Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 208

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Proteomic Profiling of Exosomes Leads to the Identification of Novel Biomarkers for Prostate Cancer

Open access
Duijvesz, Diederick, Burnum-Johnson, Kristin E., Gritsenko, Marina A., Hoogland, A. Marije, Vredenbregt-van den Berg, Mirella S., Willemsen, Rob, Luider, Theo, Paša-Tolić, Ljiljana, Jenster, Guido·2013·PLoS ONE

Abstract

BACKGROUND: Current markers for prostate cancer, such as PSA lack specificity. Therefore, novel biomarkers are needed. Unfortunately, the complexity of body fluids often hampers biomarker discovery. An attractive alternative approach is the isolation of small vesicles, i.e. exosomes, ∼100 nm, which contain proteins that are specific to the tissue from which they are derived and therefore can be considered as treasure chests for disease-specific biomarker discovery. MATERIALS AND METHODS: Exosomes were isolated from 2 immortalized primary prostate epithelial cells (PNT2C2 and RWPE-1) and 2 PCa cell lines (PC346C and VCaP) by ultracentrifugation. After tryptic digestion, proteomic analyses utilized a nanoLC coupled with an LTQ-Orbitrap operated in tandem MS (MS/MS) mode. Accurate Mass and Time (AMT) tag approach was employed for peptide identification and quantitation. Candidate biomarkers were validated by Western blotting and Immunohistochemistry. RESULTS: Proteomic characterization resulted in the identification of 248, 233, 169, and 216 proteins by at least 2 peptides in exosomes from PNT2C2, RWPE-1, PC346C, and VCaP, respectively. Statistical analyses revealed 52 proteins differently abundant between PCa and control cells, 9 of which were more abundant in PCa. Validation by Western blotting confirmed a higher abundance of FASN, XPO1 and PDCD6IP (ALIX) in PCa exosomes. CONCLUSIONS: Identification of exosomal proteins using high performance LC-FTMS resulted in the discovery of PDCD6IP, FASN, XPO1 and ENO1 as new candidate biomarkers for prostate cancer.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0082589

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 4 references

Cited by

See all 208

Metadata

Authors
Duijvesz, D., Burnum-Johnson, K. E., Gritsenko, M. A., Hoogland, A. M., Vredenbregt-van den Berg, M. S., Willemsen, R., Luider, T., Paša-Tolić, L., & Jenster, G.
Venue
PLoS ONE
Published
2013-12-31
Volume
8
Issue
12
Pages
e82589
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2064299227
Cited by
208
References
4
FWCI
6.86
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 Profiling of Exosomes Leads to the Identification of Novel Biomarkers for Prostate Cancer. https://app.cochat.ai/papers/10.1371/journal.pone.0082589
The paper
Duijvesz, D., Burnum-Johnson, K. E., Gritsenko, M. A., Hoogland, A. M., Vredenbregt-van den Berg, M. S., Willemsen, R., Luider, T., Paša-Tolić, L., & Jenster, G. (2013). Proteomic Profiling of Exosomes Leads to the Identification of Novel Biomarkers for Prostate Cancer. PLoS ONE. https://doi.org/10.1371/journal.pone.0082589

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.