Department of Ultrasound, Beilun People's Hospital of Ningbo, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, Zhejiang, China.
J Int Med Res. 2020 Aug;48(8):300060520917581. doi: 10.1177/0300060520917581.
This study aimed to investigate serum matrix metalloproteinase (MMP)-2 and MMP-9 levels in patients with papillary thyroid carcinoma (PTC).
Forty-one patients with PTC undergoing ultrasound-guided radiofrequency ablation (RFA) and 56 controls were included. Serum MMP-2 and MMP-9 levels were determined by enzyme-linked immunosorbent assay before and after surgery. Potential affecting factors were evaluated by logistic regression analysis.
Serum MMP-2 and MMP-9 levels were significantly higher in PTC patients compared with controls, and decreased significantly after surgery. According to receiver operating characteristic curve analysis, diagnostic values for preoperative serum MMP-2 and MMP-9 levels were 82.4% and 86.6%. There was no contrast-agent perfusion in the ablation zone in 88.5% of lesions, and enhancement within or at the lesion edge in 11.4%. The volume reduction at 3 months' follow-up was >40%. Age, microcalcification, irregular shape, and lesion diameter and number were influencing factors for PTC. Age, and lesion diameter and number were independent risk factors, while calcification and morphology were protective factors.
Serum MMP-2 and MMP-9 levels have important clinical values for the diagnosis and treatment of PTC by RFA. Preoperative serum MMP-2 and MMP-9 levels, combined with other affecting factors, contribute to disease prognosis.
本研究旨在探讨甲状腺乳头状癌（PTC）患者血清基质金属蛋白酶（MMP）-2 和 MMP-9 水平。
纳入 41 例行超声引导下射频消融（RFA）的 PTC 患者和 56 例对照者。采用酶联免疫吸附试验检测患者术前及术后血清 MMP-2 和 MMP-9 水平，采用 logistic 回归分析评估潜在影响因素。
与对照者相比，PTC 患者血清 MMP-2 和 MMP-9 水平显著升高，术后显著下降。根据受试者工作特征曲线分析，术前血清 MMP-2 和 MMP-9 水平对 PTC 的诊断价值分别为 82.4%和 86.6%。88.5%病灶消融区无造影剂灌注，11.4%呈病灶内或边缘强化。3 个月随访时，体积缩小率>40%。年龄、微钙化、不规则形状、病灶直径和数量是 PTC 的影响因素。年龄、病灶直径和数量是独立危险因素，而钙化和形态是保护因素。
血清 MMP-2 和 MMP-9 水平对 RFA 治疗 PTC 的诊断具有重要的临床价值。术前血清 MMP-2 和 MMP-9 水平与其他影响因素相结合，有助于预测疾病预后。
