Evidence map›Paper›PMID 30400936›Full record

ArticleBMC complementary and alternative medicine2018

Investigate the mechanisms of Chinese medicine Fuzhengkangai towards EGFR mutation-positive lung adenocarcinomas by network pharmacology.

Zhitong Bing, Zhiyuan Cheng, Danfeng Shi, Xinkui Liu, Jinhui Tian, Xiaojun Yao, Jingyun Zhang, Yongfeng Wang, Kehu Yang

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 49 citations in OpenAlex.

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  19. Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis.Evidence-based complementary and alternative medicine : eCAM · 2019
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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

9 authors at 4 institutions in 1 country.

Zhitong BingEvidence Based Medicine Center, School of Basic Medical Science of Lanzhou University, Lanzhou, China.
Zhiyuan ChengEvidence Based Medicine Center, School of Basic Medical Science of Lanzhou University, Lanzhou, China.
Danfeng ShiDepartment of Chemistry, State Key Laboratory of Applied Organic Chemistry, Lanzhou University, Lanzhou, China.
Xinkui LiuDepartment of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Jinhui TianEvidence Based Medicine Center, School of Basic Medical Science of Lanzhou University, Lanzhou, China.
Xiaojun YaoDepartment of Chemistry, State Key Laboratory of Applied Organic Chemistry, Lanzhou University, Lanzhou, China.
Jingyun ZhangEvidence Based Medicine Center, School of Basic Medical Science of Lanzhou University, Lanzhou, China.
Yongfeng WangGansu University of Chinese Medicine, Lanzhou, China.
Kehu YangEvidence Based Medicine Center, School of Basic Medical Science of Lanzhou University, Lanzhou, China. kehuyangebm2006@126.com.
Lanzhou University · CNBeijing University of Chinese Medicine · CNGansu University of Traditional Chinese Medicine · CNInstitute of Modern Physics · CN

Funding

Gansu province funding 1606RJZA016
6 · The paper itself

Abstract

backgroundChinese traditional herbal medicine Fuzhengkangai (FZKA) formulation combination with gefitinib can overcome drug resistance and improve the prognosis of lung adenocarcinoma patients. However, the pharmacological and molecular mechanisms underlying the active ingredients, potential targets, and overcome drug resistance of the drug are still unclear. Therefore, it is necessary to explore the molecular mechanism of FZKA.

methodsA systems pharmacology and bioinformatics-based approach was employed to investigate the molecular pathogenesis of EGFR-TKI resistance with clinically effective herb formula. The differential gene expressions between EGFR-TKI sensitive and resistance cell lines were calculated and used to find overlap from targets as core targets. The prognosis of core targets was validated from the cancer genome atlas (TCGA) database by Cox regression. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment is applied to analysis core targets for revealing mechanism in biology.

resultsThe results showed that 35 active compounds of FZKA can interact with eight core targets proteins (ADRB2, BCL2, CDKN1A, HTR2C, KCNMA1, PLA2G4A, PRKCA and LYZ). The risk score of them were associated with overall survival and relapse free time (HR = 6.604, 95% CI: 2.314-18.850; HR = 5.132, 95% CI: 1.531-17.220). The pathway enrichment suggested that they involved in EGFR-TKI resistance and non-small cell lung cancer pathways, which directly affect EGFR-TKI resistance. The molecular docking showed that licochalcone a and beta-sitosterol can closely bind two targets (BCL2 and PRKCA) that involved in EGFR-TKI resistance pathway.

conclusionsThis study provided a workflow for understanding mechanism of CHM for against drug resistance.

Indexed as

Drugs, Chinese HerbalMolecular Docking SimulationAdenocarcinoma of LungCell Line, TumorComputational BiologyDrug DiscoveryDrug Resistance, NeoplasmErbB ReceptorsHumansLung NeoplasmsProtein Interaction MapsTranscriptomeDrugs, Chinese HerbalErbB Receptorsfuzheng kang'aiFuzhengkangai formulaHerbal medicinesMolecular dockingSystems pharmacology

Identifiers

PMID30400936
PMCPMC6218988
OpenAlexW2899816816

What OpenQuestion holds

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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.