Cannabis and Cancer: Science, Symptoms, and Survival: See the Youtube Documentary
Editor's Note: Cannabis laws and regulations vary by country, state, and territory. This interview is for educational purposes only. Cannabis products discussed here are not endorsed by MedicalResearch.com. Patients should consult their oncologist or healthcare provider before using any cannabis or cannabinoid product, particularly during cancer treatment. Cannabis products should not be used while driving, by children, if pregnant, nursing or planning to become pregnant or mixed with other substances that can affect cognition. Cannabis products may also be contraindicated in other medical conditions or situations.
MedicalResearch.com: What is the background for this documentary? What are the primary components of cannabis plants? Response: I created Cannabis and Cancer because cannabis is now widely discussed by patients, clinicians, policymakers, and the general public, but there is still a lot of confusion about what the science actually says. Much of the public conversation treats cannabis as either broadly harmful or broadly beneficial. The reality is more complex. The documentary is meant to separate questions that are often conflated: whether cannabis exposure may influence the risk of developing cancer, whether cannabis use may affect cancer treatment or symptoms, and whether it may influence survival after a cancer diagnosis. These are very different scientific questions, and each one requires a different type of evidence. Cannabis plants contain many biologically active compounds. The most widely discussed are cannabinoids, especially THC and CBD. THC is the main intoxicating compound and is responsible for many of the psychoactive effects. CBD is not intoxicating in the same way, but it still has biological effects. Cannabis also contains other cannabinoids, terpenes, flavonoids, and plant compounds that may influence how different products affect the body.
Response: We were broadly interested in discovering instances of bacterial genes that have been acquired by diverse animal genomes over millions of years of evolution by the process of horizontal gene transfer (HGT). Since these events are quite rare and most previous discoveries have been serendipitous, we developed computational methods to identify genes acquired by HGT in animals. One of the exciting discoveries from our work was that vertebrate IRBP appeared to have originated in bacteria and is now a critical component of the vertebrate visual cycle, so this paper focuses on that one discovery.
IRBP or interphotoreceptor retinoid binding protein is an important protein present in the space between two major cell types in our eyes, photoreceptor cells and RPE cells. Our ability to see involves an intricate set of steps where light is first sensed by causing a change (isomerization) in the chemical structure of molecules in the eye called retinoids. This sensing of light occurs in our photoreceptor cells. Following this change in the chemical structure, the retinoid needs to be recycled back to the chemical structure that can again sense light. This recycling occurs in RPE cells. IRBP performs the essential function of shuttling retinoids between the photoreceptors and the RPE cells, which allows the cycle of sensing and regeneration to work. Supporting its importance, mutations in IRBP (also known as retinol binding protein 3 or RBP3) can cause several severe human eye diseases.
Dr. Pierce[/caption]
Karen Pierce, Ph.D.
Professor, Department of Neurosciences, UCSD
Co-Director, Autism Center of Excellence, UCSD
MedicalResearch.com: What is the background for this study?
Response: The mean age of ASD diagnosis and eventual treatment remains at ~52 months in the United States1 - years beyond the disorder’s prenatal origins2, and beyond the age when it can be reliably diagnosed in many cases3.
Currently the only way to determine if a child has autism spectrum disorder (ASD) is to receive a developmental evaluation from an experienced clinician (usually a licensed clinical psychologist). There are often long waiting lists, and only a small number of clinicians have the experience required to make early-age (i.e., between 12-36 months) diagnoses of ASD. Thus, there are many places in the country as well as world wide wherein children wait months or years to receive a formal diagnosis due to a lack of available expertise. Moreover, diagnostic evaluations are expensive and usually cost the parent and/or insurance approximately ~$2,000 or more per evaluation. Finally, clinical evaluations usually take between 2-3 hours to complete and result in fatigue for both the parent and toddler.
Eye-tracking, which generates biologically-relevant, objective, and quantifiable metrics of both visual and auditory preference profiles in babies and toddlers in just minutes, is a technology that can dramatically change how ASD is diagnosed.
Dr. Leas[/caption]
Eric Leas PhD, MPH
Stanford Prevention Research Center
University of California, San Diego
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Recent research has demonstrated the importance that neighborhood context has on life opportunity, health and well-being that can perpetuate across generations. A strongly defining factor that leads to differences in health outcomes across neighborhoods, such as differences in chronic disease, is the concurrent-uneven distribution of modifiable risk factors for chronic disease.
The main goal of our study was to characterize inequities in smoking, the leading risk factor for chronic disease, between neighborhoods in America's 500 largest cities. To accomplish this aim we used first-of-its-kind data generated from the 500 Cities Project—a collaboration between Robert Wood Johnson Foundation and the US Centers for Disease Control and Prevention—representing the largest effort to provide small-area estimates of modifiable risk factors for chronic disease.
We found that inequities in smoking prevalence are greater within cities than between cities, are highest in the nation’s capital, and are linked to inequities in chronic disease outcomes. We also found that inequities in smoking were associated to inequities in neighborhood characteristics, including race, median household income and the number of tobacco retailers.
