Background: In gastric cancer, the only opportunity for a cure is with surgical resection. Fluorescence-guided surgery is an emerging field that has the potential to improve rates of R0 resections. Mouse models with patterns of disease spread that would be deemed operable in patients are required for the testing of potential fluorescence-guided surgery probes.
Methods: One million cells of the human gastric cancer cell line MKN45 were suspended in 50 μL of phosphate-buffered saline and Matrigel and injected into the mouse stomach with a 29-gauge needle. After 8 to 12 weeks of tumor growth, mice were killed and laparotomy was performed to determine rates of tumor engraftment, local or distant spread, and involvement of celiac lymph nodes. For tumor labeling, mice were randomized to receive intravenous injection of an anti-CEA antibody (M5A), or IgG as a control, conjugated with the near-infrared dye IRDye800CW. Fluorescence imaging was performed using the LI-COR Pearl Imaging System 72 hours later.
Results: Infiltrative tumors were identified in 76.5% (n = 34) of mice. Intra-abdominal or peritoneal metastases were seen in 23.5% and carcinomatosis was seen in 5.9% of mice. Celiac lymph node metastases were seen in 55.5% of mice. M5A-IR800 administration resulted in bright labeling of primary tumors and metastatic celiac lymph nodes. Hematoxylin and eosin staining demonstrated incorporation of the gastric cancer cells throughout the layers of the mouse stomach and the presence of metastatic gastric cancer cells in celiac lymph nodes.
Conclusion: This new locoregional mouse model can be used to validate additional agents for their use in fluorescence guided surgical resection of gastric cancer.
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http://dx.doi.org/10.1016/j.surg.2025.109270 | DOI Listing |
JAMA Surg
March 2025
Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Importance: Indocyanine green (ICG)-guided lymphadenectomy has been increasingly used to treat gastric cancer. However, its oncologic impact remains unclear.
Objective: To investigate the effect of ICG tracing on long-term outcomes in patients diagnosed with locally advanced gastric cancer undergoing neoadjuvant chemotherapy (NAC) followed by laparoscopic radical gastrectomy.
Int J Surg
March 2025
Department of Surgery and Cancer Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Background: Previous studies have reported the effectiveness of the "enhanced recovery after surgery" program in patients who underwent gastric cancer surgery, mostly based on the 2014 gastrectomy guidelines. Therefore, based on subsequent advancements in perioperative management, this randomized, controlled, open-label, single-center study aimed to assess the impact of a recent evidence-based multimodal enhanced recovery after surgery program on the quality of early recovery after gastric cancer surgery.
Materials And Methods: This study included adult patients scheduled to undergo elective laparoscopic or robotic distal gastrectomy for gastric cancer.
J Am Chem Soc
March 2025
CAS Key Laboratory of Bio-Inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.
Accurate diagnosis of early gastric cancer is valuable for asymptomatic populations, while current endoscopic examination combined with pathological tissue biopsy often encounters bottlenecks for early-stage cancer and causes pain to patients. Liquid biopsy shows promise for noninvasive diagnosis of early gastric cancer; however, it remains a challenge to achieve accurate diagnosis due to the lack of highly sensitive and specific biomarkers. Herein, we propose a protocol combining metabolomics profiling from plasma extracellular vesicles (EVs) and machine learning to identify the metabolomics discrepancies of early gastric cancer individuals from other populations.
View Article and Find Full Text PDFAnn Surg
March 2025
Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, the Netherlands.
Objective: The aim of this study is to identify learning curves for robotic gastro-enterostomy (RGE) during RPD and the predictive value of the objective structured assessment of technical skills (OSATS) score for DGE according to the Birkmeyer et al and UPMC method.
Summary Of Background Data: In some series, robotic pancreatoduodenectomy (RPD) has been associated with increased risk of delayed gastric emptying (DGE). It is unclear whether this is attributable to learning curve.
Front Oncol
February 2025
Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objective: Accurately predicting metastatic cancer to the adnexa, stage I and advanced ovarian cancer before surgery is crucial. The ADNEX model, based on ultrasound, is currently the only prediction model that can differentiate between these types. This study aims to analyze MRI features and diagnostic value in malignant ovarian tumors mis-subclassified by the ADNEX model, considering their diverse histopathologic types.
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