SUMO特异性肽酶1在乳腺癌中的表达及其临床意义

Expression and clinical significance of SUMO-specific protease 1 in breast cancer

  • 摘要:
    目的 探讨SUMO特异性肽酶1(SENP1)在乳腺癌组织中的表达情况及其临床意义。
    方法 先采用UALCAN数据库分析SENP1在乳腺癌患者中的表达水平;继而通过实时荧光定量逆转录PCR(RT-qPCR)分析SENP1在不同乳腺细胞株和44例乳腺癌组织中的表达水平及其与临床病理指标的关系;采用免疫组化法分析SENP1在乳腺癌组织中的表达水平;通过免疫浸润分析SENP1与免疫细胞浸润的关系。
    结果 UALCAN数据库分析表明,SENP1在乳腺癌组织中的表达上调(P<0.05);SENP1在MDA-MB-231、MCF7及HCC1937细胞和乳腺癌组织中的表达显著上调(P<0.05);Ki-67高水平患者的SENP1水平显著高于Ki-67低水平患者(P<0.05);组织学分级Ⅲ级患者的SENP1水平显著高于组织学分级Ⅱ级患者(P<0.05);SENP1水平与血清孕酮水平呈正相关关系(P<0.05)。生物信息学分析发现,在SENP1高水平组患者中,树突状细胞等10种免疫细胞的浸润程度显著减少(P<0.05),而T helper cells等3种免疫细胞浸润显著增加(P<0.05)。
    结论 SENP1在乳腺癌组织中的表达显著上调,可能通过抑制免疫细胞浸润促进乳腺癌的发生、发展。

     

    Abstract:
    Objective To investigate the expression and its clinical significance of small ubiquitin-like modifier (SUMO/sentrin) -specific protease 1 (SENP1) in breast cancer tissues.
    Methods First, the UALCAN database was utilized to analyze the SENP1 expression levels in breast cancer patients. Subsequently, reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was employed to examine the expression levels of SENP1 in different breast cell lines and 44 cases of breast cancer tissues, and explore its correlation with clinicopathological parameters. Meanwhile, immunohistochemical analysis was performed to assess protein expression levels of SENP1 in breast cancer tissues. Finally, immune infiltration analysis was conducted to analyze the relationship between SENP1 and immune cell infiltration.
    Results UALCAN database analysis revealed significantly upregulated SENP1 expression in breast cancer tissues (P < 0.05). The expression of SENP1 was markedly elevated in MDA-MB-231, MCF7, and HCC1937 cell lines as well as breast cancer tissues (P < 0.05). The SENP1 levels in patients with high levels of Ki-67 was significantly higher than those in patients with lower levels of Ki-67 (P < 0.05). SENP1 levels in patients with histological grade Ⅲ were significantly higher than those in patients with histological grade Ⅱ (P < 0.05); SENP1 levels were positively correlated with serum progesterone levels (P < 0.05). Bioinformatics analysis revealed that the infiltration of 10 types of immune cells, such as dendritic cells, was significantly decreased in patients with higher levels of SENP1 (P < 0.05), while the infiltration of other 3 types of immune cells such as T helper cells, was significantly increased (P < 0.05).
    Conclusion The expression of SENP1 is significantly upregulated in breast cancer tissues, which may promote the development of breast cancer by inhibiting immune cell infiltration.

     

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