The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Circulating microRNAs as potential cancer biomarkers: the advantage and disadvantage
Open accessAbstract
MicroRNAs are endogenous single-stranded non-coding small RNA molecules that can be secreted into the circulation and exist stably. They usually exhibit aberrant expression under different physiological and pathological conditions. Recently, differentially expressed circulating microRNAs were focused on as potential biomarkers for cancer screening. We herein review the role of circulating microRNAs for cancer diagnosis, tumor subtype classification, chemo- or radio-resistance monitoring, and outcome prognosis. Moreover, circulating microRNAs still have several issues hindering their reliability for the practical clinical application. Future studies need to elucidate further potential application of circulating microRNAs as specific and sensitive markers for clinical diagnosis or prognosis in cancers.
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Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
Nishita, M., Park, S.-Y., Nishio, T., Kamizaki, K., Wang, Z., Tamada, K., Takumi, T., Hashimoto, R., Otani, H., Pazour, G. J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-016-0028-x · Cited by 15,947
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
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
Circulating microRNAs as stable blood-based markers for cancer detection
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., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
MicroRNA signatures in human cancers
Calin, G. A., & Croce, C. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1997 · Cited by 7,590
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
The Versatile Role of microRNA-30a in Human Cancer
Wang, C., Yang, X., Chen, Y., & Chen, L. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000471111 · Cited by 3,409
Bushati, N., & Cohen, S. M. (2007) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.23.090506.123406 · Cited by 2,750
MicroRNA biogenesis pathways in cancer
Lin, S., & Gregory, R. I. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3932 · Cited by 2,112
Progress and prospects of early detection in lung cancer
Blandin Knight, S., Crosbie, P. A., Balata, H., Chudziak, J., Hussell, T., & Dive, C. (2017) · Open Biology · doi:10.1098/rsob.170070 · Cited by 935
Cited by
Trials and Tribulations of MicroRNA Therapeutics
Seyhan, A. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031469 · Cited by 381
Therapeutic Cancer Vaccines—T Cell Responses and Epigenetic Modulation
Kartikasari, A. E. R., Prakash, M. D., Cox, M., Wilson, K., Boer, J. C., Cauchi, J. A., & Plebanski, M. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2018.03109 · Cited by 54
Metadata
- Authors
- Wang, H., Peng, R., Wang, J., Qin, Z., & Xue, L.
- Venue
- Clinical Epigenetics
- Published
- 2018-04-23
- Volume
- 10
- Issue
- 1
- Pages
- 59-59
- ISSN
- 1868-7075 (ISSN-L)
- 1868-7083
- OpenAlex
- W2804641693
- Cited by
- 527
- References
- 91
- FWCI
- 16.87
- Type
- journal article
- Language
- en
- Open access
- gold
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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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