Evidence map›Paper›PMID 24904827›Full record

ReviewFrontiers in oncology2014

MicroRNA Machinery Genes as Novel Biomarkers for Cancer.

Jing-Tao Huang, Jin Wang, Vibhuti Srivastava, Subrata Sen, Song-Mei Liu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

38 citing papers in PubMed, 80 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Regulation of the microprocessor by post-translational modifications.Frontiers in cell and developmental biology · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. NFrontiers in oncology · 2021
    Article
  10. Article
  11. Article
  12. Article
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  14. Article
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  17. miR-96-5p targets PTEN expression affecting radio-chemosensitivity of HNSCC cells.Journal of experimental & clinical cancer research : CR · 2019
    Article
  18. Review
  19. Article
  20. Article
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

5 authors at 3 institutions in 2 countries.

Jing-Tao HuangCenter for Gene Diagnosis, Zhongnan Hospital of Wuhan University , Wuhan , China.
Jin WangDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA.
Vibhuti SrivastavaDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA.
Subrata SenDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA.
Song-Mei LiuCenter for Gene Diagnosis, Zhongnan Hospital of Wuhan University , Wuhan , China.
The University of Texas MD Anderson Cancer Center · USWuhan University · CNZhongnan Hospital of Wuhan University · CN

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) directly and indirectly affect tumorigenesis. To be able to perform their myriad roles, miRNA machinery genes, such as Drosha, DGCR8, Dicer1, XPO5, TRBP, and AGO2, must generate precise miRNAs. These genes have specific expression patterns, protein-binding partners, and biochemical capabilities in different cancers. Our preliminary analysis of data from The Cancer Genome Atlas consortium on multiple types of cancer revealed significant alterations in these miRNA machinery genes. Here, we review their biological structures and functions with an eye toward understanding how they could serve as cancer biomarkers.

Indexed as

alterationsbiomarkercancermachinery genesmiRNA

Identifiers

PMID24904827
PMCPMC4032885
OpenAlexW2087472531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.