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Cited by 319

The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.

Limitations and opportunities of technologies for the analysis of cell-free DNA in cancer diagnostics

Open access
Song, Ping, Wu, Lucia Ruojia, Yan, Yan Helen, Zhang, Jinny X., Chu, Tianqing, Kwong, Lawrence N., Patel, Abhijit A., Zhang, David Yu·2022·Nature Biomedical Engineering

Abstract

Cell-free DNA (cfDNA) in the circulating blood plasma of patients with cancer contains tumour-derived DNA sequences that can serve as biomarkers for guiding therapy, for the monitoring of drug resistance, and for the early detection of cancers. However, the analysis of cfDNA for clinical diagnostic applications remains challenging because of the low concentrations of cfDNA, and because cfDNA is fragmented into short lengths and is susceptible to chemical damage. Barcodes of unique molecular identifiers have been implemented to overcome the intrinsic errors of next-generation sequencing, which is the prevailing method for highly multiplexed cfDNA analysis. However, a number of methodological and pre-analytical factors limit the clinical sensitivity of the cfDNA-based detection of cancers from liquid biopsies. In this Review, we describe the state-of-the-art technologies for cfDNA analysis, with emphasis on multiplexing strategies, and discuss outstanding biological and technical challenges that, if addressed, would substantially improve cancer diagnostics and patient care. This Review discusses the challenges and opportunities, biological and technical, of technologies for the analysis of cell-free DNA for the diagnosis of cancer.

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Metadata

Authors
Song, P., Wu, L. R., Yan, Y. H., Zhang, J. X., Chu, T., Kwong, L. N., Patel, A. A., & Zhang, D. Y.
Venue
Nature Biomedical Engineering
Published
2022-01-31
Volume
6
Issue
3
Pages
232-245
ISSN
2157-846X (ISSN-L)
OpenAlex
W4221030128
Cited by
319
References
145
FWCI
22.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Limitations and opportunities of technologies for the analysis of cell-free DNA in cancer diagnostics. https://app.cochat.ai/papers/10.1038/s41551-021-00837-3
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Song, P., Wu, L. R., Yan, Y. H., Zhang, J. X., Chu, T., Kwong, L. N., Patel, A. A., & Zhang, D. Y. (2022). Limitations and opportunities of technologies for the analysis of cell-free DNA in cancer diagnostics. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-021-00837-3

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