This review focuses on the critical role of amino acid metabolism in breast cancer development and progression. It explains how cancer cells reprogram amino acid usage—especially glutamine, serine, glycine, aspartate, arginine, and tryptophan—to support proliferation, survival, immune evasion, and metastasis. The review emphasizes metabolic heterogeneity among different breast cancer subtypes and explores therapeutic strategies targeting these pathways.

Chemists have discovered for the first time a unique way to control and modify a type of compound widely used in medicines, including a drug used to treat breast cancer.

Amplification-free, highly sensitive, and specific nucleic acid detection is crucial for health monitoring and diagnosis. The type III CRISPR-Cas10 system, which provides viral immunity through CRISPR-associated protein effectors, enables a new amplification-free nucleic acid diagnostic tool. In this study, we develop a CRISPR-graphene field-effect transistors (GFETs) biosensor by combining the type III CRISPR-Cas10 system with GFETs for direct nucleic acid detection. This biosensor exploits the target RNA-activated continuous ssDNA cleavage activity of the dCsm3 CRISPR-Cas10 effector and the high charge density of a hairpin DNA reporter on the GFET channel to achieve label-free, amplification-free, highly sensitive, and specific RNA detection. The CRISPR-GFET biosensor exhibits excellent performance in detecting medium-length RNAs and miRNAs, with detection limits at the aM level and a broad linear range of 10^-15 to 10^-11 M for RNAs and 10^-15 to 10^-9 M for miRNAs. It shows high sensitivity in throat swabs and serum samples, distinguishing between healthy individuals (N = 5) and breast cancer patients (N = 6) without the need for extraction, purification, or amplification. This platform mitigates risks associated with nucleic acid amplification and cross-contamination, making it a versatile and scalable diagnostic tool for molecular diagnostics in human health.

The study investigates the interaction between the human epidermal growth receptor 2 (HER2) and amygdalin, a compound found in peaches, almonds, and apples. To assess the potential of amygdalin, the interaction between HER2 and amygdalin was explored using molecular docking and molecular dynamics simulations. Binding energies were evaluated for both the crystal and equilibrated HER2 structures. The effects of water on binding were also assessed. Molecular dynamics simulations analyzed structural changes in HER2, including interdomain distances, hydrogen bond fluctuations, dihedral angle shifts, and residue-residue distances at the dimerization arm. The free energy landscape was constructed to evaluate stability. Binding energies of −33.472 ​kJ/mol and −36.651 ± 0.867 ​kJ/mol were observed for the crystal and equilibrated HER2 structures, respectively, with water further enhancing binding to −41.212,4 ​± ​1.272,7 and −53.513 ± 1.452,3 ​kJ/mol. Molecular dynamics simulations revealed significant conformational changes in HER2, including a reduction in interdomain distance, fluctuations in hydrogen bond lengths, and a shift in dihedral angles from 60° to −30°. The residue-residue distance at the dimerization arm decreased, indicating conformational changes upon binding. The free energy landscape showed a deeper and more defined minimum in the bound state, reflecting enhanced stability. These findings highlight amygdalin’s potential as a therapeutic agent targeting HER2.