Erdem H, Gundogdu B, Ankarali H, Yasar M, Sener E, Oktay M, Bahadir A, Uzunlar A K, Gursan N, Ozaydin I, Sahiner C
Department of Pathology, Duzce University of Medical Faculty, Duzce, Turkey.
Niger J Clin Pract. 2015 Sep-Oct;18(5):638-43. doi: 10.4103/1119-3077.158961.
Breast cancer is the second most frequent cancer in the world. Although it is widely accepted that the etiology of breast cancer includes both genetic and environmental factors, the molecular mechanism of its development and progression remains poorly understood, and thus far, no specific signature of breast cancer gene expression has been reported to allow for patient-tailored therapy strategies. Hence, it is of great clinical value to further understand the molecular mechanisms underlying the progression of breast cancer and to identify effective early markers for the diagnosis and prognosis of the disease as well as novel therapeutic targets.
This study was conducted on a total of 90 paraffin-embedded breast tumor samples. Immunohistochemical stains for astrocyte elevated gene-1 (AEG-1), basic-fibroblast growth factor (b-FGF), beta-catenin, Ki-67, tumor necrosis factor-α (TNF-α) were performed on tissue microarray using standard procedures. Each patient age, grade, estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2) status, size, lymphovascular invasion, metastasis of lymph node (LNM), nipple and ductal hyperplasia areas were assessed.
We observed significant relationship between the age and LNM or FGF (P = 0.018, 0.035, respectively). The relationship between histological and nuclear grade, LNM, ER, PR, HER-2 and prognostic parameters was evaluated in cases of ductal carcinomas (DC). There was a significant positive correlation between TNF-α, size, LNM (P ≤ 0.0001, 0.002, 0.005). We found that significant relationship between AEG-1 and TNF-α. There was a significant positive correlation between FGF and Ki-67 and negative correlation AEG-1. Although, FGF, TNF-α, AEG-1 staining in DC were observed higher than ductal intraepithelial neoplasms, this observation could not statistically (P ≥ 0.05).
The present work aims to investigate the relationship between the expression of AEG-1, b-FGF, beta-catenin, Ki-67, TNF-α other prognostic parameters in DC and ductal intraepithelial neoplasm. We found a relationship between these factors.
乳腺癌是全球第二常见的癌症。尽管人们普遍认为乳腺癌的病因包括遗传和环境因素,但其发生和发展的分子机制仍知之甚少,迄今为止,尚未有报道称存在可用于患者个体化治疗策略的乳腺癌基因表达特异性特征。因此,进一步了解乳腺癌进展的分子机制,识别该疾病诊断和预后的有效早期标志物以及新的治疗靶点具有重要的临床价值。
本研究共对90份石蜡包埋的乳腺肿瘤样本进行。使用标准程序在组织芯片上对星形胶质细胞上调基因-1(AEG-1)、碱性成纤维细胞生长因子(b-FGF)、β-连环蛋白、Ki-67、肿瘤坏死因子-α(TNF-α)进行免疫组织化学染色。评估每位患者的年龄、分级、雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体2(HER-2)状态、肿瘤大小、淋巴管浸润、淋巴结转移(LNM)、乳头及导管增生区域。
我们观察到年龄与LNM或FGF之间存在显著相关性(P分别为0.018和0.035)。在导管癌(DC)病例中评估了组织学和核分级、LNM、ER、PR、HER-2与预后参数之间的关系。TNF-α、肿瘤大小、LNM之间存在显著正相关(P≤0.0001、0.002、0.005)。我们发现AEG-1与TNF-α之间存在显著相关性。FGF与Ki-67之间存在显著正相关,与AEG-1存在负相关。尽管观察到DC中FGF、TNF-α、AEG-1染色高于导管上皮内瘤变,但该观察结果无统计学意义(P≥0.05)。
本研究旨在探讨DC和导管上皮内瘤变中AEG-1、b-FGF、β-连环蛋白、Ki-67、TNF-α及其他预后参数表达之间的关系。我们发现了这些因素之间的一种关系。