Evidence map›Paper›PMID 41787063›Full record

ArticleIET systems biology

Decoding the Anti-Tumour Mechanism of ɑ-Solanine: SRC Inhibition and Ferroptosis Induction in Colon Cancer.

Chao Zheng, Yu Mao, Yongfeng Chen, Jianping Ye

Abstract read
In one paragraph

Article in IET systems biology. 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

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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

4 authors.

Chao ZhengDepartment of General Surgery, The People's Hospital of Yuhuan, Taizhou, Zhejiang, China.ORCID 0009-0003-9999-5609
Yu MaoDepartment of General Surgery, The People's Hospital of Yuhuan, Taizhou, Zhejiang, China.
Yongfeng ChenDepartment of General Surgery, The People's Hospital of Yuhuan, Taizhou, Zhejiang, China.
Jianping YeDepartment of General Surgery, The People's Hospital of Yuhuan, Taizhou, Zhejiang, China.

Funding

The Taizhou Municipal Science and Technology Bureau 24ywb168
6 · The paper itself

Abstract

α-Solanine, a steroidal alkaloid glycoside, exhibits significant anti-tumour properties with potential therapeutic applications in colon cancer. Its relevance was explored through network pharmacology, bioinformatics analysis and experimental validation. α-Solanine treatment significantly inhibited HT29 colon cancer cell proliferation and migration dose-dependently, reducing Ki67 and PCNA expression markers. Target prediction using PharmMapper and GeneCards databases revealed 90 potential targets, with network analysis identifying SRC as the key molecular target. Molecular docking confirmed stable α-solanine-SRC binding (-9.3 kcal/mol). TCGA analysis demonstrated SRC upregulation in colon cancer across tumour stages T1-T4, with high expression correlating negatively with immune infiltration and poor prognosis. Pathway analysis revealed SRC's involvement in PI3K/AKT/mTOR signalling, regulating ferroptosis-related genes. Experimental validation showed α-solanine increased ROS, MDA and iron levels while decreasing GSH, promoting ferroptosis. Gene silencing confirmed SRC's critical role in cancer progression, with α-solanine's effects suppressed upon SRC upregulation. These findings suggest that SRC is a potential target of α-solanine, and that its anticancer effects may involve inhibition of SRC and suppression of the PI3K/AKT/mTOR pathway. The ferroptosis-mediated mechanisms highlight α-solanine's therapeutic potential and suggest promising avenues for colon cancer treatment development.

Indexed as

Antineoplastic AgentsColonic NeoplasmsFerroptosisSolaninesrc-Family KinasesCell ProliferationGene Expression Regulation, NeoplasticHT29 CellsHumansMolecular Docking SimulationSignal Transductionalpha-solanineAntineoplastic AgentsSolaninesrc-Family Kinasescancernetwork analysispharmacologytumours

Identifiers

PMID41787063
PMCPMC12963022

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LicenceCC BY-NC-ND
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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.