Department of Thyroid and Breast Surgery, Western China Hospital of Sichuan University, Chengdu, China.
J Breast Cancer. 2013 Mar;16(1):40-9. doi: 10.4048/jbc.2013.16.1.40. Epub 2013 Mar 31.
The aim of this study is to explore signal transducer and activator of transcription 3 (STAT3) expression in breast cancer and to analyze the detailed mechanism that STAT3 contributes to the progression of breast cancer.
We retrospectively analyzed the clinicopathologic characteristics and overall survival (OS) of 140 breast cancer patients after curative surgery, and detected STAT3 expression, phosphorylated STAT3 (pSTAT3) expression, Ki-67 expression, vascular endothelial growth factor (VEGF)-C and -D expression in breast cancer tissues, and adjacent nontumor tissues. Survival analysis and relationship analysis were adopted for demonstrated the important mechanism of STAT3 contribution to progression of breast cancer.
STAT3 expression, pSTAT3 expression, Ki-67 expression, VEGF-C expression, and VEGF-D expression in breast cancer tissues were significantly higher than those in adjacent nontumor tissues, respectively. With survival analysis, only number of lymph node metastasis (N stage) was identified as the independent predictors of the OS of breast cancer patients. Besides, we demonstrated there was the most prominent correlation between STAT3 expression and lymph node metastasis in breast cancer tissues by using the multinominal regression method.
STAT3, a poor survival biomarker potential association with lymph node metastasis, was suitable for predication the OS of breast cancer patients after curative resection.
本研究旨在探讨信号转导子和转录激活子 3(STAT3)在乳腺癌中的表达,并分析 STAT3 促进乳腺癌进展的详细机制。
我们回顾性分析了 140 例接受根治性手术的乳腺癌患者的临床病理特征和总生存期(OS),并检测了乳腺癌组织和相邻非肿瘤组织中 STAT3 表达、磷酸化 STAT3(pSTAT3)表达、Ki-67 表达、血管内皮生长因子(VEGF)-C 和 -D 表达。采用生存分析和相关性分析来阐明 STAT3 促进乳腺癌进展的重要机制。
乳腺癌组织中 STAT3 表达、pSTAT3 表达、Ki-67 表达、VEGF-C 表达和 VEGF-D 表达均显著高于相邻非肿瘤组织。通过生存分析,仅淋巴结转移(N 分期)数量被确定为乳腺癌患者 OS 的独立预测因子。此外,我们通过多项回归方法证明,在乳腺癌组织中,STAT3 表达与淋巴结转移之间存在最显著的相关性。
STAT3 作为一个不良生存生物标志物,与淋巴结转移密切相关,适合预测根治性手术后乳腺癌患者的 OS。