Petrausch U, Martus P, Tönnies H, Bechrakis N E, Lenze D, Wansel S, Hummel M, Bornfeld N, Thiel E, Foerster M H, Keilholz U
Department of Medicine III (Hematology, Oncology and Transfusion Medicine), Charité, Campus Benjamin Franklin, Germany.
Eye (Lond). 2008 Aug;22(8):997-1007. doi: 10.1038/sj.eye.6702779. Epub 2007 Mar 23.
This study was undertaken to identify and compare the prognostic value of gene expression, chromosomal, and clinico-pathological data for the prediction of subsequent metastases in patients with primary uveal melanoma.
For comparison of different sets of predictor variables diagonal linear discriminant analysis was used. Chromosomal events were assessed by comparative genomic hybridization and gene expression profiling by microarray. Twenty-eight patients with a median follow-up of 68 months were analyzed, of whom 12 had developed subsequent metastases.
Diagonal linear discriminant analysis with crossvalidation of gene expression data detected 42 genes as differentially expressed in metastasizing vsnon-metastasizing uveal melanomas in all 28 cases. Comparing quantitative scores of discriminant analysis, grouping precision was significant better with gene expression profiling compared to comparative genomic hybridization (P=0.01) and to clinical data (P=0.001). Two published gene lists associated with monosomy 3 and metastatic tumor growth were used as classifier for discriminant analysis and yielded superior classification in patients with and without subsequent metastases than chromosomal or clinico-pathological data.
In our patient cohort gene expression profiling of primary uveal melanoma tissue was superior to clinical-pathological and chromosomal analysis to assess for the risk of subsequent metastases.
本研究旨在识别并比较基因表达、染色体及临床病理数据对原发性葡萄膜黑色素瘤患者后续转移预测的预后价值。
采用对角线性判别分析比较不同组别的预测变量。通过比较基因组杂交评估染色体事件,通过微阵列进行基因表达谱分析。分析了28例患者,中位随访时间为68个月,其中12例发生了后续转移。
对基因表达数据进行交叉验证的对角线性判别分析在所有28例病例中检测到42个基因在转移性与非转移性葡萄膜黑色素瘤中差异表达。比较判别分析的定量评分,与比较基因组杂交(P=0.01)和临床数据(P=0.001)相比,基因表达谱分析的分组精度显著更高。使用两个已发表的与3号染色体单体和转移性肿瘤生长相关的基因列表作为判别分析的分类器,与染色体或临床病理数据相比,在有或无后续转移的患者中产生了更好的分类。
在我们的患者队列中,原发性葡萄膜黑色素瘤组织的基因表达谱分析在评估后续转移风险方面优于临床病理和染色体分析。