
pmid: 9046056
handle: 10201/18921
Despite the remarkable advances in cancer treatment, the 5-year survival rate for head and neck squamous cell carcinoma (HNSCC) has improved only marginally over the past 20 years. Investigators have attempted to develop new therapeutic methods to improve the survival rate from these tumors. Another approach, chemoprevention, has recently been tried to reduce cancer incidence. Biological understanding of tumorigenesis is critically important to provide risk assessment and intermediate end points during chemoprevention trials. Based on the fact that HNSCC develops through a multistep process by the accumulation of genetic and phenotypic changes in the field exposed to carcinogens, the investigation of specific biomarkers that represent each step must be valuable, since these biomarkers could be used to inhibit and/or to reverse the pathway of carcinogenesis. The potential biomarkers are classified as nonspecific and specific genetic biomarkers, proliferation markers, and differentiation markers in this review. Their usefulness in predicting tumors' biological behavior and responses to treatment and in monitoring the preventive effects of chemoprevention trials is also discussed.
Genetic Markers, CDU::6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología, :6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología [CDU], Cell Differentiation, Oncogenes, Prognosis, Head and Neck Neoplasms, Biomarkers, Tumor, Carcinoma, Squamous Cell, Humans, Genes, Tumor Suppressor, Receptors, Growth Factor, Growth Substances, Biomarkers, Cell Division
Genetic Markers, CDU::6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología, :6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología [CDU], Cell Differentiation, Oncogenes, Prognosis, Head and Neck Neoplasms, Biomarkers, Tumor, Carcinoma, Squamous Cell, Humans, Genes, Tumor Suppressor, Receptors, Growth Factor, Growth Substances, Biomarkers, Cell Division
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
