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Non coding RNA molecules as potential biomarkers in breast cancer

Kim De Leeneer (UGent) and Kathleen Claes (UGent)
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Abstract
The pursuit of minimally invasive biomarkers is a challenging but exciting area of research. Clearly, such markers would need to be sensitive and specific enough to aid in the detection of breast cancer at an early stage, would monitor progression of the disease, and could predict the individual patient's response to treatment. Unfortunately, to date, markers with such characteristics have not made it to the clinic for breast cancer. Past years, many studies indicated that the non-coding part of our genome (the so called 'junk' DNA), may be an ideal source for these biomarkers. In this chapter, the potential use of microRNAs and long non-coding RNAs as biomarkers will be discussed.
Keywords
NONCODING RNAS, MIR-200 FAMILY, MICRORNA TARGET PREDICTIONS, MiRNAS and breast cancer, miR-9, miR451, miR-335, miR-31, miR-29, miR-21, miR-21, miR-200 family, miR-195, miR-16, miR-145, miR-10b, microRNA, Long non coding RNA, let-7 miRNA, Her2neu/ERBB2, BC200, Circulating miRNAs, CELL-LINES, C-ELEGANS, MICROPROCESSOR COMPLEX, CAENORHABDITIS-ELEGANS, TUMOR-METASTASIS, GENE-REGULATION, DOWN-REGULATION

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Citation

Please use this url to cite or link to this publication:

MLA
De Leeneer, Kim, and Kathleen Claes. “Non Coding RNA Molecules as Potential Biomarkers in Breast Cancer.” Ed. R Scatena. Advances in Experimental Medicine and Biology 867 (2015): 263–275. Print.
APA
De Leeneer, K., & Claes, K. (2015). Non coding RNA molecules as potential biomarkers in breast cancer. (R. Scatena, Ed.)Advances in Experimental Medicine and Biology, 867, 263–275.
Chicago author-date
De Leeneer, Kim, and Kathleen Claes. 2015. “Non Coding RNA Molecules as Potential Biomarkers in Breast Cancer.” Ed. R Scatena. Advances in Experimental Medicine and Biology 867: 263–275.
Chicago author-date (all authors)
De Leeneer, Kim, and Kathleen Claes. 2015. “Non Coding RNA Molecules as Potential Biomarkers in Breast Cancer.” Ed. R Scatena. Advances in Experimental Medicine and Biology 867: 263–275.
Vancouver
1.
De Leeneer K, Claes K. Non coding RNA molecules as potential biomarkers in breast cancer. Scatena R, editor. Advances in Experimental Medicine and Biology. Dordrecht, The Netherlands: Springer; 2015;867:263–75.
IEEE
[1]
K. De Leeneer and K. Claes, “Non coding RNA molecules as potential biomarkers in breast cancer,” Advances in Experimental Medicine and Biology, vol. 867, pp. 263–275, 2015.
@article{7900090,
  abstract     = {The pursuit of minimally invasive biomarkers is a challenging but exciting area of research. Clearly, such markers would need to be sensitive and specific enough to aid in the detection of breast cancer at an early stage, would monitor progression of the disease, and could predict the individual patient's response to treatment. Unfortunately, to date, markers with such characteristics have not made it to the clinic for breast cancer. Past years, many studies indicated that the non-coding part of our genome (the so called 'junk' DNA), may be an ideal source for these biomarkers. In this chapter, the potential use of microRNAs and long non-coding RNAs as biomarkers will be discussed.},
  author       = {De Leeneer, Kim and Claes, Kathleen},
  editor       = {Scatena, R},
  isbn         = {9789401772143},
  issn         = {0065-2598},
  journal      = {Advances in Experimental Medicine and Biology},
  keywords     = {NONCODING RNAS,MIR-200 FAMILY,MICRORNA TARGET PREDICTIONS,MiRNAS and breast cancer,miR-9,miR451,miR-335,miR-31,miR-29,miR-21,miR-21,miR-200 family,miR-195,miR-16,miR-145,miR-10b,microRNA,Long non coding RNA,let-7 miRNA,Her2neu/ERBB2,BC200,Circulating miRNAs,CELL-LINES,C-ELEGANS,MICROPROCESSOR COMPLEX,CAENORHABDITIS-ELEGANS,TUMOR-METASTASIS,GENE-REGULATION,DOWN-REGULATION},
  language     = {eng},
  pages        = {263--275},
  publisher    = {Springer},
  title        = {Non coding RNA molecules as potential biomarkers in breast cancer},
  url          = {http://dx.doi.org/10.1007/978-94-017-7215-0_16},
  volume       = {867},
  year         = {2015},
}

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