A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients
Breast cancer is the second leading cause of death in women, thus a reliable prognostic model for overall survival (OS) in breast cancer is needed to improve treatment and care. Ferroptosis is an iron-dependent cell death. It is already known that siramesine and lapatinib could induce ferroptosis in...
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doaj-8aa136d4f52a4827821d6e58248d70052021-02-15T00:03:32ZengMDPI AGBiology2079-77372021-02-011015115110.3390/biology10020151A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer PatientsHaifeng Li0Lu Li1Cong Xue2Riqing Huang3Anqi Hu4Xin An5Yanxia Shi6Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaBreast cancer is the second leading cause of death in women, thus a reliable prognostic model for overall survival (OS) in breast cancer is needed to improve treatment and care. Ferroptosis is an iron-dependent cell death. It is already known that siramesine and lapatinib could induce ferroptosis in breast cancer cells, and some ferroptosis-related genes were closely related with the outcomes of treatments regarding breast cancer. The relationship between these genes and the prognosis of OS remains unclear. The data of gene expression and related clinical information was downloaded from public databases. Based on the TCGA-BRCA cohort, an 8-gene prediction model was established with the least absolute shrinkage and selection operator (LASSO) cox regression, and this model was validated in patients from the METABRIC cohort. Based on the median risk score obtained from the 8-gene model, patients were stratified into high- or low-risk groups. Cox regression analyses identified that the risk score was an independent predictor for OS. The findings from CIBERSORT and ssGSEA presented noticeable differences in enrichment scores for immune cells and pathways between the abovementioned two risk groups. To sum up, this prediction model has potential to be widely applied in future clinical settings.https://www.mdpi.com/2079-7737/10/2/151breast cancerferroptosisgene signatureprognosisimmune status |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haifeng Li Lu Li Cong Xue Riqing Huang Anqi Hu Xin An Yanxia Shi |
spellingShingle |
Haifeng Li Lu Li Cong Xue Riqing Huang Anqi Hu Xin An Yanxia Shi A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients Biology breast cancer ferroptosis gene signature prognosis immune status |
author_facet |
Haifeng Li Lu Li Cong Xue Riqing Huang Anqi Hu Xin An Yanxia Shi |
author_sort |
Haifeng Li |
title |
A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients |
title_short |
A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients |
title_full |
A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients |
title_fullStr |
A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients |
title_full_unstemmed |
A Novel Ferroptosis-Related Gene Signature Predicts Overall Survival of Breast Cancer Patients |
title_sort |
novel ferroptosis-related gene signature predicts overall survival of breast cancer patients |
publisher |
MDPI AG |
series |
Biology |
issn |
2079-7737 |
publishDate |
2021-02-01 |
description |
Breast cancer is the second leading cause of death in women, thus a reliable prognostic model for overall survival (OS) in breast cancer is needed to improve treatment and care. Ferroptosis is an iron-dependent cell death. It is already known that siramesine and lapatinib could induce ferroptosis in breast cancer cells, and some ferroptosis-related genes were closely related with the outcomes of treatments regarding breast cancer. The relationship between these genes and the prognosis of OS remains unclear. The data of gene expression and related clinical information was downloaded from public databases. Based on the TCGA-BRCA cohort, an 8-gene prediction model was established with the least absolute shrinkage and selection operator (LASSO) cox regression, and this model was validated in patients from the METABRIC cohort. Based on the median risk score obtained from the 8-gene model, patients were stratified into high- or low-risk groups. Cox regression analyses identified that the risk score was an independent predictor for OS. The findings from CIBERSORT and ssGSEA presented noticeable differences in enrichment scores for immune cells and pathways between the abovementioned two risk groups. To sum up, this prediction model has potential to be widely applied in future clinical settings. |
topic |
breast cancer ferroptosis gene signature prognosis immune status |
url |
https://www.mdpi.com/2079-7737/10/2/151 |
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