The details will be presented at the upcoming ASCO annual meeting two weeks from now, but there’s a preliminary highlight released that ginger root capsules can produce a very significant reduction in chemotherapy-induced nausea. This work validates the general recommendation to take ginger ale for an upset stomach, etc., but it’s important to note that many food and drink products use ginger flavoring rather than actual ginger.
This study included over 600 patients, two thirds with breast cancer, who received chemotherapy along with either a placebo or one of four dose levels of ginger root starting before the chemo. Apparently, it was important that patients began taking the concentrated ginger capsules before chemo and not at or after the time of chemo, an earlier study of ginger had found. In the study being presented, all of the doses produced a significant improvement in nausea, particularly the middle and lower dose levels.
My recent post about selecting the right treatment for an individual tumor is part of a long history of trying to tailor cancer therapy. Many companies offer such services, and in fact advertise them heavily. However, the oncology community as a whole has not enthusiastically embraced such approaches, as many patients suggesting these tests may have found when they raise the question. This is based on decades of general disappointment, on marketing of ideas ahead of the clinical research to really prove the value of lab-based selection of optimal treatment. Because of these issues, there are no management guidelines that include recommendations for these types of tests, certainly not in lung cancer management.
In fact, there are good reasons to be suspicious that a treatment that looks promising in a test tube model of cancer is actually going to work in real live people. This is exactly the cautionary point I raised in a prior post about the difference between pre-clinical and actual patient-based testing of cancer treatments. Many, many more cancer treatments have looked sensational in test tube and animal models than in the clinic, which should be expected because the human experience depends on absorption of the drug, and delivery through the bloodstream, while cancer cells are constantly mutating, developing resistance to our treatments all too quickly. The lab models can’t quite capture the dynamic and more challenging nature of actual living cancer in human patients. Consequently, a lab report saying drug X will work for Mr. Smith’s lung cancer often falls short on that promise. If the companies that made broad claims actually backed up their contentions with clinical data, the way investigators are trying to follow up on the MADeIT trial with a larger direct comparison of tailored vs. standard unselected chemotherapy, the oncology community would likely be much more eager to adopt such testing as a standard of care. Continue reading
In the Keynote Lecture at the Targeted Therapies in the Treatment of Lung Cancer Conference, Dr. Joseph Nevins from Duke’s described emerging approaches for how to personalize cancer management, including who to treat, and how to treat. I described in my last posts his efforts to refine our understanding of which patients with early stage, resected lung cancer are at higher or lower risk for cancer recurrence, and therefore better or less well served by receiving adjuvant chemotherapy. His lab is also studying how gene profiles of cancers can help us refine how to treat.
Herceptin, also known as trastuzumab, is a monoclonal antibody against HER-2/neu, a protein over-expressed in a subset of breast cancers. If given to an unselected population of breast cancer population, it would have a response rate of less than 10% and would potentially not have been recognized as a valuable and active drug in treating breast cancer. On the other hand, when given to an appropriately selected population of patients with over-expression of HER-2/neu, it has a response rate of 35-50% and emerges as a remarkably useful drug for breast cancer.
Thus far in lung cancer, we have rarely individualized our treatment recommendations, and even our targeted therapies have been given in an “untargeted” way. We have just started to identify patients, using EGFR mutations and/or clinical variables like smoking status or tumor subtype, to identify some patients as better or worse candidates for tarceva or avastin. But these are very rudimentary first steps. Dr. Nevins and his colleagues at Duke are looking at an array of genes to identify classes of different tumors with certain patterns of genes turned on and off (abstract here):
(click to enlarge) Continue reading