Wiese Anja H, Auer Johannes, Lassmann Silke, Nährig Jörg, Rosenberg Robert, Höfler Heinz, Rüger Rüdiger, Werner Martin
Institut für Allgemeine Pathologie und Pathologische Anatomie, Klinikum rechts der Isar, Technische Universität München, München, Germany.
Cancer Detect Prev. 2007;31(4):282-95. doi: 10.1016/j.cdp.2007.07.003.
Gene signatures of sporadic colorectal carcinoma tissues and microdissected colorectal tumor cells were analyzed to identify stromal and tumor cell-specific markers, respectively.
Serial sections of frozen colorectal tumors (n=29) were subjected to RNA isolation of (1) entire tissue sections with a various tumor cell content and of (2) microdissected invasive tumor cells. Three matching samples of microdissected normal colorectal epithelial and invasive tumor cells were similarly obtained. RNA samples were analyzed using the HG95A and HG95Av2 GeneChip microarrays (Affymetrix). The microarray data was evaluated by established methods and validated by Q-RT-PCR.
Unsupervised hierarchical cluster analysis of 18 sample pairs (training set) clearly distinguished tumors from microdissected tumor cells. A 149-gene signature was identified using statistical methods, which was then validated by a hierarchical clustering analysis of 11 independent sample pairs (test set). Genes specifically associated with microdissected invasive tumor cells were for example CKS2 and NME1. In contrast, genes associated with stromal cells were for example MMP2, SDF1 and FBLN2. Finally, a 65-gene signature distinguished normal colorectal epithelial cells and invasive tumor cells, including down-regulation of BMP2 and ANPEP mRNA expression as well as up-regulation of TKT, SPARC, MCM5 mRNA expression.
Our approach allowed precise evaluation of molecular signatures in morphologically defined cell populations and identified novel target genes related to stroma-tumor interactions in colorectal cancer. The approach enables further analysis of gene signatures in different tumor areas and cell types, such as within invasive margins to decipher molecular mechanisms of colorectal cancer invasion and metastasis.
对散发性结直肠癌组织和经显微切割的结直肠肿瘤细胞的基因特征进行分析,以分别鉴定基质细胞和肿瘤细胞特异性标志物。
对29个冷冻结直肠肿瘤的连续切片进行RNA分离,其中包括(1)具有不同肿瘤细胞含量的整个组织切片,以及(2)经显微切割的浸润性肿瘤细胞。同样获取了3对经显微切割的正常结直肠上皮细胞和浸润性肿瘤细胞的匹配样本。使用HG95A和HG95Av2基因芯片微阵列(Affymetrix)对RNA样本进行分析。通过既定方法评估微阵列数据,并通过Q-RT-PCR进行验证。
对18个样本对(训练集)进行无监督层次聚类分析,清晰地将肿瘤与经显微切割的肿瘤细胞区分开来。使用统计方法鉴定出一个149个基因的特征,随后通过对11个独立样本对(测试集)进行层次聚类分析进行验证。与经显微切割的浸润性肿瘤细胞特异性相关的基因例如有CKS2和NME1。相比之下,与基质细胞相关的基因例如有MMP2、SDF1和FBLN2。最后,一个65个基因的特征区分了正常结直肠上皮细胞和浸润性肿瘤细胞,包括BMP2和ANPEP mRNA表达的下调以及TKT、SPARC、MCM5 mRNA表达的上调。
我们的方法能够精确评估形态学定义的细胞群体中的分子特征,并鉴定出与结直肠癌中基质-肿瘤相互作用相关的新靶基因。该方法能够进一步分析不同肿瘤区域和细胞类型中的基因特征,例如在浸润边缘内,以解读结直肠癌侵袭和转移的分子机制。