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Mechanisms of Antimutagenesis and Anticarcinogenesis: Role in Primary Prevention

  • Silvio De Flora
  • Alberto Izzotti
  • Carlo Bennicelli
Part of the Basic Life Sciences book series (BLSC, volume 61)

Abstract

Figure 1 reports the possible intervention strategies against cancer, as related to the multistep carcinogenesis process and to growth of the neoplastic mass. Similar concepts may hold true for other mutation-related conditions and, in general, for those chronico-degenerative diseases having a multifactorial origin, a multistep pathogenesis, and a long latency period. Keeping in mind that the neoplastic mass is of monoclonal origin, and assuming a regular doubling of the population of neoplastic cells, 30 cell divisions will be needed to form a mass of 10 9 cells from a single cell undergoing initiation. Very approximately, this mass may weigh 1 g. At this stage, depending on many variability factors, it may be possible to apply secondary prevention, involving early detection and therapy. Otherwise, in 3.25 further divisions the mass will be composed of 10 10 cells and weigh 10 g. At this stage, which may already involve invasion and spread of metastases, the disease will become clinically manifest and will be treated with the most suitable therapeutic protocol. This intervention will be followed by tertiary prevention, which aims at avoiding relapses, complications, metastases, and second primitive tumors. In the absence of any medical intervention, in 10 cell divisions only (i.e., from the 30th to the 40th division), the neoplastic mass will grow from 1 g to as much as 1 kg (20). Although this computer-drawn growth is a mathematical oversimplification and does not take into account possible natural regressions of the disease, it gives an idea of the paramount importance of early detection and explains the difficulties that are encountered in cancer therapy when the disease becomes clinically manifest.

Keywords

Primary Prevention Ellagic Acid Sorbic Acid Tertiary Prevention Sulfamic Acid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Silvio De Flora
    • 1
  • Alberto Izzotti
    • 1
  • Carlo Bennicelli
    • 1
  1. 1.Institute of Hygiene and Preventive MedicineUniversity of GenoaGenoaItaly

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