NV1066 is a herpes simplex virus-1 (HSV-1) oncolytic mutant that contains the gene for enhanced green fluorescent protein (EGFP). We sought to determine (1) whether NV1066 is effective against human peritoneal cancer, (2) whether EGFP is detectable in an animal model of gastric cancer, and (3) whether EGFP expression can be used to assess oncolytic therapy in a minimally invasive, laparoscopic system. The current study demonstrates that NV1066 is cytotoxic to OCUM human gastric cancer cells in vitro and in an in vivo model of disseminated peritoneal gastric cancer. In vitro this human gastric cancer cell line is sensitive to NV1066. Lysis occurs in a dose-dependent fashion, achieving near-complete lysis even at multiplicities of infection (MOIs) as low as 0.01 by 7 days. NV1066 also replicates within OCUM cells and induces expression of GFP in a dose-dependent manner. At MOIs of 0.01 to 1, EGFP expression is seen by flow cytometry in 100% of OCUM cells within 5 days after infection. NV1066 effectively treats OCUM carcinomatosis in an in vivo model. After intraperitoneal administration of NV1066, macroscopic tumor foci express EGFP by direct laparoscopy with the appropriate fluorescent filtering. Noncancerous organs are not infected and do not express EGFP. We conclude that NV1066 has significant oncolytic activity in vitro and in vivo and reliably induces EGFP expression in infected tumor cells. Furthermore, EGFP expression in intraperitoneal tumors can be visualized laparoscopically, allowing detection and localization of viral gene therapy.
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http://dx.doi.org/10.1089/104303404323142051 | DOI Listing |
Gastric Cancer
January 2025
Department of Biochemistry and Molecular Biology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Background: Gastroesophageal junction adenocarcinoma (GEJAC) exhibits distinct molecular characteristics due to its unique anatomical location. We sought to investigate effective and reliable molecular classification of GEJAC to guide personalized treatment.
Methods: We analyzed the whole genomic, transcriptomic, T-cell receptor repertoires, and immunohistochemical data in 92 GEJAC patients and delineated the landscape of genetic and immune alterations.
Nano Lett
January 2025
Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China.
Logical analysis of multiple-miRNA expression information and immediate output of diagnostic results facilitates early cancer detection. In this work, we constructed an isothermal molecular classifier capable of performing computations on multiple miRNAs and directly providing diagnosis results. First, we developed linear-after-the-exponential rolling circle amplification (LATE-RCA), a nearly linear isothermal amplification that does not destroy the original quantitative information about miRNAs.
View Article and Find Full Text PDFObjectives: Endoscopic full-thickness resection for gastric submucosal tumors is gradually gaining popularity, and secure and amenable closure is key to its success. This study aimed to compare the reopenable clip over-the-line method with the purse-string method for defect closure after endoscopic full-thickness resection for gastric submucosal tumors.
Methods: This historical control trial included 37 consecutive patients with 37 gastric submucosal tumors, who underwent endoscopic full-thickness resection between January 2021 and July 2024.
Cancer Manag Res
January 2025
Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
Introduction: Early diagnosis is crucial for improving the prognosis of patients with gastric cancer (GC). However, the currently used biomarkers for diagnosing GC have limited sensitivity and specificity. This study aimed to develop a novel diagnostic model based on miRNAs from glycosylated extracellular vesicles and evaluate its effectiveness in diagnosing gastric cancer.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!