Evidence map›Paper›PMID 31447670›Full record

ArticleFrontiers in pharmacology2019

An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology.

Pengfei Guo, Chuipu Cai, Xiaoqin Wu, Xiude Fan, Wei Huang, Jingwei Zhou, Qihui Wu, Yujie Huang, Wei Zhao, Fengxue Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  15. Article
  16. Berberine Protects against TNF-Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 2 institutions in 2 countries.

Pengfei GuoScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Chuipu CaiScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaoqin WuLerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Xiude FanLerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.
Wei HuangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jingwei ZhouScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qihui WuScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yujie HuangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wei ZhaoScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Fengxue ZhangSchool of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qi WangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yongbin ZhangLaboratory of Experimental Animal, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNCleveland Clinic Lerner College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past several decades, natural products with poly-pharmacological profiles have demonstrated promise as novel therapeutics for various complex diseases, including cancer. Berberine (PubChem CID: 2353), a soliloquies quaternary alkaloid, has been validated to exert powerful effects in many cancers. However, the underlying molecular mechanism is not yet fully elucidated. In this study, we summarized the molecular effects of berberine against multiple cancers based on current available literatures. Furthermore, a systems pharmacology infrastructure was developed to discover new cancer indications of berberine and explore their molecular mechanisms. Specifically, we incorporated 289 high-quality protein targets of berberine by integrating experimental drug-target interactions (DTIs) extracted from literatures and computationally predicted DTIs inferred by network-based inference approach. Statistical network models were developed for identification of new cancer indications of berberine through integration of DTIs and curated cancer significantly mutated genes (SMGs). High accuracy was yielded for our statistical models. We further discussed three typical cancer indications (hepatocarcinoma, lung adenocarcinoma, and bladder carcinoma) of berberine with new mechanisms of actions (MOAs) based on our systems pharmacology framework. In summary, this study systematically provides a powerful strategy to identify potential anti-cancer effects of berberine with novel mechanisms from a systems pharmacology perspective.

Indexed as

berberinecancerdrug–target interactionssignificantly mutated genessystems pharmacology

Identifiers

PMID31447670
PMCPMC6691338
OpenAlexW2954572544

What OpenQuestion holds

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Registered trials

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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.