丁勇兴, 李成华, 杨清玲, 陈昌杰, 承泽农. CXCR4表达水平对判断乳腺癌淋巴结转移潜能的意义[J]. 中国肿瘤临床, 2008, 35(2): 88-91.
引用本文: 丁勇兴, 李成华, 杨清玲, 陈昌杰, 承泽农. CXCR4表达水平对判断乳腺癌淋巴结转移潜能的意义[J]. 中国肿瘤临床, 2008, 35(2): 88-91.
DING Yongxing, LI Chenghua, YANG Qingling, CHEN Changjie, CHENG Zenong. Expression of CXCR4 in Breast Cancer and Its Significance in Predicting Lymph Node Metastasis[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2008, 35(2): 88-91.
Citation: DING Yongxing, LI Chenghua, YANG Qingling, CHEN Changjie, CHENG Zenong. Expression of CXCR4 in Breast Cancer and Its Significance in Predicting Lymph Node Metastasis[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2008, 35(2): 88-91.

CXCR4表达水平对判断乳腺癌淋巴结转移潜能的意义

Expression of CXCR4 in Breast Cancer and Its Significance in Predicting Lymph Node Metastasis

  • 摘要: 目的: 趋化因子受体CXCR4在癌转移中起着重要作用。我们研究了乳腺癌标本中CXCR4的不同表达水平以及生物学标记物HER2的表达,进而评估这些生物学标记物能否预测腋窝乳腺癌腋窝淋巴结转移潜能。 方法: CXCR4和HER2表达用免疫组化的方法,检测不同时期乳腺癌的石蜡切片。其中淋巴结阳性病例80例,淋巴结阴性病例7例。 结果: 淋巴结阳性较阴性病例显示CXCR4高表达率(26.3%VS.14.3%,P=0.013),HER2过表达(28.8%vs.14.3%,P=0.011)。CXCR4与HER2表达与乳腺癌肿瘤分期(P=0.000)和淋巴结转移状况(P=0.032)正相关。同时标记CXCR4和HER2,与淋巴结阴性肿瘤比较,淋巴结阳性高表达其中一种标记物(51.3%vs.28.6%,P<0.003)。 结论: 趋化因子受体CXCR4在乳腺癌中是预测腋窝淋巴结转移的一种新型的生物标记物。联和其他标记物,如HER2可提高预测受累淋巴结的状态。

     

    Abstract: Objective: To detect the expression of CXCR4 in breast cancer and to investigate its significance in predicting lymph node metastasis. Methods: Paraffin-embedded tissue sections of lymph nodes without metastasis (n=7) and lymph nodes with metastasis (n=80) of breast cancer were detected for the expression of CXCR4 by immunohistochemistry. Results: The Lymph nodes with metastasis presented with higher rate of cytoplasmic CXCR4 staining (26.3% versus 14.3%, P=0.013) and higher HER2 expression (28.8% versus 14.3%, P=0.011) than that in the lymph nodes without metastasis. The expression of CXCR4 and HER2 was positively correlated with tumor stage and lymph node involvement. Conclusion: The chemokine receptor CXCR4 is a novel biomarker that can predict lymph node metastases of breast cancer. Utilization of additional markers, such as HER2, can further help to predict lymph node involvement.

     

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