Circulating microRNAs as stable blood-based markers for cancer detection
Open accessAbstract
Improved approaches for the detection of common epithelial malignancies are urgently needed to reduce the worldwide morbidity and mortality caused by cancer. MicroRNAs (miRNAs) are small ( approximately 22 nt) regulatory RNAs that are frequently dysregulated in cancer and have shown promise as tissue-based markers for cancer classification and prognostication. We show here that miRNAs are present in human plasma in a remarkably stable form that is protected from endogenous RNase activity. miRNAs originating from human prostate cancer xenografts enter the circulation, are readily measured in plasma, and can robustly distinguish xenografted mice from controls. This concept extends to cancer in humans, where serum levels of miR-141 (a miRNA expressed in prostate cancer) can distinguish patients with prostate cancer from healthy controls. Our results establish the measurement of tumor-derived miRNAs in serum or plasma as an important approach for the blood-based detection of human cancer.
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Extracellular miRNAs are highly stable, resisting degradation at room temperature for up to 4 days and in deleterious conditions such as boiling, multiple freeze-thaw cycles, and high or low pH.
“Contrary to cellular RNA species, extracellular miRNAs are highly stable, resisting degradation at room temperature for up to 4 days and in deleterious conditions such as boiling, multiple freeze-thaw cycles, and high or low pH (117, 124).”
From Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation (2018) · cites this paper as [124]
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Circulating MicroRNAs as Minimally Invasive Biomarkers for Cancer Theragnosis and Prognosis
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- Authors
- Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., Lin, D. W., Urban, N., Drescher, C. W., Knudsen, B. S., Stirewalt, D. L., Gentleman, R., Vessella, R. L., Nelson, P. S., Martin, D. B., & Tewari, M.
- Affiliations
- Fred Hutch Cancer Center (US)
- Illumina (United States) (US)
- Clinical Research, and
- University of Washington (US)
- Institute for Systems Biology (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2008-07-29
- Volume
- 105
- Issue
- 30
- Pages
- 10513-10518
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2492472
- OpenAlex
- W2115093090
- Cited by
- 7,969
- References
- 28
- Citations by year
- 2026: 202 · 2025: 252 · 2024: 270 · 2023: 392 · 2022: 409 · 2021: 513 · 2020: 564 · 2019: 548 · 2018: 564 · 2017: 586 · 2016: 621 · 2015: 693 · 2014: 646 · 2013: 599 · 2012: 446
- FWCI
- 74.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Fondation pour la Recherche Médicale
- National Institutes of Health (5p50ca083636-15)
- National Cancer Institute (P50-CA083636, CA 83636, P50 CA83636, P01CA085859, P50-CA97186, P50CA097186)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30-DK56465, P30DK056465)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- circulating microRNAs, cancer detection, miR-141, prostate cancer, xenografts, serum biomarkers
- MeSH terms
- Animals, Cloning, Molecular, Humans, Male, Neoplasm Transplantation, Neoplasms, Prostatic Neoplasms, Ribonucleases, RNA, Neoplasm, Sensitivity and Specificity, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Gene Expression Profiling, MicroRNAs, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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