Evidence map›Paper›PMID 19967402›Full record

ArticleCytotechnology2010

Suppression of human lung cancer cell growth and migration by berbamine.

Huiying Duan, Jinling Luan, Qian Liu, Kazumi Yagasaki, Guoying Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Regulation of Cell-Signaling Pathways by Berbamine in Different Cancers.International journal of molecular sciences · 2022
    Review
  4. CuO-TiOBioinorganic chemistry and applications · 2022
    Article
  5. Foods (Basel, Switzerland) · 2019
    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.

Huiying DuanLaboratory of Molecular Pharmacology, School of Pharmacy, Yantai University, No. 30, Qing Quan Lu, Lai Shan Qu, 264005, Yantai, Shandong Province, China.
Jinling Luan
Qian Liu
Kazumi Yagasaki
Guoying Zhang
Yantai 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 berbamine (BER), a naturally occurring small-molecule compound from Traditional Chinese Medicine (TCM) Berberis amurensis, on the growth and migration of human lung cancer A549 cell line. This cell line is the non-small cell lung cancer (NSCLC) which constitutes 80% of lung cancer cases and remains an aggressive lung cancer associated with a poor patient survival. Our present results have shown that BER significantly suppressed the in vitro and ex vivo growth of A549 cells in dose- and time-dependent manners. Furthermore, Western blot analysis confirmed that BER dose-dependently 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 ratio in A549 cells. In addition, BER significantly inhibited the A549 cell migration at the low concentrations without restraining the cell growth. More importantly, BER significantly enhanced the anticancer activity of anticancer agents such as trichostatin A (the histone deacetylase inhibitor) and celecoxib (the inhibitor of cyclooxygenase-2) by strongly reducing the viability and/or the Bcl-2/Bax protein ratio in A549 cells. Our findings suggest that BER may have the wide therapeutic and/or adjuvant therapeutic application in the treatment of human NSCLC.

Identifiers

PMID19967402
PMCPMC2978312
OpenAlexW1982210415

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.