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This theory, called the "Immune Surveillance Theory" was a popular idea until recently. Unfortunately studies using mice lacking all T-cells and B-cells (T-cells appear to be the main anti-cancer cell in our bodies) found that these mice didn't have higher incidences of cancer then did "normal mice". Since that experiment several other experiments have confirmed these results. As such most immunologists no longer believe this theory. This came as a big disappointment to many of us, as there is no question in the scientific literature that you can generate successful immune responses against tumours, but these seem to be rare outside of the laboratory.I understand that human bodies have cancers all the time and constantly throughout life but these cancers never develop because the body immune system destroys the cancer before it becomes out of control. I do not know how true that picture is. But let us say there is some truth to the idea.
Not necessarily. Most age-related disease (cancer, heart disease, diabetes, etc., etc., etc.) have both genetic and environmental factors associated with them. To make things worse most of these diseases involve many genes, none of which guarantee disease, but each of which increase your risk of getting the disease. So if you find a very old healthy person there is no guaranteed a genetic sequence will tell you anything - they may have "risk" genes but have never been exposed to environmental factors, and thus didn't develop the disease. Likewise, a person with a disease (i.e. lung cancer) may have none of the genetic factors associated with that disease, but were heavily exposed to an environmental factor (i.e. smoking) which caused the disease.Since we have genome project with the ability to map the entire genome of an individual. Then it would make much sense to map the genome of the oldest humans alive because their genetic coding is more resistant to disease especially cancer than the majority of other genomes.
But how do you identify what is different from the rest of us? Today we only have 1 "complete" human genome, so we don't exactly have a lot to compare to. Even with modern genome sequencing equipment it still will take at least one year to sequence a human genome (likely longer), so this would be a very inefficient approach. And if you had a large enough data base you would still be looking for the same things we look for today - common markers within the genome which are associated with a disease. The traditional techniques of looking for disease-linked markers has been very successful to date, and will remain far more effective then your idea for many years to come. Until we can sequence the entire genome of a person in a resonable amount of time your technique will be much slower then what we currently use.So, it would make sense to contact the oldest humans around for DNA and to map their entire genome and then compare those genomes for answers as to why they can live so long without contracting cancer or many other diseases.
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