acting over long periods. Thus, adult cancers need additional combinations of treatment that
target the more diverse primary cancer, the cancer cell microenvironment and the systemic
networks that nurture and promote cancer growth.
For each specific cancer type, we propose that successful treatment is possible using
combinations of therapies with some demonstrated impact on the attributes of the malignant
process listed below. Although no therapy may individually eradicate the cancer,
combinations of these partially effective therapies may damage the related biologic webs
sufficiently to lead to prolonged patient survival. Subsequently, we can refine these
preliminary successes to further improve survival and reduce side effects (see Curing
Cancer Blog – What will success look like in the war on cancer? 2021). We propose
creating a summary for each cancer type of its cancer related attributes and known therapies
for use by oncologists to create combinations to test – click here for the current summary for
pancreatic adenocarcinoma.
These are the general malignant attributes to target, which must be refined for each cancer
type:
Malignant attributes of the primary cancer, including rapid cell growth, cell migration,
resistance to apoptosis, immature phenotypes; driver mutations and their networks, networks
promoting unicellular type programming; resistance to disruptions to their cancer attractor
states that prevent changes to their malignant phenotypes.
Features of the microenvironment that sustain the cancer, including inflammation,
vasculature, stroma and the extracellular matrix.
Associated systemic networks which promote cancer growth, including chronic
inflammation, immune system dysfunction and hormonal production (estrogens, androgens
and insulin) (Curing Cancer Blog – Part 8 – Strategic Plan, 2021).
Germline variations of genes promoting the above features.
Patients can only tolerate a limited number of therapies at one time. Determining which
combinations of therapies work optimally together and how to administer them will require
extensive clinical trials, although deep learning and other computational approaches may be
helpful (How Pancreatic Cancer Arises, Based on Complexity Theory, 2021).
We also need to better understand, treat and minimize cancer deaths occurring shortly
after diagnosis, whether due to treatment side effects, infections or severe disruptions to
important physiologic systems (Curing Cancer blog – part 9 – How cancer kills, 2021).
To improve survival for cancer types typically associated with longer survival, we should also
promote behavior changes in patients to reduce risk factors for additional cancers. To reduce
the incidence of cancer in general and promote better patient care, we need to optimize our
public health system. A well run public health system acts as a behavioral immune system to