Yasui Wataru, Oue Naohide, Aung Phyu Phyu, Matsumura Shunji, Shutoh Mariko, Nakayama Hirofumi
Department of Molecular Pathology, Hiroshima University Graduate School of Biomedical Sciences, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Gastric Cancer. 2005;8(2):86-94. doi: 10.1007/s10120-005-0320-0.
Invasion and metastasis are critical determinants of cancer morbidity. Genes and molecules participating in these steps must be regarded as potential prognostic factors. Growth factors and their receptors, cell-cycle regulators, cell-adhesion molecules and matrix-degrading enzymes are those to be used as prognostic factors, including epidermal growth factor (EGF), EGF receptor, K-sam, HER-2, interleukin (IL)-8, vascular endothelial growth factor (VEGF), cyclin E, p27, E-cadherin, CD44v6, matrix metalloproteinase-1 (MMP-1), and tissue inhibitor of matrix metalloproteinase-1 (TIMP-1). Alterations in epigenetics, such as aberrant DNA methylation and histone modification that are, in part, associated with the tumor progression of gastric cancer, can be candidate prognostic factors. The number of methylated genes may serve as a marker of tumor progression. Genetic polymorphism not only affects cancer susceptibility but also influences malignant phenotype; examples include single-nucleotide polymorphism in the HER-2 and MMP-9 genes. Comprehensive gene expression analyses are useful to search for novel genes related to invasion and metastasis and potential prognostic factors. Serial analysis of gene expression (SAGE) has identified several these genes, such as CDH17, APOE, FUS, COL1A1, COL1A2, GW112, and MIA. Overexpression of MIA is found to be associated with poor prognosis. Microarray analysis has great potential for identifying the characteristics of individual cancers, from the view point of gene expression profiles. A combination of these examinations can not only foretell a patient's prognosis but can also give information directly connected with personalized cancer medicine and prevention.
侵袭和转移是癌症发病率的关键决定因素。参与这些过程的基因和分子必须被视为潜在的预后因素。生长因子及其受体、细胞周期调节因子、细胞粘附分子和基质降解酶等都可作为预后因素,包括表皮生长因子(EGF)、EGF受体、K-sam、HER-2、白细胞介素(IL)-8、血管内皮生长因子(VEGF)、细胞周期蛋白E、p27、E-钙粘蛋白、CD44v6、基质金属蛋白酶-1(MMP-1)和基质金属蛋白酶组织抑制剂-1(TIMP-1)。表观遗传学改变,如异常的DNA甲基化和组蛋白修饰,部分与胃癌的肿瘤进展相关,可作为候选预后因素。甲基化基因的数量可作为肿瘤进展的标志物。基因多态性不仅影响癌症易感性,还影响恶性表型;例如HER-2和MMP-9基因中的单核苷酸多态性。综合基因表达分析有助于寻找与侵袭和转移相关的新基因以及潜在的预后因素。基因表达序列分析(SAGE)已鉴定出一些此类基因,如CDH17、APOE、FUS、COL1A1、COL1A2、GW112和MIA。发现MIA的过表达与不良预后相关。从基因表达谱的角度来看,微阵列分析在识别个体癌症特征方面具有巨大潜力。这些检查的组合不仅可以预测患者的预后,还可以提供与个性化癌症医学和预防直接相关的信息。