Gene expression profiling:Canonical molecular changes and clinicopathological features in sporadic colorectal cancers

瞄准：为了调查其他或辅助的小径，在颜色包含了表面的肿瘤发生和肿瘤生长，可能决定在风险人口并且预言回答到治疗。方法：用微数组基因表示分析，我们在 84 分散的颜色相对正规分子的变化和 clinicopathological 特征分析了基因表示的模式表面的癌症病人，由肿瘤地点标准化了。差别的子集表示了基因被即时反向抄本的聚合酶链反应(RT-PCR ) 证实。结果：作为差别正在被表示识别的基因的最大的数字由 lymphovascular 或肿瘤房间并且由失配修理(MMR ) 的神经侵略由肿瘤地点，和下一个最大的数字缺点。在生物过程之中，有免疫力的反应显著地在在颜色期间观察的全部分子的变化被含有表面的肿瘤发生(P 【 0.001 ) 。在 47 之中，差别表示了基因，(PISD， NIBP， BAI2， STOML1， MRPL21， MRPL16，和 MKKS ) 七最新被发现与肿瘤发生和肿瘤生长相关。最联系地点的分子的变化在基因表示上有不同效果，但是后者的效果有时是矛盾的。结论：我们证明几差别表示了基因在分散的颜色与正规分子的变化被联系表面的癌症，可能组成肿瘤发生的其他或辅助的小径。因为肿瘤地点是影响微分基因表示的主导的因素，地点特定的分析可以识别联系地点的小径并且提高班预言的精确性。

AIM： To investigate alternative or subordinate pathways involved in colorectal tumorigenesis and tumor growth, possibly determining at-risk populations and predicting responses to treatment. METHODS： Using microarray gene-expression analysis, we analyzed patterns of gene expression relative to canonical molecular changes and clinicopathological features in 84 sporadic colorectal cancer patients, standardized by tumor location. Subsets of differentially expressed genes were confirmed by real-time reverse-transcript polymerase chain reaction （RT-PCR）. RESULTS： The largest number of genes identified as being differentially expressed was by tumor location, and the next largest number by lymphovascular or neural invasion of tumor cells and by mismatch repair （NMR） defects. Amongst biological processes, the immune response was significantly implicated in entire molecular changes observed during colorectal tumorigenesis （P 〈 0.001）. Amongst 47 differentially expressed genes, seven （PISD, NIBP, BAI2, STOML1, MRPL21, MRPL16, and MKKS） were newly found to correlate with tumorigenesis and tumor growth. Most location-associated molecular changes had distinct effects on gene expression, but the effects of the latter were sometimes contradictory. CONCLUSION： We show that several differentially expressed genes were associated with canonical molecular changes in sporadic colorectal cancers, possibly constituting alternative or subordinate pathways of tumorigenesis. As tumor location was the dominant factor influencing differential gene expression, location-specific analysis may identify location-associated pathways and enhance the accuracy of class prediction.