Evidence map›Paper›PMID 27434289›Full record

ArticleCancer biomarkers : section A of Disease markers2016

Functional SNP in stem of mir-146a affects Her2 status and breast cancer survival.

Mahboobeh Meshkat, Hamzeh Mesrian Tanha, Marjan Mojtabavi Naeini, Kamran Ghaedi, Mohammad H Sanati, Marzieh Meshkat, Fatemeh Bagheri

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. miR-146a-5p Plays an Oncogenic Role in NSCLC via Suppression of TRAF6.Frontiers in cell and developmental biology · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. microRNAs Make the Call in Cancer Personalized Medicine.Frontiers in cell and developmental biology · 2017
    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

7 authors at 4 institutions in 1 country.

Mahboobeh MeshkatDepartment of Biology, Division of Cellular and Molecular Biology, Nourdanesh University of Meymeh, Meymeh, Isfahan, Iran.
Hamzeh Mesrian TanhaCellular and Molecular Biology Division, Biology Department, Faculty of Sciences, University of Isfahan, Isfahan, Iran.
Marjan Mojtabavi NaeiniBiology Department, Genetics Division, Faculty of Sciences, University of Isfahan, Isfahan, Iran.
Kamran GhaediCellular and Molecular Biology Division, Biology Department, Faculty of Sciences, University of Isfahan, Isfahan, Iran.
Mohammad H SanatiNational Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Marzieh MeshkatDepartment of Biology, Division of Cellular and Molecular Biology, Nourdanesh University of Meymeh, Meymeh, Isfahan, Iran.
Fatemeh BagheriBiology Department, Biochemistry Division, Faculty of Science, Payame noor University of Taft, Yazd, Iran.
University of Isfahan · IRDanesh-e-Tandorosti Iranian Institute of Higher Health · IRNational Institute of Genetic Engineering and Biotechnology · IRPayame Noor University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-silico investigation suggested a common variant within stem of miR-146a-5p precursor (rs2910164, n.60C>G) associated with breast cancer (BC) phenotypes. Our aim was computationally predicting possible targets of miR-146a-5p and probable rs2910164 mechanism of action in expression of phenotypes in BC. Additionally, a case-control study was designated to examine experimentally the correlation of mir-146a rs2910164 variant and BC phenotypes. In this study, 152 BC subjects and healthy controls were genotyped using RFLP-PCR. Allelic and genotypic association and Armitage's trend tests were run to investigate the correlation between the alleles and genotypes and expressed phenotypes of BC. Bioinformatics analyses introduce regulatory function of miR-146a-5p in numerous signaling pathways and impact of allele substitution upon mir-146a stem-loop stability. Logistic regression data represented the C allele of rs2910164 (OR = 4.00, p= 0.0037) as the risk allele and associated with Her2-positive phenotype. In a similar vein, data revealed the correlation of the C allele and cancer death less than two years in BC patients (OR = 2.65, p= 0.0217). Ultimately, unconditional logistical regression models suggested log-additive model for inheritance manner of rs2910164 in either Her2 status or BC survival (OR = 5.64, p= 0.0025 and OR = 3.13, p= 0.019, respectively). Using bioinformatics connected association of Her2 status to altered function of miR-146a-5p in regulation of focal adhesion and Ras pathway. Furthermore, computations inferred the association between death phenotype and studied SNP upon specific target genes of miR-146a-5p involved in focal adhesion, EGF receptor, Ras, ErbB, interleukin, Toll-like receptor, NGF, angiogenesis, and p53 feedback loops 2 signaling pathways. These verdicts may enhance our perceptions of how mir-146a rs2910164 affect expressed phenotypes in BC, and might have potential implications to develop BC treatment in future.

Indexed as

Polymorphism, Single NucleotideAllelesBiomarkers, TumorBreast NeoplasmsCase-Control StudiesErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene FrequencyGene Regulatory NetworksGenotypeHumansMicroRNAsNeoplasm GradingNeoplasm MetastasisBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesMicroRNAsMIRN146 microRNA, humanBreast cancercancer deathfunctional SNPHer2mir-146a

Identifiers

PMID27434289
PMCPMC13020485
OpenAlexW2470378876

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.