Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma

Abstract

Qingen Da,1,2,* Mingming Ren,2,* Lei Huang,2 Jianhua Qu,1 Qiuhua Yang,3 Jiean Xu,4 Qian Ma,4 Xiaoxiao Mao,4 Yongfeng Cai,4 Dingwei Zhao,4 Junhua Luo,5 Zilong Yan,1 Lu Sun,2 Kunfu Ouyang,2 Xiaowei Zhang,6 Zhen Han,2 Jikui Liu,1 Tao Wang2 1Department of Hepatobiliary Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, People’s Republic of China; 2Department of Cardiovascular Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, People’s Republic of China; 3Vascular Biology Center, Department of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, GA, USA; 4Shenzhen Graduate School, Peking University, Shenzhen, People’s Republic of China; 5Department of Urological Surgery, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China; 6School of Basic Medical Sciences, Peking University, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jikui Liu, Department of Hepatobiliary Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, People’s Republic of China, Email [email protected] Tao Wang, Department of Cardiovascular Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, People’s Republic of China, Email [email protected]: We aimed to explore the prognostic patterns of ferroptosis-related genes in papillary renal cell carcinoma (PRCC) and investigate the relationship between ferroptosis-related genes and PRCC tumor immune microenvironment.Methods: We obtained the mRNA expression and corresponding clinical data of PRCC from the public tumor cancer genome atlas database (TCGA). The PRCC patients were randomly divided into two cohort, training cohort and verification cohort, respectively. Univariate Cox regression, LASSO Cox regression, multivariate Cox regression analysis were utilized to construct ferroptosis signature for PRCC patients. And then, risk prognostic model was established and verified. The correlation of ferroptosis-related signature with survival and immune microenvironment was systematically analyzed.Results: A 4-genes ferroptosis signature (CDKN1A, MIOX, PSAT1, and RRM2) was constructed. Multivariate Cox regression assay indicates that the risk score of ferroptosis signature was an independent prognostic indicator (HR=1.391, p< 0.001). The survival curve shows that the high-risk group has a poorer prognosis than the low-risk group (p< 0.001). The risk prognostic model was established based on prognostic factors of clinical-stage, hemoglobin, and risk score. The time-dependent receiver operating characteristic curve (ROC) analysis proves the predictive capacity of the ferroptosis signature, the 3 years area under the curve (AUC) is 0.890, and the 5 years AUC is 0.733. Further analysis suggested that cell cycle, pentose phosphate pathway, P53 signaling pathway were significantly enriched in the high-risk group. The significantly different fractions of dendritic cells resting, macrophage cells, and T cells follicular helper were observed in risk groups.Conclusion: This study implicates a ferroptosis signature which has a good predict capacity of the prognosis in PRCC patients. Ferroptosis-related genes may have a key role in the process of anti-tumor and serve as therapeutic targets for PRCC.Keywords: papillary renal cell carcinoma, ferroptosis, gene signature, prognosis model, tumor immune microenvironment

Keywords

• papillary renal cell carcinoma
• ferroptosis
• gene signature
• prognosis model
• tumor immune microenvironment