Evidence map›Paper›PMID 34925466›Full record

ReviewFrontiers in genetics2021

SNPs in miRNAs and Target Sequences: Role in Cancer and Diabetes.

Yogita Chhichholiya, Aman Kumar Suryan, Prabhat Suman, Anjana Munshi, Sandeep Singh

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. PD-L1/Cancers · 2026
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  11. Genetic variations in tumor-suppressor miRNA-encoding genes and their target genes: focus on breast cancer development and possible therapeutic strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  12. Article
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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 1 institution in 1 country.

Yogita ChhichholiyaDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India.
Aman Kumar SuryanDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India.
Prabhat SumanDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India.
Anjana MunshiDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India.
Sandeep SinghDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India.
Central University of Punjab · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs are fascinating molecular players for gene regulation as individual miRNA can control multiple targets and a single target can be regulated by multiple miRNAs. Loss of miRNA regulated gene expression is often reported to be implicated in various human diseases like diabetes and cancer. Recently, geneticists across the world started reporting single nucleotide polymorphism (SNPs) in seed sequences of miRNAs. Similarly, SNPs are also reported in various target sequences of these miRNAs. Both the scenarios lead to dysregulated gene expression which may result in the progression of diseases. In the present paper, we explore SNPs in various miRNAs and their target sequences reported in various human cancers as well as diabetes. Similarly, we also present evidence of these mutations in various other human diseases.

Indexed as

cancerdiabetes mellitusmicroRNAmiRNAseed sequencesSNPstarget genes

Identifiers

PMID34925466
PMCPMC8673831
OpenAlexW3215263027

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.