Cited by 793MicroRNA in disease regulationExtracellular vesicles in diseaseCancer-related molecular mechanisms research

MicroRNA as Biomarkers and Diagnostics

Open access
Wang, Jin, Chen, Jinyun, Sen, Subrata·2016·Journal of Cellular Physiology

Abstract

MicroRNAs (miRNAs) are a group of small non-coding RNAs that are involved in regulating a range of developmental and physiological processes; their dysregulation has been associated with development of diseases including cancer. Circulating miRNAs and exosomal miRNAs have also been proposed as being useful in diagnostics as biomarkers for diseases and different types of cancer. In this review, miRNAs are discussed as biomarkers for cancer and other diseases, including viral infections, nervous system disorders, cardiovascular disorders, and diabetes. We summarize some of the clinical evidence for the use of miRNAs as biomarkers in diagnostics and provide some general perspectives on their use in clinical situations. The analytical challenges in using miRNAs in cancer and disease diagnostics are evaluated and discussed. Validation of specific miRNA signatures as biomarkers is a critical milestone in diagnostics.

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 · 10.1002/jcp.25056

Cites

120 of 120 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

2 retracted

Flagged first, then by citations

Research works printed but not linked: 1

  1. van Rooij E Sutherland LB Liu N Williams AH McAnally J Gerard RD Richardson JA Olson EN 2006b A signature pattern of stress-responsive microRNAs that can evoke cardiac hypertrophy and heart failure Proceedings of the National Academy of Sciences of the United States of America 103 48 18255 18260 17108080 PMC1838739

Cited by

Sorted by citations

Authors
Wang, J., Chen, J., & Sen, S.
Affiliations
The University of Texas MD Anderson Cancer Center (US)
Corresponding author
Sen, Subrata
Venue
Journal of Cellular Physiology
Publisher
Wiley
Published
2015-09-28
Volume
231
Issue
1
Pages
25-30
ISSN
  • 0021-9541 (ISSN-L)
  • 1097-4652
OpenAlex
W2105686255
Cited by
793
References
120
Citations by year
2026: 42 · 2025: 79 · 2024: 94 · 2023: 73 · 2022: 100 · 2021: 103 · 2020: 100 · 2019: 80 · 2018: 62 · 2017: 33 · 2016: 22 · 2015: 4 · 2014: 1
FWCI
3.93
Type
journal article
Language
en
Open access
Locations
  • Journal of Cellular Physiology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health, National Cancer Institute, USA (U01 CA111302)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
Keywords
microRNA, biomarkers, cancer diagnosis, circulating microRNAs, exosomal microRNAs, non-coding RNA, viral infection, neurological disorders, cardiovascular disease, diabetes mellitus, analytical challenges
MeSH terms
Animals, Autoimmune Diseases, Cardiovascular Diseases, Humans, Neoplasms, Biomarkers, Tumor, Genetic Predisposition to Disease, MicroRNAs

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