The data from both studies will be analyzed to account for subject gender, stage of disease at time of testing, concurrent diseases, alcohol and tobacco use and occupational characteristics. This is an important first step in validating a cancer detection method that can be implemented economically for screening of large numbers of people at sites remote from limited and expensive diagnostic instrumentation. Thus there is a possibility that this design can be prognosis biomarker as well as a positive/negative indicator.