Evidence map›Paper›PMID 15304843›Full record

ArticleEndocrine pathology2000

Aberrant DNA methylation of cyclin D2 and p27 genes in rodent pituitary tumor cell lines correlates with specific gene expression.

X Qian, L Jin, R V Lloyd

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine pathology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Molecular pathology of pituitary adenomas.Journal of neuro-oncology · 2001
    Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

X QianDepartment of Laboratory Medicine and Pathology, Mayo Clinic and Mayo Foundation, Rochester, MN, USA.
L Jin
R V Lloyd
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously reported that increased DNA methylation was an important mechanism of silencing the p27 gene in some pituitary tumor cell lines [1]. DNA methylation correlated inversely with p27 gene expression. The p27 and cyclin D2 genes are located in the same region of mouse chromosome 6, rat chromosome 4, and human chromosome 12p13. Because both genes are located in the same gene cluster, we investigated whether methylation was a principal mechanism regulating cyclin D2 as well as p27 expression in rodent pituitary cell lines. Bisulfite genomic sequencing showed that the normally unmethylated cytosines of the p27 gene in normal pituitary (NP) were extensively methylated in GH3 and GHRH-CL1 cells, but not in AtT 20, alphaT3-1 and LbetaT2 cells; but cyclin D2 was extensively inactivated in various pituitary tumor cell lines by increased DNA methylation. These abnormalities of methylation in p27 and cyclin D2 genes occurred with different frequencies in five pituitary tumor cell lines with 100% (5/5) methylation of the cyclin D2 gene and 40% (2/5) methylation of the p27 gene. Treatment with the methyl transferase inhibitor 5'-aza-2'-deoxycytidine (AZAdC) increased expression of cyclin D2 and p27 in GH3 and GHRH-CL1 pituitary tumor cells. There was a correlation between hypermethylation and gene expression. GH3 tumors implanted into Wistar-Furth rats in vivo did not change the methylation status of the p27 and cyclin D2 genes. These data indicate a coordinately reduced expression of these two linked genes in most rodent pituitary tumor cell lines and suggest that methylation of cyclin D2 and p27 might occur in a "hot spot" in this gene-rich cluster.

Identifiers

PMID15304843
OpenAlexW2092614390

What OpenQuestion holds

Textmetadata
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.