Noninvasive Detection of Bladder Cancer Markers Based on Gold Nanomushrooms and Sandwich Immunoassays
Source abstract
Abstract
Bladder cancer is one of the most common malignancies in the urinary system. Cystoscopy is the traditional standard diagnostic method for bladder cancer with subsequent biopsy or surgery. However, this method is uncomfortable for most patients because it requires anesthesia and possibly causes infections. Because of the high recurrence rate of bladder cancer, a rapid, low-cost, high-sensitivity, and noninvasive sensing method is needed. This study employed gold nanomushroom (AuNM) chips for bladder cancer biomarker detection, combining the benefits of sandwich immunoassay and localized surface plasmon resonance (LSPR) sensing. With a metal nanotransfer printing technique, which is cheap and straightforward, the AuNMs were patterned on flexible polycarbonate (PC) sheets. The gold caps stood above PC stems and provided ample spatial areas for capturing the biomarkers to be sensed. Three biomarkers served as the antigens and analytes, including human complement factor H (CFH), hyaluronic acid (HA), and nuclear matrix protein 22 (NMP22). Different antibodies, against the same biomarker, were covalently conjugated to AuNMs or gold nanoparticles, respectively. When the antibody–antigen–antibody sandwich structure formed, the plasmonic coupling between the AuNM surface and the gold nanoparticles significantly enhanced LSPR signals. The LSPR red shifts correlated quantitatively with the concentrations of the biomarkers. The limits of detection were 6.5, 8.3, and 7.0 pg/mL for CFH, HA, and NMP22, respectively. The chip’s specificity was tested and confirmed, excluding the nonspecific binding and false-positive possibility. The sensing performance of this sandwich immunoassay-based AuNM chip was better than that of the commercialized enzyme-linked immunosorbent assay. It provided a rapid, label-free, and easy operating platform for diagnosing and monitoring bladder cancer.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Bladder and Urothelial Cancer Treatments · Biosensors and Analytical Detection · Allergic Rhinitis and Sensitization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Photonics, National Cheng Kung University, Tainan 701, Taiwan
Department of Applied Chemistry, National Pingtung University, Pingtung 900, Taiwan
Division of Urology, Department of Surgery, Taipei City Hospital, Taipei 100, Taiwan
Department of Urology, College of Medicine and Shu-Tien Urological Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
Department of Exercise and Health Sciences, University of Taipei, Taipei 111, Taiwan
Funding
Ministry of Science and Technology, Taiwan
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