We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Identification of the prognostic value of ferroptosis-related gene signature in breast cancer patients.
- Authors
Ding Wang; Guodong Wei; Ju Ma; Shuai Cheng; Longyuan Jia; Xinyue Song; Ming Zhang; Mingyi Ju; Lin Wang; Lin Zhao; Shijie Xin; Wang, Ding; Wei, Guodong; Ma, Ju; Cheng, Shuai; Jia, Longyuan; Song, Xinyue; Zhang, Ming; Ju, Mingyi; Wang, Lin
- Abstract
<bold>Background: </bold>Breast cancer (BRCA) is a malignant tumor with high morbidity and mortality, which is a threat to women's health worldwide. Ferroptosis is closely related to the occurrence and development of breast cancer. Here, we aimed to establish a ferroptosis-related prognostic gene signature for predicting patients' survival.<bold>Methods: </bold>Gene expression profile and corresponding clinical information of patients from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. The Least absolute shrinkage and selection operator (LASSO)-penalized Cox regression analysis model was utilized to construct a multigene signature. The Kaplan-Meier (K-M) and Receiver Operating Characteristic (ROC) curves were plotted to validate the predictive effect of the prognostic signature. Gene Ontology (GO) and Kyoto Encyclopedia of Genes, Genomes (KEGG) pathway and single-sample gene set enrichment analysis (ssGSEA) were performed for patients between the high-risk and low-risk groups divided by the median value of risk score.<bold>Results: </bold>We constructed a prognostic signature consisted of nine ferroptosis-related genes (ALOX15, CISD1, CS, GCLC, GPX4, SLC7A11, EMC2, G6PD and ACSF2). The Kaplan-Meier curves validated the fine predictive accuracy of the prognostic signature (p < 0.001). The area under the curve (AUC) of the ROC curves manifested that the ferroptosis-related signature had moderate predictive power. GO and KEGG functional analysis revealed that immune-related responses were largely enriched, and immune cells, including activated dendritic cells (aDCs), dendritic cells (DCs), T-helper 1 (Th1), were higher in high-risk groups (p < 0.001). Oppositely, type I IFN response and type II IFN response were lower in high-risk groups (p < 0.001).<bold>Conclusion: </bold>Our study indicated that the ferroptosis-related prognostic signature gene could serve as a novel biomarker for predicting breast cancer patients' prognosis. Furthermore, we found that immunotherapy might play a vital role in therapeutic schedule based on the level and difference of immune-related cells and pathways in different risk groups for breast cancer patients.
- Publication
BMC Cancer, 2021, Vol 21, Issue 1, p1
- ISSN
1471-2407
- Publication type
journal article
- DOI
10.1186/s12885-021-08341-2