Evidence map›Paper›PMID 20607395›Full record

ArticleCytotechnology2010

Inhibitory effects of Lang-du extract on the in vitro and in vivo growth of melanoma cells and its molecular mechanisms of action.

Liping Wang, Huiying Duan, Yishan Wang, Kun Liu, Peng Jiang, Zhen Qu, Kazumi Yagasaki, Guoying Zhang

Open access · bronzeAbstract read
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Article in Cytotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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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

8 authors at 3 institutions in 2 countries.

Liping WangLaboratory of Molecular Pharmacology, School of Pharmacy, Yantai University, No. 30, Qing Quan Lu, Lai Shan Qu, 264005, Yantai, Shandong Province, China.
Huiying Duan
Yishan Wang
Kun Liu
Peng Jiang
Zhen Qu
Kazumi Yagasaki
Guoying Zhang
Yantai University · CNBinzhou Medical University · CNRyukoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to investigate the effects of Lang-du extract (LDE) from Traditional Chinese Medicine (TCM) Euphorbia fischeriana Steud on the in vitro and in vivo growth of melanoma cells and its molecular mechanisms of action. Our present results have shown that LDE significantly suppressed the in vitro melanoma cell growth in dose- and time-dependent manners. LDE also displayed the synergistic effect with γ-radiation on the reduction of the cell viability in melanoma cells. The animal experimental results further confirmed that compared with the control group without drug treatment, the tumor volume in mice was significantly and time-dependently less in LDE group. The absolute weight of solid tumor in the LDE group was 7-fold lower than that in the control group. Western blot analysis indicated that LDE markedly down-regulated the expression of anti-apoptotic protein Bcl-2 and up-regulated the level of pro-apoptotic protein Bax, eventually leading the reduction of Bcl-2/Bax protein ratios both in the cultured melanoma cells and in the tumors from melanoma-bearing mice. In addition, LDE significantly reduced the tumor progression-associated protein levels of vascular endothelial growth factor (VEGF), hepatocyte growth factor/scatter factor (HGF/SF), and osteopontin (OPN) in tumors from the LDE-treated mice. Our findings suggest that LDE may have a wide therapeutic and/or adjuvant therapeutic application in the treatment of melanoma and other cancer.

Identifiers

PMID20607395
PMCPMC2978309
OpenAlexW2119357709

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.