Evidence map›Paper›PMID 34251094›Full record

ArticleMolecular genetics & genomic medicine2021

STAT3 polymorphisms in North Africa and its implication in breast cancer.

Wafa Ziadi, Sami Boussetta, Sarra Elkamel, Andrew J Pakstis, Kenneth K Kidd, Imen Medimegh, Amel Ben Ammar Elgaaied, Lotfi Cherni

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2021. 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
0.2field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

8 authors at 2 institutions in 2 countries.

Wafa ZiadiLaboratory of Genetics, Immunology and Human Pathology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis, Tunisia.ORCID 0000-0002-1174-9469
Sami BoussettaLaboratory of Genetics, Immunology and Human Pathology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Sarra ElkamelLaboratory of Genetics, Immunology and Human Pathology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis, Tunisia.ORCID 0000-0002-1110-5225
Andrew J PakstisDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Kenneth K KiddDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Imen MedimeghLaboratory of Genetics, Immunology and Human Pathology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Amel Ben Ammar ElgaaiedLaboratory of Genetics, Immunology and Human Pathology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Lotfi CherniLaboratory of Genetics, Immunology and Human Pathology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Tunis University · TNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnly a few studies have investigated the association of single nucleotide polymorphisms in STAT3 gene with the susceptibility to cancer and response to chemotherapy. Our aim was to determine the allele frequencies of rs3869550, rs957971, and rs7211777 at the STAT3 gene in North African populations and compare them to 1000 genomes populations, and to investigate their relation with cancer.

methodsThe targeted SNPs have been analyzed in six Tunisian populations and a sample of Libyans using TaqMan® Assay. The results were compared to 1000 Genomes Project population samples. Targeting of the regions encompassing the three SNPs by micro-ARN was assessed using miR databases.

resultsThe analysis of the 3 SNPs showed that North African populations were close to South Asians. As expected, African populations presented a significant frequency of the ancestral CCG haplotype in contrast to other populations where the fully derived TGA haplotype was more frequent. The presence and diversity of rare haplotypes at STAT3 in North African populations could have been generated by recombination between the two major haplotypes. A screening of the micro-RNA databases showed that the STAT3 region with the mutated allele of rs7211777 (G>A) could be targeted by miR hsa-miR-3606-5p, which also targets genes involved in breast cancer.

Indexed as

Polymorphism, Single NucleotideBreast NeoplasmsFemaleHaplotypesHumansSTAT3 Transcription FactorTunisiaSTAT3 protein, humanSTAT3 Transcription Factorbreast cancermiR-3606-5pNorth Africars7211777STAT3

Identifiers

PMID34251094
PMCPMC8404238
OpenAlexW3179982005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.