Evidence map›Paper›PMID 29989022›Full record

ArticleOncology reviews2018

Post-transcriptional regulation of microRNAs in cancer: From prediction to validation.

Sheril June Ankasha, Mohamad Nasir Shafiee, Norhazlina Abdul Wahab, Raja Affendi Raja Ali, Norfilza Mohd Mokhtar

Abstract read
In one paragraph

Article in Oncology reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. CouldBiomedicines · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. MicroRNA regulation of BAG3.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
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.

Sheril June AnkashaDepartment of Physiology, Faculty of Medicine, University Kebangsaan.
Mohamad Nasir ShafieeDepartment of Obstetrics and Gynaecology, Faculty of Medicine, University Kebangsaan.
Norhazlina Abdul WahabDepartment of Physiology, Faculty of Medicine, University Kebangsaan.
Raja Affendi Raja AliGastroenterology Unit, Department of Medicine, Faculty of Medicine, University Kebangsaan, Malaysia.
Norfilza Mohd MokhtarDepartment of Physiology, Faculty of Medicine, University Kebangsaan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA (miRNA) is a small non-coding RNA with an established function to regulate genes at the post-transcriptional level leading to suppression or degradation of its messenger RNA expression (mRNA). Its dysregulation plays a vital role in a variety of biological and pathological processes including cancer. A lot of algorithms have been established to predict the target sites of miRNA, but experimentally identifying and validating its target region is still lacking. Guidance in experimental procedures is really needed to find genuine miRNA targets. Therefore, in this review, we provide an outline on the workflow in predicting and validating the targeted sites of miRNA using several methods as a guideline for the scientists. The final outcome of this type of experiment is essential to explore the major impact of miRNAmRNA interaction involved in the biological processes and to assist miRNA-based drug development in the future.

Indexed as

algorithmcancermicroRNAtarget identification

Identifiers

PMID29989022
PMCPMC6037043

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.