Wennmalm Kristian, Calza Stefano, Ploner Alexander, Hall Per, Bjöhle Judith, Klaar Sigrid, Smeds Johanna, Pawitan Yudi, Bergh Jonas
Department of Oncology and Pathology, Cancer Center Karolinska, Radiumhemmet, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Genes Chromosomes Cancer. 2007 Jan;46(1):87-97. doi: 10.1002/gcc.20392.
We have investigated the relationship between gene expression and chromosomal positions in 402 breast cancer patients. Using an overrepresentation approach based on Fisher's exact test, we identified disproportionate contributions of specific chromosomal positions to genes associated with survival. Our major finding is that the gene expression in the long arm of chromosome 16 stands out in its relationship to survival. This arm contributes 36 (18%) and 55 (11%) genes to lists negatively associated with recurrence-free survival (set to sizes 200 and 500). This is a highly disproportionate contribution from the 313 (2%) genes in this arm represented on the used Affymetrix U133A and B microarray platforms (Bonferroni corrected Fisher test: P < 2.2 x 10(-16)). We also demonstrate differential expression in 16q across tumor subtypes, which suggests that the ERBB2, basal, and luminal B tumors progress along a high grade-poor prognosis path, while luminal A and normal-like tumors progress along a low grade-good prognosis path, in accordance with a previously proposed model of tumor progression. We conclude that important biological information can be extracted from gene expression data in breast cancer by studying non-random connections between chromosomal positions and gene expression. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat.
我们研究了402例乳腺癌患者的基因表达与染色体位置之间的关系。基于Fisher精确检验,采用过表达方法,我们确定了特定染色体位置对与生存相关基因的不成比例贡献。我们的主要发现是,16号染色体长臂上的基因表达在与生存的关系中表现突出。该臂对无复发生存期呈负相关的基因列表(设定大小为200和500)分别贡献了36个(18%)和55个(11%)基因。这是在所用的Affymetrix U133A和B微阵列平台上该臂上313个(2%)基因的高度不成比例的贡献(Bonferroni校正Fisher检验:P < 2.2×10⁻¹⁶)。我们还证明了16q在不同肿瘤亚型中的差异表达,这表明ERBB2、基底样和管腔B型肿瘤沿着高分级-预后不良的路径进展,而管腔A型和正常样肿瘤沿着低分级-预后良好的路径进展,这与先前提出的肿瘤进展模型一致。我们得出结论,通过研究染色体位置与基因表达之间的非随机联系,可以从乳腺癌的基因表达数据中提取重要的生物学信息。本文包含可在http://www.interscience.wiley.com/jpages/1045-2257/suppmat获取的补充材料。