Evidence map›Paper›PMID 29138518›Full record

ArticleScientific reports2017

Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach.

Qi Kong, Yong Ma, Jie Yu, Xiuping Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
3.0field-weighted citation impact, top 9% 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, 38 citations in OpenAlex.

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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

4 authors at 3 institutions in 3 countries.

Qi KongInstitute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC); Key Laboratory of Human Disease Comparative Medicine, National Health and Family Planning Commission; Key Laboratory of Human Diseases Animal Model, State Administration of Traditional Chinese Medicine; Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Beijing, 100021, China. latc281@163.com.
Yong MaDepartment of Urology, Shanxian Central Hospital, Heze, Shandong, 274300, China.
Jie YuState Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China.
Xiuping ChenState Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China.
University of Macau · MOAcademy of Medical Sciences · GBXian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germacrone, curdione, and furanodiene have been shown to be useful in the treatment of breast cancer but the pharmacological mechanism of action is unclear. In this paper, we explored a new method to study the molecular network and function of Traditional Chinese Medicine (TCM) herbs and their corresponding ingredients with bioinformatics tools, including PubChem Compound Database, BATMAN-TCM, SystemsDock, Coremine Medical, Gene ontology, and KEGG. Eleven targeted genes/proteins, 4 key pathways, and 10 biological processes were identified to participate in the mechanism of action in treating breast cancer with germacrone, curdione, and furanodiene. The information achieved by the bioinformatics tools was useful to interpretation the molecular mechanism for the treatment of germacrone, curdione, and furanodiene on breast cancers.

Indexed as

Breast NeoplasmsComputational BiologyDrugs, Chinese HerbalFemaleFuransHeterocyclic Compounds, 2-RingHumansMCF-7 CellsMedicine, Chinese TraditionalMolecular Targeted TherapySesquiterpenes, GermacranecurdioneDrugs, Chinese HerbalfuranodieneFuransgermacroneHeterocyclic Compounds, 2-RingSesquiterpenes, Germacrane

Identifiers

PMID29138518
PMCPMC5686110
OpenAlexW2767848966

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.