Last week, I wrote a magnum opus of a movie review of a movie about a physician and “researcher” named Stanislaw Burzynski, MD, PhD, founder of the Burzynski Clinic and Burzynski Research Institute in Houston. I refer you to my original post for details, but in brief Dr. Burzynski claimed in the 1970s to have made a major breakthrough in cancer therapy through his discovery of anticancer substances in the urine that he dubbed “antineoplastons,” which turned out to be mainly modified amino acids and peptides. Since the late 1970s, when he founded his clinic, Dr. Burzynski has been using antineoplastons to treat cancer. Over the last 25 years or so, he has opened a large number of phase I and phase II clinical trials with little or nothing to show for it in terms of convincing evidence of efficacy. Worse, as has been noted in a number of places, high doses of antineoplastons as sodium salts are required, doses so high that severe hypernatremia is a concern.
Although antineoplastons are the dubious cancer therapy upon which Dr. Burzynski built his fame, they aren’t the only thing he does. Despite the promotion of the Burzynski Clinic as using “nontoxic” therapies that “aren’t chemotherapy” by “natural medicine” cranks such as Joe Mercola and Mike Adams, Dr. Burzynski’s dirty little secrets, at least as far as the “alternative medicine” crowd goes, are that (1) despite all of the attempts of Dr. Burzynski and supporters to portray them otherwise antineoplastons are chemotherapy and (2) Dr. Burzynski uses a lot of conventional chemotherapy. In fact, from my perspective, it appears to me as though over the last few years Dr. Burzynski has pivoted. No longer are antineoplastons the center of attention at his clinic. Rather, these days, he appears to be selling something that he calls “personalized gene-targeted cancer therapy.” In fact, it’s right there in the first bullet point on his clinic’s webpage, underlined, even! Antineoplastons aren’t even listed until the third bullet point.
But what is “personalized gene-targeted cancer therapy,” according to Dr. Burzynski? Here is how it is described:
Every so often, I come across studies that leave me scratching my head. Sometimes, these studies are legitimate scientific studies that have huge flaws or come from an assumption that is very off-base. Other times, they involve what Harriet Hall has termed “tooth fairy science,” wherein the tools of science are used to study a phenomenon that is fantastical, whose very existence hasn’t been demonstrated. Many such studies, not surprisingly, are studies of “complementary and alternative medicine” (CAM) or “integrative medicine” (IM). Modalities like reiki (which is faith healing that substitutes Eastern mysticism for Christian beliefs) and homeopathy (which is, when you boil it down to its essence, sympathetic magic) fall into the category of therapeutic modalities that are based on fantasy but are studied as with the latest tools of science, producing no end to confusing noise. This “tooth fairy science” has, over the last few years, reached its epitome in the application of the latest genomics technology to, in essence, magic, and I’ve recently come across an incredible example of just such a thing. But, first, let’s take a step back to what is going on in medical science now before I introduce a concept that I’ve dubbed “woo-omics.”
A prelude to woo-omics: Genomics, proteomics, everywhere an “omics”
One of the most difficult problems in science-based medicine is how to do a better job identifying which patients will respond to which treatments. Clinical trials, by their very design, have to look at average responses in populations. In essence, a treatment is compared to either placebo or standard-of-care, a choice mainly driven by ethics and whether effective treatments exist for the condition being studied. It is then determined using statistics whether a significant difference exists between the two groups. The difficulty, as any clinician knows, is applying the results of clinical trials to individual patients. In any population, there is, after all, a range of responses to any drug or treatment, and it would be desirable to be able to predict which patients will fall at the end of the bell-shaped curve where the treatment is most effective and which will fall at the end of the curve where the treatment works poorly or not at all.