The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Exosomal miRNAs as cancer biomarkers and therapeutic targets
Open accessAbstract
Intercommunication between cancer cells and with their surrounding and distant environments is key to the survival, progression and metastasis of the tumour. Exosomes play a role in this communication process. MicroRNA (miRNA) expression is frequently dysregulated in tumour cells and can be reflected by distinct exosomal miRNA (ex‐miRNA) profiles isolated from the bodily fluids of cancer patients. Here, the potential of ex‐miRNA as a cancer biomarker and therapeutic target is critically analysed. Exosomes are a stable source of miRNA in bodily fluids but, despite a number of methods for exosome extraction and miRNA quantification, their suitability for diagnostics in a clinical setting is questionable. Furthermore, exosomally transferred miRNAs can alter the behaviour of recipient tumour and stromal cells to promote oncogenesis, highlighting a role in cell communication in cancer. However, our incomplete understanding of exosome biogenesis and miRNA loading mechanisms means that strategies to target exosomes or their transferred miRNAs are limited and not specific to tumour cells. Therefore, if ex‐miRNA is to be employed in novel non‐invasive diagnostic approaches and as a therapeutic target in cancer, two further advances are necessary: in methods to isolate and detect ex‐miRNA, and a better understanding of their biogenesis and functions in tumour‐cell communication.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Valadi, 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
Kowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., Dingli, F., Loew, D., Tkach, M., & Théry, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521230113 · Cited by 3,426
Saman, S., Kim, W., Raya, M., Visnick, Y., Miro, S., Saman, S., Jackson, B., McKee, A. C., Alvarez, V. E., Lee, N. C. Y., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.277061 · Cited by 985
Yang, M., Chen, J., Su, F., Yu, B., Su, F., Lin, L., Liu, Y., Huang, J.-D., & Song, E. (2011) · Molecular Cancer · doi:10.1186/1476-4598-10-117 · Cited by 693
Umezu, T., Tadokoro, H., Azuma, K., Yoshizawa, S., Ohyashiki, K., & Ohyashiki, J. H. (2014) · Blood · doi:10.1182/blood-2014-05-576116 · Cited by 600
Microfluidic isolation and transcriptome analysis of serum microvesicles
Chen, C., Skog, J., Hsu, C.-H., Lessard, R. T., Balaj, L., Wurdinger, T., Carter, B. S., Breakefield, X. O., Toner, M., & Irimia, D. (2010) · Lab Chip · doi:10.1039/b916199f · Cited by 572
The pre-metastatic niche: finding common ground
Sceneay, J., Smyth, M. J., & Möller, A. (2013) · Cancer and Metastasis Reviews · doi:10.1007/s10555-013-9420-1 · Cited by 422
Role of Pancreatic Cancer-derived Exosomes in Salivary Biomarker Development
Lau, C., Kim, Y., Chia, D., Spielmann, N., Eibl, G., Elashoff, D., Wei, F., Lin, Y.-L., Moro, A., Grogan, T., et al. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.452458 · Cited by 256
Cited by
The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
“Elevated circulating exosomal miR-21 has been associated with glioblastomas and pancreatic, colorectal, colon, liver, breast, ovarian, and esophageal cancers, and elevated urine-derived exosomal miR-21 has been associated with bladder and prostate cancer [reviewed in (193, 195)].”
Review on Strategies and Technologies for Exosome Isolation and Purification
Chen, J., Li, P., Zhang, T., Xu, Z., Huang, X., Wang, R., & Du, L. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.811971 · Cited by 585
MVP-mediated exosomal sorting of miR-193a promotes colon cancer progression
Teng, Y., Ren, Y., Hu, X., Mu, J., Samykutty, A., Zhuang, X., Deng, Z., Kumar, A., Zhang, L., Merchant, M. L., et al. (2017) · Nature Communications · doi:10.1038/ncomms14448 · Cited by 408
Hu, H., Dong, L., Bu, Z., Shen, Y., Luo, J., Zhang, H., Zhao, S., Lv, F., & Liu, Z. (2020) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2020.1778883 · Cited by 310
Wei, F., Ma, C., Zhou, T., Dong, X., Luo, Q., Geng, L., Ding, L., Zhang, Y., Zhang, L., Li, N., et al. (2017) · Molecular Cancer · doi:10.1186/s12943-017-0694-8 · Cited by 245
Chen, X., Luo, Y., Zhu, Q., Zhang, J., Huang, H., Kan, Y., Li, D., Xu, M., Liu, S., Li, J., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00612-4 · Cited by 174
Circulating Exosomal miRNA as Diagnostic Biomarkers of Neurodegenerative Diseases
Wang, L., & Zhang, L. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00053 · Cited by 164
Clinical applications for exosomes: Are we there yet?
Perocheau, D., Touramanidou, L., Gurung, S., Gissen, P., & Baruteau, J. (2021) · British Journal of Pharmacology · doi:10.1111/bph.15432 · Cited by 123
Research progress of CTC, ctDNA, and EVs in cancer liquid biopsy
Wang, X., Wang, L., Lin, H., Zhu, Y., Huang, D., Lai, M., Xi, X., Huang, J., Zhang, W., & Zhong, T. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1303335 · Cited by 112
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
Hu, H., Zhang, H., Bu, Z., Liu, Z., Lv, F., Pan, M., Huang, X., & Cheng, L. (2022) · International Journal of Nanomedicine · doi:10.2147/ijn.s389471 · Cited by 69
Exosomes: a promising avenue for cancer diagnosis beyond treatment
Wang, Z., Wang, Q., Qin, F., & Chen, J. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1344705 · Cited by 66
MicroRNAs in Extracellular Vesicles of Alzheimer’s Disease
Li, W., & Zheng, Y. (2023) · Cells · doi:10.3390/cells12101378 · Cited by 43
Exosomal microRNA-1 and MYO15A as a target for therapy and diagnosis in renal cell carcinoma
Yoshino, H., Tatarano, S., Tamai, M., Tsuruda, M., Iizasa, S., Arima, J., Kawakami, I., Fukumoto, W., Kawahara, I., Li, G., et al. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.09.056 · Cited by 24
Liu, Y., Xia, Y., Smollar, J., Mao, W., & Wan, Y. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2021.188539 · Cited by 23
Metadata
- Authors
- Thind, A., & Wilson, C.
- Venue
- Journal of Extracellular Vesicles
- Publisher
- Wiley
- Published
- 2016-01
- Volume
- 5
- Issue
- 1
- Pages
- 31292-31292
- ISSN
- 2001-3078 (ISSN-L)
- OpenAlex
- W2478736220
- Cited by
- 404
- References
- 9
- FWCI
- 15.50
- Type
- journal article
- Language
- en
- Open access
- gold
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
