The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
microRNAs in cancer management
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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
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010
Si, M.-L., Zhu, S., Wu, H., Lu, Z., Wu, F., & Mo, Y.-Y. (2007) · Oncogene · doi:10.1038/sj.onc.1210083 · Cited by 1,600
Circulating microRNAs, potential biomarkers for drug-induced liver injury
Wang, K., Zhang, S., Marzolf, B., Troisch, P., Brightman, A., Hu, Z., Hood, L. E., & Galas, D. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813371106 · Cited by 1,149
OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma
Medina, P. P., Nolde, M., & Slack, F. J. (2010) · Nature · doi:10.1038/nature09284 · Cited by 971
MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators
Gabriely, G., Wurdinger, T., Kesari, S., Esau, C. C., Burchard, J., Linsley, P. S., & Krichevsky, A. M. (2008) · Molecular and Cellular Biology · doi:10.1128/mcb.00479-08 · Cited by 888
LNA (Locked Nucleic Acid): High-Affinity Targeting of Complementary RNA and DNA
Vester, B., & Wengel, J. (2004) · Biochemistry · doi:10.1021/bi0485732 · Cited by 727
A Pilot Study of Circulating miRNAs as Potential Biomarkers of Early Stage Breast Cancer
Zhao, H., Shen, J., Medico, L., Wang, D., Ambrosone, C. B., & Liu, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013735 · Cited by 398
Cited by
Engineering Exosomes for Cancer Therapy
Gilligan, K., & Dwyer, R. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18061122 · Cited by 266
Versatile RNA Interference Nanoplatform for Systemic Delivery of RNAs
Choi, K. Y., Silvestre, O. F., Huang, X., Min, K. H., Howard, G. P., Hida, N., Jin, A. J., Carvajal, N., Lee, S. W., Hong, J.-I., et al. (2014) · ACS Nano · doi:10.1021/nn500085k · Cited by 104
MicroRNA in Alzheimer’s disease: an exploratory study in brain, cerebrospinal fluid and plasma
Bekris, L. M., Lutz, F., Montine, T. J., Yu, C. E., Tsuang, D., Peskind, E. R., & Leverenz, J. B. (2013) · Biomarkers · doi:10.3109/1354750x.2013.814073 · Cited by 97
Microbiota impact on the epigenetic regulation of colorectal cancer
Yang, T., Owen, J. L., Lightfoot, Y. L., Kladde, M. P., & Mohamadzadeh, M. (2013) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2013.08.005 · Cited by 90
A novel serum microRNA signature to screen esophageal squamous cell carcinoma
Huang, Z., Zhang, L., Zhu, D., Shan, X., Zhou, X., Qi, L., Wu, L., Zhu, J., Cheng, W., Zhang, H., et al. (2017) · Cancer Medicine · doi:10.1002/cam4.973 · Cited by 74
“MicroRNAs (miRNAs) are small (21–23 nucleotides) and highly conserved noncoding RNAs that negatively regulate gene expression post- transcriptionally by binding the 3′- untranslated region of target mRNAs, resulting in either mRNA degradation or translational repression [6].”
BackgroundNanodelivery Systems for Nucleic Acid Therapeutics in Drug Resistant Tumors
Iyer, A. K., Duan, Z., & Amiji, M. M. (2014) · Molecular Pharmaceutics · doi:10.1021/mp500024p · Cited by 55
Thinking small: towards microRNA-based therapeutics for anxiety disorders
Scott, K. A., Hoban, A. E., Clarke, G., Moloney, G. M., Dinan, T. G., & Cryan, J. F. (2015) · Expert Opinion on Investigational Drugs · doi:10.1517/13543784.2014.997873 · Cited by 52
Shen, X., Guo, Y., Yu, J., Qi, J., Shi, W., Wu, X., Ni, H., & Ju, S. (2016) · Clinical and Experimental Medicine · doi:10.1007/s10238-015-0355-4 · Cited by 37
Sheng-Fowler, L., Tu, W., Fu, H., Murata, H., Lanning, L., Foseh, G., Macauley, J., Blair, D., Hughes, S. H., Coffin, J. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108926 · Cited by 7
Metadata
- Authors
- Kong, Y. W., Ferland-McCollough, D., Jackson, T. J., & Bushell, M.
- Venue
- The Lancet Oncology
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 13
- Issue
- 6
- Pages
- e249-e258
- ISSN
- 1470-2045 (ISSN-L)
- OpenAlex
- W2032923154
- Cited by
- 734
- References
- 9
- FWCI
- 23.85
- Type
- journal article
- Language
- en
- Open access
- closed
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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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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.
