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Microarray methods to identify factors determining breast cancer progression: potentials, limitations, and challenges.

机译:微阵列方法可识别决定乳腺癌进展的因素:潜力,局限性和挑战。

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摘要

65-80% of the patients with breast cancer might not benefit from the adjuvant therapy they receive based on 'classical' markers used for the selection for adjuvant therapy. Therefore it is necessary to develop new markers that are able to tailor treatment for an individual patient. A number of microarray methods have been developed in recent years to accommodate this search for new factors that determine breast cancer progression. We give an overview of the most commonly used microarray methods to identify tumour progression markers (oligo- or cDNA arrays, CGH arrays, PCR arrays, and tissue microarrays). Their applications will be illustrated using the most influential examples from literature. The potentials, limitations and the related statistical analyses of each method are discussed. We conclude that microarray studies have led to an increase in the understanding of the complexity and diversity of breast carcinoma and have provided clinical relevant subgroups of breast cancer that may benefit from patient tailored treatment. Still, more extensive external validation and long-term follow-up will be necessary before such assays can be implemented into routine clinical practice. Most likely, these novel prognostic indicators will be complementary to the already available classical prognostic factors.
机译:基于用于选择辅助疗法的“经典”标记,有65-80%的乳腺癌患者可能无法从其接受的辅助疗法中受益。因此,有必要开发能够针对个别患者调整治疗的新标记。近年来已经开发了许多微阵列方法来适应对确定乳腺癌进展的新因素的寻找。我们概述了最常用的微阵列方法来鉴定肿瘤进展标志物(寡核苷酸或cDNA阵列,CGH阵列,PCR阵列和组织微阵列)。将使用文献中最具影响力的示例来说明其应用。讨论了每种方法的潜力,局限性和相关的统计分析。我们得出的结论是,微阵列研究已导致对乳腺癌的复杂性和多样性的了解增加,并提供了可从患者定制治疗中受益的临床相关的乳腺癌亚组。尽管如此,在将此类检测方法应用于常规临床实践之前,仍需要进行更广泛的外部验证和长期随访。这些新的预后指标很可能会补充现有的经典预后因素。

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