Constructing a Ferroptosis-Related LncRNA Prognostic Model Associated with the Therapy Response in Endometrial Cancer

作者全名："He, Changhui; Wang, Ting; Zhang, Wei; Zhao, Chenyang; Li, Na; Peng, Lixiu"

作者地址："[He, Changhui; Wang, Ting; Peng, Lixiu] Univ South China, Chenzhou 1 Peoples Hosp, Hengyang Med Sch, Hengyang 421001, Hunan, Peoples R China; [Zhang, Wei; Zhao, Chenyang; Li, Na; Peng, Lixiu] Chenzhou 1 Peoples Hosp, Dept Gynaecol, Chenzhou 423000, Hunan, Peoples R China; [Zhang, Wei] Chongqing Med Univ, Coll Biomed Engn, State Key Lab Ultrasound Med & Engn, Chongqing 400016, Peoples R China"

通信作者："Peng, LX (通讯作者)，Univ South China, Chenzhou 1 Peoples Hosp, Hengyang Med Sch, Hengyang 421001, Hunan, Peoples R China.; Peng, LX (通讯作者)，Chenzhou 1 Peoples Hosp, Dept Gynaecol, Chenzhou 423000, Hunan, Peoples R China."

来源：JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS

ESI学科分类：BIOLOGY & BIOCHEMISTRY

WOS号：WOS:000981992800001

JCR分区：Q4

影响因子：3.2

年份：2023

卷号：37

期号：3

开始页：1201

结束页：1214

文献类型：Article

关键词：endometrial cancer; ferroptosis; immunotherapy; prognostic model; long noncoding RNA

摘要："Background: Endometrial cancer (EC) is the most common malignancy in the female reproductive system in developed coun-tries and exhibits high heterogeneity. Our aim was to construct a ferroptosis-related lncRNA prognostic model to guide tailored treatment for EC patients.Methods: RNA-sequencing data and clinical information about EC were obtained from the cancer genome atlas (TCGA). A risk model was established by least absolute shrinkage and selection operator (LASSO) analysis. Subsequently, gene set enrichment analyses (GSEA) was applied to explore the differences in biological characteristics. Immune cells abundance profile was evalu-ated using different methods, including XCELL, MCPcounter, EPIC, TIMER, and CIBERSORT. The R package ""oncopredict"" was used to estimate drug sensitivity.Results: In this study, 35 normal samples and 500 tumor samples were included. Five lncRNAs (AC092969.1, AL356489.2, AP000757.1, AP001189.3, and LINC01936) were selected to compose the ferroptosis-related lncRNA prognostic model, which possessed better predictive ability than individual indicators to predict 5-year survival (AUC (area under the ROC curve) = 0.75). A nomogram for overall survival was established, which integrated risk score, stage, grade, and age. There was a higher proportion of TP53-mut subtype serous papillary carcinoma in high-risk group, poorly differentiated. Ferroptosis-related path-ways are significantly enriched in the GSEA of the low-risk group. We observed differences between low-risk and high-risk groups in their immune landscapes, immune checkpoint expression levels, drug sensitivity and mutation landscapes.Conclusions: The prognostic risk model is a reliable and robust predictor for survival outcomes in EC patients. It can identify patients that likely will derive benefit from immunotherapy and other drug therapies."

基金机构：Science and Technology Research Project of the Health Commission of Hunan Province [202205013004]

基金资助正文：Funding This research received funding from the Science and Technology Research Project of the Health Commission of Hunan Province (202205013004) .