Cancer & BLOS
BLOS may be causing (1) different cancers and (2) failure in Phase 2 clinical trials of experimental drugs for treating cancer (and other diseases).
How could BLOS be causing different cancers?
Here are a few facts to consider:
Consider the following tables that use available cancer rates that are corrected for the mass of the targeted organ or tissue type. I've highlighted the cancer rates that may be higher due to long-term elevated BLOS. Endocrine glands and sex organs have very high specific cancer rates (# cancers/g), which suggests sensitivity to ROS. Type 2 Diabetes is due to ROS inhibition of insulin production by the Pancreas, which is consistent with the elevated cancer rates. In other words, the hormone production by the Pancreas (and probably the Thyroid) is sensitive to ROS concentration, which suggests little or no protection against ROS compared to other organs or tissue type. This lack of antioxidant protection is most likely a feature of the human body (and animals, in general). It is an evolutionary feature of animals that the Pancreas and Thyroid are sensitive to ROS concentration. Elevated BLOS levels are probably a feature of a secondary host response to an anaerobic infection of a wound.
Simple animal studies can determine whether elevated BLOS increases the risk of cancer. This is the approach used by medical researchers to evaluate potential carcinogens. If you're interested in learning more about BLOS and its role in Cancer, then send me a message below.
NEW: Here's a link below to the PDF for my new BLOS# model that predicts the risk of various cancers using age and health state. Four different health states (Healthy, Overweight, Obese, and Type 2 Diabetes) corresponding to average BLOS# values were used to calculate the annual incidence rate for various cancers including: prostate, pancreas, bladder, liver, thyroid, ovary, and breast.
A new phone app may be possible that can use a person's past, present, and future health state to predict the risk of various cancers. Here's an example, where a person inputs a life history that includes an increase in weight that peaks between 40-50.