ArticleACS measurement science au2026
Label-Free SERS Analysis of Glioma Cells to Detect Drug Resistance Using Metabolic Phenylalanine Level.
Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Glioma is one of the most common malignant brain tumors, and its mainstream clinical treatment regimens mainly include postoperative combined with Temozolomide chemotherapy. Unfortunately, glioma cells tend to mutate when subjected to prolonged Temozolomide treatment, leading to drug resistance and significantly weakening the therapeutic effect. Delaying the resistance time of Temozolomide has become a pressing issue for clinicians to address, and the primary regimen for delaying drug resistance is the combined application of Temozolomide with other therapies. To explore new molecular diagnostic markers of drug resistance in glioma and to assess treatment stage, surface-enhanced Raman spectroscopy (SERS) was used to investigate changes in glioma cells under combined therapies including physical (electrical stimulation, ES) and chemical (cancer drug: Temozolomide) treatments. By analyzing intensity changes in the SERS band at 997 cm
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