Issue 68, 2017

Piecing together the puzzle: nanopore technology in detection and quantification of cancer biomarkers

Abstract

Cancer is the result of a multistep process, including various genetic and epigenetic alterations, such as structural variants, transcriptional factors, telomere length, DNA methylation, histone–DNA modification, and aberrant expression of miRNAs. These changes cause gene defects in one of two ways: (1) gain in function which shows enhanced expression or activation of oncogenes, or (2) loss of function which shows repression or inactivation of tumor-suppressor genes. However, most conventional methods for screening and diagnosing cancers require highly trained experts, intensive labor, large counter space (footprint) and extensive capital costs. Consequently, current approaches for cancer detection are still considered highly novel and are not yet practically applicable for clinical usage. Nanopore-based technology has grown rapidly in recent years, which have seen the wide application of biosensing research to a number of life sciences. In this review paper, we present a comprehensive outline of various genetic and epigenetic causal factors of cancer at the molecular level, as well as the use of nanopore technology in the detection and study of those specific factors. With the ability to detect both genetic and epigenetic alterations, nanopore technology would offer a cost-efficient, labor-free and highly practical approach to diagnosing pre-cancerous stages and early-staged tumors in both clinical and laboratory settings.

Graphical abstract: Piecing together the puzzle: nanopore technology in detection and quantification of cancer biomarkers

Article information

Article type
Review Article
Submitted
21 Jul 2017
Accepted
28 Aug 2017
First published
04 Sep 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 42653-42666

Piecing together the puzzle: nanopore technology in detection and quantification of cancer biomarkers

T. Vu, S. Davidson, J. Borgesi, M. Maksudul, T. Jeon and J. Shim, RSC Adv., 2017, 7, 42653 DOI: 10.1039/C7RA08063H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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