Evidence map›Paper›PMID 35163645›Full record

ArticleInternational journal of molecular sciences2022

In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC.

Aeman Zahra, Marcia Hall, Jayanta Chatterjee, Cristina Sisu, Emmanouil Karteris

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Biomolecules · 2025
    Review
  6. Biochemistry and biophysics reports · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. 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 at 3 institutions in 1 country.

Aeman ZahraBiosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK.
Marcia HallBiosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK.ORCID 0000-0003-0039-5041
Jayanta ChatterjeeBiosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK.
Cristina SisuBiosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK.ORCID 0000-0001-9371-0797
Emmanouil KarterisBiosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK.
Brunel University of London · GBMount Vernon Cancer Centre · GBUniversity of Surrey · GB

Funding

Isambard Kingdom Brunel Research Scholarship 10418139
6 · The paper itself

Abstract

backgroundRecently, we have shown that seven genes, namely

methodsWe present an analysis on the association of these genes with any phenotypes and mutations indicative of involvement in female cancers and predict the structural and functional consequences of those SNPS using in silico tools.

resultsThese seven genes present with 976 SNPs/mutations that are associated with human cancers, out of which 284 related to female cancers. We have then analysed the mutation impact on amino acid polarity, charge and water affinity, leading to the identification of 30 mutations in gynaecological cancers where amino acid (aa) changes lead to opposite polarity, charges and water affinity. Out of these 30 mutations identified, only a missense mutation (i.e., R831C/R804C in uterine corpus endometrial carcinomas, UCEC) was suggestive of structural damage on the

conclusionsWe demonstrate that the R831C/R804C mutation is deleterious and the predicted ΔΔG values suggest that the mutation reduces the stability of the protein. Future in vitro studies should provide further insight into the role of this transporter protein in UCEC.

Indexed as

Biomarkers, TumorComputational BiologyFemaleGene Expression Regulation, NeoplasticGenital Neoplasms, FemaleHumansPolymorphism, Single NucleotidePrognosisBiomarkers, Tumormissense mutationsprotein modellingSLC4A11uterine corpus endometrial carcinoma

Identifiers

PMID35163645
PMCPMC8835975
OpenAlexW4210809222

What OpenQuestion holds

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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.