ArticleTranslational cancer research2022
Analysis and prediction model of ferroptosis related genes in breast cancer.
Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Recent exploration of inorganic sonosensitizers for sonodynamic therapy of tumors.RSC advances · 2025Review
- Ferroptosis biomarkers predict tumor mutation burden's impact on prognosis in HER2-positive breast cancer.World journal of clinical oncology · 2024Article
- Comprehensive analysis of IGF2BP3 with expression features, prognosis, immune modulation and stemness in hepatocellular carcinoma and pan-cancer.Journal of Cancer · 2024Article
- Targeting the initiator to activate both ferroptosis and cuproptosis for breast cancer treatment: progress and possibility for clinical application.Frontiers in pharmacology · 2024Review
- Identification of ferroptosis-related genes in ulcerative colitis: a diagnostic model with machine learning.Annals of translational medicine · 2023Article
- Engineering Fe/Mn-doped zinc oxide nanosonosensitizers for ultrasound-activated and multiple ferroptosis-augmented nanodynamic tumor suppression.Materials today. Bio · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The prognosis of patients with breast cancer (BRCA) is difficult to predict because of the high degree of heterogeneity and complex etiological factors. Ferroptosis, an iron-dependent, new form of cell death, plays an important role in regulation of tumor growth and progression. The aim of this study was to clarify the predictive value of ferroptosis-related genes in the overall survival of patients with BRCA. Methods: The messenger RNA expression profile and clinical information of patients with BRCA were collected from The Cancer Genome Atlas (TCGA) database. The differences between BRCA and adjacent normal tissues were analyzed, and candidates with differentially expressed ferroptosis-related genes were identified. Through Cox and LASSO analyses, the prognostic genetic characteristics of ferroptosis-related genes were established. Lastly, according to the median risk score, the patients were divided into high-risk and low-risk groups, a nomogram was constructed, and the prediction accuracy was tested. Results: It was determined that the four ferroptosis related genes had a significant difference in survival in BRCA (P<0.05); a prognostic model was constructed based on the four ferroptosis related genes, and the overall survival of patients in the high-risk group was significantly worse (P<0.05). The four-gene nomogram can quantify the contribution of each index to survival, and the calibration chart shows high prediction accuracy. Conclusions: This study constructed four ferroptosis related gene characteristics and nomogram, which can effectively predict the prognosis of BRCA patients and provide new insights for future anti-cancer treatments based on ferroptosis targets.
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