Atomic force microscopy-based cancer diagnosis by detecting cancer-specific biomolecules and cells.
Atomic force microscopy (AFM)
Biomolecular interactions
Biomolecule/cell detection
Cancer
Cancer progression
Cantilever
Imaging
Journal
Biochimica et biophysica acta. Reviews on cancer
ISSN: 1879-2561
Titre abrégé: Biochim Biophys Acta Rev Cancer
Pays: Netherlands
ID NLM: 9806362
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
30
01
2019
revised:
21
03
2019
accepted:
26
03
2019
pubmed:
6
4
2019
medline:
24
8
2019
entrez:
6
4
2019
Statut:
ppublish
Résumé
Atomic force microscopy (AFM) has recently attracted much attention due to its ability to analyze biomolecular interactions and to detect certain biomolecules, which play a crucial role in disease expression. Despite recent studies reporting AFM imaging for the analyses of biomolecules, the application of AFM-based cancer-specific biomolecule/cell detection has remained largely underexplored, especially for the early diagnosis of cancer. In this paper, we review the recent attempts, including our efforts, to analyze and detect cancer-specific biomolecules and cancer cells. We particularly focus on two AFM-based cancer diagnosis techniques: (i) AFM imaging-based biomolecular and cellular detection, (ii) AFM cantilever-based biomolecular sensing and cell analysis. It is shown that AFM-based biomolecular detection has been applied for not only early diagnosing cancer, by measuring the minute amount of cancer-specific proteins, but also monitoring of cancer progression, by correlating the amount of cancer-specific proteins with the progression of cancer. In addition, AFM-based cell imaging and detection have been employed for diagnosing cancer, by detecting cancerous cells in tissue, as well as understanding cancer progression, by characterizing the dynamics of cancer cells. This review, therefore, highlights AFM-based biomolecule/cell detection, which will pave the way for developing a fast and point-of-care diagnostic system for biomedical applications.
Identifiants
pubmed: 30951816
pii: S0304-419X(19)30022-8
doi: 10.1016/j.bbcan.2019.03.002
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Pagination
367-378Informations de copyright
Copyright © 2019. Published by Elsevier B.V.