Evidence map›Paper›PMID 20407606›Full record

ArticleAmerican journal of translational research2010

miR-145-mediated suppression of cell growth, invasion and metastasis.

Mohit Sachdeva, Yin-Yuan Mo

Abstract read
In one paragraph

Article in American journal of translational research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
–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

92 citing papers in PubMed.

  1. Trial
  2. miR-145 restoration overcomes oxaliplatin resistance via ABCC1 in colorectal cancer.Journal of the Egyptian National Cancer Institute · 2026
    Article
  3. Article
  4. Article
  5. Dysregulated miRNAs Targeting Adiponectin Signaling in Colorectal Cancer.International journal of molecular sciences · 2025
    Review
  6. Review
  7. Review
  8. miR-145-5p Inhibits HER2-Positive Breast Cancer Cells via Targeting ARF6.International journal of general medicine · 2025
    Article
  9. The role of microRNAs in pregnancies complicated by maternal diabetes.Clinical science (London, England : 1979) · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

32 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

2 authors.

Mohit SachdevaDepartment of Medical Microbiology, Immunology and Cell Biology, Southern Illinois University School of Medicine Springfield, IL, USA.
Yin-Yuan Mo

Funding

Ubc9 as a novel target for cancer therapyR01CA102630 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MO, YIN-YUAN · 2003 to 2006
$943k
NCI NIH HHS R01 CA102630
6 · The paper itself

Abstract

MicroRNAs are a large group of negative gene regulators that work through a posttranscriptional repression mechanism. Evidence indicates that microRNAs play a fundamental role in a wide range of biological functions such as cellular proliferation, differentiation and apoptosis. In cancer, microRNAs may function as tumor suppressors and oncogenes, and therefore, they are referred to as 'oncomiRs'. In support of this notion, we have shown that miR-145 is underexpressed in tumor tissues and is capable of inhibiting tumor cell growth and invasion by targeting several genes such as c-Myc and mucin 1. This unique feature of miR-145-mediaed gene silencing may suggest that miR-145 is a potential cancer biomarker and serves as a novel target for cancer therapy.

Indexed as

cancercell growthinvasionmetastasismicroRNAsmiR-145negative gene regulatorsrepressionsuppression

Identifiers

PMID20407606
PMCPMC2855636

What OpenQuestion holds

Textmetadata
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.