Evidence map›Paper›PMID 31115550›Full record

ArticleOncology reports2019

Differential gene methylation patterns in cancerous and non‑cancerous cells.

Katarzyna Kamińska, Aneta Białkowska, Janusz Kowalewski, Sui Huang, Marzena A Lewandowska

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. HCV Core protein represses DKK3 expression via epigenetic silencing and activates the Wnt/β-catenin signaling pathway during the progression of HCC.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Review
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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 2 institutions in 2 countries.

Katarzyna KamińskaDepartment of Molecular Oncology and Genetics, Innovative Medical Forum, The F. Lukaszczyk Oncology Center, Bydgoszcz, Poland.
Aneta BiałkowskaDepartment of Molecular Oncology and Genetics, Innovative Medical Forum, The F. Lukaszczyk Oncology Center, Bydgoszcz, Poland.
Janusz KowalewskiDepartment of Thoracic Surgery and Tumors, The Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, 85‑796 Bydgoszcz, Poland.
Sui HuangDepartment of Cell and Molecular Biology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Marzena A LewandowskaDepartment of Molecular Oncology and Genetics, Innovative Medical Forum, The F. Lukaszczyk Oncology Center, Bydgoszcz, Poland.
Collegium Medicum in Bydgoszcz · PLNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large‑scale projects, such as The Cancer Genome Atlas (TCGA), Human Epigenome Project (HEP) and Human Epigenome Atlas (HEA), provide an insight into DNA methylation and histone modification markers. Changes in the epigenome significantly contribute to the initiation and progression of cancer. The goal of the present study was to characterize the prostate cancer malignant transformation model using the CpG island methylation pattern. The Human Prostate Cancer EpiTect Methyl II Signature PCR Array was used to evaluate the methylation status of 22 genes in prostate cancer cell lines: PC3, PC3M, PC3MPro4 and PC3MLN4, each representing different metastatic potential in vivo. Subsequently, it was ascertained whether DNA methylation plays a role in the expression of these genes in prostate cancer cells. Hypermethylation of APC, DKK3, GPX3, GSTP1, MGMT, PTGS2, RASSF1, TIMP2 and TNFRSF10D resulted in downregulation of their expression in prostate cancer cell lines as compared to WT fibroblasts. Mining of the TCGA data deposited in the MetHC database found increases in the methylation status of these 9 genes in prostate cancer patients, further supporting the role of methylation in altering the expression of these genes in prostate cancer. Future studies are warranted to investigate the role of these proteins in prostate cancer development.

Indexed as

DNA MethylationCase-Control StudiesCell Line, TumorCpG IslandsDatabases, GeneticDown-RegulationEpigenomicsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMalePromoter Regions, GeneticProstatic Neoplasms

Identifiers

PMID31115550
PMCPMC6549081
OpenAlexW2946562606

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.