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滤泡性淋巴瘤的基因表达谱及其对临床实践的意义。

Gene expression profiling in follicular lymphoma and its implication for clinical practice.

机构信息

Department of Haematooncology, University Hospital Brno, Czech Republic.

出版信息

Leuk Lymphoma. 2011 Jan;52(1):59-68. doi: 10.3109/10428194.2010.531412. Epub 2010 Dec 6.

Abstract

Follicular lymphoma (FL) is characterized by an indolent and relapsing course. Recently, the clinical outcome of FL has been distinguished by immune microenvironment-associated gene signatures. In our study, gene expression profiling (GEP) was performed in 31 non-selected patients with follicular lymphoma (FL), 12 of whom were in relapse and the remaining 19 newly diagnosed. A custom oligonucleotide microarray (Agilent 8 × 15K) was used which contained probes for about 3500 genes, including those that had been previously published as demonstrating significant prognostic value. An unsupervised approach was not able to recognize clinically different FLs. As the previously published prognostically relevant gene signatures could not be properly verified, probably due to microarray platform differences, template matching was therefore used in order to define two gene sets with differential gene expression among our samples. These gene sets shared an overrepresentation of genes with similar biological functions and were termed 'T-CELL' and 'PROLIFERATION' profiles. The 'poor profile' was then defined by a high PROLIFERATION score (upper tertile) and/or low T-CELL score (lower tertile). The 'poor profile' cohort contained a significantly higher proportion of relapsed cases (p < 0.05, Fisher's exact test). Additionally, a comparison of samples from initial diagnosis and from relapse showed significant differences mainly in the T-CELL profile (p = 0.036; χ(2)). This supports the hypothesis that the number of T-cells and their expression pattern play a major role in FL development.

摘要

滤泡性淋巴瘤(FL)的特点是惰性和复发性病程。最近,FL 的临床结果已通过免疫微环境相关基因特征来区分。在我们的研究中,对 31 例未经选择的滤泡性淋巴瘤(FL)患者进行了基因表达谱分析(GEP),其中 12 例处于复发期,其余 19 例为新诊断。使用了定制的寡核苷酸微阵列(Agilent 8 × 15K),其中包含约 3500 个基因的探针,包括先前发表的具有显著预后价值的基因。非监督方法无法识别临床上不同的 FL。由于先前发表的具有预后相关性的基因特征无法得到正确验证,可能是由于微阵列平台的差异,因此使用模板匹配来定义我们样本中具有差异基因表达的两个基因集。这些基因集共享具有相似生物学功能的基因的过度表达,并被称为“T 细胞”和“增殖”谱。“不良预后”通过高增殖评分(上三分位数)和/或低 T 细胞评分(下三分位数)来定义。“不良预后”队列包含更高比例的复发病例(p < 0.05,Fisher 确切检验)。此外,对初始诊断和复发时的样本进行比较显示,主要在 T 细胞谱中存在显著差异(p = 0.036;χ(2))。这支持了 T 细胞数量及其表达模式在 FL 发展中起主要作用的假设。

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