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Tumor transformation is associated with profound changes in cellular metabolism, but it is largely unknown whether tracking these can improve disease stratification or affect treatment decisionsrecently sampled aerosols from burning specimens using iKnife, and researchers demonstrated a new real-timediagnosticmodel that couples metabolic phenotypes with the mutated PIK3CA genotypeTumor PIK3CA leads to an increase in peanut tetraoleic acid, accompanied by overproduction of twenties, which promotes cell proliferation beyond the cell's autonomous approachin the mechanism, the mutant PIK3CA drives a multi-mode signal network involving the activation of mTORC2-PKC-mediated calcium-dependent phospholipase A2 (cPLA2)it is worth noting that inhibiting the synergy of cPLA2 with fatty acid-free diet can restoreimmuno
progenitor and selectively reduce tumor occurrence induced by the mutant PIK3CAIn addition to highlighting the potential of metabolic phenotypes in stratified medicine, the study also revealed the important role of activated PI3K signals in regulating the metabolism of peanut tetraoleic acid, revealing a targeted metabolic vulnerability that relies heavily on dietary fat restrictions