Evidence map›Paper›PMID 22844380›Full record

ArticleOncology letters2012

Methylation and aberrant expression of the Wnt antagonist secreted Frizzled-related protein 1 in bladder cancer.

Xiaobin Wang, Huihan Wang, Renge Bu, Xiang Fei, Chenghai Zhao, Yongsheng Song

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Epigenetics ofCancers · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Canonical Wnt signaling in systemic sclerosis.Laboratory investigation; a journal of technical methods and pathology · 2016
    Review
  10. Regulation of metastasis of bladder cancer cells through the WNT signaling pathway.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  11. 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

6 authors at 1 institution in 1 country.

Xiaobin WangDepartment of Urology, Shengjing Hospital affiliated to China Medical University, Shenyang 110004, P.R. China.
Huihan Wang
Renge Bu
Xiang Fei
Chenghai Zhao
Yongsheng Song
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to determine the methylation and expression status of secreted Frizzled-related protein 1 (SFRP1) in bladder cancer, to explore the mechanisms involved and to study the role of SFRP1 in the pathogenesis of bladder cancer. SFRP1 mRNA was detected by reverse transcription PCR (RT-PCR). The DNA methylation status was determined by methylation-specific PCR and protein was detected using western blotting. The results of the present study demonstrated that SFRP1 was methylated in the bladder cancer cell lines T24 and 5637, but not in SCaBER cells. After treating T24 and 5637 cells with a demethylating agent, the cells expressed SFRP1 mRNA and protein. Among the 45 patients with bladder cancer, methylation of SFRP1 was detected in 28 patients (62.2%). Of the matched cancer-adjacent tissues, 6 (13.3%) were found to have methylated SFRP1. The result is statistically significant (P<0.01). In conclusion, SFRP1 is downregulated in certain bladder cancer patients as a consequence of methylation. SFRP1 methylation may be involved in the pathogenesis of bladder cancer via excessive activation of the Wnt signaling pathway.

Identifiers

PMID22844380
PMCPMC3402742
OpenAlexW2030707930

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.