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 IL2Rgamma) 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-cm 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.
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http://dx.doi.org/10.1016/j.athoracsur.2022.09.048 | DOI Listing |
Acta Neuropathol Commun
January 2025
Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
Glioblastoma is the deadliest primary brain tumor, largely due to inevitable recurrence of the disease after treatment. While most recurrences are local, patients rarely present with a new discontiguous focus of glioblastoma. Little is currently known about the genetic profile of discontiguous recurrences.
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January 2025
Department of Urology, Kyoto University School of Medicine, 54 Shougoinkawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
This study evaluated the impact of aspirin on the biochemical recurrence (BCR) rate following robot-assisted radical prostatectomy (RARP) in patients. A database search identified patients who underwent RARP for pT2-3N0M0 disease at any of 25 centers between 2011 and 2022, categorized into aspirin (n = 350) and control groups (n = 5857). Adjustment by 1:1 propensity score matching (PSM) and Mahalanobis distance matching (MDM) created 350 matched pairs.
View Article and Find Full Text PDFClin Transl Oncol
January 2025
Department of Radiation Oncology, HM Hospitales, Madrid, Spain.
Introduction: SRS for the treatment of limited brain metastases (BM) is widely accepted, but there are still limitations in the management of numerous BM. Frameless single-isocenter multitarget SRS is a novel technique that allows for rapid treatment delivery to multiple BM. We report our preliminary clinical, dosimetric, and patient´s shifts outcomes with this technique.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Chemoradiotherapy (CRT) followed by durvalumab is standard for unresectable locally advanced non-small-cell lung cancer (LA-NSCLC). This study assesses how CRT alters the T-cell receptor (TCR) repertoire in CD8 + PD-1 + T-cells and its impact on clinical outcomes. This prospective study, conducted from November 2019 to May 2021 at three institutions in Japan, evaluated the diversity of TCR repertoire (DE50) in PD-1 + CD8 + T-cells and CD8 + T-cell phenotypes in peripheral blood before and after CRT.
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January 2025
School of Medicine, Shaoxing University, Shaoxing, 312000, Zhejiang, China.
Nutrition and inflammation are closely related to prognosis in breast cancer patients. However, current nutritional and inflammatory measures predict disease free survival (DFS) of breast cancer are still different, and the most predictive measures remain unknown. This study aimed to compare the predictive effects of commonly used nutritional and inflammatory measures on DFS and to improve existing nutritional or inflammatory measures in order to develop a new model that is more effective for predicting postoperative recurrence and metastasis in breast cancer patients.
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