生物
夏普
基因
乳腺癌
癌基因
遗传学
癌症
计算生物学
癌症研究
细胞周期
程序性细胞死亡
半胱氨酸蛋白酶
细胞凋亡
作者
Qiuchen Qi,Mengqian Zhu,Peilong Li,Qi Mi,Yan Xie,Juan Li,Chuanxin Wang
出处
期刊:Gene
[Elsevier]
日期:2024-03-11
卷期号:912: 148355-148355
标识
DOI:10.1016/j.gene.2024.148355
摘要
Breast cancer (BC) is the most prevalent malignant disease affecting women globally. PANoptosis, a novel form of cell death combining features of pyroptosis, apoptosis, and necroptosis, has recently gained attention. However, its precise function in BC and the predictive values of PANoptosis-related genes remain unclear.We used the expression data and clinical information of BC tissues or normal breast tissues from public databases, and then successfully developed and verified a BC PANoptosis-related risk model through a combination of univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and Kaplan-Meier (KM) analysis. A nomogram was constructed to estimate survival probability, and its accuracy was assessed using calibration curves.Among 37 PANoptosis-related genes, we identified 4 differentially expressed genes related to overall survival (OS). Next, a risk model incorporating these four PANoptosis-related genes was established. Patients were stratified into low/high-risk groups based on the median risk score, with the low-risk group showing better prognoses and higher levels of immune infiltration. Utilizing the risk score and clinical features, we developed a nomogram to predict 1-, 3- and 5-year survival probability. X-linked inhibitor of apoptosis protein (XIAP) emerged as a potentially risky factor with the highest hazard ratio. In vitro experiments demonstrated that XIAP inhibition enhances the antitumor effect of doxorubicin through the PANoptosis pathway.PANoptosis holds an important role in BC prognosis and treatment.
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