I densification of genes regulating colorectal carcwageuesis by using the algorithm for disguising malignant state method

应用基因芯片技术对不同分期的大肠肿瘤(腺瘤7例，癌16例)的基因表达谱进行了研究，筛选出335个具有CA状态特征的克隆，建立了诊断恶性状态的算法。然后，我们将ADMS应用于另外12个样本(5个来自有转移的原发灶，7个来自转移灶)；所有16个CA和12个转移瘤都被正确诊断为癌症状态。虽然七例ADS中有三例被诊断为“癌”，但其中两例肿瘤的巨大体积表明它们有潜在的恶性。我们选择具有恶性状态特征的克隆的策略广泛适用于诊断和预测多步骤致癌物的进展阶段。在我们选择的335个克隆中，有135个是已知基因。这135个基因中包括肿瘤抑制基因和生长因子相关基因，与文献报道一致。ADMS是识别对癌症诊断有用的基因的可靠手段。

We studied the expression profiles of various stages of colorectal tumors (adenoma (AD), seven samples; carcinoma (CA), 16 samples) by using cDNA micro arrays and developed ADMS (algorithm for diagnosing malignant state) method, selecting 335 clones characteristic of CA state. We, then, applied ADMS to 12 additional samples (five from primary lesions with metastasis and seven metastases); all 16 Cas and 12 metastasis tumors were diagnosed correctly as cancerous states. Although three of the seven Ads were diagnosed as "cancerous", the large size of two of these tumors suggested their potential malignancy. Our strategy for selecting clones characteristic of the malignant state is widely applicable to diagnosis and for predicting the stage of progression during multistep carcinogens. Of the 335 clones we selected, 135 were known genes. Included in the 135 genes were tumor suppressor and growth factor-related genes and were consistent with the literature. ADMS is a reliable means for identifying genes useful for the diagnosis of cancer.