Evidence map›Paper›PMID 27806084›Full record

ArticlePloS one2016

Genetic and Epigenetic Regulation of TOX3 Expression in Breast Cancer.

Yoo-Jeong Han, Jing Zhang, Yonglan Zheng, Dezheng Huo, Olufunmilayo I Olopade

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.3field-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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Goblet cell differentiation subgroups in colorectal cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Correlation betweenReports of biochemistry & molecular biology · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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.

Yoo-Jeong HanCenter for Clinical Cancer Genetics and Global Health; and Section of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, United States of America.
Jing ZhangCenter for Clinical Cancer Genetics and Global Health; and Section of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, United States of America.
Yonglan ZhengCenter for Clinical Cancer Genetics and Global Health; and Section of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, United States of America.
Dezheng HuoDepartment of Public Health Sciences, University of Chicago, Chicago, IL 60637, United States of America.
Olufunmilayo I OlopadeCenter for Clinical Cancer Genetics and Global Health; and Section of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, United States of America.
Cancer Genetics (United States) · USUniversity of Chicago · USChicago Department of Public Health · US

Funding

Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
Genome-wide association study of breast cancer in the African DiasporaR01CA142996 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F. · 2010 to 2012
$1.5M
NCI NIH HHS P50 CA125183NCI NIH HHS R01 CA142996
6 · The paper itself

Abstract

Genome wide association studies (GWAS) have identified low penetrance and high frequency single nucleotide polymorphisms (SNPs) that contribute to genetic susceptibility of breast cancer. The SNPs at 16q12, close to the TOX3 and CASC16 genes, represent one of the susceptibility loci identified by GWAS, showing strong evidence for breast cancer association across various populations. To examine molecular mechanisms of TOX3 regulation in breast cancer, we investigated both genetic and epigenetic factors using cell lines and datasets derived from primary breast tumors available through The Cancer Genome Atlas (TCGA). TOX3 expression is highly up-regulated in luminal subtype tumors compared to normal breast tissues or basal-like tumors. Expression quantitative trait loci (eQTL) analyses revealed significant associations of rs3803662 and rs4784227 genotypes with TOX3 expression in breast tumors. Bisulfite sequencing of four CpG islands in the TOX3 promoter showed a clear difference between luminal and basal-like cancer cell lines. 5-Aza-2'-deoxycytidine treatment of a basal-like cancer cell line increased expression of TOX3. TCGA dataset verified significantly lower levels of methylation of the promoter in luminal breast tumors with an inverse correlation between methylation and expression of TOX3. Methylation QTL (mQTL) analyses showed a weak or no correlation of rs3803662 or rs4784227 with TOX3 promoter methylation in breast tumors, indicating an independent relationship between the genetic and epigenetic events. These data suggest a complex system of TOX3 regulation in breast tumors, driven by germline variants and somatic epigenetic modifications in a subtype specific manner.

Indexed as

DNA MethylationPolymorphism, Single NucleotideUp-RegulationApoptosis Regulatory ProteinsBreast NeoplasmsCell Line, TumorCpG IslandsDatabases, GeneticEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesHigh Mobility Group ProteinsHumansMCF-7 CellsPromoter Regions, GeneticApoptosis Regulatory ProteinsHigh Mobility Group ProteinsReceptors, ProgesteroneTOX3 protein, humanTrans-Activators

Identifiers

PMID27806084
PMCPMC5091860
OpenAlexW2548256977

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.