The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Proteomic analysis of urinary extracellular vesicles from high Gleason score prostate cancer
Open accessAbstract
Extracellular vesicles (EVs) are microvesicles secreted from various cell types. We aimed to discover a new biomarker for high Gleason score (GS) prostate cancer (PCa) in urinary EVs via quantitative proteomics. EVs were isolated from urine after massage from 18 men (negative biopsy [n = 6], GS 6 PCa [n = 6], or GS 8–9 PCa [n = 6]). EV proteins were labeled with iTRAQ and analyzed by LC-MS/MS. We identified 4710 proteins and quantified 3528 proteins in the urinary EVs. Eleven proteins increased in patients with PCa compared to those with negative biopsy (ratio >1.5, p-value < 0.05). Eleven proteins were chosen for further analysis and verified in 29 independent urine samples (negative [n = 11], PCa [n = 18]) using selected reaction monitoring/multiple reaction monitoring. Among these candidate markers, fatty acid binding protein 5 (FABP5) was higher in the cancer group than in the negative group (p-value = 0.009) and was significantly associated with GS (p-value for trend = 0.011). Granulin, AMBP, CHMP4A, and CHMP4C were also higher in men with high GS prostate cancer (p-value < 0.05). FABP5 in urinary EVs could be a potential biomarker of high GS PCa.
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
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Macrophage-secreted granulin supports pancreatic cancer metastasis by inducing liver fibrosis
Nielsen, S. R., Quaranta, V., Linford, A., Emeagi, P., Rainer, C., Santos, A., Ireland, L., Sakai, T., Sakai, K., Kim, Y.-S., et al. (2016) · Nature Cell Biology · doi:10.1038/ncb3340 · Cited by 441
Cited by
Erdbrügger, U., Blijdorp, C. J., Bijnsdorp, I. V., Borràs, F. E., Burger, D., Bussolati, B., Byrd, J. B., Clayton, A., Dear, J. W., Falcón‐Pérez, J. M., et al. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12093 · Cited by 404
Ramirez-Garrastacho, M., Bajo-Santos, C., Line, A., Martens-Uzunova, E. S., de la Fuente, J. M., Moros, M., Soekmadji, C., Tasken, K. A., & Llorente, A. (2022) · British Journal of Cancer · doi:10.1038/s41416-021-01610-8 · Cited by 130
Metadata
- Authors
- Fujita, K., Kume, H., Matsuzaki, K., Kawashima, A., Ujike, T., Nagahara, A., Uemura, M., Miyagawa, Y., Tomonaga, T., & Nonomura, N.
- Venue
- Scientific Reports
- Published
- 2017-02-17
- Volume
- 7
- Issue
- 1
- Pages
- 42961-42961
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2588583929
- Cited by
- 175
- References
- 2
- FWCI
- 6.11
- 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: Proteomic analysis of urinary extracellular vesicles from high Gleason score prostate cancer. https://app.cochat.ai/papers/10.1038/srep42961
- The paper
- Fujita, K., Kume, H., Matsuzaki, K., Kawashima, A., Ujike, T., Nagahara, A., Uemura, M., Miyagawa, Y., Tomonaga, T., & Nonomura, N. (2017). Proteomic analysis of urinary extracellular vesicles from high Gleason score prostate cancer. Scientific Reports. https://doi.org/10.1038/srep42961
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.