Smart DNA sensors‐based molecular identification for cancer subtyping

Author:

Gao Yingying1,Xiong Mengyi1,Gong Chaonan1,Wang Bo1,Bai Longwei1,Zhang Xiao‐Bing1ORCID

Affiliation:

1. Molecular Science and Biomedicine Laboratory State Key Laboratory of Chemo/Biosensing and Chemometrics Collaborative Innovation Center for Chemistry and Molecular Medicine College of Chemistry and Chemical Engineering Hunan University Changsha Hunan China

Abstract

AbstractMolecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior. Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy. During the past decades, DNA‐based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity. Despite the encouraging progress that has been made, there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease, especially in preclinical or clinical applications. To accelerate the development of DNA sensors in the identification of cancer subtypes, in this review, we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes. The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface, as well as the cancer excretions including extracellular vesicles (EVs) and microRNA (miRNAs) in serum, are summarized. Current challenges and the opportunities of DNA‐based sensors in this field are also discussed.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

China Postdoctoral Science Foundation

Publisher

Wiley

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