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RUNX Family Regulated Immune-related Genes Predict the Prognosis of Breast Cancer
  • +4
  • Jingyue Fu,
  • Feng Xu,
  • Rui Chen,
  • Jinhui Liu,
  • Jiaying Li,
  • Xinyang Wang,
  • Tiansong Xia
Jingyue Fu
Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital
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Feng Xu
Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital
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Rui Chen
Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital
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Jinhui Liu
Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital
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Jiaying Li
Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital
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Xinyang Wang
Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital
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Tiansong Xia
Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital

Corresponding Author:[email protected]

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Abstract

Background Breast cancer is the most common malignant tumor in women due to the disorder of genes and hormones. RUNX family has been involved in the regulation of different carcinogenic processes and signaling pathways with cancer, which is closely related to immunity and prognosis of breast cancer patients. Methods We evaluated the relationship between RUNX family and immune-related genes and the prognosis of breast cancer through analyzing TCGA database. A prognostic model was established and verified via cox proportional hazards regression model using R packages. Then, we obtained the relationship between the RUNX family and immune infiltration by TIMER database. Results The expression levels of RUNX family in tumor tissues were higher than that in normal breast tissues. We screened RUNX-regulated immune-related gene associated with breast cancer prognosis. RUNX family-regulated immune-related genes associated with the prognosis of breast cancer were screened. These predictors included PSME2, ULBP2, IL-18, TSLP, NPR3, TRDV1. And then a prognosis-related risk score model was built using the independent risk factors to provide a clinically appropriate method predicting the OS probability of the patients with breast cancer. The prognostic model we constructed performed well in the prognostic forecast, it could promote the development of prognostic assessment, and was associated with lower immune infiltration. Conclusion RUNX family could modulate the functions of immune cells, and these immune-related genes regulated by RUNX family could be promising prognostic biomarkers and therapeutic targets in breast cancer.