Evidence map›Paper›PMID 42448946›Full record

ArticleChinese journal of integrative medicine2026

Integrated Network Pharmacology and Proteomics Reveal Anti-tumor Mechanism of Securinine in Ovarian Cancer.

Xin-Min Tu, Ya-Juan Zhang, Cheng-Yu Miao, Jie Kang, Yu-Heng Shi, Chen-Lin Wang, Bing Han, Guo-Yin Kai

Abstract read
PubMed Publisher
In one paragraph

Article in Chinese journal of integrative medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xin-Min TuZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Ya-Juan ZhangZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Cheng-Yu MiaoZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Jie KangZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Yu-Heng ShiZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Chen-Lin WangZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Bing HanZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Guo-Yin KaiZhejiang Provincial International S&T Cooperation Base for Active Ingredients of Medicinal and Edible Plants and Health, Zhejiang Provincial Key TCM Laboratory for Chinese Resource Innovation and Transformation, Institute of Chinese Medicine Resource Innovation and Quality Evaluation, School of Pharmaceutical Sciences, Jinhua Academy, Zhejiang Chinese Medical University, Hangzhou, 310053, China. kaiguoyin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effect and underlying mechanism of securinine (Sec) in ovarian cancer (OC) based on network pharmacology, in vivo experiments and proteomics.

methodsES2 cells were treated with different concentrations of Sec (6.25, 12.5, 25, 50, and 100 µmol/L) for 24 h. The cell viability was determined using the MTT assay. ES2 xenograft nude mice were randomly divided into 4 groups (5 mice per group): tumor control, positive control carboplatin (12.5 mg/kg), low-dose of Sec (10 mg/kg), and high-dose of Sec (20 mg/kg). During the treatment period, body weight and tumor volume were monitored. Major organs and tumor tissues were collected for organ index calculation and HE staining. The serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and creatinine were measured using commercial kits. Network pharmacology was used to predict the targets of Sec in OC. The proteomics analysis of tumor tissues was employed to identify key pathways regulated by Sec. The mRNA and protein levels of epidermal growth factor receptor (EGFR), hypoxia-inducible factor alpha (HIF-α), matrix metalloproteinase-9 (MMP9), mechanistic target of rapamycin (mTOR), nuclear factor kappa-B (NF-κB), signal transducer and activator of transcription 3 (STAT3), and the key targets in peroxisome proliferator-activated receptor (PPAR) signaling pathway were determined by qRT-PCR and Western blot, respectively. Molecular docking was used to analyze the interactions between Sec and the core targets.

resultsSec (6.25-100 µmol/L) inhibited ES2 cell proliferation (P<0.05 or P<0.01). Sec inhibited tumor growth in ES2 xenograft nude mice without toxicity in heart, liver, spleen, lung, and kidneys (P<0.05 or P<0.01). Network pharmacology identified 6 core targets associated with Sec's activity: EGFR, HIF-α, MMP9, mTOR, NF-κB, and STAT3. Proteomics analysis revealed PPAR signaling pathway as a key role. qRT-PCR confirmed that Sec significantly inhibited the mRNA levels of mTOR, NF-κB, STAT3, fatty acid-binding protein 3 (FABP3), FABP4, peroxisome proliferator-activated receptor alpha (PPAR-α), and PPAR-δ (P<0.05 or P<0.01). Western blot analysis demonstrated that Sec markedly suppressed the expression of FABP3, STAT3, and NF-κB (P<0.05 or P<0.01). Molecular docking revealed high binding affinity between Sec and FABP3, FABP4, mTOR, and NF-κB.

conclusionSec inhibits OC cell proliferation and tumor growth through the NF-κB and PPAR signaling pathways.

Indexed as

network pharmacologyovarian cancerPPAR signaling pathwayproteomicssecurinine

Identifiers

PMID42448946

What Socratic holds

Textmetadata
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 Socratic graph.