The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Identification of microRNAs in the cerebrospinal fluid as marker for primary diffuse large B-cell lymphoma of the central nervous system
Abstract
The diagnosis of primary central nervous system lymphoma (PCNSL) depends on histopathology of brain biopsies, because disease markers in the cerebrospinal fluid (CSF) with sufficient diagnostic accuracy are not available yet. MicroRNAs (miRNAs) are regulatory RNA molecules that are deregulated in many disease types, including cancer. Recently, miRNAs have shown promise as markers for cancer diagnosis. In this study, we demonstrate that miRNAs are present in the CSF of patients with PCNSL. With a candidate approach and miRNA quantification by reverse transcription polymerase chain reaction, miRNAs with significant levels in the CSF of patients with PCNSL were identified. MiR-21, miR-19, and miR-92a levels in CSF collected from patients with PCNSL and from controls with inflammatory CNS disorders and other neurologic disorders indicated a significant diagnostic value of this method. Receiver-operating characteristic analyses showed area under the curves of 0.94, 0.98, and 0.97, respectively, for miR-21, miR-19, and miR-92a CSF levels in discriminating PCNSL from controls. More importantly, combined miRNA analyses resulted in an increased diagnostic accuracy with 95.7% sensitivity and 96.7% specificity. We also demonstrated a remarkable stability of miRNAs in the CSF. In conclusion, CSF miRNAs are potentially useful tools as novel noninvasive biomarker for the diagnosis of PCNSL.
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
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
Causes and consequences of microRNA dysregulation in cancer
Croce, C. M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2634 · Cited by 2,998
Lawrie, C. H., Gal, S., Dunlop, H. M., Pushkaran, B., Liggins, A. P., Pulford, K., Banham, A. H., Pezzella, F., Boultwood, J., Wainscoat, J. S., et al. (2008) · British Journal of Haematology · doi:10.1111/j.1365-2141.2008.07077.x · Cited by 1,735
Circulating microRNA in body fluid: a new potential biomarker for cancer diagnosis and prognosis
Kosaka, N., Iguchi, H., & Ochiya, T. (2010) · Cancer Science · doi:10.1111/j.1349-7006.2010.01650.x · Cited by 1,147
Cogswell, J. P., Ward, J., Taylor, I. A., Waters, M., Shi, Y., Cannon, B., Kelnar, K., Kemppainen, J., Brown, D., Chen, C., et al. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-14103 · Cited by 943
Abrey, L. E., Batchelor, T. T., Ferreri, A. J. M., Gospodarowicz, M., Pulczynski, E. J., Zucca, E., Smith, J. R., Korfel, A., Soussain, C., DeAngelis, L. M., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.13.524 · Cited by 914
Hu, Z., Chen, X., Zhao, Y., Tian, T., Jin, G., Shu, Y., Chen, Y., Xu, L., Zen, K., Zhang, C., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.24.9342 · Cited by 798
Szafranska, A. E., Davison, T. S., John, J., Cannon, T., Sipos, B., Maghnouj, A., Labourier, E., & Hahn, S. A. (2007) · Oncogene · doi:10.1038/sj.onc.1210228 · Cited by 664
Self-citationPrimary intracerebral malignant lymphoma: report of 248 cases
Bataille, B., Delwail, V., Menet, E., Vandermarcq, P., Ingrand, P., Wager, M., Guy, G., & Lapierre, F. (2000) · Journal of Neurosurgery · doi:10.3171/jns.2000.92.2.0261 · Cited by 591
Cited by
Integrating liquid biopsies into the management of cancer
Siravegna, G., Marsoni, S., Siena, S., & Bardelli, A. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.14 · Cited by 1,908
An unconventional role for miRNA: let-7 activates toll-like receptor 7 and causes neurodegeneration
Lehmann, S. M., Krüger, C., Park, B., Derkow, K., Rosenberger, K., Baumgart, J., Trimbuch, T., Eom, G., Hinz, M., Kaul, D., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3113 · Cited by 786
Regulation and function of miRNA-21 in health and disease
Kumarswamy, R., Volkmann, I., & Thum, T. (2011) · RNA Biology · doi:10.4161/rna.8.5.16154 · Cited by 607
MicroRNAs in Plasma and Cerebrospinal Fluid as Potential Markers for Alzheimer's Disease
Kiko, T., Nakagawa, K., Tsuduki, T., Furukawa, K., Arai, H., & Miyazawa, T. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-130932 · Cited by 256
Müller, M., Kuiperij, H. B., Claassen, J. A., Küsters, B., & Verbeek, M. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.07.005 · Cited by 205
Metadata
- Authors
- Baraniskin, A., Kuhnhenn, J., Schlegel, U., Chan, A., Deckert, M., Gold, R., Maghnouj, A., Zöllner, H., Reinacher-Schick, A., Schmiegel, W., Hahn, S. A., & Schroers, R.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2011-03-17
- Volume
- 117
- Issue
- 11
- Pages
- 3140-3146
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2050667838
- Cited by
- 305
- References
- 21
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- closed
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: Identification of microRNAs in the cerebrospinal fluid as marker for primary diffuse large B-cell lymphoma of the central nervous system. https://app.cochat.ai/papers/10.1182/blood-2010-09-308684
- The paper
- Baraniskin, A., Kuhnhenn, J., Schlegel, U., Chan, A., Deckert, M., Gold, R., Maghnouj, A., Zöllner, H., Reinacher-Schick, A., Schmiegel, W., Hahn, S. A., & Schroers, R. (2011). Identification of microRNAs in the cerebrospinal fluid as marker for primary diffuse large B-cell lymphoma of the central nervous system. Blood. https://doi.org/10.1182/blood-2010-09-308684
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.