The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Tumour-initiating cell-specific miR-1246 and miR-1290 expression converge to promote non-small cell lung cancer progression
Open accessAbstract
The tumour-initiating cell (TIC) model accounts for phenotypic and functional heterogeneity among tumour cells. MicroRNAs (miRNAs) are regulatory molecules frequently aberrantly expressed in cancers, and may contribute towards tumour heterogeneity and TIC behaviour. More recent efforts have focused on miRNAs as diagnostic or therapeutic targets. Here, we identified the TIC-specific miRNAs, miR-1246 and miR-1290, as crucial drivers for tumour initiation and cancer progression in human non-small cell lung cancer. The loss of either miRNA impacted the tumour-initiating potential of TICs and their ability to metastasize. Longitudinal analyses of serum miR-1246 and miR-1290 levels across time correlate their circulating levels to the clinical response of lung cancer patients who were receiving ongoing anti-neoplastic therapies. Functionally, direct inhibition of either miRNA with locked nucleic acid administered systemically, can arrest the growth of established patient-derived xenograft tumours, thus indicating that these miRNAs are clinically useful as biomarkers for tracking disease progression and as therapeutic targets.
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Cites
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Cited by
Mutant p53 cancers reprogram macrophages to tumor supporting macrophages via exosomal miR-1246
Cooks, T., Pateras, I. S., Jenkins, L. M., Patel, K. M., Robles, A. I., Morris, J., Forshew, T., Appella, E., Gorgoulis, V. G., & Harris, C. C. (2018) · Nature Communications · doi:10.1038/s41467-018-03224-w · Cited by 482
Cell-to-cell communication: microRNAs as hormones.
Bayraktar, R., Van Roosbroeck, K., & Calin, G. A. (2017) · Molecular Oncology · doi:10.1002/1878-0261.12144 · Cited by 361
Lung cancer epigenetics: From knowledge to applications
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Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients
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Metadata
- Authors
- Zhang, W. C., Chin, T. M., Yang, H., Nga, M. E., Lunny, D. P., Lim, E. K. H., Sun, L. L., Pang, Y. H., Leow, Y. N., Malusay, S. R. Y., Lim, P. X. H., Lee, J. Z., Tan, B. J. W., Shyh-Chang, N., Lim, E. H., Lim, W. T., Tan, D. S. W., Tan, E. H., Tai, B. C., Soo, R. A., Tam, W. L., & Lim, B.
- Venue
- Nature Communications
- Published
- 2016-06-21
- Volume
- 7
- Issue
- 1
- Pages
- 11702-11702
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2468879907
- Cited by
- 202
- References
- 7
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
