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pmid:33090721
Identification of a 9-gene prognostic signature for breast cancer.
Zelin Tian · Jianing Tang · Xing Liao · Qian Yang · Yumin Wu · Gaosong Wu
Cancer medicine · 2020 doi:10.1002/cam4.3523
Paper
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Experiment
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Data
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Complete file
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GSE20685, GSE42568, GSE20711, and GSE88770 were used as training sets. The Kaplan-Meier plot was constructed to assess survival differences and log-rank test was performed to evaluate the statistical significance. The overall survival (OS) of patients in the low-risk group was significantly higher than that in the high-risk group. ROC analysis indicated that this 9-gene signature shows good diagnostic efficiency both in OS and disease-free survival (DFS). The 9-gene signature was further validated through GSE16446, GSE7390, and TCGA-BRCA datasets. We also established a nomogram that integrates clinicopathological features and 9-gene signature. The analysis of the calibration plot showed that the nomogram has good prognostic performance. More convincingly, real-time reverse transcription-polymerase chain reaction (RT-PCR) results indicated that the protective prognostic factors in BRCA patients were downregulated, whereas the dangerous prognostic factors were upregulated. 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(0.414‐14.300)", "0.843", "", ""], ["Grade", "I/III", "13/68", "2.433(0.571‐10.360)", "0.229", "", ""], ["ER", "−/+", "43/42", "0.557(0.245‐1.265)", "0.162", "", ""], ["HER2", "−/+", "61/24", "2.533(1.146‐5.597)", "0.021", "1.412(0.606‐3.290)", "0.424"], ["Risk score", "Low/High", "42/43", "4.378(1.739‐11.020)", "0.001", "3.857(1.522‐9.772)", "0.012"], ["GSE88770"], ["Nodes", "−/+", "62/47", "2.455(1.100‐5.476)", "0.028", "2.338(1.035‐5.280)", "0.041"], ["Grade", "I/II", "13/90", "2.190(0.513‐9.338)", "0.290", "", ""], ["ER", "−/+", "11/98", "0.997(0.338‐2.937)", "0.996", "", ""], ["Ki67(%)", "~15/15 ~ 30", "71/23", "3.565(1.525‐8.333)", "0.003", "3.160(1.344‐7.429)", "0.008"], ["Ki67(%)", "~15/30~", "71/15", "1.827(0.642‐5.200)", "0.259", "1.515(0.527‐4.358)", "0.441"], ["Risk score", "Low/High", "54/55", "3.263(1.418‐7.509)", "0.005", "2.860(1.239‐6.600)", "0.014"]], "row_count": 30, "column_count": 7, "numeric_cells": 114, "header_rows": 2, "locator": 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