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Human CLDN18.2 is highly expressed in a significant proportion of gastric and pancreatic adenocarcinomas, while normal tissue expression is limited to the epithelium of the stomach. The restricted expression makes it a potential drug target for the treatment of gastric and pancreatic adenocarcinoma, as evidenced by efforts to target CLDN18.2 via naked antibody and CAR-T modalities. Herein we describe CLDN18.2-targeting via a CD3-bispecific and an antibody drug conjugate and the characterization of these potential therapeutic molecules in efficacy and preliminary toxicity studies. Anti-hCLDN18.2 ADC, CD3-bispecific and diabody, targeting a protein sequence conserved in rat, mouse and monkey, exhibited in vitro cytotoxicity in BxPC3/hCLDN18.2 (IC = 1.52, 2.03, and 0.86 nM) and KATO-III/hCLDN18.2 (IC = 1.60, 0.71, and 0.07 nM) respectively and inhibited tumor growth of pancreatic and gastric patient-derived xenograft tumors. In a rat exploratory toxicity study, the ADC was tolerated up to 10 mg/kg. In a preliminary assessment of tolerability, the anti-CLDN18.2 diabody (0.34 mg/kg) did not produce obvious signs of toxicity in the stomach of NSG mice 4 weeks after dosing. Taken together, our data indicate that targeting CLDN18.2 with an ADC or bispecific modality could be a valid therapeutic approach for the treatment of gastric and pancreatic cancer.
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http://dx.doi.org/10.1038/s41598-019-44874-0 | DOI Listing |
JAMA Netw Open
September 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Importance: Patients with advanced cancer frequently receive broad-spectrum antibiotics, but changing use patterns across the end-of-life trajectory remain poorly understood.
Objective: To describe the patterns of broad-spectrum antibiotic use across defined end-of-life intervals in patients with advanced cancer.
Design, Setting, And Participants: This nationwide, population-based, retrospective cohort study used data from the South Korean National Health Insurance Service database to examine broad-spectrum antibiotic use among patients with advanced cancer who died between July 1, 2002, and December 31, 2021.
In Vitro Cell Dev Biol Anim
September 2025
Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama-shi, Okayama, 700-8558, Japan.
S100 protein family members S100A8 and S100A9 function primarily as a heterodimer complex (S100A8/A9) in vivo. This complex has been implicated in various cancers, including gastric cancer (GC). Recent studies suggest that these proteins play significant roles in tumor progression, inflammation, and metastasis.
View Article and Find Full Text PDFKhirurgiia (Mosk)
September 2025
Saint Petersburg State University, Saint Petersburg, Russia.
Objective: To analyze the most well-known studies devoted to completion pancreatectomy (CP) for postoperative complications after pancreatoduodenectomy.
Material And Methods: We analyzed original articles and reviews between 1992 and 2023 (number of patients ≥5 (5-120)).
Results: Mean blood loss in CP ranged from 500 to 2180 ml, surgery time - from 144 to 340 min.
Medicine (Baltimore)
September 2025
Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
To observe the specific changes of auricular points in patients with colorectal polyps (CPs) by auricular assessment. To summarize the clusters of auricular point-specific changes in patients with CPs, and to inform further research into auricular point assisted diagnosis of CPs. A total of 300 participants, with 150 having CPs and 150 having no CPs, were recruited for this case-control study.
View Article and Find Full Text PDFGastric Cancer
September 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, Bunkyo City, Tokyo, Japan.
Background: Although many studies have developed logistic regression models for predicting complications using preoperative and intraoperative data, none have applied comprehensive perioperative information with machine learning (ML) to enable time-sequential predictions.
Methods: This study included patients undergoing gastric cancer surgery between 2013 and 2019 at two hospitals. Comprehensive perioperative data were collected.