This partnership
is personal

Accurate solutions aimed at altering the face and future of cancer

Cancer Companion Diagnostics

As recognized leaders in next-generation sequencing (NGS), Illumina has a portfolio of cutting-edge genomic sequencing systems and services that can fuel all phases of your discovery and development pipeline. We are uniquely positioned to support you with the largest install base of NGS instrumentation in the world.1 In fact, ~90% of all sequencing data ever produced has been generated using Illumina technologies.* It’s a record of experience you can confidently trust as you choose a partner to help accelerate your development of clinically meaningful cancer companion diagnostics.

We offer complete NGS solutions to streamline and transform the tumor-profiling paradigm from a series of single-gene tests to a multi-analyte approach that can capture a more thorough picture of a tumor’s genomic landscape. Such knowledge can help identify candidates for clinical trials faster and more economically. Partnering with leading pharmaceutical companies and the oncology community, we are developing a Universal Oncology Test System aimed at defining a comprehensive set of currently actionable and emerging biomarkers relevant to cancer drug development.

Learn more

Some cancer research discoveries using NGS have become the basis for companion diagnostics and laboratory developed tests (LDT) now in use in molecular diagnostic laboratories worldwide. These laboratories are now faced with an evolving landscape of regulations and reimbursement strategies for NGS oncology testing.

We spoke with several key opinion leaders about the ongoing challenges and potential of NGS in oncology testing.

Read Interview
The Changing Landscape of NGS Implementation in Molecular Diagnostic Laboratories
Interested in receiving newsletters, case studies, and information on cancer genomics? Enter your email address.
  1. Nakazato T, Ohta T, Bono H. Experimental design-based functional mining and characterization of high-throughput sequencing data in the sequence read archive. PLoS One. 2013;8:e77910.

* Data on file derived from 2013 study.