Other processes, including the development of cancer, also follow these three phases.
During the malignant process, our cellular networks slowly accumulate minor variations with
no apparent clinical or microscopic changes. This is followed by bursts of activity leading to
obvious premalignant or malignant changes (Cross 2016). Once malignant, the cancer may
become more aggressive (dedifferentiation) or accumulate only minor changes. Similarly, in
evolution, the theory of punctuated equilibrium describes prolonged periods of apparent
stasis (i.e. no new species) followed by bursts of new species (Eldredge & Gould 1972).
During the “quiet” periods and after the “burst” phase, minor changes in the genetic code are
accumulating, albeit without being noticed.
The theory of self-organized criticality, which also describes earthquakes and stock market
crashes, helps us understand these phases (Bak, How Nature Works 1999). Many
systems, both biologic and sociological, are networks poised at a critical state in which small
disturbances typically cause no network changes, occasionally cause small network changes
and rarely set off a cascade of changes in the initial network and those it interacts with. By
analogy, individual grains of sand dropped on a sandpile usually have no apparent impact,
occasionally cause small avalanches and rarely cause the entire sandpile to collapse.
Dropping a single grain of sand with no apparent impact causes small structural changes in
the sandpile that ultimately may enable an additional grain to set off an avalanche. According
to Kauffman, these “minor” changes build up connections between elements in the network
until a “phase transition” occurs in which so many connections exist that the network
elements act together as a whole, instead of as individual elements. When a large enough
number of “reactions” are catalyzed, a vast web of reactions will suddenly crystallize and
produce dramatic change (Kauffman, At Home in The Universe, page 58).
For cancer research, individual researchers typically study short segments of the “web” of
activity that constitutes cancer. When enough segments are understood, and there are
enough connections made between their work, we anticipate that this web of collaborations
will produce an explosion of new ideas and more effective treatments.
In contrast, the theory of gradualism proposes that major changes occur due to the steady
accumulation of small changes that produce visible differences. Gradualism is logical and
predictable and was promoted by Darwin (Gould 1983), but it does not accurately describe
evolution, malignant progression or the resolution of disease (Sun 2018).
The acceleration of prevention activities will also reduce cancer deaths, but this typically has
a long lead time. For cigarette smoking, one of the most important preventable causes of
cancer deaths, reductions in lung cancer deaths in men, only began 20 years after the
groundbreaking Surgeon General’s Report on Smoking and Cancer.