A range of genetic disturbances can result in the same type of cancer, the way an off-tasting dish might result from any number of bad ingredients or missteps in the preparation process. Often, variation in clinical features—tumor appearance, location, behavior—is what defines cancer subtypes, while the genetic origins of each subtype remain unclear. But to make sense of this variation, and thus refine diagnosis and develop more precise treatments, researchers must trace these clinical features back to their genetic origins.
Damon Runyon News
Clear cell renal cell carcinoma (ccRCC), which accounts for over 75% of kidney cancer diagnoses, gets its name from how the tumor cells look under a microscope. Their clear appearance, as if the tissue were studded with air bubbles, is due to an accumulation of cholesterol in the cells. Studies have shown that ccRCC cells contain at least twice as much cholesterol as normal kidney cells, and in some cases up to 35 times more. How this accumulation occurs and how it contributes to cancer progression, however, is poorly understood.
For Vassiliki Karantza, MD, PhD, the past seven years have been a whirlwind. Since starting her first job in the pharmaceutical industry in 2014, the former Damon Runyon Clinical Investigator has overseen the development of a new drug for breast cancer from early clinical trials to approval by the Food and Drug Administration. As of March 2021, the drug, pembrolizumab (Keytruda), is FDA-approved for the treatment of metastatic triple-negative breast cancer (TNBC), which accounts for 10-15% of breast cancer diagnoses. It is a remarkable achievement, especially considering that the company’s breast cancer program did not yet exist when Dr. Karantza arrived.
Grants totaling nearly $4 million give early-career investigators independence to pursue brave and bold cancer research.
Damon Runyon is pleased to announce that Meghan Raveis was elected to the Board of Directors in June.
Damon Runyon Cancer Research Foundation has announced the 2021 recipients of the Damon Runyon Clinical Investigator award—six outstanding early career physician-scientists working to develop new cancer therapies under the mentorship of the nation's leading scientists and clinicians.
Researchers at Stanford University have discovered sugar-bound RNA strands protruding from the cell surface, challenging the long-held assumption that these two types of molecules are kept separate within the cell. These newfound “glycoRNAs,” identified by former Damon Runyon Fellow Ryan Flynn, MD, PhD, may serve an important role in immune signaling. A shock to biologists across disciplines, this finding has particular significance in the world of cancer research, as the development of effective immunotherapies hinges on our understanding of how the immune system is activated.
Immune checkpoint blockades are remarkably effective at exposing tumor cells to immune system attack, but only in the minority of patients with highly mutated tumors. While a high number of genetic mutations may seem like a bad thing, more mutations mean tumors produce more antigens, making them more recognizable to immune T-cells, and thus more susceptible to immunotherapy. In a groundbreaking report, Damon Runyon alumni Robert K. Bradley, PhD, and Omar Abdel-Wahab, MD, offer proof of concept that introducing errors in the short-lived RNA—rather than permanent DNA damage—still causes tumors to present antigens on their cell surface, stimulating immune response. The hope is that drugs that induce such RNA errors could be used in combination with checkpoint blockades to shrink therapy-resistant tumors.
Selection bias occurs when those chosen to participate in a study are not representative of the target population, limiting how much we can trust the study results. In order to quantify this selection bias, researchers have come up with a metric known as the diagnosis-to-treatment interval (DTI), which measures treatment urgency among trial participants. DTI, however, is not an ideal metric for selecting trial participants, as non-biological factors like access to medical care also influence the amount of time between diagnosis and treatment. Finding a biological basis for DTI would offer a more objective measure of clinical urgency, and thus be more useful in mitigating selection bias.
Note: This is an extended version of an interview published in the Spring 2021 issue of our print newsletter, Momentum.
Former Damon Runyon Clinical Investigator Li Li, MD, PhD, MPH has been appointed to the U.S. Preventive Services Task Force, a sixteen-member panel of experts that makes recommendations for screenings and other preventive healthcare measures for the entire U.S. population. He spoke with us about the role of prevention in the continuum of cancer care.