The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
miR-21 in the Extracellular Vesicles (EVs) of Cerebrospinal Fluid (CSF): A Platform for Glioblastoma Biomarker Development
Open accessAbstract
Glioblastoma cells secrete extra-cellular vesicles (EVs) containing microRNAs (miRNAs). Analysis of these EV miRNAs in the bio-fluids of afflicted patients represents a potential platform for biomarker development. However, the analytic algorithm for quantitative assessment of EV miRNA remains under-developed. Here, we demonstrate that the reference transcripts commonly used for quantitative PCR (including GAPDH, 18S rRNA, and hsa-miR-103) were unreliable for assessing EV miRNA. In this context, we quantitated EV miRNA in absolute terms and normalized this value to the input EV number. Using this method, we examined the abundance of miR-21, a highly over-expressed miRNA in glioblastomas, in EVs. In a panel of glioblastoma cell lines, the cellular levels of miR-21 correlated with EV miR-21 levels (p<0.05), suggesting that glioblastoma cells actively secrete EVs containing miR-21. Consistent with this hypothesis, the CSF EV miR-21 levels of glioblastoma patients (n=13) were, on average, ten-fold higher than levels in EVs isolated from the CSF of non-oncologic patients (n=13, p<0.001). Notably, none of the glioblastoma CSF harbored EV miR-21 level below 0.25 copies per EV in this cohort. Using this cut-off value, we were able to prospectively distinguish CSF derived from glioblastoma and non-oncologic patients in an independent cohort of twenty-nine patients (Sensitivity=87%; Specificity=93%; AUC=0.91, p<0.01). Our results suggest that CSF EV miRNA analysis of miR-21 may serve as a platform for glioblastoma biomarker development.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Pregnancy-Associated Exosomes and Their Modulation of T Cell Signaling
Taylor, D. D., Akyol, S., & Gercel-Taylor, C. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.176.3.1534 · Cited by 297
RetractedAnalysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
B lymphocytes secrete antigen-presenting vesicles.
Raposo, G., Nijman, H. W., Stoorvogel, W., Liejendekker, R., Harding, C. V., Melief, C. J., & Geuze, H. J. (1996) · The Journal of experimental medicine · doi:10.1084/jem.183.3.1161 · Cited by 3,546
Filipe, V., Hawe, A., & Jiskoot, W. (2010) · Pharmaceutical Research · doi:10.1007/s11095-010-0073-2 · Cited by 1,885
Akers, J. C., Gonda, D., Kim, R., Carter, B. S., & Chen, C. C. (2013) · Journal of Neuro-Oncology · doi:10.1007/s11060-013-1084-8 · Cited by 1,423 · cited 1×
“EVs isolated from biofluids can encompass exosomes, microvesicles, retrovirus-like particles (RLPs) and apoptotic bodies [66,67].”
BackgroundSelf-citationStudent (1908) · Biometrika · doi:10.1093/biomet/6.1.1 · Cited by 1,363
Cited by
Exosomes in cancer development, metastasis, and immunity
Zhang, L., & Yu, D. (2019) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2019.04.004 · Cited by 870
MicroRNAome genome: A treasure for cancer diagnosis and therapy
Berindan‐Neagoe, I., Monroig, P. D. C., Pasculli, B., & Calin, G. A. (2014) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21244 · Cited by 522
Exosomal noncoding RNAs in Glioma: biological functions and potential clinical applications
Cheng, J., Meng, J., Zhu, L., & Peng, Y. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01189-3 · Cited by 319
Shi, R., Wang, P.-Y., Li, X.-Y., Chen, J.-X., Li, Y., Zhang, X.-Z., Zhang, C.-G., Jiang, T., Li, W.-B., Ding, W., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.4699 · Cited by 285
Glioblastoma: exosome and microRNA as novel diagnosis biomarkers
Saadatpour, L., Fadaee, E., Fadaei, S., Nassiri Mansour, R., Mohammadi, M., Mousavi, S. M., Goodarzi, M., Verdi, J., & Mirzaei, H. (2016) · Cancer Gene Therapy · doi:10.1038/cgt.2016.48 · Cited by 244
Metadata
- Authors
- Akers, J. C., Ramakrishnan, V., Kim, R., Skog, J., Nakano, I., Pingle, S., Kalinina, J., Hua, W., Kesari, S., Mao, Y., Breakefield, X. O., Hochberg, F. H., Van Meir, E. G., Carter, B. S., & Chen, C. C.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-10-21
- Volume
- 8
- Issue
- 10
- Pages
- e78115
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2150309717
- Cited by
- 337
- References
- 14
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: miR-21 in the Extracellular Vesicles (EVs) of Cerebrospinal Fluid (CSF): A Platform for Glioblastoma Biomarker Development. https://app.cochat.ai/papers/10.1371/journal.pone.0078115
- The paper
- Akers, J. C., Ramakrishnan, V., Kim, R., Skog, J., Nakano, I., Pingle, S., Kalinina, J., Hua, W., Kesari, S., Mao, Y., Breakefield, X. O., Hochberg, F. H., Van Meir, E. G., Carter, B. S., & Chen, C. C. (2013). miR-21 in the Extracellular Vesicles (EVs) of Cerebrospinal Fluid (CSF): A Platform for Glioblastoma Biomarker Development. PLoS ONE. https://doi.org/10.1371/journal.pone.0078115
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.