Activating mutations in PIK3CA are among the most common genetic drivers in cervical cancer, yet how the mutation coordinates changes across RNA, proteins and metabolites has remained unclear. A new study in BMC Genomic Data reports that introducing the PIK3CA-E545K mutation into cervical cancer cells triggers a broad reprogramming of immune-related signaling and metabolism, with suppression of lipid biosynthesis and heightened oxidative stress emerging as central features of the altered cellular state.
The research team, led by Zhi-xin Wang, Le-le Chang, Ling-cong Yang, Tong-mei He and Qin Xu, used CRISPR/Cas9 to introduce the E545K mutation into U14 cervical cancer cells, creating an isogenic model in which the only intended difference was the mutation itself. They then profiled the cells on three molecular levels simultaneously: RNA sequencing to capture transcriptional changes, LC-MS/MS-based proteomics to measure protein abundance, and metabolomics to map shifts in small-molecule metabolism. Functional assays, including Western blotting, colony formation, CCK-8 proliferation tests, wound healing experiments and a subcutaneous mouse model, were used to validate the engineered system.
As expected from the established oncogenic role of activating PIK3CA mutations, the E545K variant increased cellular proliferation, clonogenicity, migratory capacity and tumor growth in mice. The authors note that these results served to validate the functional activity of their engineered model rather than as a novel therapeutic finding, establishing a reliable platform for the multi-omics analysis that followed.
The transcriptomic data revealed extensive immunoinflammatory dysregulation in the mutant cells. The finding suggests that a single recurrent mutation can reshape how cancer cells express immune-related genes, potentially influencing the inflammatory signals they emit.
Proteomic profiling identified 176 proteins whose abundance differed between mutant and control cells. Network analysis of these differentially abundant proteins highlighted Cd44 and Flt1 as hub nodes central to a rewired interaction network. The altered protein network showed enrichment in metabolic processes, including glycolysis and arginine and proline metabolism, linking the mutation’s protein-level effects directly to cellular energy and amino acid handling.
The metabolomics results pointed to a profound metabolic shift. The mutant cells displayed global suppression of lipid biosynthesis pathways, including unsaturated fatty acid biosynthesis, alongside elevated markers of oxidative stress. This combination—reduced lipid building programs together with increased oxidative burden—formed the clearest metabolic signature attributable to the mutation in the study.
When the three data layers were integrated, the analysis revealed coordinated alterations connecting lipid metabolism and redox-related processes across RNA, protein and metabolite levels. Such cross-omics consistency strengthens the case that these molecules participate in the mutation-driven remodeling rather than appearing as isolated statistical signals in a single data type.
The authors conclude that the PIK3CA mutation is associated with extensive alterations in immune-related and metabolic pathways in cervical cancer cells, and that this remodeling appears primarily driven by concurrent suppression of lipid metabolism and exacerbation of oxidative stress. They propose this as a potential mechanistic link between intracellular metabolic changes and pro-tumorigenic inflammatory signaling, though they emphasize that the work was performed in an engineered cell line and a mouse model, and that the impact of these cell-intrinsic alterations on the actual tumor immune microenvironment remains to be investigated.
The study is published as an open-access article in BMC Genomic Data, with the version shared carrying a permanent DOI as peer-reviewed, accepted research subject to further editorial edits before the final Version of Record. Because the analysis rests on a single isogenic cell model, the findings describe associations within that system; extending them to diverse cervical cancer contexts and to the tumor microenvironment will require further work.
Subject of Research: Multi-omics analysis of PIK3CA-E545K-driven immune and metabolic reprogramming in cervical cancer cells
Article Title: Multi-omics profiling reveals PIK3CA -driven immunometabolic reprogramming in cervical cancer
Article References: Wang, Z.-X., Chang, L.-L., Yang, L.-C., He, T.-M., & Xu, Q. (2026). Multi-omics profiling reveals PIK3CA -driven immunometabolic reprogramming in cervical cancer. BMC Genomic Data. https://doi.org/10.1186/s12863-026-01488-6
Image Credits: AI Generated
DOI: 10.1186/s12863-026-01488-6
Keywords: PIK3CA, cervical cancer, multi-omics, metabolomics, proteomics, JAK-STAT signaling, lipid metabolism, oxidative stress, CRISPR/Cas9, Cd44, glycolysis, tumor metabolism
News Source: Nathaniel Bowman. (October 29, 2026). PIK3CA mutation rewires immune and metabolic networks in cervical cancer cells. Scienmag.
