Cancer Is More Bad Luck Than Bad Behavior, Study Says
bloomberg.com
bloomberg.com
If cancer were only about a mutation happening randomly, you'd expect the curve to actually slope downwards, like an exponential distribution.
But maybe cancer requires several mutations to happen in a row, which would suggest an Erlang distribution of which we only see the beginning of the hump. 20 mutations give a very good curve fit (1).
An alternative hypothesis is senescence. Maybe the mutation rate itself increases with age, or maybe the immune system isn't as able to nip cancerous growths in the bud.
This is important! Whenever the impact of a disease doesn't follow a chi squared or exponential distribution, it suggests two ways to fight the disease. Directly target the disease itself, or target the process which over time makes us more susceptible to it.
(1) warning, back of the envelope, there are plenty of other effects to account
Cells that deviate from what they're supposed to do are either (in order), repaired, silenced, voluntarily commit suicide, or are killed. There are proteins (genes) that are the final judges for each of these processes - and have 'go, no-go' power. Only if all of these judges are killed do you get a cell that can do anything it wants - like replicate uncontrollably to the detriment of the host ('cancer'). Thus the statistics of getting cancer roughly follow the idea that you have to get random DNA modifications of those exact 5 genes, in a single cell. Lots of things can increase your random modification rate (UV, smoke, radiation, etc). Some of these things correlate though - and again, what hurts one cell, might hurt its neighbor just as bad. They're not entirely independent events. For example, losing your DNA repair machinery (this is what HPV does - it silences your DNA repair machinery) amps up the baseline mutation rate and makes further mutations more likely (dependent correlations then arise).
The Brca gene that has caused so much controversy in patent law (whether a test for its existence could be patented) and indicates whether a person might or might be susceptible to breast cancer, is the master repair technician of the cell. In people who have this gene in working order, the Brca gene signs off on whether the cell is in need of repair. But if the Brca is not it working order, cells that are in need of repair might not get it, and instead are allowed to more freely operate under non-optimal internal conditions. If you are missing or have a mutated version of Brca, you are missing one of the checkpoint processes.
So again, we quite clearly know of a handful of genes which do most of the master regulation of a cell's job - and if these jobs go unfulfilled - by having their blueprints be damaged by the environment - you have fewer and fewer mechanisms to prevent that single cell from runaway growth.
It is possible for expanded cancer screening programs to produce the illusion that rates of age-adjusted cancer diagnosis have increased because of a real increase in cases of cancer,[3] but what is really going on with increased screening is increased detection of early cases of cancerous growths that eventually die off and never cause clinical disease. The human body has some defenses against cancer, and many cancers reach a growth dead-end not long after starting. Screening programs sometimes detect harmless cancers that don't need any treatment except watchful waiting.
[1] http://www.reuters.com/article/2014/12/31/us-cancer-casualti...
http://www.bloomberg.com/dataview/2014-04-17/how-americans-d...
http://www.slate.com/articles/health_and_science/science_of_...
[2] http://www.nature.com/scientificamerican/journal/v307/n3/box...
[3] http://www.sciencebasedmedicine.org/recent-developments-and-...
[1] http://www.lung.org/stop-smoking/about-smoking/health-effect...
http://www.cancer.net/navigating-cancer-care/prevention-and-...
(These numbers totally made up)
Perhaps people who are likely to exercise have a certain genetic disposition to begin with.
In effect, the scientific article shows how we could predict which tissues are most likely to become cancerous if we had no population statistics on cancer. That is, we could look at the rate of cell divisions in a tissue and say "Oh yeah, divisions occur frequently here, so there are going to be more cancers in this particular type of tissue."
The scientific article does NOT say that the cancer which has arisen in random person X is mostly due to "bad luck" in person X. If person X smokes 4 packs of cigarettes per day, the person's risk of lung cancer is certainly affected. Of course, there is still some element of luck (not every heavy smoker gets lung cancer), but you can think of it like using loaded dice at the time of each DNA replication... loaded dice don't turn up snake eyes every time, but they certainly change the odds, and if you were playing craps there is no way you would want to use loaded dice.
My reaction to the scientific article is... yawn. The result could have been predicted. Cancer is a disease of DNA replication. It makes sense that clinical problems arising from DNA replication would occur most often in places having the most DNA replication events. But it's nice to have experimental verification.
More research should reveal that it's more than just pure luck :)