The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.
Liquid Biopsy: From Discovery to Clinical Application
Abstract
Over the past 10 years, circulating tumor cells (CTC) and circulating tumor DNA (ctDNA) have received enormous attention as new biomarkers and subjects of translational research. Although both biomarkers are already used in numerous clinical trials, their clinical utility is still under investigation with promising first results. Clinical applications include early cancer detection, improved cancer staging, early detection of relapse, real-time monitoring of therapeutic efficacy, and detection of therapeutic targets and resistance mechanisms. Here, we propose a conceptual framework of CTC and ctDNA assays and point out current challenges of CTC and ctDNA research, which might structure this dynamic field of translational cancer research. Significance: The analysis of blood for CTCs or cell-free nucleic acids called “liquid biopsy” has opened new avenues for cancer diagnostics, including early detection of tumors, improved risk assessment and staging, as well as early detection of relapse and monitoring of tumor evolution in the context of cancer therapies.
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The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774 · cited 1×
“Even if one metastatic lesion can be biopsied, substantial genetic heterogeneity of metastatic lesions located at different sites in the same patient has been demonstrated (111).”
BackgroundTumour exosome integrins determine organotropic metastasis
Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Tesic Mark, M., Molina, H., Kohsaka, S., Di Giannatale, A., Ceder, S., et al. (2015) · Nature · doi:10.1038/nature15756 · Cited by 5,101
Self-citationIsolation of rare circulating tumour cells in cancer patients by microchip technology
Nagrath, S., Sequist, L. V., Maheswaran, S., Bell, D. W., Irimia, D., Ulkus, L., Smith, M. R., Kwak, E. L., Digumarthy, S., Muzikansky, A., et al. (2007) · Nature · doi:10.1038/nature06385 · Cited by 3,559
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
Cell-free nucleic acids as biomarkers in cancer patients
Schwarzenbach, H., Hoon, D. S. B., & Pantel, K. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3066 · Cited by 2,891
Self-citationDetection and localization of surgically resectable cancers with a multi-analyte blood test
Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., et al. (2018) · Science · doi:10.1126/science.aar3247 · Cited by 2,783
Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis
Aceto, N., Bardia, A., Miyamoto, D. T., Donaldson, M. C., Wittner, B. S., Spencer, J. A., Yu, M., Pely, A., Engstrom, A., Zhu, H., et al. (2014) · Cell · doi:10.1016/j.cell.2014.07.013 · Cited by 2,441
EMT and Dissemination Precede Pancreatic Tumor Formation
Rhim, A. D., Mirek, E. T., Aiello, N. M., Maitra, A., Bailey, J. M., McAllister, F., Reichert, M., Beatty, G. L., Rustgi, A. K., Vonderheide, R. H., et al. (2012) · Cell · doi:10.1016/j.cell.2011.11.025 · Cited by 2,136
Isolation of circulating tumor cells using a microvortex-generating herringbone-chip
Stott, S. L., Hsu, C.-H., Tsukrov, D. I., Yu, M., Miyamoto, D. T., Waltman, B. A., Rothenberg, S. M., Shah, A. M., Smas, M. E., Korir, G. K., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012539107 · Cited by 1,634
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Pascual, J., Attard, G., Bidard, F.-C., Curigliano, G., De Mattos-Arruda, L., Diehn, M., Italiano, A., Lindberg, J., Merker, J. D., Montagut, C., et al. (2022) · Annals of Oncology · doi:10.1016/j.annonc.2022.05.520 · Cited by 783
Self-citationHow to build the virtual cell with artificial intelligence: Priorities and opportunities
Bunne, C., Roohani, Y., Rosen, Y., Gupta, A., Zhang, X., Roed, M., Alexandrov, T., AlQuraishi, M., Brennan, P., Burkhardt, D. B., et al. (2024) · Cell · doi:10.1016/j.cell.2024.11.015 · Cited by 393
“141 Through the virtual cell’s implicit and structured representation of universal cell types and states, one can envision the creation of patient models of inaccessible cell types, such as beta cells in the pancreas or neurons in the brain, generated after sampling accessible cell types such as…”
Circulating tumor cell isolation for cancer diagnosis and prognosis
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Biomarkers for immunotherapy of hepatocellular carcinoma
Greten, T. F., Villanueva, A., Korangy, F., Ruf, B., Yarchoan, M., Ma, L., Ruppin, E., & Wang, X. W. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00816-4 · Cited by 227
Metadata
- Authors
- Alix-Panabières, C., & Pantel, K.
- Venue
- Cancer Discovery
- Published
- 2021-04-01
- Volume
- 11
- Issue
- 4
- Pages
- 858-873
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W3142541826
- Cited by
- 953
- References
- 150
- FWCI
- 52.63
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
