2004
DOI: 10.1289/txg.6343
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Applying New Biotechnologies to the Study of Occupational Cancer ? A Workshop Summary

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Cited by 8 publications
(7 citation statements)
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“…Ceramic workers have elevated risk of chronic silicosis, cancer, renal and autoimmune diseases (15). There is a need for a reliable biomarkers to predict the likelihood of these diseases (16). The human hematopoietic system is extremely sensitive to some environmental influences because of rapid synthesis and destruction of cells with consequent heavy metabolic demand (17).…”
Section: Discussionmentioning
confidence: 99%
“…Ceramic workers have elevated risk of chronic silicosis, cancer, renal and autoimmune diseases (15). There is a need for a reliable biomarkers to predict the likelihood of these diseases (16). The human hematopoietic system is extremely sensitive to some environmental influences because of rapid synthesis and destruction of cells with consequent heavy metabolic demand (17).…”
Section: Discussionmentioning
confidence: 99%
“…Improvements in understanding the mode of carcinogenic actions strengthened the search for biomarkers. Now today, biomarkers in chemical carcinogenesis can be classified into three different categories: biomarkers of internal exposure, of early biological effects, and of cancer risk [92,93]. While most of the biomarkers mainly provide information on the exposure to chemicals, little progress has been made in developing new eras, more sensitive indicators of preclinical effects indicating cancer risk.…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…15 Interpretation of such an enormous amount of data is, however, not trivial and it requires specialized bioinformatics and biostatistical approaches for interpretation. Basically, the information from these investigations can be grouped into three categories or profiles that are based on variations in DNA sequence (using DNA microarrays), gene expression (using gene expression arrays), and protein expression (using proteomic analysis).…”
Section: Genomic Biomarkersmentioning
confidence: 99%