The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Cell-Free DNA and Apoptosis: How Dead Cells Inform About the Living
Abstract
Cell-free DNA (cfDNA) is evolving into a widely used prognostic and predictive biomarker, particularly in oncology. However, its versatile clinical use precedes a profound understanding of the underlying biology of cfDNA release. There is much evidence to suggest that cfDNA is mainly derived from dying (i.e., apoptotic) cells. However, numerous cancer studies have shown that cfDNA is informative about acquired resistance to given therapies, which is present in living, proliferating tumor subclones. To explain this contradiction, we review current insights regarding cfDNA release, in particular the interplay between apoptosis and proliferation. We describe how improved knowledge about cfDNA biology could be used for novel therapeutic strategies and how this may affect patient management.
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Cites
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Cited by
Dyrskjøt, L., Hansel, D. E., Efstathiou, J. A., Knowles, M. A., Galsky, M. D., Teoh, J., & Theodorescu, D. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00468-9 · Cited by 544
Bridging biological cfDNA features and machine learning approaches
Moser, T., Kühberger, S., Lazzeri, I., Vlachos, G., & Heitzer, E. (2023) · Trends in Genetics · doi:10.1016/j.tig.2023.01.004 · Cited by 133
Self-citationMaqueda, J. J., De Feo, A., & Scotlandi, K. (2024) · Biomolecules · doi:10.3390/biom14101306 · Cited by 4
Metadata
- Authors
- Heitzer, E., Auinger, L., & Speicher, M. R.
- Venue
- Trends in Molecular Medicine
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 26
- Issue
- 5
- Pages
- 519-528
- ISSN
- 1471-4914 (ISSN-L)
- OpenAlex
- W3007237049
- Cited by
- 284
- References
- 88
- FWCI
- 4.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- Heitzer, E., Auinger, L., & Speicher, M. R. (2020). Cell-Free DNA and Apoptosis: How Dead Cells Inform About the Living. Trends in Molecular Medicine. https://doi.org/10.1016/j.molmed.2020.01.012
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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.
