We may need to develop 30 or more partially effective therapies to choose from to get
the 8-10 therapies that are substantially effective in combination. But even so, it will be
difficult to determine which combination of drugs will be most effective and how to
optimally administer them. If there are 30 partially effective drugs against pancreatic
cancer, then there are 6 million combinations of 8 drugs (11). Using machine learning,
cell lines and animal models may be helpful to determine which combinations should
be tested using clinical trials (1).
Our framework for thinking and talking about cancer must change. Adult cancers are
due to marked changes in systemic networks, not to a single local problem, and so
cannot be “fixed” with a single therapy. Thus, we should stop talking about cures due to
“silver bullets”. In addition, particularly for adult cancers, we should focus on managing
cancer to reduce related deaths and symptoms, not on removing all cancer cells from
the body.
How you can help:
Follow our Curing Cancer Blog at https://natpernickshealthblog.wordpress.com .
Sign up for our Curing Cancer Network monthly newsletter by clicking at
https://lp.constantcontactpages.com/su/onz6IND .
Become an example to others of anti-cancer behavior. Read our American Code
Against Cancer at http://www.natpernick.com/AmericanCodeAgainstCancer.html,
decide what steps you can take to reduce your cancer risk and spread the word
through your social networks.
Contact me at Nat@PathologyOutlines.com with your suggestions or thoughts.
References:
1. Pancreas treatment targets –
http://natpernick.com/Pancreatic%20Cancer%20Treatment%20Targets.html
2. Cancer Facts & Figures 2021, https://www.cancer.org/content/dam/cancer-
org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2021/cancer-
facts-and-figures-2021.pdf
3. Rahib 2014, https://pubmed.ncbi.nlm.nih.gov/24840647
4. Pernick 2021, http://www.natpernick.com/PancreaticcancerFeb2021.html
5. SEER, https://seer.cancer.gov/statfacts/html/pancreas.html, accessed 1Sep21
6. Rhim 2012, https://pubmed.ncbi.nlm.nih.gov/22265420/
7. Muraki 2020, https://pubmed.ncbi.nlm.nih.gov/32336556/
8. Funabili 2009, https://pubmed.ncbi.nlm.nih.gov/18500533/