乳腺癌患者HLA-G、HLA-E组织分布与肿瘤恶性程度的相关性研究

Mahdieh Jaafari, H. Hadinedoushan, Mahmoud Akhavan Tafti
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引用次数: 0

摘要

背景与目的:人白细胞抗原(HLA)分子在T淋巴细胞介导的适应性免疫应答中起重要作用。下调HLA表达可能有助于肿瘤逃避免疫监视。本研究旨在探讨人乳腺肿瘤中HLA-G和HLA-E组织分布与肿瘤恶性程度的相关性。材料与方法:对145例乳腺癌患者的组织样本进行横断面研究。免疫组织化学法检测HLA-G和HLA-E表达的分布。结果:145例患者中,51%的肿瘤不表达HLA-E, 36.6%的患者出现+1阳性。+2阳性占8.3%,+3阳性占4.1%。此外,79.3%的肿瘤不表达HLA-G, 17.9%表达+1阳性,2.8%表达+2阳性,没有患者表达+3阳性。总体而言,20.7%的患者表达HLA-G, 49%的患者表达HLA-E。疾病分级与HLA-E (p = 0.03)和HLA-G (p = 0.001)表达有显著相关性。HLA-G和HLA-E同时表达与分级有显著相关性(p = 0.03, r = 0.176)。结论:HLA-G、HLA-E表达分布与恶性程度有显著相关性。因此,这些生物标志物的表达可能与乳腺癌的预后和进展有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of Tissue Distribution of HLA-G and HLA-E and Degree of Tumor Malignancy in Patients with Breast Cancer
Background and Aims: Human leukocyte antigen (HLA) molecules play a substantial role in T Lymphocyte-mediated adaptive immune response. Down-regulation of HLA expression may help the tumor to escape from immune surveillance. This study aimed to evaluate the correlation between HLA-G and HLA-E tissue distribution and the degree of tumor malignancy in human breast tumors. Materials and Methods: This cross-sectional study was conducted on tissue samples of 145 patients with breast cancer. The distribution of HLA-G and HLA-E expressions were measured by the immunohistochemistry method. Results: Among 145 patients, 51% of tumors did not express HLA-E, and +1 positive was seen in 36.6 % of patients. +2 positive in 8.3% and +3 positive in 4.1% of patients. Moreover, 79.3% of tumors did not express HLA-G, 17.9% expressed +1 positive, 2.8% expressed +2 positive, and no patients expressed +3 positive. Generally, 20.7% and 49% of patients showed expression of HLA-G and HLA-E, respectively. A significant correlation was seen between the grade of disease and expression of HLA-E (p = 0.03) and HLA-G (p = 0.001). Moreover, a significant correlation was seen between the simultaneous expression of HLA-G and HLA-E with grade (p = 0.03, r = 0.176). Conclusion: Significant correlation was seen between the distribution of HLA-G and HLA-E expression with a degree of malignancy. Therefore, these biomarkers’ expression may contribute to the prognosis and progression of breast cancer.
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