Recent work has revealed that the levels of multiple microRNAs in serum are informative as biomarkers for the diagnosis of cancers. Researchers designed a DNA molecular computation platform for the analysis of miRNA profiles in clinical serum samples. A computational classifier is first trained in silico using miRNA profiles from The Cancer Genome Atlas. This is followed by a computationally powerful but simple molecular implementation scheme using DNA, as well as an effective in situ amplification and transformation method for miRNA enrichment in serum without perturbing the original variety and quantity information.
Researchers have successfully achieved rapid and accurate cancer diagnosis using clinical serum samples from 22 healthy people and people with lung cancer with an accuracy of 86.4%. This DNA computational platform should inspire more clinical applications towards inexpensive, non-invasive and rapid disease screening, classification and progress monitoring.
SOURCES- Zhang, C., Zhao, Y., Xu, X. et al. Cancer diagnosis with DNA molecular computation. Nat. Nanotechnol. (2020). https://doi.org/10.1038/s41565-020-0699-0
Written by Brian Wang, Nextbigfuture.com
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