Analysis of influencing factors of axillary lymph node metastasis in breast cancer
YU Shui1 WANG Wei2▲
1. Department of Pathology, Dalian Women and Children Medical Center (Group) Sports New Town Campus, Liaoning Province, Dalian 116037, China;
2. Department of Pathology, Dalian Women and Children Medical Center (Group)Chunliu Obstetrics and Gynecology Hospital Area, Liaoning Province, Dalian 116033, China
Objective To investigate the clinicopathological features associated with axillary lymph node metastasis in invasive breast cancer, and to provide reference factors for preoperative prediction of axillary lymph node metastasis in breast cancer. Methods The clinical data of 70 patients with invasive breast cancer admitted to Dalian Women and Children Medical Center (Group) Sports New Town Campus from December 2019 to March 2021 were retrospectively analyzed. The information of patients′ age, tumor size, pathological type, molecular type, pathological grade, number of primary tumor foci, micropapillary structure and vascular invasion were collected. The risk factors for axillary lymph node metastasis were analyzed by multivariate analysis. Results Among 70 patients with breast invasive cancer, 29 cases had axillary lymph node metastasis and 41 cases had no metastasis. There were statistically significant differences in tumor size and vascular invasion between the metastatic group and the non-metastatic group (P<0.05). There were no significant differences in age, pathological type, molecular type, pathological grade, number of primary tumor foci and whether accompanied by micropapillary structure between the two groups (P>0.05). Multivariate analysis showed that the tumor size was ≥3.5 cm (β=1.829, OR=6.226, P=0.021, 95%CI=1.315~29.490) and vascular infiltration (β=2.578,OR=13.171, P <0.001, 95%CI=3.861 ~44.937) were independent risk factors for axillary lymph node metastasis.Conclusion Tumor size (≥3.5 cm) and vascular invasion are independent risk factors for axillary lymph node metastasis in breast cancer. And precise treatment of breast cancer patients can be achieved according to the risk factors.
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