Abstract B30: PTEN loss associates with type I and II IFN response in prostate cancer
Notice bibliographique
Résumé
Abstract PTEN gene deletion and protein loss occurs in 20-30% of prostate cancer (PCa) cases and leads to poor disease outcome. Loss of the PTEN tumor suppressor gene activates the PI3 kinase pathway and also appears to alter cellular interferon (IFN) responses. Recent evidence highlights the role of inflammation in the tumor microenvironment (TME) and its association with PCa disease progression. It is thus important to establish whether IFN response inflammatory biomarkers in PCa tumors are predictive of disease outcome in the context of PTEN status. The aim of this study is to determine if PTEN genomic and protein loss is associated with IFN response in the TME. We performed an in silico analysis of genomic and corresponding transcriptomic profiles PCa tumors (n=493) from the Genomic Data Commons (GDC) cohort to identify significant alterations in immune response pathways when PTEN was lost. Nexus Copy Number, v8.0 (BioDiscovery, Santa-Clara, CA, USA) was used for normalization, segmentation, and identification of corresponding copy number events of all genomic files in the GDC cohort. The GDC RNAseq dataset comprises the expression of 20,532 genes that were filtered using standard thresholds from Nexus Expression 3.0 (BioDiscovery, Santa-Clara, CA, USA). The filtering resulted in 6081 genes. Genes of interest were identified using the Gene Ontology (GO) Biological Function in Nexus Expression 3.0 with the keywords “Immune” and “Inflammatory” (http://geneontology.org/). Of the 449 selected immune genes, 124 (28%) were differentially expressed when the PTEN-loss group was compared to the PTEN-intact group. DAVID enrichment analysis showed upregulation of 16 pathways, in which three were directly associated with immune and inflammatory responses, including retinoic acid-inducible gene I (RIG-I-like) receptor signaling pathway (P<0.0001), chemokine signaling pathway (P<0.0001), and Toll-like receptor signaling pathway (P<0.0001). In addition, we identified ten downregulated pathways, including cytokine-cytokine receptor interaction pathway (P<0.003) and intestinal immune network for IgA production pathway (P<0.006). We then selected the 25 most differentially expressed genes from the three upregulated and two downregulated pathways described above to compare the cohort of 218 prostate cancer tumors from MSKCC (in which 11% had PTEN loss) to the GDC cohort. The direction of differential gene expression was identical for 19/25 (76%) genes, in both cohorts having similarly altered PTEN-dependent changes in expression of immune and inflammatory response genes. The 25 most differentially expressed genes were associated directly with type I and II IFN response, indicating that PTEN loss affects the TME probably through the IRF3-IFN axis. Collectively, our findings based on in silico studies suggest that PCa with PTEN loss exhibits dysregulated Type I and II IFN response that permits progression to an aggressive disease phenotype. Future investigations will be required to define the mechanisms underlying these correlations, and their role in PCa disease progression so that inflammation biomarker can be therapeutically exploited using immunotherapies. Citation Format: Thiago Vidotto, Jeremy Andrew Squire, Madhuri Koti. PTEN loss associates with type I and II IFN response in prostate cancer [abstract]. In: Proceedings of the AACR International Conference held in cooperation with the Latin American Cooperative Oncology Group (LACOG) on Translational Cancer Medicine; May 4-6, 2017; São Paulo, Brazil. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(1_Suppl):Abstract nr B30.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».