The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Plasma extracellular RNA profiles in healthy and cancer patients
Open accessAbstract
Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ~12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ~5.4 million including miRNAs (~40.4%), piwiRNAs (~40.0%), pseudo-genes (~3.7%), lncRNAs (~2.4%), tRNAs (~2.1%) and mRNAs (~2.1%). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate <0.05). We developed multivariate statistical models to predict cancer status with an area under the curve from 0.68 to 0.92 depending cancer type and staging. This is the largest RNA-seq study to date for profiling exRNA species, which has not only provided a baseline reference profile for circulating exRNA, but also revealed a set of RNA candidates for reference controls and disease biomarkers.
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Keller, L., & Pantel, K. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0180-2 · Cited by 544
Murillo, O. D., Thistlethwaite, W., Rozowsky, J., Subramanian, S. L., Lucero, R., Shah, N., Jackson, A. R., Srinivasan, S., Chung, A., Laurent, C. D., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.018 · Cited by 298
Self-citationEmerging concepts in liquid biopsies
Perakis, S., & Speicher, M. R. (2017) · BMC Medicine · doi:10.1186/s12916-017-0840-6 · Cited by 282
Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling
Giraldez, M. D., Spengler, R. M., Etheridge, A., Godoy, P. M., Barczak, A. J., Srinivasan, S., De Hoff, P. L., Tanriverdi, K., Courtright, A., Lu, S., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4183 · Cited by 177
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Metadata
- Authors
- Yuan, T., Huang, X., Woodcock, M., Du, M., Dittmar, R., Wang, Y., Tsai, S., Kohli, M., Boardman, L., Patel, T., & Wang, L.
- Venue
- Scientific Reports
- Published
- 2016-01-20
- Volume
- 6
- Issue
- 1
- Pages
- 19413-19413
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2251552368
- Cited by
- 286
- References
- 48
- FWCI
- 14.75
- Type
- journal article
- Language
- en
- Open access
- gold
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