Monoclonal antibodies, which are engineered to hone in on very specific biological targets, have taken off therapeutically in recent years: several are now approved for treating cancers and autoimmune diseases, and nearly 200 are in clinical trials. But one of the challenges of monoclonal-antibody therapy is the fact that some people respond very well to the drugs while others respond only moderately or not at all.
A startup called PIKAMAB, based in Menlo Park, CA, believes that it can make monoclonal antibodies more effective by grouping patients together based on their genotype and offering a customized antibody developed for that genotype. The company hopes that this “stratified” approach to drug development and treatment will help drug companies achieve better results.
Monoclonal antibodies bind only to specific target molecules, giving them a precision that many other drugs lack. These Y-shaped molecules, which are naturally produced by immune cells called B cells, have a nearly identical base but arms that can vary depending on their intended target. The arms bind precisely to the target while the base of the Y provides an anchor for circulating immune cells to attach to.
Monoclonal antibodies were first identified as potential cancer treatments three decades ago, as the molecules could be engineered to bind to cancer cells and provoke an immune response against them. They have also proved useful for treating autoimmune disease and are under investigation as a treatment for many other conditions.
But scientists have found that patients respond differently to these drugs, largely because the antibodies are not able to bind to the immune cells of all patients equally well. Studies have found that the process, called antibody-dependent cell-mediated cytotoxicity (ADCC), plays a major role in how well several monoclonal-antibody drugs work. How an immune cell attaches to an antibody depends on one of two protein receptors at the cell’s surface. People have natural genetic variations in these receptors: certain variations prevent immune cells from binding to antibodies, and these patients respond poorly to these antibody therapies.
Vijay Ramakrishnan, founder and CEO of PIKAMAB, believes that monoclonal-antibody therapies could be improved by taking into account the genetic background of each patient. “A one-size-fits-all antibody drug in this case doesn’t work,” he says.
PIKAMAB’s approach is to first sort patients depending on whether they are expected to respond to a treatment or not. The company is marketing a “theragnostic” test that separates patients into one of nine groups in a matrix according to their receptor type and an analysis of their immune cells. At one end of the matrix are patients likely to respond well to an existing drug; at the other end are those who are likely to respond poorly. Ramakrishnan says that this test alone can benefit treatment, as it could help a clinician decide whether to begin a monoclonal therapy right away in an excellent responder or eschew the drug in favor of other options in a poor responder.