Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 291

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

microRNAs: Master Regulators as Potential Therapeutics in Cancer

Garofalo, Michela, Croce, Carlo M.·2011·Annual Review of Pharmacology and Toxicology

Abstract

It has been demonstrated that all the known processes involved in cancer, including apoptosis, proliferation, survival, and metastasis, are regulated by small regulatory noncoding RNAs consisting of approximately 19–25 nucleotides; these are named microRNAs (miRNAs). Both loss and gain of miRNA function contribute to cancer development through the upregulation and silencing, respectively, of different target genes. Experimental evidence indicates that the use of miRNA mimics or anti-microRNAs may represent a powerful therapeutic strategy to interfere with key molecular pathways involved in cancer. This review provides insights about how micro- RNAs act as oncogenes and tumor suppressor genes and how these findings, along with our increasing understanding of miRNA regulation, can be applied to optimize recent miRNA-based technologies and make them suitable for clinical applications.

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 · 10.1146/annurev-pharmtox-010510-100517

Cites

10 of 10 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 10 references

Cited by

See all 291

Metadata

Authors
Garofalo, M., & Croce, C. M.
Venue
Annual Review of Pharmacology and Toxicology
Published
2011-02-10
Volume
51
Issue
1
Pages
25-43
ISSN
  • 0362-1642 (ISSN-L)
  • 1545-4304
OpenAlex
W2103689264
Cited by
291
References
10
FWCI
1.41
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: microRNAs: Master Regulators as Potential Therapeutics in Cancer. https://app.cochat.ai/papers/10.1146/annurev-pharmtox-010510-100517
The paper
Garofalo, M., & Croce, C. M. (2011). microRNAs: Master Regulators as Potential Therapeutics in Cancer. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev-pharmtox-010510-100517

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.