Evidence map›Paper›PMID 33603465›Full record

ArticleCancer management and research2021

Network Pharmacology-Based Approach to Investigate the Molecular Targets of Sinomenine for Treating Breast Cancer.

Xiao-Mei Li, Mao-Ting Li, Ni Jiang, Ya-Chen Si, Meng-Mei Zhu, Qiao-Yuan Wu, Dong-Chen Shi, Hui Shi, Qing Luo, Bing Yu

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 26 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

10 authors at 2 institutions in 1 country.

Xiao-Mei Li *Cancer Research Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, 563003, People's Republic of China.
Mao-Ting Li *Department of Cell Biology, Center for Stem Cell and Medicine, Navy Medical University (Second Military Medical University), Shanghai, 200433, People's Republic of China.
Ni JiangCancer Research Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, 563003, People's Republic of China.
Ya-Chen SiStudent Brigade, Second Military Medical University, Shanghai, People's Republic of China.
Meng-Mei ZhuDepartment of Cell Biology, Center for Stem Cell and Medicine, Navy Medical University (Second Military Medical University), Shanghai, 200433, People's Republic of China.ORCID 0000-0001-9385-5638
Qiao-Yuan WuCancer Research Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, 563003, People's Republic of China.
Dong-Chen ShiDepartment of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, Shanghai, 200433, People's Republic of China.
Hui ShiDepartment of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, Shanghai, 200433, People's Republic of China.
Qing LuoCancer Research Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, 563003, People's Republic of China.
Bing YuDepartment of Cell Biology, Center for Stem Cell and Medicine, Navy Medical University (Second Military Medical University), Shanghai, 200433, People's Republic of China.ORCID 0000-0002-3421-8601
Second Military Medical University · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSinomenine has been known to inhibit the proliferation of breast cancer cells. However, its targets have not been found yet. This study aimed to search for molecular targets of sinomenine for treating breast cancer via network pharmacology.

methodsPotential targets of sinomenine or breast cancer were separately screened from indicated databases. The common targets of both sinomenine and breast cancer were considered as the targets of sinomenine for treating breast cancer. A sinomenine-target-pathway network was constructed based on the obtained results from Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The putative targets of sinomenine were further determined by using protein-protein interaction (PPI) analysis and molecular docking. Finally, the putative targets were verified in vitro and in vivo.

resultsTwenty predicted targets were identified through network pharmacological analysis. Gene Ontology (GO) and KEGG pathway enrichment indicated that these predicted targets enriched in the process of MAP kinase activity, VEGF signaling pathway, Relaxin signaling pathway, Growth hormone synthesis, secretion and action. MAPK1, NOS3, NR3C1, NOS1 and NOS2 were further identified as the putative targets by using PPI and molecular docking analysis. Expression of MAPK1, NR3C1, NOS1, NOS2 and NOS3 genes were significantly regulated by sinomenine in both MCF-7 cells and MDA-MB-231 cells. Furthermore, the expression of NR3C1 in human breast cancer specimens was lower than that in para-tumor normal tissues. Meanwhile, the expression of NR3C1 in xenograft tumors was up-regulated after sinomenine treatment.

conclusionMAPK1, NR3C1, NOS1, NOS2 and NOS3 were identified as the putative targets of sinomenine for treating breast cancer. NR3C1 was preliminarily confirmed as a target of sinomenine in two breast cancer cell lines, xenograft tumor models and human breast cancer specimens. These data indicated that the network pharmacology-based prediction of sinomenine targets for treating breast cancer could be reliable.

Indexed as

breast cancernetwork pharmacologyNR3C1sinomeninetargets screen

Identifiers

PMID33603465
PMCPMC7881794
OpenAlexW3128164062

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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.