{"title":"Decoding the Anti-Tumour Mechanism of ɑ-Solanine: SRC Inhibition and Ferroptosis Induction in Colon Cancer","authors":"Chao Zheng, Yu Mao, Yongfeng Chen, Jianping Ye","doi":"10.1049/syb2.70057","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":"20 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12963022/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Systems Biology","FirstCategoryId":"99","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70057","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells.
The scope includes the following topics:
Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.