitness (dropout) in cells when ablated, although the rate and level of dropout varied, suggesting different levels of dependence on GATA6 expression for survival/growth. This was confirmed in vivo when the GATA6 KO failed to grow as robustly as control groups in a sample with high native GATA6 expression. Molecular analysis of all PDO samples showed shifts in expression from Classical to Basal-like. This shift was denoted in changes in subtype score, changes in marker gene expression (i.e., ANXA10 & TP63), and in changes in key pathways associated with each subtype. This shows that GATA6 not only correlates with the Classical subtype but plays a causal role in maintaining it. Even though there was a shift towards Basal-like expression several key characteristics of the subtype were notably absent including enrichment for epithelial to mesenchymal transition, down regulation of MYC and its targets, and the lack of aggressive growth in in vitro and in vivo models (dropout of GATA6 KO cells, low Ki67 expression, and upregulation of apoptosis). This suggests that KO of GATA6 is not sufficient in of itself to cause a true Basal-like phenotype and that instead GATA6 KO might lead to an in-between state that does not quite offer the same growth advantages and may open GATA6 and its pathways to be a potential therapeutic target. Citation Format: Tristan S.D. Woo, Kena F. Figueroa, Sabrina Ge, Irene Xie, Karen Ng, Pinjiang Cao, Julie M. Wilson, Stephanie Ramotar, Jennifer J. Knox, Grainne M. O'Kane, Steven Gallinger, Faiyaz Notta. Loss of GATA6 leads to reduced cell fitness and PDA molecular subtype changes [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B031.
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 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,003 |
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 ».