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Journal of Medical Virology
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Advanced technologies towards improved HPV diagnostics

Authors: Martin Bartosik; Ludmila Moranova; Nasim Izadi; Johana Strmiskova; Ravery Sebuyoya; Jitka Holcakova; Roman Hrstka;

Advanced technologies towards improved HPV diagnostics

Abstract

Abstract Persistent infection with high‐risk types of human papillomaviruses (HPV) is a major cause of cervical cancer, and an important factor in other malignancies, for example, head and neck cancer. Despite recent progress in screening and vaccination, the incidence and mortality are still relatively high, especially in low‐income countries. The mortality and financial burden associated with the treatment could be decreased if a simple, rapid, and inexpensive technology for HPV testing becomes available, targeting individuals for further monitoring with increased risk of developing cancer. Commercial HPV tests available in the market are often relatively expensive, time‐consuming, and require sophisticated instrumentation, which limits their more widespread utilization. To address these challenges, novel technologies are being implemented also for HPV diagnostics that include for example, isothermal amplification techniques, lateral flow assays, CRISPR‐Cas‐based systems, as well as microfluidics, paperfluidics and lab‐on‐a‐chip devices, ideal for point‐of‐care testing in decentralized settings. In this review, we first evaluate current commercial HPV tests, followed by a description of advanced technologies, explanation of their principles, critical evaluation of their strengths and weaknesses, and suggestions for their possible implementation into medical diagnostics.

Country
Czech Republic
Keywords

Technology, Papillomavirus Infections, Humans, Uterine Cervical Neoplasms, Female, Human Papillomavirus Viruses, RISPR-Cas; human papillomavirus; isothermal amplification techniques; lab-on-a-chip; lateral flow assay; nanomaterials, Papillomaviridae

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    49
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 1%
Top 10%
Top 1%
Green
hybrid
Related to Research communities
Cancer Research