Literature DB >> 32498877

Electrochemical immunomagnetic assay as biosensing strategy for determination of ovarian cancer antigen HE4 in human serum.

Monica Mattarozzi1, Marco Giannetto2, Maria Careri3.   

Abstract

Prompt cancer diagnosis and treatment represent fundamental aspects to significantly improve patient survival rate. Human epididymis protein 4 (HE4) has recently been identified as promising single serum biomarker of epithelial ovarian cancer with improved diagnostic performances respect to current reference biomarkers. In this study we present the first competitive immunosensing strategy for HE4 determination implemented on magnetic microbeads functionalized with HE4 antigen. A full factorial design and multiple linear regression allowed to find the optimal experimental conditions providing the maximum inhibition rate within the explored domain. Method validation was performed in serum to ensure reliable data to support decision in clinical practice. This method allowed matching the clinically relevant concentration values for the serum biomarker, limits of detection and quantification being 2.8 and 23.0 pM, respectively. Also recovery rate in the 89 ± 7-103 ± 5% range resulted suitable for method applicability for diagnostic purposes.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biosensing; Experimental design; HE4 protein biomarker; Magnetic beads; Matrix effect; Ovarian cancer diagnosis

Mesh:

Substances:

Year:  2020        PMID: 32498877     DOI: 10.1016/j.talanta.2020.120991

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  2 in total

1.  FFF-based high-throughput sequence shortlisting to support the development of aptamer-based analytical strategies.

Authors:  Valentina Marassi; Monica Mattarozzi; Lorenzo Toma; Stefano Giordani; Luca Ronda; Barbara Roda; Andrea Zattoni; Pierluigi Reschiglian; Maria Careri
Journal:  Anal Bioanal Chem       Date:  2022-02-18       Impact factor: 4.478

2.  Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer.

Authors:  Yuqi Yang; Qiong Huang; Zuoxiu Xiao; Min Liu; Yan Zhu; Qiaohui Chen; Yumei Li; Kelong Ai
Journal:  Mater Today Bio       Date:  2022-02-15
  2 in total

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