The DOI matches its Crossref record; 177 of the 177 references it cites were found in a registry or an index.
Liquid biopsy of cancer: a multimodal diagnostic tool in clinical oncology
Open accessAbstract
Over the last decades, the concept of precision medicine has dramatically renewed the field of medical oncology; the introduction of patient-tailored therapies has significantly improved all measurable outcomes. Liquid biopsy is a revolutionary technique that is opening previously unexpected perspectives. It consists of the detection and isolation of circulating tumor cells, circulating tumor DNA and exosomes, as a source of genomic and proteomic information in patients with cancer. Many technical hurdles have been resolved thanks to newly developed techniques and next-generation sequencing analyses, allowing a broad application of liquid biopsy in a wide range of settings. Initially correlated to prognosis, liquid biopsy data are now being studied for cancer diagnosis, hopefully including screenings, and most importantly for the prediction of response or resistance to given treatments. In particular, the identification of specific mutations in target genes can aid in therapeutic decisions, both in the appropriateness of treatment and in the advanced identification of secondary resistance, aiming to early diagnose disease progression. Still application is far from reality but ongoing research is leading the way to a new era in oncology. This review summarizes the main techniques and applications of liquid biopsy in cancer.
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Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands.
Herman, J. G., Graff, J. R., Myöhänen, S., Nelkin, B. D., & Baylin, S. B. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.18.9821 · Cited by 5,646
Exosomes: composition, biogenesis and function
Théry, C., Zitvogel, L., & Amigorena, S. (2002) · Nature Reviews Immunology · doi:10.1038/nri855 · Cited by 5,346
Skog, J., Würdinger, T., van Rijn, S., Meijer, D. H., Gainche, L., Curry, W. T., Carter, B. S., Krichevsky, A. M., & Breakefield, X. O. (2008) · Nature Cell Biology · doi:10.1038/ncb1800 · Cited by 5,001
Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer
Cristofanilli, M., Budd, G. T., Ellis, M. J., Stopeck, A., Matera, J., Miller, M. C., Reuben, J. M., Doyle, G. V., Allard, W. J., Terstappen, L. W. M. M., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040766 · Cited by 4,593
Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence
Genovese, G., Kähler, A. K., Handsaker, R. E., Lindberg, J., Rose, S. A., Bakhoum, S. F., Chambert, K., Mick, E., Neale, B. M., Fromer, M., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1409405 · Cited by 3,531
Sequist, L. V., Yang, J. C.-H., Yamamoto, N., O'Byrne, K., Hirsh, V., Mok, T., Geater, S. L., Orlov, S., Tsai, C.-M., Boyer, M., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.44.2806 · Cited by 3,228
Liquid biopsies come of age: Towards implementation of circulating tumour DNA
Wan, J. C. M., Massie, C., Garcia-Corbacho, J., Mouliere, F., Brenton, J. D., Caldas, C., Pacey, S., Baird, R., & Rosenfeld, N. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.7 · Cited by 2,809
Circulating mutant DNA to assess tumor dynamics
Diehl, F., Schmidt, K., Choti, M. A., Romans, K., Goodman, S., Li, M., Thornton, K., Agrawal, N., Sokoll, L., Szabo, S. A., et al. (2008) · Nature Medicine · doi:10.1038/nm.1789 · Cited by 2,734
Cited by
Xu, J., Yang, P., Xue, S., Sharma, B., Sanchez-Martin, M., Wang, F., Beaty, K. A., Dehan, E., & Parikh, B. (2019) · Human Genetics · doi:10.1007/s00439-019-01970-5 · Cited by 305
ctDNA as a cancer biomarker: A broad overview
Pessoa, L. S., Heringer, M., & Ferrer, V. P. (2020) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2020.103109 · Cited by 298
Han, Y., & Kim, S. Y. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00906-w · Cited by 201
Implementing biological markers as a tool to guide clinical care of patients with pancreatic cancer
Iovanna, J. (2021) · Translational Oncology · doi:10.1016/j.tranon.2020.100965 · Cited by 18
Metadata
- Authors
- Palmirotta, R., Lovero, D., Cafforio, P., Felici, C., Mannavola, F., Pellè, E., Quaresmini, D., Tucci, M., & Silvestris, F.
- Venue
- Therapeutic Advances in Medical Oncology
- Publisher
- SAGE Publications
- Published
- 2018-01
- Volume
- 10
- Pages
- 1758835918794630-1758835918794630
- ISSN
- 1758-8340 (ISSN-L)
- 1758-8359
- OpenAlex
- W2888992486
- Cited by
- 423
- References
- 177
- FWCI
- 14.09
- Type
- journal article
- Language
- en
- Open access
- gold
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- Palmirotta, R., Lovero, D., Cafforio, P., Felici, C., Mannavola, F., Pellè, E., Quaresmini, D., Tucci, M., & Silvestris, F. (2018). Liquid biopsy of cancer: a multimodal diagnostic tool in clinical oncology. Therapeutic Advances in Medical Oncology. https://doi.org/10.1177/1758835918794630
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