Personalized medicine made significant strides in 2011 with two new targeted cancer therapies, the FDA release of its companion diagnostics draft guidance, and routine clinical genotyping for some oncology applications. However, many challenges remain. An estimated 90% of currently marketed drugs are effective in only ~40% of patients annually, costing ~$350 billion for medications that don’t work.
Hope may be on the horizon, though, bolstered by new successes and novel approaches in biomarker analyses. GTC’s “Oncology Biomarkers” conference will feature pointed discussions about overcoming challenges to translation of biomarkers to the clinic. It will also showcase emerging technologies for assessing biomarkers, including the use of isogenic cell lines to stratify patient populations, next-generation sequencing for mutational analysis, and identification of unique biological targets.
Over the past few years there has been a clear shift in oncology from traditional cytotoxic agents to more molecularly targeted drugs, says Adam Schayowitz, Ph.D., director of business development, BioMarker Strategies.
“The challenge is how to match patient biomarkers with anticipated drug response. Often a drug is developed for a given indication, without knowing in which subset of patients it will be most effective.”
Part of the bottleneck is the way tumor specimens are processed. “Typically, when biopsies are obtained, tissue is fixed using an approach that was developed in the 19th century (FFPE sections). Then static biomarker tests are performed using methods such as immunohistochemistry, DNA sequencing, and DNA amplification.
“The problem with this approach is that this tissue is dead and unable to be interrogated for true functional value. As such, what actually happens within the signal transduction network of living cells is lost.”
BioMarker Strategies believes one way to bridge the chasm between biomarkers and drug response is by developing a new paradigm for testing tumor specimens.
“A better approach,” Dr. Schayowitz suggests, “is to keep the cells alive long enough to obtain a functional profile that would reveal information about the signal transduction networks that predict patient response to targeted drug therapy.
“Our company has developed an ex vivo biomarker testing system called SnapPath™ to enable this approach. It is an automated live tumor cell processing platform that allows us to characterize how a patient’s live tumor cells respond to pathway stimulants (e.g., growth factors) or inhibitors (targeted drugs).”
Initially, a fine-needle biopsy harvests cells from the patient’s tumor. The sample is then placed in a ready-made cartridge that can be processed in the self-contained instrument. The automated processing takes less than 30 minutes and occurs in steps.
First cellular aggregates are mechanically dispersed. Nontumor material is depleted, and the purified cells are distributed in up to four chambers. While some cells are untreated and remain at baseline, others are treated with various stimulators and inhibitors (therapeutic drugs). Finally, samples are lysed and stabilized for off-platform extraction and analysis.
“The idea is to obtain functional signaling profiles of the phosphoprotein signaling networks to compare the treated and untreated malignant cells. SnapPath is amenable to analytic technology procedures that can also be performed for RNA and DNA analysis. We are currently conducting clinical studies at a growing number of cancer centers. While we are starting with advanced melanoma, the SnapPath platform is designed to process all solid tumors.”