**Abstract**

This research investigates repurposing potato glycoalkaloids as lifesaving anticancer drugs. There is integration of network pharmacology with multiomics. Solanine, chaconine, and their hydrolysis products' pharmacokinetics were tested using SwissADME. Solanine and chaconine targets were identified *via* reverse pharmacophore mapping. Through database mining, 26 solanine and chaconine targets were found in cancer genes. To understand gene function, KEGG and GO analyses were done. STRING was used to create a protein-protein interaction network to find similarities between chemicals and cancer. To find prognostic genes in various cancers, CytoHubba in Cytoscape identified hub genes and GEPIA2 did survival analysis. ADME testing for solanine and chaconine medication candidates failed. Their glycosylation boosted solubility and P-glycoprotein inhibition. Cancer targets shared by both drugs were elevated in cancer-related pathways such as Pi3k-Akt1 and HIF-1. Cell death control and programmed cell death genes were enriched in gene ontology study. We built a protein-protein interaction network with 26 nodes and 38 edges. The hub genes were STAT3, TLR4, FGF2, IL2, NFKB1, AR, CHUK, TRIM24, NOS3, and KDM1A. Survival research showed that these genes predict cancer prognosis. We found that solanine and chaconine may interact with cancerrelated genes to fight cancer. Discovery of hub genes with prognostic significance sheds light on glycoalkaloids' anticancer processes.

**Keywords:** potato, glycoalkaloids, solanine and chaconine, network pharmacology, multiomics
