Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer
Breast cancer (BC) is the most commonly diagnosed cancer and second leading cause of cancer-related death in women worldwide. Ferroptosis, an iron-dependent newly discovered mode of cell death, can be induced by lenaltinib and plays an important role in the biological behaviors of BC. Therefore, the...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2022/6871518 |
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| author | Jiahao Zhu Qingqing Chen Ke Gu You Meng Shengjun Ji Yutian Zhao Bo Yang |
| author_facet | Jiahao Zhu Qingqing Chen Ke Gu You Meng Shengjun Ji Yutian Zhao Bo Yang |
| author_sort | Jiahao Zhu |
| collection | DOAJ |
| description | Breast cancer (BC) is the most commonly diagnosed cancer and second leading cause of cancer-related death in women worldwide. Ferroptosis, an iron-dependent newly discovered mode of cell death, can be induced by lenaltinib and plays an important role in the biological behaviors of BC. Therefore, the prognostic value of ferroptosis-related genes (FRGs) in BC warrants further investigation. FRG expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO). Immune-related pathways were found in the functional analysis. Significant differences in enrichment scores for immune cells were observed. Some patients from TCGA-BRCA were included as the training cohort. A six-gene prediction signature was constructed with the least absolute shrinkage and selection operator Cox regression. This model was validated in the rest of the TCGA-BRCA and GEO cohort. The expressions of the six FRGs were verified with real-time quantitative polymerase chain reaction and immunohistochemistry in the Human Protein Atlas. Relapse or metastasis was more likely in the high-risk group. Risk score was an independent predictor of disease-free survival. Collectively, the ferroptosis-related risk model established in this study may serve as an effective tool to predict the prognosis in BC. |
| format | Article |
| id | doaj-art-1026514443df42d6af7b886b2959566d |
| institution | Kabale University |
| issn | 2314-7156 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Immunology Research |
| spelling | doaj-art-1026514443df42d6af7b886b2959566d2025-02-03T01:07:56ZengWileyJournal of Immunology Research2314-71562022-01-01202210.1155/2022/6871518Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast CancerJiahao Zhu0Qingqing Chen1Ke Gu2You Meng3Shengjun Ji4Yutian Zhao5Bo Yang6Department of Radiotherapy and OncologyDepartment of Radiotherapy and OncologyDepartment of Radiotherapy and OncologyDepartment of Breast SurgeryDepartment of Radiotherapy and OncologyDepartment of Radiotherapy and OncologyDepartment of Radiotherapy and OncologyBreast cancer (BC) is the most commonly diagnosed cancer and second leading cause of cancer-related death in women worldwide. Ferroptosis, an iron-dependent newly discovered mode of cell death, can be induced by lenaltinib and plays an important role in the biological behaviors of BC. Therefore, the prognostic value of ferroptosis-related genes (FRGs) in BC warrants further investigation. FRG expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO). Immune-related pathways were found in the functional analysis. Significant differences in enrichment scores for immune cells were observed. Some patients from TCGA-BRCA were included as the training cohort. A six-gene prediction signature was constructed with the least absolute shrinkage and selection operator Cox regression. This model was validated in the rest of the TCGA-BRCA and GEO cohort. The expressions of the six FRGs were verified with real-time quantitative polymerase chain reaction and immunohistochemistry in the Human Protein Atlas. Relapse or metastasis was more likely in the high-risk group. Risk score was an independent predictor of disease-free survival. Collectively, the ferroptosis-related risk model established in this study may serve as an effective tool to predict the prognosis in BC.http://dx.doi.org/10.1155/2022/6871518 |
| spellingShingle | Jiahao Zhu Qingqing Chen Ke Gu You Meng Shengjun Ji Yutian Zhao Bo Yang Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer Journal of Immunology Research |
| title | Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer |
| title_full | Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer |
| title_fullStr | Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer |
| title_full_unstemmed | Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer |
| title_short | Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer |
| title_sort | correlation between ferroptosis related gene signature and immune landscape prognosis in breast cancer |
| url | http://dx.doi.org/10.1155/2022/6871518 |
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