We are analyzing https://link.springer.com/article/10.1007/s10120-005-0320-0.

Title:
Molecular-pathological prognostic factors of gastric cancer: a review | Gastric Cancer
Description:
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.
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Keywords {🔍}

cancer, gastric, article, prognostic, factors, genes, privacy, cookies, search, gene, content, analysis, information, publish, phyu, expression, data, journal, research, download, yasui, oue, aung, potential, growth, factor, progression, polymorphism, related, open, access, january, discover, optional, personal, including, parties, policy, find, track, molecularpathological, review, cite, pdf, manuscript, wataru, naohide, shunji, matsumura, mariko,

Topics {✒️}

molecular-pathological prognostic factors candidate prognostic factors genetic polymorphism potential prognostic factors affects cancer susceptibility personalized cancer medicine gastric cancer gastric cancer 8 serial analysis related subjects privacy choices/manage cookies prognostic factors gene expression profiles article yasui european economic area cell-cycle regulators aberrant dna methylation influences malignant phenotype malignant epithelial cells conditions privacy policy key genes cell-adhesion molecules phyu phyu aung matrix-degrading enzymes accepting optional cookies cancer morbidity search search molecular pathology article cite gene expression growth factors journal finder publish genes related usage analysis epigenetics microarray analysis characteristics privacy policy personal data books a optional cookies information manage preferences data protection great potential essential cookies cookies skip molecules participating journal publish matrix metalloproteinase-1

Schema {🗺️}

WebPage:
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         headline:Molecular-pathological prognostic factors of gastric cancer: a review
         description: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.
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ScholarlyArticle:
      headline:Molecular-pathological prognostic factors of gastric cancer: a review
      description: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.
      datePublished:
      dateModified:
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      pageEnd:94
      sameAs:https://doi.org/10.1007/s10120-005-0320-0
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         Prognostic factor
         Gastric cancer
         Epigenetics
         Genetic polymorphism
         Serial analysis of gene expression
         Surgical Oncology
         Oncology
         Abdominal Surgery
         Gastroenterology
         Cancer Research
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      name:Department of Molecular Pathology, Hiroshima University Graduate School of Biomedical Sciences, Hiroshima, Japan

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