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Gene-Set Reduction for Analysis of Major and Minor Gleason Scores Based on Differential Gene-Set Expressions and Biological Pathways in Prostate Cancer

机译:基于差异基因组表达和生物学途径的前列腺癌主要和次要格里森评分分析的基因组缩减

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摘要

The Gleason score (GS) plays an important role in prostate cancer detection and treatment. It is calculated based on a sum between its major and minor components, each ranging from 1 to 5, assigned after examination of sample cells taken from each side of the prostate gland during biopsy. A total GS of at least 7 is associated with more aggressive prostate cancer. However, it is still unclear how prostate cancer outcomes differ for various distributions of GS between its major and minor components. This article applies Significance Analysis of Microarray for Gene-Set Reduction to a real microarray study of patients with prostate cancer and identifies 13 core genes differentially expressed between patients with a major GS of 3 and a minor GS of 4, or (3,4), vs patients with a combination of (4,3), starting from a less aggressive GS combination of (3,3), and moving toward a more aggressive one of (4,4) via gray areas of (3,4) and (4,3). The resulting core genes may improve understanding of prostate cancer in patients with a total GS of 7, the most common grade and most challenging with respect to prognosis.
机译:格里森评分(GS)在前列腺癌的检测和治疗中起着重要的作用。它是根据其主要成分和次要成分之间的总和来计算的,每个成分的范围为1到5,在检查活检期间从前列腺两侧取来的样本细胞后分配。总GS至少为7与更具侵略性的前列腺癌有关。然而,目前尚不清楚前列腺癌的主要和次要成分在GS的各种分布方面有何不同。本文将基因芯片减少的微阵列意义分析应用于前列腺癌患者的真实微阵列研究,并鉴定了在主要GS为3和次要GS为4或(3,4)的患者之间差异表达的13个核心基因,与(4,3)组合的患者相比,从(3,3)的攻击性较差的GS组合开始,通过(3,4)的灰色区域向(4,4)的更具攻击性的患者移动(4,3)。最终的核心基因可能会改善总GS为7(最常见的等级和最难预后的患者)对前列腺癌的了解。

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