Evidence map›Paper›PMID 33682294›Full record

ArticleCancer science2021

Systematic insight into the active constituents and mechanism of Guiqi Baizhu for the treatment of gastric cancer.

Ling Li, Xiao-Jie Jin, Jia-Wei Li, Cheng-Hao Li, Shuang-Yan Zhou, Jun-Jie Li, Cai-Qin Feng, Dong-Ling Liu, Yong-Qi Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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  8. An integrated network analysis, RNA-seq andFrontiers in pharmacology · 2023
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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 2 institutions in 2 countries.

Ling LiGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.ORCID https://orcid.org/0000-0002-9349-8332
Xiao-Jie JinGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.
Jia-Wei LiGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.
Cheng-Hao LiGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.
Shuang-Yan ZhouChongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
Jun-Jie LiGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.
Cai-Qin FengAffiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China.
Dong-Ling LiuGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.
Yong-Qi LiuGansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou, China.
Gansu University of Traditional Chinese Medicine · CNChongqing University of Posts and Telecommunications · CN

Funding

Natural Science Foundation in China 81960869Provincial key talent project GZT2020-9-1Provincial university industry support project in Gansu 2020C-15
6 · The paper itself

Abstract

Traditional Chinese medicine treatment of diseases has been recognized, but the material basis and mechanisms are not clear. In this study, target prediction of the antigastric cancer (GC) effect of Guiqi Baizhu (GQBZP) and the analysis of potential key compounds, key targets, and key pathways for the therapeutic effects against GC were carried out based on the method of network analysis and Kyoto Encyclopedia of Genes and Genomes enrichment. There were 33 proteins shared between GQBZP and GC, and 131 compounds of GQBZP had a high correlation with these proteins, indicating that the PI3K-AKT signaling pathway might play a key role in GC. From these studies, we selected human epidermal growth factor receptor 2 (HER2) and programmed cell death 1-ligand 1 (PD-L1) for docking; the results showed that 385 and 189 compounds had high docking scores with HER2 and PD-L1, respectively. Six compounds were selected for microscale thermophoresis (MST). Daidzein/quercetin and isorhamnetin/formononetin had the highest binding affinity for HER2 and PD-L1, with K

Indexed as

B7-H1 AntigenCell Line, TumorCell ProliferationDrugs, Chinese HerbalErb-b2 Receptor Tyrosine KinasesHumansIsoflavonesMolecular Docking SimulationNeoplasm ProteinsPhosphatidylinositol 3-KinasesProtein Structure, QuaternaryProtein Structure, TertiaryProto-Oncogene Proteins c-aktQuercetinSignal TransductionStomach Neoplasms3-methylquercetinB7-H1 AntigendaidzeinDrugs, Chinese HerbalERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesformononetinIsoflavonesNeoplasm ProteinsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktQuercetingastric cancerGuiqi Baizhu prescriptionmolecular dockingmolecular dynamics simulationMST analysisnetwork pharmacology

Identifiers

PMID33682294
PMCPMC8088928
OpenAlexW3135797369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.