BACKGROUND: Multiple studies have suggested that lncRNAs and pyroptosis play important roles in ovarian cancer (OC). However, the function of pyroptosis-related lncRNAs (PRLs) in OC is not fully understood. METHODS: Clinical information and RNA-seq data of OC patients (n = 379) were collected from TCGA database. Pearson correlation analysis and univariate Cox analysis were performed to identify prognostic PRLs, respectively. LASSO-COX regression was utilized to construct a prognostic PRLs signature. Kaplan-Meier (K-M) curve analyses and receiver operating characteristics (ROC) were used to evaluate the prognostic prediction of the signature. The association between risk score and tumor microenvironment infiltration, immunotherapy response and chemotherapy sensitivity were also analyzed. In addition, the function of TYMSOS on OC and pyroptosis was experimentally confirmed in cell lines. RESULTS: Firstly, 32 prognostic PRLs were identified, and a novel prognostic PRLs signature was constructed and validated. Surprisingly, the prognostic PRLs signature could solidly predict the clinical outcome of patients with OC and patients with high-risk score shown a short overall survival. GSEA results suggested that the RPLs were mainly enriched in the inflammatory response pathway, p53 pathway, TGF-β signaling and TNFα signaling. Besides, our results demonstrated that the risk score was significantly associated with patients with immune infiltration, immunotherapy response and the sensitivity of veliparib and metformin. Furthermore, the oncogene effect of TYMSOS on OC by inhibiting pyroptosis was verified by experiments. CONCLUSION: This study found that the prognostic PRLs signature may serve as an efficient biomarker in predicting the prognosis, tumor microenvironment infiltration, and sensitivity of chemotherapeutic agents. TYMSOS is a potential biomarker in OC, and it might promote tumor progression by inhibiting pyroptosis.
A Pyroptosis-Related LncRNA Signature for Predicting Prognosis, Immune Features and Drug Sensitivity in Ovarian Cancer.
卵巢癌中与细胞焦亡相关的长链非编码RNA特征可用于预测预后、免疫特征和药物敏感性
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作者:Liu Po-Wu, Liu Zhao-Yi, Deng Shi-Jia, Zhang Xiu, Wang Zhi-Bin, Wu Na-Yiyuan, Liu Chao-Shui, Hu Ming-Hua, Wang Jing, Li He
| 期刊: | Oncotargets and Therapy | 影响因子: | 2.800 |
| 时间: | 2025 | 起止号: | 2025 Apr 23; 18:585-601 |
| doi: | 10.2147/OTT.S491130 | 研究方向: | 细胞生物学 |
| 疾病类型: | 卵巢癌 | ||
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