The DOI matches its Crossref record; 217 of the 217 references it cites were found in a registry or an index.
Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments
Open accessAbstract
Over the past decade, invasive techniques for diagnosing and monitoring cancers are slowly being replaced by non-invasive methods such as liquid biopsy. Liquid biopsies have drastically revolutionized the field of clinical oncology, offering ease in tumor sampling, continuous monitoring by repeated sampling, devising personalized therapeutic regimens, and screening for therapeutic resistance. Liquid biopsies consist of isolating tumor-derived entities like circulating tumor cells, circulating tumor DNA, tumor extracellular vesicles, etc., present in the body fluids of patients with cancer, followed by an analysis of genomic and proteomic data contained within them. Methods for isolation and analysis of liquid biopsies have rapidly evolved over the past few years as described in the review, thus providing greater details about tumor characteristics such as tumor progression, tumor staging, heterogeneity, gene mutations, and clonal evolution, etc. Liquid biopsies from cancer patients have opened up newer avenues in detection and continuous monitoring, treatment based on precision medicine, and screening of markers for therapeutic resistance. Though the technology of liquid biopsies is still evolving, its non-invasive nature promises to open new eras in clinical oncology. The purpose of this review is to provide an overview of the current methodologies involved in liquid biopsies and their application in isolating tumor markers for detection, prognosis, and monitoring cancer treatment outcomes.
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2 retracted
Kang, M., Ren, M., Li, Y., Fu, Y., Deng, M., & Li, C. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-018-0845-9 · Cited by 180
RetractedLei, Y., Guo, W., Chen, B., Chen, L., Gong, J., & Li, W. (2018) · Oncology Reports · doi:10.3892/or.2018.6762 · Cited by 165
RetractedValadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
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
Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies
Bettegowda, C., Sausen, M., Leary, R. J., Kinde, I., Wang, Y., Agrawal, N., Bartlett, B. R., Wang, H., Luber, B., Alani, R. M., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007094 · Cited by 5,067
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
Isolation 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
Pao, W., Miller, V. A., Politi, K. A., Riely, G. J., Somwar, R., Zakowski, M. F., Kris, M. G., & Varmus, H. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020073 · Cited by 3,527
Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
Melo, S. A., Luecke, L. B., Kahlert, C., Fernandez, A. F., Gammon, S. T., Kaye, J., LeBleu, V. S., Mittendorf, E. A., Weitz, J., Rahbari, N., et al. (2015) · Nature · doi:10.1038/nature14581 · Cited by 2,880
Cited by
Han, Y., & Kim, S. Y. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00906-w · Cited by 201
Extracellular vesicles as personalized medicine
Beetler, D. J., Di Florio, D. N., Bruno, K. A., Ikezu, T., March, K. L., Cooper, L. T., Wolfram, J., & Fairweather, D. (2023) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2022.101155 · Cited by 101
Overcoming Barriers in Cancer Biology Research: Current Limitations and Solutions
(2025) · doi:10.3390/cancers17132102 · Cited by 44
A comprehensive overview of liquid biopsy applications in pediatric solid tumors
Janssen, F. W., Lak, N. S. M., Janda, C. Y., Kester, L. A., Meister, M. T., Merks, J. H. M., van den Heuvel-Eibrink, M. M., van Noesel, M. M., Zsiros, J., Tytgat, G. A. M., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00657-z · Cited by 32
Postwala, H., Shah, Y., Parekh, P. S., & Chorawala, M. R. (2023) · Medical Oncology · doi:10.1007/s12032-023-02201-8 · Cited by 26
Metadata
- Authors
- Lone, S. N., Nisar, S., Masoodi, T., Singh, M., Rizwan, A., Hashem, S., El-Rifai, W., Bedognetti, D., Batra, S. K., Haris, M., Bhat, A. A., & Macha, M. A.
- Venue
- Molecular Cancer
- Published
- 2022-03-18
- Volume
- 21
- Issue
- 1
- Pages
- 79-79
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W4220764901
- Cited by
- 819
- References
- 217
- FWCI
- 57.50
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments. https://app.cochat.ai/papers/10.1186/s12943-022-01543-7
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- Lone, S. N., Nisar, S., Masoodi, T., Singh, M., Rizwan, A., Hashem, S., El-Rifai, W., Bedognetti, D., Batra, S. K., Haris, M., Bhat, A. A., & Macha, M. A. (2022). Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments. Molecular Cancer. https://doi.org/10.1186/s12943-022-01543-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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