Evidence map›Paper›PMID 33092442›Full record

ArticleBioengineered2020

Systems pharmacology in combination with proteomics reveals underlying mechanisms of Xihuang pill against triple-negative breast cancer.

Xingchao Xu, Jimei Zhang, Zhenhua Zhang, Meng Wang, Yaping Liu, Xiangqi Li

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 15 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

6 authors at 2 institutions in 2 countries.

Xingchao XuDepartment of Breast Surgery, The Second Affiliated Hospital of Shandong First Medical University , Tai'an, China.ORCID 0000-0001-6007-1570
Jimei ZhangSchool of Pharmacy, Shandong First Medical University & Shandong Academy of Medical Sciences , Tai'an, China.
Zhenhua ZhangDepartment of Graduate Student Affairs, Shandong First Medical University & Shandong Academy of Medical Sciences , Tai'an, China.
Meng WangDepartment of Graduate Student Affairs, Shandong First Medical University & Shandong Academy of Medical Sciences , Tai'an, China.
Yaping LiuDepartment of Graduate Student Affairs, Shandong First Medical University & Shandong Academy of Medical Sciences , Tai'an, China.
Xiangqi LiDepartment of Breast Surgery, The Second Affiliated Hospital of Shandong First Medical University , Tai'an, China.
Academy of Medical Sciences · GBAffiliated Hospital of Taishan Medical University · CN

Funding

INTERFERON-B AND COPOLYMER-I IN MULTIPLE SCLEROSIS.K24NS002082 · NINDS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI DHIB-JALBUT, SUHAYL S. · 1999 to 2003
$435k
NINDS NIH HHS K24 NS002082
6 · The paper itself

Abstract

Xihuang pill (XHP), a traditional Chinese herbal formula, has been clinically used as an adjuvant therapy against triple-negative breast cancer (TNBC) via inhibiting cancer cell invasion and proliferation, as well as promoting cancer cell apoptosis. However, its anti-TNBC bio-active ingredients and possible mechanisms are still unclear. Herein, the hub bio-active compounds and underlying mechanisms of XHP against TNBC were systematically elucidated by integrating systems pharmacology approach and

Indexed as

Drugs, Chinese HerbalFemaleHumansMedicine, Chinese TraditionalMolecular Docking SimulationProteomicsTriple Negative Breast NeoplasmsDrugs, Chinese Herbalxihuangproteomicssystems pharmacologytraditional Chinese medicineTriple-negative breast cancerXihuang pill

Identifiers

PMID33092442
PMCPMC8291799
OpenAlexW3093967781

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.