Prognostic factors analysis and nomogram construction of breast cancer patients lung metastases and bone metastases DOI Creative Commons

Mengya Feng,

Yihua Kang,

Sijia Li

и другие.

Surgery Open Science, Год журнала: 2025, Номер 26, С. 28 - 38

Опубликована: Апрель 23, 2025

To investigate the clinicopathological factors influencing lung and bone metastasis in breast cancer, to further construct a nomogram model for predicting risk of cancer patients at various time points, followed by prognostic analysis. The retrospective analysis included 200 with among whom 51 had metastases 57 metastases. remaining 92 without served as control group. Baseline characteristics were analyzed using chi-square test; COX univariate multivariate analyses applied explore factors. A was constructed predict individuals developing or 1, 3, 5 years. predictive validated ROC curves calibration curves, decision plotted assess clinical application value model. Analysis revealed that age, BMI, tumor size, lymph node status, ER, PR, HER-2, Ki67 significantly influenced (P < 0.05), while impacted 0.05). indicated HER-2 negativity elevated years, AUC values 95 % confidence intervals 0.803 (67.42-93.15), 0.831 (75.93-90.29), 0.854 (78.43-92.34) group, 0.754 (55.15-95.66), 0.753 (64.91-85.71), 0.777 (68.64-86.67) respectively. These results suggest has superior efficacy high degree reliability. Additionally, curve demonstrated is well-fitted, possesses utility practice. Age, influence cancer. developed this study can evaluate prognosis, guide individualized treatment, bring more benefits, improving quality life patients. It demonstrates good ability value. holds certain

Язык: Английский

Prognostic factors analysis and nomogram construction of breast cancer patients lung metastases and bone metastases DOI Creative Commons

Mengya Feng,

Yihua Kang,

Sijia Li

и другие.

Surgery Open Science, Год журнала: 2025, Номер 26, С. 28 - 38

Опубликована: Апрель 23, 2025

To investigate the clinicopathological factors influencing lung and bone metastasis in breast cancer, to further construct a nomogram model for predicting risk of cancer patients at various time points, followed by prognostic analysis. The retrospective analysis included 200 with among whom 51 had metastases 57 metastases. remaining 92 without served as control group. Baseline characteristics were analyzed using chi-square test; COX univariate multivariate analyses applied explore factors. A was constructed predict individuals developing or 1, 3, 5 years. predictive validated ROC curves calibration curves, decision plotted assess clinical application value model. Analysis revealed that age, BMI, tumor size, lymph node status, ER, PR, HER-2, Ki67 significantly influenced (P < 0.05), while impacted 0.05). indicated HER-2 negativity elevated years, AUC values 95 % confidence intervals 0.803 (67.42-93.15), 0.831 (75.93-90.29), 0.854 (78.43-92.34) group, 0.754 (55.15-95.66), 0.753 (64.91-85.71), 0.777 (68.64-86.67) respectively. These results suggest has superior efficacy high degree reliability. Additionally, curve demonstrated is well-fitted, possesses utility practice. Age, influence cancer. developed this study can evaluate prognosis, guide individualized treatment, bring more benefits, improving quality life patients. It demonstrates good ability value. holds certain

Язык: Английский

Процитировано

0