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Introduction Gliomas have an inferior prognosis and urgently require new biomarkers and treatment strategies. Although some studies have explored the association between specific categories of programmed cell death (PCD) and glioma, research on the combined mechanism of PCD and its contribution to glioma development remains insufficient. This study aims to systematically investigate the role of lncRNAs in PCD in relation to the prognosis of glioma. Methods A prognostic risk model based on key lncRNAs was screened and constructed from multiple PCD pathways through bioinformatics analysis. And conduct a comprehensive analysis of its immune function and its effects. To validate the model, we selected the key molecule AC092718.4 for functional experiments. Results Our research indicates that AC092718.4 significantly alters the proliferative and invasive capabilities of glioma cells. Animal experiments further confirmed that it can promote tumor growth. Conclusion This study successfully constructed a robust PCD-related lncRNA prognostic model, providing a new tool for risk stratification in glioma patients and laying the groundwork for developing precision treatment strategies based on programmed cell death.
Wu et al. (Thu,) studied this question.