The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Long noncoding RNAs: a potential novel class of cancer biomarkers
Open accessAbstract
Long noncoding RNAs (lncRNAs) are a novel class of RNA molecules defined as transcripts longer than 200 nucleotides that lack protein coding potential. They constitute a major, but still poorly characterized part of human transcriptome, however, evidence is growing that they are important regulatory molecules involved in various cellular processes. It is becoming increasingly clear that many lncRNAs are deregulated in cancer and some of them can be important drivers of malignant transformation. On the one hand, some lncRNAs can have highly specific expression in particular types of cancer making them a promising tool for diagnosis. The expression of other lncRNAs can correlate with different pathophysiological features of tumor growth and with patient survival, thus making them convenient biomarkers for prognosis. In this review we outline the current state of knowledge about the fast growing field of application of lncRNAs as tumor biomarkers.
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Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis
Gupta, R. A., Shah, N., Wang, K. C., Kim, J., Horlings, H. M., Wong, D. J., Tsai, M.-C., Hung, T., Argani, P., Rinn, J. L., et al. (2010) · Nature · doi:10.1038/nature08975 · Cited by 5,218
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Derrien, T., Johnson, R., Bussotti, G., Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,061
Functional Demarcation of Active and Silent Chromatin Domains in Human HOX Loci by Noncoding RNAs
Rinn, J. L., Kertesz, M., Wang, J. K., Squazzo, S. L., Xu, X., Brugmann, S. A., Goodnough, L. H., Helms, J. A., Farnham, P. J., Segal, E., et al. (2007) · Cell · doi:10.1016/j.cell.2007.05.022 · Cited by 4,244
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
The Transcriptional Landscape of the Mammalian Genome
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C., et al. (2005) · Science · doi:10.1126/science.1112014 · Cited by 3,499
Self-citationCell-free nucleic acids as biomarkers in cancer patients
Schwarzenbach, H., Hoon, D. S. B., & Pantel, K. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3066 · Cited by 2,891
Cited by
Non-coding RNA networks in cancer
Anastasiadou, E., Jacob, L. S., & Slack, F. J. (2018) · Nature Reviews Cancer · doi:10.1038/nrc.2017.99 · Cited by 1,884
Sun, M., Nie, F., Wang, Y., Zhang, Z., Hou, J., He, D., Xie, M., Xu, L., De, W., Wang, Z., et al. (2016) · Cancer Research · doi:10.1158/0008-5472.can-16-0356 · Cited by 469
Sources and Functions of Extracellular Small RNAs in Human Circulation
Fritz, J. V., Heintz-Buschart, A., Ghosal, A., Wampach, L., Etheridge, A., Galas, D., & Wilmes, P. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071715-050711 · Cited by 121
Katayama, H., Tamai, K., Shibuya, R., Nakamura, M., Mochizuki, M., Yamaguchi, K., Kawamura, S., Tochigi, T., Sato, I., Okanishi, T., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-12191-z · Cited by 37
Metadata
- Authors
- Yarmishyn, A. A., & Kurochkin, I. V.
- Venue
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Published
- 2015-04-23
- Volume
- 6
- Pages
- 145-145
- ISSN
- 1664-8021 (ISSN-L)
- OpenAlex
- W2004815615
- Cited by
- 273
- References
- 114
- FWCI
- 12.37
- 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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