Related Experiment Videos
Keynote lecture. Etiologic insights from cancer mapping
1Epidemiology and Biostatistics Program, National Cancer Institute, Bethesda, Maryland 20892.
Summary
Cancer mapping reveals geographic patterns linked to environmental and lifestyle factors. Analysis of mortality data identified causes for lung, oral cancers, and non-Hodgkin
Area of Science:
- Epidemiology and Biostatistics
- Environmental Health
- Public Health
Background:
- The U.S. National Cancer Institute's epidemiology program initiated systematic efforts in the 1970s to detect cancer clusters.
- Analysis focused on county-level mortality patterns, balancing population size for data reliability and homogeneity.
- Early mapping revealed diverse geographic patterns in cancer mortality rates from 1950-1969.
Purpose of the Study:
- To describe how geographic patterns identified potential causes of various cancers.
- To explore the progression from descriptive and correlational studies to analytical investigations.
- To highlight the utility of small-area cancer mapping for identifying environmental and lifestyle determinants.
Main Methods:
- Systematic analysis of county-level cancer mortality data.
- Computer-generated color-coded maps to visualize geographic patterns.
- Progression of studies: descriptive, correlational, and analytical to investigate elevated risks.
Main Results:
- High lung cancer rates in men linked to asbestos exposure in shipyards.
- Elevated oral cancer rates in rural southern women associated with smokeless tobacco use.
- Updated maps (1970-1980) showed some rate uniformity but identified new high-risk areas for lung, oral cancers, and non-Hodgkin's lymphoma, potentially linked to smoking and agricultural exposures.
Conclusions:
- Small-area cancer mapping is an effective strategy for generating and pursuing leads on cancer determinants.
- The mapping approach has successfully stimulated and targeted research into cancer origins and prevention globally.
- Environmental and lifestyle factors significantly contribute to observed geographic variations in cancer mortality.