Evidence map›Paper›PMID 27074591›Full record

ArticleCell cycle (Georgetown, Tex.)2016

Impact of SNPs on CpG Islands in the MYC and HRAS oncogenes and in a wide variety of tumor suppressor genes: A multi-cancer approach.

Mohammad D Samy, John M Yavorski, James A Mauro, George Blanck

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact, top 98% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. WGS Data Collections: How Do Genomic Databases Transform Medicine?International journal of molecular sciences · 2023
    Review
  4. Article
  5. Article
  6. 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

4 authors at 2 institutions in 1 country.

Mohammad D Samya Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
John M Yavorskia Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
James A Mauroa Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
George Blancka Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
University of South Florida · USMoffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) that occur within CpG Islands may lead to increased hypermethylation if a SNP allele has the potential to form a CpG dinucleotide, as well as potentially lead to hypomethylation if a SNP allele eliminates a CpG dinucleotide. We analyzed CpG-related SNP allele frequencies in whole genome sequences (WGS) across 5 TCGA cancer datasets, thereby exploiting a more recent appreciation for signaling pathway degeneracy in cancer. The cancer data sets were analyzed for SNPs in CpG islands associated with the oncogenes, HRAS and MYC, and in the CpG islands associated with the tumor suppressor genes, APC, DCC, and RB1. We determined that one SNP allele (rs3824120) in a CpG island associated with MYC which eliminated a CpG was more common in the cancer datasets than in the 100Genomes databases (p < 0.01). For HRAS, 2 SNP alleles (rs112690925, rs7939028) that created CpG's occurred significantly less frequently in the cancer data sets than in the general SNP databases (e.g., rs7939028, p < 0.0002, in comparison with AllSNPs(142)). Also, one SNP allele (rs4940177) that created a CpG in a CpG island associated with the DCC tumor suppressor gene, was more common in the cancer datasets (p < 0.0007). To understand a broader picture of the potential of SNP alleles to create CpG's in CpG islands of tumor suppressor genes, we developed a scripted algorithm to assess the SNP alleles associated with the CpG islands of 43 tumor suppressor genes. The following tumor suppressor genes have the possibility of significant, percent increases in their CpG counts, depending on which SNP allele(s) is present: VHL, BRCA1, BRCA2, CHEK2, PTEN and RB1.

Indexed as

CpG IslandsGene Expression Regulation, NeoplasticPolymorphism, Single NucleotideAdenomatous Polyposis Coli ProteinAlgorithmsAllelesBase SequenceComputational BiologyDatasets as TopicDCC ReceptorDNA MethylationGene FrequencyGenome, HumanGenome-Wide Association StudyHumansNeoplasmsAdenomatous Polyposis Coli ProteinAPC protein, humanDCC protein, humanDCC ReceptorHRAS protein, humanMYC protein, humanProto-Oncogene Proteins c-mycProto-Oncogene Proteins p21(ras)RB1 protein, humanReceptors, Cell SurfaceRetinoblastoma Binding ProteinsTumor Suppressor ProteinsUbiquitin-Protein LigasesalgorithmbioinformaticsBLCAcancerCGHUBCOADCpG islandsDCCESCALUADmethylationMYConcogenesSNPsTCGAtumor suppressor genes

Identifiers

PMID27074591
PMCPMC4934054
OpenAlexW2340203805

What OpenQuestion holds

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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.