The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Breast cancer signatures for invasiveness and prognosis defined by deep sequencing of microRNA
Open accessAbstract
The transition from ductal carcinoma in situ to invasive ductal carcinoma is a key event in breast cancer progression that is still not well understood. To discover the microRNAs regulating this critical transition, we used 80 biopsies from invasive ductal carcinoma, 8 from ductal carcinoma in situ, and 6 from normal breast. We selected them from a recently published deep-sequencing dataset [Farazi TA, et al. (2011)Cancer Res 71:4443–4453]. The microRNA profile established for the normal breast to ductal carcinoma in situ transition was largely maintained in the in situ to invasive ductal carcinoma transition. Nevertheless, a nine-microRNA signature was identified that differentiated invasive from in situ carcinoma. Specifically, let-7d, miR-210, and -221 were down-regulated in the in situ and up-regulated in the invasive transition, thus featuring an expression reversal along the cancer progression path. Additionally, we identified microRNAs for overall survival and time to metastasis. Five noncoding genes were associated with both prognostic signatures—miR-210, -21, -106b*, -197, and let-7i, with miR-210 the only one also involved in the invasive transition. To pinpoint critical cellular functions affected in the invasive transition, we identified the protein coding genes with inversely related profiles to miR-210: BRCA1, FANCD, FANCF, PARP1, E-cadherin, and Rb1 were all activated in the in situ and down-regulated in the invasive carcinoma. Additionally, we detected differential splicing isoforms with special features, including a truncated EGFR lacking the kinase domain and overexpressed only in ductal carcinoma in situ.
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Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
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MicroRNA Gene Expression Deregulation in Human Breast Cancer
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Self-citationA Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
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Self-citationOncomiR 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
Cited by
Reddy, K. B. (2015) · Cancer Cell International · doi:10.1186/s12935-015-0185-1 · Cited by 613
Interplay between miRNAs and human diseases
Paul, P., Chakraborty, A., Sarkar, D., Langthasa, M., Rahman, M., Bari, M., Singha, R. S., Malakar, A. K., & Chakraborty, S. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.25854 · Cited by 420
MicroRNAs in Common Human Diseases
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Di Leva, G., & Croce, C. M. (2013) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2013.01.004 · Cited by 356
Self-citationNext-generation sequencing in the clinic: Promises and challenges
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Metadata
- Authors
- Volinia, S., Galasso, M., Sana, M. E., Wise, T. F., Palatini, J., Huebner, K., & Croce, C. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-02-06
- Volume
- 109
- Issue
- 8
- Pages
- 3024-3029
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1981052185
- Cited by
- 359
- References
- 7
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- green
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