Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.

As shown in Supplementary Figure S4 , we observed an increasing trend in the risk score in patients with pathological stage IV, and it was higher in the M1 stage compared to the M0 stage (p<0.05), suggesting that the risk score effectively reflects the severity of the disease, particularly in relation to features associated with distant metastasis.

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