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Percentage of <t>AGS</t> (A), and SNU‐1 (B) cells recovery using MPC‐modified MCA. Cancer cell‐spiked PBS (both A and B) samples were used. The significance level was determined based on the p value obtained from the t ‐test. If the p value was less than 0.001, the difference was considered highly significant and denoted by three asterisks ***. For p values between 0.001 and 0.01, the significance was marked by two asterisks **. AGS, <t>adenocarcinoma</t> gastric cell line; MCA, microcavity array; MPC, 2‐methacryloyloxyethyl phosphorylcholine.
Gastric Cancer Cell Lines Adenocarcinoma Gastric Stomach Ags, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Percentage of AGS (A), and SNU‐1 (B) cells recovery using MPC‐modified MCA. Cancer cell‐spiked PBS (both A and B) samples were used. The significance level was determined based on the p value obtained from the t ‐test. If the p value was less than 0.001, the difference was considered highly significant and denoted by three asterisks ***. For p values between 0.001 and 0.01, the significance was marked by two asterisks **. AGS, adenocarcinoma gastric cell line; MCA, microcavity array; MPC, 2‐methacryloyloxyethyl phosphorylcholine.

Journal: Engineering in Life Sciences

Article Title: Rapid Recovery and Short‐Term Culture of Gastric Circulating Tumor Cells Using Microcavity Array

doi: 10.1002/elsc.70026

Figure Lengend Snippet: Percentage of AGS (A), and SNU‐1 (B) cells recovery using MPC‐modified MCA. Cancer cell‐spiked PBS (both A and B) samples were used. The significance level was determined based on the p value obtained from the t ‐test. If the p value was less than 0.001, the difference was considered highly significant and denoted by three asterisks ***. For p values between 0.001 and 0.01, the significance was marked by two asterisks **. AGS, adenocarcinoma gastric cell line; MCA, microcavity array; MPC, 2‐methacryloyloxyethyl phosphorylcholine.

Article Snippet: The human lung cancer cell line NCI‐H1975 (ATCC CRL5908) and the human gastric cancer cell lines adenocarcinoma gastric stomach (AGS) (ATCC CRL‐1739), and SNU‐1 (ATCC CRL‐5971) were used for cell release and culture experiments, based on their relevance in cancer research and drug testing.

Techniques: Modification

Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization of exosome-based therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine

Journal: Molecular Cancer

Article Title: Mechanisms of tumor-derived extracellular vesicle-mediated immunometabolic reprogramming and immunotherapeutic resistance

doi: 10.1186/s12943-025-02556-8

Figure Lengend Snippet: Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization of exosome-based therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine

Article Snippet: Stomach Cancer Exosome-based Detection , Completed , Gastric cancer/ Diagnosis , Enrollment number: 809 (1)Sensitivity (2)Specificity (3)Proportion of correct predictions (true positives and true negatives) among the total cases (i.e., accuracy) , Start: 2023.3.15 Completion: 2024.6.15 , NCT06342427.

Techniques: Isolation, Biomarker Discovery, Imaging, Diagnostic Assay, Clinical Proteomics