The expression of CBL-B, AXL and ITGB2 in breast cancer and its correlation with MRI features / 中华内分泌外科杂志

ABSTRACT

Objective:To investigate the correlation between MRI features of breast cancer and the expression of CBL-B, AXL and ITGB2, and further to provide new imaging ideas for the early diagnosis of breast cancer, the designation of treatment plan and the preoperative non-invasive assessment of breast cancer prognosis.Methods:204 female patients with breast cancer who visited Linyi Central Hospital from Sep. 2017 to Sep. 2020 and received surgical treatment were selected as research objects. A total of 204 lesions were selected. Scanning was performed using Philips All-digital Ingenia3.0T MRI. Tumor diameter, shape, edge, intensity pattern, time-signal intensity curve (TIC) type, early intensity rate and ADC value were recorded. Immunohistochemical SP method was used to detect the expression levels of CBL-B, AXL and ITGB2 in breast cancer tissues and adjacent tissues.Results:The proportion of patients with low expression of CBL-B, high expression of AXL and high expression of ITGB2 in breast cancer tissues was significantly higher than that in adjacent tissues (All P<0.05) . Univariate analysis showed that tumor diameter, shape, early enhancement rate and ADC value in MRI features were correlated with the expression of CBL-B protein in breast cancer (All P<0.05) . The tumor diameter, shape and TIC typing in MRI features were associated with AXL protein expression in breast cancer. The tumor diameter, TIC typing, early enhancement rate and ADC value in MRI features were related to ITGB2 protein expression. Binary Logistic regression analysis showed that tumor diameter ≥3 cm and early enhancement rate ≥100% were independent risk factors for low expression of CBL-B in breast cancer ( P<0.05) . Tumor diameter ≥3 cm, and irregular shape or burr were independent risk factors for AXL high expression ( P<0.05) . Tumor diameter ≥3 cm, early enhancement rate ≥100%, ADC value ≥1.12×10 -3 mm 2/s were independent risk factors for high ITGB2 expression in breast cancer ( P<0.05) . Conclusion:MRI features of breast cancer can be used to predict the expression of CBL-B, AXL, and ITGB2, so as to provide reference for clinical diagnosis, treatment and prognosis assessment of the disease.