Abstract 4069: Selective ablation of solid tumors using a p53-targeted FAST-LNP gene therapy
Notice bibliographique
Résumé
Abstract While chemotherapy is a key treatment strategy for many solid tumors, it is rarely curative as patients will eventually become resistant. In this study, we sought to develop an effective suicide gene therapy approach for solid tumors that specifically exploits their unique transcriptional activation state. The tumor suppressor p53 is frequently mutated or dysregulated in cancer, and as a result the upstream signaling pathways activating p53 transcription are strongly upregulated. RNA-seq analysis has demonstrated that p53 transcription is significantly upregulated in almost all forms of cancer. Additionally, HCT116 cells lacking functional p53 display a 6-fold increase in p53 promoter activity when compared to its wild type p53 parent cell line. To exploit this, we have developed a Fusogenix FAST-LNP formulation to deliver a p53-driven inducible suicide gene, iCasp9, to solid tumors and destroy them upon activation with small molecule dimerizer, Rapamycin. To establish a proof-of-concept, plasmid encoding iCasp9 and luciferase under control of the p53 promoter was constructed and evaluated in a panel of cancer cell lines. While LNPs administered without Rapamycin or Rapamycin administered alone had no impact on cell viability, we observed greater than 90% apoptotic cell death when both were employed in a wide range of cancer cell lines with p53 deletions or mutations, as measured using cell viability assays, imaging assays, as well as Annexin V and TUNEL flow cytometry. Induction of iCasp9 protein expression and caspase-mediated apoptosis was confirmed using Western blot. No cell death was observed in cells with intact p53 such as human umbilical vein endothelial cells or the fibroblast cell line IMR-90. Next, we assessed the efficacy of FAST-LNPs containing p53-iCasp9 in xenograft PC-3 and H1299 models of human prostate cancer and lung cancer respectively. In some experiments, tumors were implanted subcutaneously in the flanks of 30 mice and allowed to grow to 500 mm3 before treatment by intravenous doses of 100 µg LNP twice per week during continuous low dosing of Rapamycin. We observed a rapid and dramatic reduction in tumor volume averaging 87% over the following 48 hours, with durable response. Tumors in control mice continued to grow exponentially. Overall survival of mice was extended 250% in the PC-3 cohort and 300% in the H1299 cohort. Optimization of number and concentration of LNP doses should allow for long term control of both localized and systemic disease. In conclusion, we describe a novel LNP gene therapy approach for the treatment of cancer with high selectivity for tumors with dysregulated p53 transcriptional activation. This approach has the potential to provide a highly efficacious alternative to current therapies for localized and advanced solid tumors. Citation Format: Douglas Wilson Brown, Arun Raturi, Prakash Bhandari, Deborah Sosnowski, Liliya Grin, Ping Wee, Hector Vega, Jennifer Gyoba, Maryam Hejazi, Jailal Ablack, Matthew Scholz, John D. Lewis. Selective ablation of solid tumors using a p53-targeted FAST-LNP gene therapy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4069.
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 | 0,000 | 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 | 0,000 | 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 ».