{
    "abstract": "Current miRNA detection methods mainly focus on the detection of discrete targets while overlooking the logical relationship among biomoleculars. Integrating electrochemical sensor, DNA framework probes and DNA logic gate technology for analyzing miRNAs with diverse combinations in bodily fluids provide a potential way for recognition of multiple cancers. In this work, a novel cascaded logic gate-based electrochemical (EC) analysis strategy was designed and fabricated for the discrimination of pancreatic cancer (PC), breast cancer (BC) and lung cancer (LC). Cascaded AND logic gates were constructed through the logical relationship among miR-21, miR-155, miR-373, miR-6746 and miR-1343 which abnormally expressed in PC, BC and LC. The output strands of the logic gates were captured by tetrahedral DNA framework probes modified on the electrodes of EC sensor. Three cascaded AND logic gates successfully achieved limits of detection (LOD) of 0.62\u00a0nM, 0.37\u00a0nM and 0.41\u00a0nM, and good linear relationships between current values and the concentration of miRNA combinations within the range from 1\u00a0nM to 1\u00a0\u03bcM (R",
    "authors": [
        {
            "affiliation": "Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai, 200050, China; University of Chinese Academy of Sciences, Beijing, 100049, China.",
            "firstname": "Ding",
            "initials": "D",
            "lastname": "Ma"
        },
        {
            "affiliation": "Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai, 200050, China; University of Chinese Academy of Sciences, Beijing, 100049, China.",
            "firstname": "Yaojun",
            "initials": "Y",
            "lastname": "Wang"
        },
        {
            "affiliation": "Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai, 200050, China.",
            "firstname": "Yi",
            "initials": "Y",
            "lastname": "Xu"
        },
        {
            "affiliation": "Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.",
            "firstname": "Chang",
            "initials": "C",
            "lastname": "Chen"
        },
        {
            "affiliation": "Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai, 200050, China; University of Chinese Academy of Sciences, Beijing, 100049, China; School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China. Electronic address: mixq@mail.sim.ac.cn.",
            "firstname": "Xianqiang",
            "initials": "X",
            "lastname": "Mi"
        }
    ],
    "conclusions": null,
    "copyrights": "Copyright \u00a9 2025 Elsevier B.V. All rights reserved.",
    "doi": "10.1016/j.bios.2025.117468",
    "journal": "Biosensors & bioelectronics",
    "keywords": [
        "Electrochemical biosensor",
        "Logical analysis",
        "Multi-cancer discrimination",
        "Multiple miRNAs detection",
        "Tetrahedral DNA nanostructure"
    ],
    "methods": null,
    "publication_date": "2025-04-27",
    "pubmed_id": "40286645",
    "results": null,
    "title": "Cascaded logic gate-based electrochemical analysis of multiple miRNAs for cancer recognition.",
    "xml": "<Element 'PubmedArticle' at 0x788506236340>"
}