Evidence map›Paper›PMID 26031493›Full record

ReviewJournal of cellular physiology2016

MicroRNA as Biomarkers and Diagnostics.

Jin Wang, Jinyun Chen, Subrata Sen

Abstract readReview
In one paragraph

Review in Journal of cellular physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 428 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
428citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

428 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. PCYT1B-Targeting miRNAs as Potential Biomarkers for Placental Diseases.International journal of molecular sciences · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

368 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jin WangDepartments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jinyun ChenDepartments of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Subrata SenDepartments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Funding

Biomarkers for the Early Detection of Pancreatic CancerU01CA111302 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KILLARY, ANN M, SEN, SUBRATA · 2004 to 2015
$6.6M
NCI NIH HHS U01 CA111302
6 · The paper itself

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.

Indexed as

AnimalsAutoimmune DiseasesBiomarkers, TumorCardiovascular DiseasesGenetic Predisposition to DiseaseHumansMicroRNAsNeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

PMID26031493
PMCPMC8776330

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.