The DOI matches its Crossref record; 210 of the 210 references it cites were found in a registry or an index.
Long Noncoding RNAs as Biomarkers in Cancer
Open accessAbstract
Long noncoding RNAs (lncRNAs) are a relatively well-characterized class of noncoding RNA (ncRNA) molecules, involved in the regulation of various cell processes, including transcription, intracellular trafficking, and chromosome remodeling. Their deregulation has been associated with the development and progression of various cancer types, the fact which makes them suitable as biomarkers for cancer diagnosis and prognosis. In recent years, detection of cancer-associated lncRNAs in body fluids of cancer patients has proven itself as an especially valuable method to effectively diagnose cancer. Cancer diagnosis and prognosis employing circulating lncRNAs are preferential when compared to classical biopsies of tumor tissues, especially due to their noninvasiveness, and have great potential for routine usage in clinical practice. Thus, this review focuses on summarizing the perspectives of lncRNAs as biomarkers in cancer, based on evaluating their expression profiles determined in body fluids of cancer patients.
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4 retracted
Ji, Q., Liu, X., Fu, X., Zhang, L., Sui, H., Zhou, L., Sun, J., Cai, J., Qin, J., Ren, J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078700 · Cited by 354
RetractedGas5 Exerts Tumor-suppressive Functions in Human Glioma Cells by Targeting miR-222
Zhao, X., Wang, P., Liu, J., Zheng, J., Liu, Y., Chen, J., & Xue, Y. (2015) · Molecular Therapy · doi:10.1038/mt.2015.170 · Cited by 181
RetractedPeng, W., Gao, W., & Feng, J. (2014) · Medical Oncology · doi:10.1007/s12032-014-0346-4 · Cited by 144
RetractedLu, X., Zhou, C., Li, R., Liang, Z., Zhai, W., Zhao, L., & Zhang, S. (2016) · Tumor Biology · doi:10.1007/s13277-016-4858-8 · Cited by 55
RetractedLong non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
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
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
Li, J.-H., Liu, S., Zhou, H., Qu, L.-H., & Yang, J.-H. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1248 · Cited by 4,686
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
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
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Recent advances in gastric cancer early diagnosis
Necula, L., Matei, L., Dragu, D., Neagu, A. I., Mambet, C., Nedeianu, S., Bleotu, C., Diaconu, C. C., & Chivu-Economescu, M. (2019) · World Journal of Gastroenterology · doi:10.3748/wjg.v25.i17.2029 · Cited by 435
Rynkeviciene, R., Simiene, J., Strainiene, E., Stankevicius, V., Usinskiene, J., Miseikyte Kaubriene, E., Meskinyte, I., Cicenas, J., & Suziedelis, K. (2018) · Cancers · doi:10.3390/cancers11010017 · Cited by 136
Identifying common transcriptome signatures of cancer by interpreting deep learning models
Jha, A., Quesnel-Vallières, M., Wang, D., Thomas-Tikhonenko, A., Lynch, K. W., & Barash, Y. (2022) · Genome Biology · doi:10.1186/s13059-022-02681-3 · Cited by 39
Ismail, N. H., Mussa, A., Al-Khreisat, M. J., Mohamed Yusoff, S., Husin, A., Al-Jamal, H. A. N., Johan, M. F., & Islam, M. A. (2023) · Non-Coding RNA · doi:10.3390/ncrna9060068 · Cited by 29
Metadata
- Authors
- Bolha, L., Ravnik-Glavač, M., & Glavač, D.
- Venue
- Disease Markers
- Publisher
- Wiley
- Published
- 2017
- Volume
- 2017
- Pages
- 1-14
- ISSN
- 0278-0240 (ISSN-L)
- 1875-8630
- OpenAlex
- W2620140547
- Cited by
- 365
- References
- 210
- FWCI
- 14.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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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