The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Circulating miRNAs are correlated with tumor progression in prostate cancer
Open accessAbstract
Circulating miRNAs have recently been indicated as practicable and promising biomarkers for noninvasive diagnosis in various tumor entities. However, cell‐free miRNAs have not been found to correlate with clinicopathological variables in epithelial carcinomas. To learn more about the potential clinical relevance of circulating miRNAs in prostate cancer, we screened 667 miRNAs in serum samples from patients with metastatic (n= 7) and localized prostate cancer (n= 14). Various miRNAs were highly abundant in the sera of patients with metastatic disease, and five upregulated miRNAs (miRNA‐375, miRNA‐9*, miRNA‐141, miRNA‐200b and miRNA‐516a‐3p) were selected for further validation. In the first validation study (n= 45), selected miRNAs were analyzed in a prospectively collected serum set taken from different prostate cancer risk groups. Most of the selected miRNAs were significantly correlated with adverse risk factors when different clinicopathological variables were analyzed. Circulating miRNA‐375 and miRNA‐141 turned out to be the most pronounced markers for high‐risk tumors. Their levels also correlated with high Gleason score or lymph‐node positive status in a second independent validation study (n= 71). In addition, the expression levels of miRNA‐375 and miRNA‐141 were monitored in 72 prostate tissue samples (36 tumor vs. 36 benign). Both miRNAs were highly expressed in all samples and significantly upregulated in the tumors compared to normal tissues. Overall, our observations suggest that miRNA‐375 and miRNA‐141 expression is enhanced in prostate cancer specimens and their release into the blood is further associated with advanced cancer disease.
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
A pancreatic islet-specific microRNA regulates insulin secretion
Poy, M. N., Eliasson, L., Krutzfeldt, J., Kuwajima, S., Ma, X., MacDonald, P. E., Pfeffer, S., Tuschl, T., Rajewsky, N., Rorsman, P., et al. (2004) · Nature · doi:10.1038/nature03076 · Cited by 2,102
Circulating microRNAs, potential biomarkers for drug-induced liver injury
Wang, K., Zhang, S., Marzolf, B., Troisch, P., Brightman, A., Hu, Z., Hood, L. E., & Galas, D. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813371106 · Cited by 1,149
miR-375 maintains normal pancreatic α- and β-cell mass
Poy, M. N., Hausser, J., Trajkovski, M., Braun, M., Collins, S., Rorsman, P., Zavolan, M., & Stoffel, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810550106 · Cited by 740
Cited by
Clinical relevance of circulating cell-free microRNAs in cancer
Schwarzenbach, H., Nishida, N., Calin, G. A., & Pantel, K. (2014) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2014.5 · Cited by 969
Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies
Pritchard, C. C., Kroh, E., Wood, B., Arroyo, J. D., Dougherty, K. J., Miyaji, M. M., Tait, J. F., & Tewari, M. (2012) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-11-0370 · Cited by 879
Grange, C., Tapparo, M., Collino, F., Vitillo, L., Damasco, C., Deregibus, M. C., Tetta, C., Bussolati, B., & Camussi, G. (2011) · Cancer Research · doi:10.1158/0008-5472.can-11-0241 · Cited by 851
MicroRNA in Prostate, Bladder, and Kidney Cancer: A Systematic Review
Catto, J. W. F., Alcaraz, A., Bjartell, A. S., De Vere White, R., Evans, C. P., Fussel, S., Hamdy, F. C., Kallioniemi, O., Mengual, L., Schlomm, T., et al. (2011) · European Urology · doi:10.1016/j.eururo.2011.01.044 · Cited by 469
Self-citationHumphries, B., & Yang, C. (2015) · Oncotarget · doi:10.18632/oncotarget.3052 · Cited by 346
Metadata
- Authors
- Brase, J. C., Johannes, M., Schlomm, T., Fälth, M., Haese, A., Steuber, T., Beissbarth, T., Kuner, R., & Sültmann, H.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2010-11-27
- Volume
- 128
- Issue
- 3
- Pages
- 608-616
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W2022667041
- Cited by
- 587
- References
- 8
- FWCI
- 13.19
- Type
- journal article
- Language
- en
- Open access
- green
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: Circulating miRNAs are correlated with tumor progression in prostate cancer. https://app.cochat.ai/papers/10.1002/ijc.25376
- The paper
- Brase, J. C., Johannes, M., Schlomm, T., Fälth, M., Haese, A., Steuber, T., Beissbarth, T., Kuner, R., & Sültmann, H. (2011). Circulating miRNAs are correlated with tumor progression in prostate cancer. International Journal of Cancer. https://doi.org/10.1002/ijc.25376
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.