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本文引用的文献

1
Converting a breast cancer microarray signature into a high-throughput diagnostic test.将乳腺癌基因芯片特征转化为高通量诊断测试。
BMC Genomics. 2006 Oct 30;7:278. doi: 10.1186/1471-2164-7-278.
2
Gene signature evaluation as a prognostic tool: challenges in the design of the MINDACT trial.基因特征评估作为一种预后工具:MINDACT试验设计中的挑战。
Nat Clin Pract Oncol. 2006 Oct;3(10):540-51. doi: 10.1038/ncponc0591.
3
Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.70基因预后特征对淋巴结阴性乳腺癌女性患者的验证及临床应用价值
J Natl Cancer Inst. 2006 Sep 6;98(17):1183-92. doi: 10.1093/jnci/djj329.
4
Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials.早期乳腺癌化疗和激素治疗对复发及15年生存率的影响:随机试验综述
Lancet. 2005;365(9472):1687-717. doi: 10.1016/S0140-6736(05)66544-0.
5
A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen.双基因表达比率可预测接受他莫昔芬治疗的乳腺癌患者的临床结局。
Cancer Cell. 2004 Jun;5(6):607-16. doi: 10.1016/j.ccr.2004.05.015.
6
DNA microarrays in breast cancer: the promise of personalised medicine.乳腺癌中的DNA微阵列:个性化医疗的前景。
Lancet. 2003 May 10;361(9369):1576-7. doi: 10.1016/S0140-6736(03)13322-3.
7
A gene-expression signature as a predictor of survival in breast cancer.一种作为乳腺癌生存预测指标的基因表达特征。
N Engl J Med. 2002 Dec 19;347(25):1999-2009. doi: 10.1056/NEJMoa021967.
8
A molecular signature of metastasis in primary solid tumors.原发性实体瘤转移的分子特征。
Nat Genet. 2003 Jan;33(1):49-54. doi: 10.1038/ng1060. Epub 2002 Dec 9.
9
DNA microarrays in clinical oncology.临床肿瘤学中的DNA微阵列
J Clin Oncol. 2002 Apr 1;20(7):1932-41. doi: 10.1200/JCO.2002.20.7.1932.
10
Gene expression profiling predicts clinical outcome of breast cancer.基因表达谱分析可预测乳腺癌的临床预后。
Nature. 2002 Jan 31;415(6871):530-6. doi: 10.1038/415530a.

在以绝经后女性为主的队列中对MammaPrint乳腺癌检测法进行分析。

Analysis of the MammaPrint breast cancer assay in a predominantly postmenopausal cohort.

作者信息

Wittner Ben S, Sgroi Dennis C, Ryan Paula D, Bruinsma Tako J, Glas Annuska M, Male Anitha, Dahiya Sonika, Habin Karleen, Bernards Rene, Haber Daniel A, Van't Veer Laura J, Ramaswamy Sridhar

机构信息

Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, USA.

出版信息

Clin Cancer Res. 2008 May 15;14(10):2988-93. doi: 10.1158/1078-0432.CCR-07-4723.

DOI:10.1158/1078-0432.CCR-07-4723
PMID:18483364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3089800/
Abstract

PURPOSE

Most node-negative breast cancer patients are older and postmenopausal and are increasingly being offered adjuvant chemotherapy despite their low overall risk of distant relapse. A molecular diagnostic test with high negative predictive value (NPV) for distant metastasis in this subgroup would spare many older breast cancer patients adjuvant treatment.

EXPERIMENTAL DESIGN

We determined the NPV and positive predictive value of the MammaPrint assay in breast cancer patients who were consecutively diagnosed and treated at the Massachusetts General Hospital between 1985 and 1997. Primary tumors from 100 patients with node-negative, invasive breast cancer (median age, 62.5 years; median follow-up, 11.3 years) were subjected to MammaPrint analysis and classified as being at either low or high risk for distant metastasis.

RESULTS

The MammaPrint 70-gene signature displayed excellent NPV as in previous studies, correctly identifying 100% of women at low risk for distant metastases at 5 years. However, this assay had a lower positive predictive value (12% at 5 years) than previously observed.

CONCLUSIONS

The MammaPrint assay was originally designed to identify younger breast cancer patients at low risk for distant metastasis, who might consequently be spared systemic treatment. We show here that the same signature has a very high NPV for distant recurrence after adjuvant treatment in older breast cancer patients.

摘要

目的

大多数淋巴结阴性的乳腺癌患者年龄较大且已绝经,尽管其远处复发的总体风险较低,但越来越多地接受辅助化疗。对于该亚组中远处转移具有高阴性预测值(NPV)的分子诊断测试将使许多老年乳腺癌患者免于辅助治疗。

实验设计

我们确定了1985年至1997年间在马萨诸塞州总医院连续诊断和治疗的乳腺癌患者中MammaPrint检测的NPV和阳性预测值。对100例淋巴结阴性浸润性乳腺癌患者(中位年龄62.5岁;中位随访时间11.3年)的原发肿瘤进行MammaPrint分析,并分类为远处转移低风险或高风险。

结果

与先前研究一样,MammaPrint 70基因特征显示出优异的NPV,在5年时正确识别出100%远处转移低风险的女性。然而,该检测的阳性预测值(5年时为12%)低于先前观察到的结果。

结论

MammaPrint检测最初旨在识别远处转移低风险的年轻乳腺癌患者,这些患者因此可能免于全身治疗。我们在此表明,相同的特征对于老年乳腺癌患者辅助治疗后的远处复发具有非常高的NPV。