Evidence map›Paper›PMID 39496855›Full record

ReviewMolecular biotechnology2025

Shedding Light on the Molecular Diversities of miRNA in Cancer- an Exquisite Mini Review.

Surya Venkatesh, P Mohammed Manaz, M Harish Priya, G Ambiga, Soumyo Basu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Surya VenkateshDepartment of Biotechnology, Sethu Institute of Technology, Virudhunagar, India. suryavenkatesh9603@gmail.com.ORCID http://orcid.org/0009-0004-3862-1096
P Mohammed ManazDepartment of Biotechnology, Sethu Institute of Technology, Virudhunagar, India.
M Harish PriyaDepartment of Biotechnology, Ayya Nadar Janaki Ammal College, Sivakasi, India.
G AmbigaDepartment of Biotechnology, Ayya Nadar Janaki Ammal College, Sivakasi, India.
Soumyo BasuDepartment of Microbiology, Bengal College of Pharmaceutical Sciences & Research, Durgapur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short non-coding ribonucleic acids are also known as "Micro ribonucleic acids (miRNAs)". The miRNAs make a contribution to the regulation of genes and mitigation of cancer cell growth in humans. miRNAs play a significant role in several BPs, namely apoptosis, cell cycle progression, and development. It is well-recognized that miRNAs are crucial for the tumors' growth and also serve as Tumor Suppressors (TSs) or oncogenes. As miRNAs also act as an effective tumor suppressor, studying the molecular diversities of the miRNAs makes way to minimize cancer progression and the corresponding death rates in the future. Therefore, miRNAs along with their Biological Processes (BPs) and molecular diversities are thoroughly researched in this paper. Consequently, miRNAs particularly target their 3' UnTranslated Region (3'-UTR) for controlling the target mRNAs' stability and protein translation. So, this study also expresses the impact of microRNA variants in various cancer cells, namely Breast cancer, Gastric or stomach cancer, ovarian cancer, and lymphocytic leukemia. Furthermore, the database named PhenomiR and commercial kits that are used in the miRNA data analysis are discussed in this article to provide extensive knowledge about the molecular diversity analysis of miRNA and their influences on cancerous cells.

Indexed as

MicroRNAsNeoplasms3' Untranslated RegionsApoptosisGene Expression Regulation, NeoplasticHumans3' Untranslated RegionsMicroRNAsLeukemiaMiRNAsMolecular DiversitiesRibonucleic AcidsTumor Suppressors

Identifiers

What Socratic 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 Socratic graph.