Porous Paclitaxel Mesh Reduces Local Recurrence in Patient-Derived Xenograft Resection Model.
Ann Thorac Surg
; 116(1): 181-188, 2023 Jul.
Article
en En
| MEDLINE
| ID: mdl-36376135
BACKGROUND: Drug-loaded meshes offer a promising delivery strategy for the prevention of local recurrence. Patient-derived xenograft (PDX) models are representative of individual patient tumors and predictive of clinical outcomes. METHODS: A PDX model was established in NSG (NOD-scid IL2Rgammanull) mice using tumor tissue from a patient with aggressive lung adenocarcinoma. Polyglycolic acid (PGA) meshes loaded with paclitaxel (PGA+PTX) were electrospun. Tumor-bearing mice were randomized into 4 groups after macroscopic complete resection: (1) no treatment (n = 10); (2) intraperitoneal PTX at 20 mg/kg (n = 10); (3) PGA mesh without drug (n = 14); and (4) PGA+PTX mesh at 12 mg/kg (n = 14). A 1-cm2 mesh was placed onto the tumor resection beds. Groups were observed for local recurrence for 120 postoperative days. RESULTS: PDX mice treated with PGA+PTX meshes after resection exhibited a >5-fold increase in recurrence-free survival (P < .0001) compared with systemically treated and untreated control groups. Median recurrence-free survival was 24 days for untreated and intraperitoneal PTX groups, 28 days for unloaded PGA mesh group, and undefined for the PGA+PTX mesh group. CONCLUSIONS: Development of a PDX surgical resection model of non-small cell lung cancer permits robust assessment of postresection local recurrence for preclinical studies of patient-derived tumors. Intraoperative placement of drug-loaded meshes demonstrates superior local disease treatment, suggesting that this approach may improve recurrence-free survival in early-stage non-small cell lung cancer patients undergoing limited resection.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Carcinoma de Pulmón de Células no Pequeñas
/
Neoplasias Pulmonares
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Ann Thorac Surg
Año:
2023
Tipo del documento:
Article