Evidence map›Paper›PMID 19107370›Full record

ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2008

Inhibitory effect of matrine on the expression of PSA and AR in prostate cancer cell line LNCaP.

Ke Chen, Zhiquan Hu, Tao Wang, Hui Guo, Zhangqun Ye

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2008. 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
–field-weighted citation impact, top 89% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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 1 country.

Ke ChenDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. rains1979@sina.com
Zhiquan Hu
Tao Wang
Hui Guo
Zhangqun Ye
Tongji Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to investigate the inhibitory effect of matrine on the expression of prostate specific antigen (PSA) and androgen receptor (AR) in prostate cancer cell line LNCaP in vitro, LNCaP cells were treated with matrine at different concentrations (0.5, 1.0, 1.5, 2.0 g/L) for 12-36 h. The growth activities of cancer cells were determined by MTT colorimetric assay. The AR level was measured by Western blotting. The expression of PSA was detected by using AXSYM system-chemical luciferase methods. The results showed that matrine could effectively inhibit the growth of androgen-dependent prostate cancer cell line LNCaP in vitro in a time- and dose-dependent manner (P<0.05). It could obviously decrease the level of AR (P<0.01) and inhibit the expression of PSA in a dose-dependent manner (P<0.05) in LNCaP cells. It was concluded that matrine could significantly suppress the growth of LNCaP cells and inhibit the expression of PSA and AR of prostate cancer cells.

Indexed as

AlkaloidsAntineoplastic Agents, PhytogenicCell Line, TumorDose-Response Relationship, DrugHumansMaleMatrinesProstate-Specific AntigenProstatic NeoplasmsQuinolizinesReceptors, AndrogenAlkaloidsAntineoplastic Agents, PhytogenicMatrinesProstate-Specific AntigenQuinolizinesReceptors, Androgen

Identifiers

PMID19107370
OpenAlexW2011955160

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.