Cancer Biomarkers are important biological molecules which provide early detection, diagnosis and classification of cancer cells. In this work, nanoparticle tags with different redox potentials have been used as an electrochemical coding technology for the simultaneous detection of carcinoembryonic antigen (CEA), vascular endothelial growth factor (VEGF) and α-fetoprotein (AFP) biomarkers. As far as we know, this is the only work that covers the simultaneous detections of these biomarkers. For this purpose, basically, an electrochemical sandwich immunosensor, which was fabricated from carbon screen printed electrode, was utilized as a diagnostic platform. As nanoparticle tags, PbAu@ɣFeO, CuAu@ɣFeO and ZnAu@ɣFeO hybrid nanolabels were synthesized and used for labelling anti-CEA, anti-VEGF and anti-AFP, respectively. By monitoring differential pulse voltammetric oxidation peaks of labeling metals (Pb, Cu, Zn), CEA, VEGF and AFP biomarkers were detected at the same time.
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http://dx.doi.org/10.1016/j.msec.2019.03.079 | DOI Listing |
Discov Oncol
January 2025
School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Background: Nucleolar protein 7 (NOL7), a specific protein found in the nucleolus, is crucial for maintaining cell division and proliferation. While the involvement of NOL7 in influencing the unfavorable prognosis of metastatic melanoma has been reported, its significance in predicting the prognosis of patients with Hepatocellular Carcinoma (HCC) remains unclear.
Methods: Aberrant expression of NOL7 in HCC and its prognostic value were evaluated using multiple databases, including TCGA, GTEx, Xiantao Academic, HCCDB, UALCAN, TISCH, and STRING.
Heliyon
January 2025
Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602 105, Tamil Nadu, India.
AI-optimized electrochemical aptasensors are transforming diagnostic testing by offering high sensitivity, selectivity, and rapid response times. Leveraging data-driven AI techniques, these sensors provide a non-invasive, cost-effective alternative to traditional methods, with applications in detecting molecular biomarkers for neurodegenerative diseases, cancer, and coronavirus. The performance metrics outlined in the comparative table illustrate the significant advancements enabled by AI integration.
View Article and Find Full Text PDFExpert Syst Appl
October 2024
Department of Cell Systems and Anatomy, University of Texas Health Science Center at San Antonio, TX, United States.
Hepatocellular carcinoma (HCC) remains a global health challenge with high mortality rates, largely due to late diagnosis and suboptimal efficacy of current therapies. With the imperative need for more reliable, non-invasive diagnostic tools and novel therapeutic strategies, this study focuses on the discovery and application of novel genetic biomarkers for HCC using explainable artificial intelligence (XAI). Despite advances in HCC research, current biomarkers like Alpha-fetoprotein (AFP) exhibit limitations in sensitivity and specificity, necessitating a shift towards more precise and reliable markers.
View Article and Find Full Text PDFJ Gastrointest Oncol
December 2024
Department of Intervention, Yancheng First People's Hospital, Yancheng, China.
Background: Hepatocellular carcinoma (HCC) is characterized by high postoperative recurrence rates, and predicting early recurrence is crucial for improving clinical outcomes, yet remains challenging. Both preoperative computed tomography (CT) imaging radiomic features and serum biomarkers related to microvascular infiltration are important indicators of HCC prognosis. This study aimed to develop a nomogram model incorporating both preoperative CT radiomic features and serum biomarkers associated with microvascular infiltration to predict early postoperative recurrence in HCC patients.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Surgery and Liver Transplant Institute, Faculty of Medicine, Inonu University, 44280 Malatya, Turkey.
: Examinations of procalcitonin (PCT) and Ki-67 expression levels in hepatocellular carcinoma (HCC) patients who have undergone liver transplantation (LT) through immunohistochemical analyses of tumor tissue may reveal the biological characteristics of the tumor, thus informing the selection of HCC patients for LT. : Hepatectomy specimens from 86 HCC patients who underwent LT were obtained and analyzed immunohistochemically for the expression of PCT and Ki-67. The percentage and intensity of PCT staining, as well as the percentage of Ki-67 expression, were assessed for each patient.
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