前列腺癌多模态MRI参数与P504s蛋白表达的相关性分析

Multi-modality MRI parameters correlate with the expression of the P504s protein in prostate cancer

目的:评估前列腺癌(PCa)组织中P504s、34β-E12、P63表达情况,并探讨PCa多模态MRI参数与P504s的相关性。方法:对43例PCa患者和64例非PCa患者(均经前列腺穿刺活检或根治性前列腺切除术后病理证实)的多模态MRI影像资料(常规MRI、扩散加权成像DWI、动态增强磁共振成像DCE-MRI)进行回顾性分析,获取时间-信号强度(SI-T)曲线,计算Tmax(s)、SImax%、Rmax%和自动生成ADC值;运用免疫组化方法检测前列腺组织中P504s、34β-E12、P63表达情况。结果:PCa组P504s、34β-E12、P63阳性表达率分别为83.7%、25.6%、25.6%,非PCa组分别为0%、91.0%、86.0%,两组间差异有统计学意义(P<0.05);PCa组和非PCa组ADC值、Tmax(s)、SImax%、Rmax%分别为:(0.83±0.22)×10^-3mm^2/s、(21.30±10.78)s、(1.75±0.39)%、(20.20±15.50)%和(1.34±0.28)×10^-3mm^2/s、(50.22±36.31)s、(1.24±0.41)%、(7.98±6.25)%,组间比较差异有统计学意义(P<0.05);ADC值、Tmax(s)与P504s表达呈负相关(r=-0.60、-0.37,P<0.01);而SImax%、Rmax%与P504s表达呈正相关(r=0.50、0.45,P<0.01)。结论:PCa多模态MRI各参数与P504s表达有相关性,可作为预测肿瘤恶性程度的影像生物学标志物。

Objective: To evaluate the expressions of P504s, 34β-E12, and P63 proteins in PCa and the correlation between the parameters of multi-modality MRI and the expression of P504s. Methods: We retrospectively analyzed the multi-modality MRI data on 43 PCa and 64 non-PCa patients. We obtained the signal intensity-time(SI-T) curves, maximum SI(SImax), time to SImax(Tmax), rate of maximum enhancement(Rmax), and automatically generated apparent diffusion coefficient(ADC) values by conventional, diffusion-weighted and dynamic contrast-enhanced MRI, and determined the expressions of P504s, 34β-E12 and P63 in the prostatic tissues of the patients by immunohistochemistry. Results: Statistically significant differences were observed between the PCa and non-PCa groups in the positive expressions of P504s(83.7% vs 0%, P < 0.05), 34β-E12(25.6% vs 91.0%, P < 0.05) and P63(25.6% vs 86.0%, P < 0.05) in the prostatic tissue, the ADC value([0.83 ± 0.22] vs [1.34 ± 0.28]×10^-3mm^2/s, P < 0.05), Tmax([21.30 ± 10.78] vs [50.22 ± 36.31] s, P < 0.05), SImax([1.75 ± 0.39]% vs [1.24 ± 0.41]%, P < 0.05), and Rmax([20.20 ± 15.50]% vs [7.98 ± 6.25]%, P < 0.05). The expression of P504s was correlated negatively with the ADC value and Tmax(r =-0.60 and-0.37, P < 0.01) but positively with SImax and Rmax(r = 0.50 and 0.45, P < 0.01). Conclusion: The parameters of multi-modality MRI are correlated with the expression of P504s in PCa and can be used as imaging biomarkers for predicting the degrees of its malignancy.