Li Jianyi, Hu Chuan, Du Yukun, Tang Xiaojie, Shao Cheng, Xu Tongshuai, Zhao Zheng, Hu Huiqiang, Sheng Yingyi, Guo Jianwei, Xi Yongming
Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Department of Spinal Surgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Front Oncol. 2021 Jan 7;10:599816. doi: 10.3389/fonc.2020.599816. eCollection 2020.
Iron is one of the essential trace elements in the human body. An increasing amount of evidence indicates that the imbalance of iron metabolism is related to the occurrence and development of cancer. Here, we obtained the gene expression and clinical data of sarcoma patients from TCGA and the GEO database. The prognostic value of iron metabolism-related genes (IMRGs) in patients with sarcoma and the relationship between these genes and the immune microenvironment were studied by comprehensive bioinformatics analyses. Two signatures based on IMRGs were generated for the overall survival (OS) and disease-free survival (DFS) of sarcoma patients. At 3, 5, and 7 years, the areas under the curve (AUCs) of the OS signature were 0.708, 0.713, and 0.688, respectively. The AUCs of the DFS signature at 3, 5, and 7 years were 0.717, 0.689, and 0.702, respectively. Kaplan-Meier survival analysis indicated that the prognosis of high-risk patients was worse than that of low-risk patients. In addition, immunological analysis showed that there were different patterns of immune cell infiltration among patients in different clusters. Finally, we constructed two nomograms that can be used to predict the OS and DFS of sarcoma patients. The C-index was 0.766 (95% CI: 0.697-0.835) and 0.763 (95% CI: 0.706-0.820) for the OS and DFS nomograms, respectively. Both the ROC curves and the calibration plots showed that the two nomograms have good predictive performance. In summary, we constructed two IMRG-based prognostic models that can effectively predict the OS and DFS of sarcoma patients.
铁是人体必需的微量元素之一。越来越多的证据表明，铁代谢失衡与癌症的发生和发展有关。在此，我们从TCGA和GEO数据库中获取了肉瘤患者的基因表达和临床数据。通过综合生物信息学分析，研究了铁代谢相关基因（IMRGs）在肉瘤患者中的预后价值以及这些基因与免疫微环境之间的关系。基于IMRGs生成了两个用于预测肉瘤患者总生存期（OS）和无病生存期（DFS）的特征。在3年、5年和7年时，OS特征的曲线下面积（AUCs）分别为0.708、0.713和0.688。DFS特征在3年、5年和7年时的AUCs分别为0.717、0.689和0.702。Kaplan-Meier生存分析表明，高危患者的预后比低危患者差。此外，免疫分析显示不同聚类的患者之间存在不同模式的免疫细胞浸润。最后，我们构建了两个可用于预测肉瘤患者OS和DFS的列线图。OS列线图和DFS列线图的C指数分别为0.766（95%CI：0.697 - 0.835）和0.763（95%CI：0.706 - 0.820）。ROC曲线和校准图均显示这两个列线图具有良好的预测性能。综上所述，我们构建了两个基于IMRGs的预后模型，可有效预测肉瘤患者的OS和DFS。
