雌激素受体阳性乳腺癌基因表达特征的鉴定。

Biomarkers in cancer Pub Date : 2010-02-11 eCollection Date: 2010-01-01 DOI:10.4137/BIC.S3793
Arvind D Thakkar, Hemanth Raj, Debarshi Chakrabarti, Ravishankar, N Saravanan, Bhaskaran Muthuvelan, Arun Balakrishnan, Muralidhara Padigaru
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引用次数: 40

摘要

大量雌激素受体(ER) α阳性乳腺肿瘤患者对内分泌治疗没有明显反应。增加对雌激素介导的信号转导和由此产生的基因表达的分子基础的了解可能会导致治疗乳腺癌的新策略。在这项研究中,我们试图确定乳腺癌中与ERα状态相关的失调基因。对31例肿瘤样本的微阵列分析显示,有108个基因在ERα(+)和ERα(-)原发性乳腺肿瘤中存在差异表达。对基因表的进一步分析表明,大量失调基因参与mRNA转录和细胞分化。这些基因中的大多数被发现具有e74样因子5 (ELF5;54.6%基因),E2F转录因子1 (E2F1;22.2%基因)和核转录因子Y α (NFYA;32.4%的基因)。选择6个差异表达的候选基因(NTN4、SLC7A8、MLPH、ENPP1、LAMB2和PLAT),通过RT-qPCR(76例临床标本)和免疫组织化学(48例临床标本)进行进一步的验证研究。我们的研究表明,与ERα(-)乳腺肿瘤相比,ERα(+)乳腺肿瘤中所有六种基因均显着过表达。T-47D乳腺癌细胞系的体外研究证实了上述6个基因中的4个(SLC7A8、ENPP1、LAMB2和PLAT)的雌激素依赖性表达。总的来说,我们的研究为雌激素依赖性乳腺癌的分子基础提供了进一步的见解,并确定了可用于预测内分泌反应性的“候选生物标志物”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of gene expression signature in estrogen receptor positive breast carcinoma.

Identification of gene expression signature in estrogen receptor positive breast carcinoma.

Identification of gene expression signature in estrogen receptor positive breast carcinoma.

Identification of gene expression signature in estrogen receptor positive breast carcinoma.

A significant group of patient with estrogen receptor (ER) α positive breast tumors fails to appreciably respond to endocrine therapy. An increased understanding of the molecular basis of estrogen-mediated signal transduction and resultant gene expression may lead to novel strategies for treating breast cancer. In this study, we sought to identify the dysregulated genes in breast tumors related to ERα status. Microarray analyses of 31 tumor samples showed 108 genes differentially expressed in ERα (+) and ERα (-) primary breast tumors. Further analyses of gene lists indicated that a significant number of dysregulated genes were involved in mRNA transcription and cellular differentiation. The majority of these genes were found to have promoter-binding sites for E74-like factor 5 (ELF5; 54.6% genes), E2F transcription factor 1 (E2F1; 22.2% genes), and nuclear transcription factor Y alpha (NFYA; 32.4% genes). Six candidate genes (NTN4, SLC7A8, MLPH, ENPP1, LAMB2, and PLAT) with differential expression were selected for further validation studies using RT-qPCR (76 clinical specimen) and immunohistochemistry (48 clinical specimen). Our studies indicate significant over-expression of all the six genes in ERα (+) breast tumors as compared to ERα (-) breast tumors. In vitro studies using T-47D breast cancer cell line confirmed the estrogen dependant expression of four of the above six genes (SLC7A8, ENPP1, LAMB2, and PLAT). Collectively, our study provides further insights into the molecular basis of estrogen-dependent breast cancer and identifies "candidate biomarkers" that could be useful for predicting endocrine responsiveness.

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