Design and Characterization of a Dual-Protein Strategy for an Early-Stage Assay of Ovarian Cancer Biomarker Lysophosphatidic Acid

Author:

Davoudian Katharina1ORCID,Spagnolo Sandro2ORCID,Lotay Navina1ORCID,Satkauskas Monika1ORCID,Mészáros Gábor3ORCID,Hianik Tibor2ORCID,Keresztes Zsófia3ORCID,Walker Gilbert1,Thompson Michael1ORCID

Affiliation:

1. Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, ON M5S 3H6, Canada

2. Faculty of Mathematics, Physics and Informatics, Comenius University, Mlynská dolina F1, 842 48 Bratislava, Slovakia

3. Functional Interfaces Research Group, Institute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences, Magyar tudósok krt. 2., H-1117 Budapest, Hungary

Abstract

The overall 5-year survival rate of ovarian cancer (OC) is generally low as the disease is often diagnosed at an advanced stage of progression. To save lives, OC must be identified in its early stages when treatment is most effective. Early-stage OC causes the upregulation of lysophosphatidic acid (LPA), making the molecule a promising biomarker for early-stage detection. An LPA assay can additionally stage the disease since LPA levels increase with OC progression. This work presents two methods that demonstrate the prospective application for detecting LPA: the electromagnetic piezoelectric acoustic sensor (EMPAS) and a chemiluminescence-based iron oxide nanoparticle (IONP) approach. Both methods incorporate the protein complex gelsolin–actin, which enables testing for detection of the biomarker as the binding of LPA to the complex results in the separation of gelsolin from actin. The EMPAS was characterized with contact angle goniometry and atomic force microscopy, while gelsolin–actin-functionalized IONPs were characterized with transmission electron microscopy and Fourier transform infrared spectroscopy. In addition to characterization, LPA detection was demonstrated as a proof-of-concept in Milli-Q water, buffer, or human serum, highlighting various LPA assays that can be developed for the early-stage detection of OC.

Funder

Science Agency VEGA

European Union’s Horizon 2020 research and innovation program

Canadian Institutes of Health Research

Publisher

MDPI AG

Reference28 articles.

1. Immunobiology of high-grade serous ovarian cancer: Lessons for clinical translation;Kandalaft;Nat. Rev. Cancer,2022

2. Ovarian cancer statistics, 2018;Torre;CA Cancer J. Clin.,2018

3. Sensor detection in gynaecological medicine;Thompson;Sens. Diagn.,2022

4. Lysophosphatidic acid as a potential biomarker for ovarian and other gynecologic cancers;Xu;JAMA,1998

5. Lysophosphatidic acid (LPA)—A perspective marker in ovarian cancer;Hanousek;Tumor Bio.,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3