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Recent advances in salivary cancer diagnostics enabled by biosensors and bioelectronics.
Mishra, Saswat; Saadat, Darius; Kwon, Ohjin; Lee, Yongkuk; Choi, Woon-Seop; Kim, Jong-Hoon; Yeo, Woon-Hong.
Afiliação
  • Mishra S; Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
  • Saadat D; School of Engineering and Computer Science, Washington State University, Vancouver, WA 98686, USA.
  • Kwon O; Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
  • Lee Y; Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
  • Choi WS; School of Display Engineering, Hoseo University, Asan, Republic of Korea.
  • Kim JH; School of Engineering and Computer Science, Washington State University, Vancouver, WA 98686, USA. Electronic address: jh.kim@wsu.edu.
  • Yeo WH; Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA; Center for Rehabilitation Science and Engineering, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA. Electronic address: whyeo@vcu.edu.
Biosens Bioelectron ; 81: 181-197, 2016 Jul 15.
Article em En | MEDLINE | ID: mdl-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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saliva / Técnicas Biossensoriais / Biomarcadores Tumorais / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saliva / Técnicas Biossensoriais / Biomarcadores Tumorais / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article