This is my third essay about curing cancer using the principles of complexity theory. It
outlines my recommendations for curative treatment for advanced adult cancers with a poor
prognosis, such as lung and pancreatic cancer.
Curative treatment should address the following principles:
I. Network medicine. Adult cancer is a systemic disease. It arises and is maintained due to
dysfunctional cellular networks, not just mutated genes. Advanced disease is due to an
altered systems biology (Koutsogiannouli 2013) with changes in networks beyond the
tumor that typically will not revert to normal if the tumor is destroyed. Thus, focusing on
“network medicine” is mandatory (Barabási 2011).
In contrast, cancer in children and young adults may not be a systemic disease because it is
due to inherited or developmental mutations that primarily affect only the tumor cells
(Kentsis 2020). Unlike adult cancer, it is not due to risk factors and there may be minimal
involvement of the inflammatory system, immune system and hormonal pathways (Curing
Cancer – Part 2).
II. Blocking multiple pathways. Disabling the activity of a dysfunctional network often
requires drug combinations because networks interact in a weblike manner and can readily
bypass a single block in a particular pathway. For cancers of children and young adults,
curative treatment typically requires at least 3 to 5 drugs to block pathways sufficiently to
disrupt the cancer network (Mukherjee: The Emperor of All Maladies 2010).
III. Combinations of combinations of treatment. Since adult tumors are due to dysfunction
in many key systemic networks (see below), each often requiring a different set of
combinatorial therapies, curative therapy may involve combinations of combinations of
treatment.
IV. Monitoring key networks. To optimize treatment, it is important to monitor the status of
these key networks as treatment is given: the inflammatory process in general, the immune
system’s antitumor capabilities, the tumor’s microenvironment, unicellular type networks that
promote malignant properties, embryonic networks that promote lack of cell differentiation,
hormonal expression that promotes tumor growth and inherited changes that promote
malignant behavior. For each of these networks, we must determine what biological
molecules to monitor, how best to do so, how changes in their expression should affect
treatment and how these values will impact long term survival rates.