| 基于多基因表达水平的乳腺癌预后预测研究进展 |
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| 引用本文： | 李晓青(综述),冯玉梅(审校). 基于多基因表达水平的乳腺癌预后预测研究进展[J]. 中国肿瘤临床, 2013, 40(13): 807-810. DOI: 10.3969/j.issn.1000-8179.2013.13.015 |
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| 作者姓名： | 李晓青(综述) 冯玉梅(审校) |
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| 作者单位： | 天津医科大学附属肿瘤医院生物化学与分子生物学研究室, 乳腺癌防治教育部重点实验室, 天津市肿瘤防治重点实验室（天津市300060） |
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| 基金项目： | the Applied Basic Research Programs of Science and Technology Commission Foundation of Tianjin (No.06YFJMJC1290)本文课题受天津市应用基础项目研究项目 |
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| 摘 要： | 乳腺癌是女性最常见的恶性肿瘤之一。依据目前的临床预后预测指标和诊疗规范, 70%淋巴结阴性和30%淋巴结阳性乳腺癌患者在术后5~10年内未发生远处转移, 但却遭受不必要的化疗副作用。基于高转移潜能的肿瘤细胞中一系列转移相关基因的表达异常, 多基因表达水平检测作为临床病理因素的补充已成功应用于乳腺癌患者预后预测。本文将对基于基因表达谱和RT-QPCR方法的多基因表达水平的乳腺癌患者预后预测方法和预测能力的研究进展进行综述。
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| 关 键 词： | 乳腺癌 预后 基因表达谱 RT-QPCR |
| 收稿时间： | 2013-01-30 |
Progress of research on predicting breast cancer prognosis based on multi-gene expression levels |
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| Xiaoqing LI , Yumei FENG. Progress of research on predicting breast cancer prognosis based on multi-gene expression levels[J]. Chinese Journal of Clinical Oncology, 2013, 40(13): 807-810. DOI: 10.3969/j.issn.1000-8179.2013.13.015 |
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| Authors: | Xiaoqing LI Yumei FENG |
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| Affiliation: | Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Breast Cancer Prevention and Treatment of the Ministry of Education of China, Key Laboratory of Cancer Prevention and Treatment of Tianjin City, Tianjin 300060, China |
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| Abstract: | Breast cancer is one of the most common cancers in women.Current clinical prognostic indicators and practice guidelines show that almost 70% of node-negative and 30% of lymph node-positive breast cancer patients can survive 5-10 years without distant metastasis after surgery.Patients also unnecessarily suffer the side effects of chemotherapy.Assays on multi-gene expression levels as prognosis prediction indicators have been successfully used to predict the prognosis of breast cancer patients because of the abnormal expression levels of a series of metastasis-related genes in cancer cells with high metastatic potential.In this review, we highlight the progress of research on predicting breast cancer prognosis based on multi-gene expression levels detected by microarray and qRT-PCR methods. |
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| Keywords: | breast cancer prognosis microarray qRT-PCR |
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