Molecular-pathological prognostic factors of gastric cancer: a review

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 us...

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Veröffentlicht in:Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 2005-05, Vol.8 (2), p.86-94
Hauptverfasser: Yasui, Wataru, Oue, Naohide, Aung, Phyu Phyu, Matsumura, Shunji, Shutoh, Mariko, Nakayama, Hirofumi
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Sprache:eng
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Zusammenfassung: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.
ISSN:1436-3291
1436-3305
DOI:10.1007/s10120-005-0320-0