Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Breast cancer (BC) is the most commonly diagnosed cancer in women globally. Natural killer (NK) cells play a vital role in tumour immunosurveillance. This study aimed to establish a prognostic model using NK cell-related genes (NKRGs) by integrating single-cell transcriptomic data with machine learning. We identified 44 significantly expressed NKRGs involved in cytokine and T cell-related functions. Using 101 machine learning algorithms, the Lasso + RSF model showed the highest predictive accuracy with nine key NKRGs. We explored cell-to-cell communication using CellChat, assessed immune-related pathways and tumour microenvironment with gene set variation analysis and ssGSEA, and observed immune components by HE staining. Additionally, drug activity predictions identified potential therapies, and gene expression validation through immunohistochemistry and RNA-seq confirmed the clinical applicability of NKRGs. The nomogram showed high concordance between predicted and actual survival, linking higher tumour purity and risk scores to a reduced immune score. This NKRG-based model offers a novel approach for risk assessment and personalized treatment in BC, enhancing the potential of precision medicine.

Impact of evidence-based nursing on postoperative psychological state, quality of life, and function of affected limbs in breast cancer patients: An observational study.

To analyze the effect of evidence-based nursing on postoperative psychological state, quality of life, and function of affected limbs in breast cancer (BC) patients. This study is a retrospective analysis. The clinical data of 122 BC patients in our hospital were selected and divided into evidence-based group and routine group according to different nursing programs. Patients in evidence-based group received evidence-based nursing, and patients in the conventional group received routine nursing intervention. The acceptance level of BC diagnosis in evidence-based group was significantly higher than that in the conventional group, showing statistical significance (P < .05). After intervention, Self-rating Anxiety Scale and Self-rating Depression Scale scores of both groups were significantly reduced, and the Self-rating Anxiety Scale and Self-rating Depression Scale scores in evidence-based group were significantly lower than those in conventional group, showing statistically significant difference (P < .05); Self-Esteem Scale scores were significantly increased in both groups after intervention, and the scores in evidence-based group were significantly higher than those in conventional group, showing statistically significant difference (P < .05). After intervention, in evidence-based group, the proportion of patients without edema was significantly increased, while the proportion of patients with mild, moderate and severe edema was significantly decreased, exhibiting statistically significant difference (P < .05). After intervention, the circumference difference of the healthy side and the affected side decreased significantly, which was much lower in evidence-based group, showing statistically significant difference (P < .05). After intervention, range of motion of the upper limbs increased significantly between the 2 groups, which was much higher in evidence-based group, exhibiting statistical significance (P < .05). The scores of quality of life (role, emotion, body, cognition and society dimension) in evidence-based group were higher than those in conventional group, exhibiting statistically significant difference (P < .05). Evidence-based nursing can develop more targeted nursing measures according to patients' problems, thus effectively promoting the recovery of upper limb function of BC patients after surgery.

Efficacy and Safety of a Self-Improved Continuous Bladder Irrigation Sensor Device in Patients after Transurethral Resection of the Prostate: A Prospective Study.

Purpose To explore the efficacy and safety of a self-improved continuous bladder irrigation (CBI) sensor device after transurethral resection of the prostate (TURP). Materials and Methods A total of 160 patients with benign prostatic hyperplasia who received TURP from June 2021 to May 2022 were selected. According to the envelope randomization method, patients were divided into a control group (80 cases) and study group (80 cases). In the control group, the speed of bladder flushing fluid was adjusted according to the clinical experience of nurses. On the basis of the control group, the self-improved CBI sensor device was used in the study group to observe the postoperative comfort and complication rate in the two groups. Results The comfort of patients in the study group was significantly higher than that of patients in the control group (97.50% vs. 88.75%, P = .023), and the number of postoperative complications in the control group was significantly higher than that in the study group (8.75% vs. 1.25%, P = .021). Meanwhile, the average amount of irrigation fluid in the study group was obviously lower than that in the control group (26.4 L vs. 27.8 L, P = .011). In addition, patients in the study group had a significantly shorter hospital stay than the controls (3.3 days vs. 3.6 days, P = .005). Conclusion Implementation of the new self-improved CBI sensor device for patients after TURP can improve their awareness regarding disease-related knowledge, alleviate their fear and anxiety, improve their compliance and comfort with treatment and nursing, and reduce the incidence of complications.