Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 352

The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.

Exosomes

Open access
Zhang, Huang-Ge, Grizzle, William E.·2014·The American Journal of Pathology

Abstract

Normal and diseased cells release bilayered membrane-bound nanovesicles into interstitial spaces and into bodily fluids. A subgroup of such microvesicles is called exosomes and is described in blood as 30 to 100 nm in diameter and as spherical to cup-shaped nanoparticles with specific surface molecular characteristics (eg, expression of the tetraspanins CD9, CD81, and CD63). Extracellular microvesicles provide local signals (eg, autocrine and paracrine) and distant endocrine signals to cells via the transfer of their contents, which include signal proteins, lipids, miRNAs, and functional mRNAs. Exosomes and related microvesicles also aid cells in exporting less-needed molecules and potentially harmful molecules, including drugs; in the case of neoplasia, the export of chemotherapeutic drugs may facilitate cellular chemoresistance. Cancers have adapted the exosome and related microvesicles as a pathway by which neoplastic cells communicate with each other (autocrine) and with nonneoplastic cells (paracrine and endocrine); via this pathway, cancer suppresses the immune system and establishes a fertile local and distant environment to support neoplastic growth, invasion, and metastases. Because exosomes mirror and bind to the cells from which they arise, they can be used for delivery of drugs, vaccines, and gene therapy, as biomarkers and targets. We review how exosomes and related extracellular microvesicles facilitate the progression and metastases of cancers and describe how these microvesicles may affect clinical care.

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 · 10.1016/j.ajpath.2013.09.027

Cites

124 of 124 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

1 retracted

Show all 124 references

Cited by

See all 352

Metadata

Authors
Zhang, H.-G., & Grizzle, W. E.
Venue
The American Journal of Pathology
Publisher
Elsevier BV
Published
2014-01
Volume
184
Issue
1
Pages
28-41
ISSN
0002-9440 (ISSN-L)
OpenAlex
W136971731
Cited by
352
References
124
FWCI
11.83
Type
journal article
Language
en
Open access
hybrid

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: Exosomes. https://app.cochat.ai/papers/10.1016/j.ajpath.2013.09.027
The paper
Zhang, H.-G., & Grizzle, W. E. (2014). Exosomes. The American Journal of Pathology. https://doi.org/10.1016/j.ajpath.2013.09.027

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.