关键词:

自动乳腺容积成像技术, miR-22-3p, 血小板内皮衍生因子, 乳腺癌, 腋窝淋巴结转移, 预后

Abstract:

Objective　To analyze the relationship between axillary lymph node metastasis (ALN) and prognosis of patients with breast cancer by automated breast volume imaging (ABVS) combined with miR-22-3p and platelet endothelium-derived factor (PDGF). Methods　This was a retrospective study. Ninety-seven patients with breast cancer treated at Hanzhong Central Hospital from January 2021 to September 2023 were selected, including 25 menopausal patients. They were 19-75 years old. The level of PDGF was detected by the enzyme linked immunosorbent assay before the surgery; the ABVS technique was used for the examination. The real-time fluorescence quantitative PCR was used to detect serum miR-22-3p. All the patients were treated with the modified radical operation. According to postoperative pathological results whether they had ALN, the patients were divided into an occurrence group (20 cases) and a non-occurrence group (77 cases). The Pearson correlation was used to analyze the relationship between ABVS technology combined with miR-22-3p and PDGF levels and the occurrence of ALN in the patients. The patients were followed up for 1 year by outpatient recheck or telephone. The recurrence, death, and survival were counted, and the patients were divided into a poor prognosis group (17 cases) and a good prognosis group (cases) according to their prognosis. The basic data were compared between the poor prognosis group and the good prognosis group. The binary logistic stepwise regression model was used to analyze the factors affecting the patients' prognosis. The receiver operating characteristic curve (ROC) was used to analyze the diagnostic efficacy. t and χ² tests were used for the statistical analysis. Results　The level of miR-22-3p in the occurrence group was lower than that in the non-occurrence group (0.81±0.23 vs. 1.14±0.28); the proportions of the patients with lesion size ≥2 cm and distance between lesion and nipple and level of PDGF in the occurrence group was higher than those in the non-occurrence group [60.00% (12/20) vs. 29.87% (23/77), 65.00% (13/20) vs. 32.47% (25/77), and (602.30±52.56) ng/L vs. (543.85±49.74) ng/L]; there were statistical differences (all P<0.05). The results of Pearson correlation analysis showed that miR-22-3p was negatively correlated with the occurrence of ALN in the patients (r=-0.592; P<0.001); the lesion size ≥2 cm, distance between lesion and nipple ≥2 cm, and level of PDGF were positively correlated with the occurrence of ALN in the patients (r=0.612, 0.601, and 0.584; all P<0.001). The level of miR-22-3p in the poor prognosis group was lower than that in the good prognosis group (0.86±0.27 vs. 1.22±0.36); the level of PDGF and the proportions of the patients with TNM stage Ⅲ-Ⅳ, irregular edge, and micro-calcification foci in the poor prognosis group were higher than those in the good prognosis group [(586.32±56.41) ng/L vs. (521.31±54.02) ng/L, 58.82% (10/17) vs. 26.25% (21/80), 64.71% (11/17) vs. 30.00% (24/80), and 70.59% (12/17) vs. 36.25% (29/80)]; there were statistical differences (all P<0.05). The binary logistic regression analysis showed that the levels of miR-22-3p and PDGF, TNM stage Ⅲ-Ⅳ, micro-calcification foci, and irregular edge were the factors affecting the patients' poor prognosis (all P<0.05). The ROC analysis showed that the combination of miR-22-3p, PDGF, TNM stage Ⅲ-Ⅳ, micro-calcification foci, and irregular edge had high value in the prediction of the patients' poor prognosis (area under the curve=0.896). Conclusions　ABVS technology combined with miR-22-3p and PDGF has good efficacy in the evaluation of poor prognosis in patients with breast cancer. The ABVS technology combined with miR-22-3p and PDGF is correlated with the occurrence of ALN in patients with breast cancer.

Key words:

Automated breast volume imaging, MiR-22-3p, Platelet endothelium-derived factor, Breast cancer, Axillary lymph node metastasis,  , Prognosis