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Cited by 401

The DOI matches its Crossref record; 151 of the 151 references it cites were found in a registry or an index.

Clinical relevance of blood-based ctDNA analysis: mutation detection and beyond

Open access
Keller, Laura, Belloum, Yassine, Wikman, Harriet, Pantel, Klaus·2021·British Journal of Cancer

Abstract

Cell-free DNA (cfDNA) derived from tumours is present in the plasma of cancer patients. The majority of currently available studies on the use of this circulating tumour DNA (ctDNA) deal with the detection of mutations. The analysis of cfDNA is often discussed in the context of the noninvasive detection of mutations that lead to resistance mechanisms and therapeutic and disease monitoring in cancer patients. Indeed, substantial advances have been made in this area, with the development of methods that reach high sensitivity and can interrogate a large number of genes. Interestingly, however, cfDNA can also be used to analyse different features of DNA, such as methylation status, size fragment patterns, transcriptomics and viral load, which open new avenues for the analysis of liquid biopsy samples from cancer patients. This review will focus on the new perspectives and challenges of cfDNA analysis from mutation detection in patients with solid malignancies.

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Metadata

Authors
Keller, L., Belloum, Y., Wikman, H., & Pantel, K.
Venue
British Journal of Cancer
Published
2020-09-24
Volume
124
Issue
2
Pages
345-358
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W3088621202
Cited by
401
References
151
FWCI
17.90
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Clinical relevance of blood-based ctDNA analysis: mutation detection and beyond. https://app.cochat.ai/papers/10.1038/s41416-020-01047-5
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Keller, L., Belloum, Y., Wikman, H., & Pantel, K. (2021). Clinical relevance of blood-based ctDNA analysis: mutation detection and beyond. British Journal of Cancer. https://doi.org/10.1038/s41416-020-01047-5

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.