Exploring New Opportunities for Biomarkers in Immuno-Oncology

Pharmaceutical companies are increasingly relying on biomarkers to deliver precisionOpportunities for Biomarkers in Immuno-Oncology medicine in immuno-oncology. Biomarkers can accelerate drug development and reduce the overall cost; they also allow sponsors to identify failed treatments sooner so that resources are not wasted on expensive, late-stage trials with unsafe or inactive compounds. Finally, these tests lead to better outcomes for patients, which help companies make a stronger case for reimbursement.

However, biomarker discovery requires substantial time and resources. While expenses will likely be outweighed by increased development efficiency, companies must ensure that drug and diagnostic timelines are closely aligned so that the treatment and test can launch simultaneously. Technical, workflow and commercial factors are critical to the successful use of immuno-oncology biomarkers. Continue reading

Immuno-Oncology Studies: Optimizing Design, Recruitment and Execution

The rise of immunotherapy has been meteoric — there are now well more than 1,000 Purple DNA Strandimmuno-oncology (IO) trials ongoing according to clinicaltrials.gov. Finding and enrolling the appropriate patients for these potentially revolutionary treatments has presented a profound challenge, one that was recently covered in the aptly titled New York Times article: A Cancer Conundrum: Too Many Drug Trials, Too Few Patients. Another piece of the puzzle is clinical trial design, which can be especially elaborate when testing combination treatments in IO. Exacerbating these issues, IO trials are an increasingly competitive race to market. There is great value assigned to reducing development times and being the first drug approved within a class or for a specific indication.

This blog article discusses the current state of immuno-oncology studies, strategies for enhancing patient recruitment, the role of companion diagnostics and solutions for dealing with the complexity of IO combination studies. Continue reading