Pyroptosis-related lncRNAs are potential biomarkers for predicting prognoses and immune responses in patients with UCEC.
Pyroptosis-related lncRNAs are potential biomarkers for predicting prognoses and immune responses in patients with UCEC.
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DOI：
10.1016/j.omtn.2022.01.018
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发表时间：
2022-03-08
期刊：
影响因子：
--
通讯作者：
Bai J
中科院分区：
文献类型：
--
作者：
Liu J;Geng R;Ni S;Cai L;Yang S;Shao F;Bai J
子宫体子宫内膜癌（UCEC）是一种全球性恶性疾病，目前尚无统一的预后特征。在我们的研究中，确定了两个集群。集群1表现出更好的预后和更高的浸润水平，例如肿瘤微环境（TME）、肿瘤突变负荷（TMB）和免疫检查点基因表达。基因集富集分析（GSEA）表明一些肿瘤相关通路和免疫相关通路被暴露。更重要的是，应用六种与细胞焦亡相关的长非编码 RNA (lncRNA) (PRL) 通过多重 Cox 回归分析建立预后特征。在训练和测试集中，风险评分较高的患者比低风险患者的生存期更差。受试者工作特征（ROC）曲线的曲线下面积（AUC）表明风险评分较低的人的生存概率较好。机制分析表明，高风险评分与免疫浸润减少和 T 细胞耗竭相关，符合“免疫沙漠”表型的定义。与高风险评分的患者相比，低风险评分的患者具有较高的免疫检查点基因表达和TMB，并且对免疫治疗和化疗具有敏感的反应。该特征具有准确预测UCEC的能力，是提高免疫治疗效果的有前景的治疗靶点。本研究基于焦亡相关 lncRNA 构建并验证了预后特征。该模型可以准确预测UCEC患者的预后，是提高免疫治疗效果的有前景的治疗靶点。它有助于 UCEC 患者免疫疗法的发展。
Uterine corpus endometrial carcinoma (UCEC) is a malignant disease globally, and there is no unified prognostic signature at present. In our study, two clusters were identified. Cluster 1 showed better prognosis and higher infiltration level, such as tumor microenvironment (TME), tumor mutation burden (TMB), and immune checkpoint genes expression. Gene set enrichment analysis (GSEA) indicated that some tumor-related pathways and immune-associated pathways were exposed. What is more, six pyroptosis-related long noncoding RNAs (lncRNAs) (PRLs) were applied to establish a prognostic signature through multiple Cox regression analysis. In both training and testing sets, patients with higher risk score had poorer survival than patients with low risk. The area under the curve (AUC) of receiver operating characteristic (ROC) curves performed that the survival probability was better in people with lower risk score. Mechanism analysis revealed that high risk score was correlated with reduced immune infiltration and T cells exhaustion, matching the definition of an “immune-desert” phenotype. Patients with lower risk score were characterized by higher immune checkpoint gene expression and TMB and have a sensitive response to immunotherapy and chemotherapy compared with patients with high risk score. The signature has accurate prediction ability of UCEC and is a promising therapeutic target to improve the effect of immunotherapy. This research constructed and verified a prognostic signature on the basis of pyroptosis-related lncRNAs. The model can accurately predict the prognosis of UCEC patients and is a promising therapeutic target to improve the effect of immunotherapy. It contributes to the development of immunotherapy in patients with UCEC.
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影响因子：
6.4
作者：
Diaz, Giacomo;Melis, Marta;Tice, Ashley;Kleiner, David E.;Mishra, Lopa;Zamboni, Fausto;Farci, Patrizia
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Farci, Patrizia
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