Lips Esther H, van Eijk Ronald, de Graaf Eelco J R, Oosting Jan, de Miranda Noel F C C, Karsten Tom, van de Velde Cornelis J, Eilers Paul H C, Tollenaar Rob A E M, van Wezel Tom, Morreau Hans
Department of Pathology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, the Netherlands.
BMC Cancer. 2008 Oct 29;8:314. doi: 10.1186/1471-2407-8-314.
Accurate staging of rectal tumors is essential for making the correct treatment choice. In a previous study, we found that loss of 17p, 18q and gain of 8q, 13q and 20q could distinguish adenoma from carcinoma tissue and that gain of 1q was related to lymph node metastasis. In order to find markers for tumor staging, we searched for candidate genes on these specific chromosomes.
We performed gene expression microarray analysis on 79 rectal tumors and integrated these data with genomic data from the same sample series. We performed supervised analysis to find candidate genes on affected chromosomes and validated the results with qRT-PCR and immunohistochemistry.
Integration of gene expression and chromosomal instability data revealed similarity between these two data types. Supervised analysis identified up-regulation of EFNA1 in cases with 1q gain, and EFNA1 expression was correlated with the expression of a target gene (VEGF). The BOP1 gene, involved in ribosome biogenesis and related to chromosomal instability, was over-expressed in cases with 8q gain. SMAD2 was the most down-regulated gene on 18q, and on 20q, STMN3 and TGIF2 were highly up-regulated. Immunohistochemistry for SMAD4 correlated with SMAD2 gene expression and 18q loss.
On basis of integrative analysis this study identified one well known CRC gene (SMAD2) and several other genes (EFNA1, BOP1, TGIF2 and STMN3) that possibly could be used for rectal cancer characterization.
准确的直肠肿瘤分期对于做出正确的治疗选择至关重要。在之前的一项研究中,我们发现17p、18q的缺失以及8q、13q和20q的增加可区分腺瘤与癌组织,且1q的增加与淋巴结转移相关。为了寻找肿瘤分期的标志物,我们在这些特定染色体上搜索候选基因。
我们对79例直肠肿瘤进行了基因表达微阵列分析,并将这些数据与来自同一样本系列的基因组数据整合。我们进行了监督分析以在受影响的染色体上寻找候选基因,并用qRT-PCR和免疫组织化学验证结果。
基因表达和染色体不稳定性数据的整合揭示了这两种数据类型之间的相似性。监督分析确定在1q增加的病例中EFNA1上调,且EFNA1表达与一个靶基因(VEGF)的表达相关。参与核糖体生物合成并与染色体不稳定性相关的BOP1基因在8q增加的病例中过度表达。SMAD2是18q上最下调的基因,而在20q上,STMN3和TGIF2高度上调。SMAD4的免疫组织化学与SMAD2基因表达和18q缺失相关。
基于综合分析,本研究确定了一个众所周知的结直肠癌基因(SMAD2)和其他几个基因(EFNA1、BOP1、TGIF2和STMN3),它们可能可用于直肠癌的特征描述。