Journal article
Recent advances in salivary cancer diagnostics enabled by biosensors and bioelectronics
Biosensors & bioelectronics, Vol.81, pp.181-197
07/15/2016
Handle:
https://hdl.handle.net/2376/104492
PMID: 26946257
Abstract
There is a high demand for a non-invasive, rapid, and highly accurate tool for disease diagnostics. Recently, saliva based diagnostics for the detection of specific biomarkers has drawn significant attention since the sample extraction is simple, cost-effective, and precise. Compared to blood, saliva contains a similar variety of DNA, RNA, proteins, metabolites, and microbiota that can be compiled into a multiplex of cancer detection markers. The salivary diagnostic method holds great potential for early-stage cancer diagnostics without any complicated and expensive procedures. Here, we review various cancer biomarkers in saliva and compare the biomarkers efficacy with traditional diagnostics and state-of-the-art bioelectronics. We summarize biomarkers in four major groups: genomics, transcriptomics, proteomics, and metabolomics/microbiota. Representative bioelectronic systems for each group are summarized based on various stages of a cancer. Systematic study of oxidative stress establishes the relationship between macromolecules and cancer biomarkers in saliva. We also introduce the most recent examples of salivary diagnostic electronics based on nanotechnologies that can offer rapid, yet highly accurate detection of biomarkers. A concluding section highlights areas of opportunity in the further development and applications of these technologies.
•This review summarizes salivary cancer biomarkers in four functional groups.•Salivary biomarker detection holds great potential for early-stage cancer diagnosis.•We review the most widely used biosensors and bioelectronics for cancer biomarkers.•We discuss about recent in vivo biosensors for the use in salivary diagnostics.
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Details
- Title
- Recent advances in salivary cancer diagnostics enabled by biosensors and bioelectronics
- Creators
- Saswat Mishra - Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USADarius Saadat - School of Engineering and Computer Science, Washington State University, Vancouver, WA 98686, USAOhjin Kwon - Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USAYongkuk Lee - Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USAWoon-Seop Choi - School of Display Engineering, Hoseo University, Asan, Republic of KoreaJong-Hoon Kim - School of Engineering and Computer Science, Washington State University, Vancouver, WA 98686, USAWoon-Hong Yeo - Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
- Publication Details
- Biosensors & bioelectronics, Vol.81, pp.181-197
- Academic Unit
- Biomedical Sciences, Department of; Engineering and Computer Science (VANC), School of
- Publisher
- Elsevier B.V
- Identifiers
- 99900546949801842
- Language
- English
- Resource Type
- Journal article