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Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer
The grand challenges of ovarian cancer early diagnosis have led to an alarmingly high mortality rate from ovarian cancer (OC) in the past half century. In vitro diagnosis (IVD) has great potential in the early diagnosis of OC through non-invasive and dynamic analysis of biomarkers. However, common I...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861407/ https://www.ncbi.nlm.nih.gov/pubmed/35243293 http://dx.doi.org/10.1016/j.mtbio.2022.100218 |
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author | Yang, Yuqi Huang, Qiong Xiao, Zuoxiu Liu, Min Zhu, Yan Chen, Qiaohui Li, Yumei Ai, Kelong |
author_facet | Yang, Yuqi Huang, Qiong Xiao, Zuoxiu Liu, Min Zhu, Yan Chen, Qiaohui Li, Yumei Ai, Kelong |
author_sort | Yang, Yuqi |
collection | PubMed |
description | The grand challenges of ovarian cancer early diagnosis have led to an alarmingly high mortality rate from ovarian cancer (OC) in the past half century. In vitro diagnosis (IVD) has great potential in the early diagnosis of OC through non-invasive and dynamic analysis of biomarkers. However, common IVDs often fail to provide reliable test results due to lack of sensitivity, specificity, and convenience. In recent years, the discovery of new biomarkers and the progress of nanomaterials can solve the shortcomings of traditional IVD for early OC. These emerging biosensors based on nanomaterials offer great improvements in convenience, speed, selectivity, and sensitivity of IVD. In this review, we firstly systematically summarized the limits of commercial IVD biosensors of OC and the latest discovery of new biomarkers for OC. The representative optimization strategies for six potential ovarian cancer biomarkers are systematically discussed with emphasis on nanomaterial selection and the design of detection principles. Then, various strategies adopted by emerging biosensors based on nanomaterials are also introduced in detail, including optical, electrochemical, microfluidic, and surface plasmon sensors. Finally, current challenges of early OC IVD are proposed, and future research directions on this promising field are also discussed. |
format | Online Article Text |
id | pubmed-8861407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88614072022-03-02 Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer Yang, Yuqi Huang, Qiong Xiao, Zuoxiu Liu, Min Zhu, Yan Chen, Qiaohui Li, Yumei Ai, Kelong Mater Today Bio Full Length Article The grand challenges of ovarian cancer early diagnosis have led to an alarmingly high mortality rate from ovarian cancer (OC) in the past half century. In vitro diagnosis (IVD) has great potential in the early diagnosis of OC through non-invasive and dynamic analysis of biomarkers. However, common IVDs often fail to provide reliable test results due to lack of sensitivity, specificity, and convenience. In recent years, the discovery of new biomarkers and the progress of nanomaterials can solve the shortcomings of traditional IVD for early OC. These emerging biosensors based on nanomaterials offer great improvements in convenience, speed, selectivity, and sensitivity of IVD. In this review, we firstly systematically summarized the limits of commercial IVD biosensors of OC and the latest discovery of new biomarkers for OC. The representative optimization strategies for six potential ovarian cancer biomarkers are systematically discussed with emphasis on nanomaterial selection and the design of detection principles. Then, various strategies adopted by emerging biosensors based on nanomaterials are also introduced in detail, including optical, electrochemical, microfluidic, and surface plasmon sensors. Finally, current challenges of early OC IVD are proposed, and future research directions on this promising field are also discussed. Elsevier 2022-02-15 /pmc/articles/PMC8861407/ /pubmed/35243293 http://dx.doi.org/10.1016/j.mtbio.2022.100218 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full Length Article Yang, Yuqi Huang, Qiong Xiao, Zuoxiu Liu, Min Zhu, Yan Chen, Qiaohui Li, Yumei Ai, Kelong Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
title | Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
title_full | Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
title_fullStr | Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
title_full_unstemmed | Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
title_short | Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
title_sort | nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861407/ https://www.ncbi.nlm.nih.gov/pubmed/35243293 http://dx.doi.org/10.1016/j.mtbio.2022.100218 |
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