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. 2024 Oct 23;15:1460607. doi: 10.3389/fimmu.2024.1460607

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Copyright © 2024 Hou, Li, Chong, Yin, Guo, Yang, Li and Yin

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Screening for key NKRGs of importance to BRCA prognosis. (A-F) The machine learning method identified KLRB1 and CCND2 as key NKRGs in three cohorts. (G) Time-dependent ROC curves assessed the diagnostic accuracy of signature NKRGs. (H, I) Survival curves of BRCA patients with different KLRB1 or CCND2 levels in the TCGA-BRCA cohort. (J) Survival curves of BRCA patients with different KLRB1 levels in validation cohorts. (K) Survival curves of BRCA patients with different CCND2 levels in validation cohorts.