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MolecularMD Corp. Obtains License to Commercialize Predictive Diagnostic Based on Actionable Biomarker, DDR2, for Uses in Lung Cancer and Targeted Kinase Therapy

MolecularMD Corp. recently announced that it has entered into a license agreement granting the company exclusive patent rights to cancer diagnosis technology. Specifically, MolecularMD has obtained rights to commercialize patent-pending intellectual property pertaining to DDR2 mutations for diagnostic, prognostic and predictive uses for humans in the area of lung cancer. Such patent rights are jointly-owned by The Broad Institute and Dana-Farber Cancer Institute. The inventors named on the patent are Drs. Matthew Meyerson, Peter Hammerman, and Alexis Ramos.

About DDR2 Mutations in Lung Cancer

Research into understanding the genetic basis of cancer has led to identification of novel biomarkers that have been successfully exploited with targeted therapies. In non-small cell lung cancer (NSCLC), several such targets have been discovered for adenocarcinoma including EGFR, ALK, and MET. Unfortunately, these therapeutic targets are not relevant for squamous cell carcinoma (SCC), which is the second most frequent histological subtype in NSCLC. Recent discoveries identified mutations in the discoidin domain receptor 2 (DDR2) of SCC patient tumors that are oncogenic and also responsive to existing drugs targeting kinase inhibition. DDR2 is a membrane receptor tyrosine kinase involved in cell adhesion, proliferation and migration. In xenograft models, DDR2-mutant tumors regressed under treatment with the tyrosine kinase inhibitor, dasatinib. Remarkably, an SCC patient with no detectable EGFR mutation had a long-term response to the combination of erlotinib plus dasatinib. This patient was found to harbor a DDR2 mutation further suggesting that DDR2 mutations may be clinically relevant. Given the availability of a variety of therapies targeting tyrosine kinases, these findings provide a rationale for designing clinical trials for patients with SCC using existing FDA-approved drugs such as dasatinib, imatinib, nilotinib and ponatinib as well as novel, selective tyrosine kinase inhibitors for DDR2.

MolecularMD is developing DDR2 diagnostic assays, including next-generation sequencing tests, for clinical trials exploring efficacy of targeted therapies and DDR2 clinical utility. MolecularMD provides comprehensive clinical trial support through its CLIA-certified and CAP-accredited Clinical Reference Laboratory. In addition, MolecularMD provides IVD development and manufacturing capability to support companion diagnostic device commercialization. MolecularMD will also support commercialization of DDR2 technology through sublicensing to clinical reference laboratories and diagnostic assay developers and manufacturers.

According to Dr. Greg Cox, MolecularMD’s Director of Licensing, “DDR2 is potentially the first actionable biomarker available for SCC patients, whose treatment options are currently limited to chemotherapy. It’s exciting that these patients may benefit from existing FDA-approved targeted therapies, and we are eager to support clinical trials examining these novel treatment possibilities and enable widespread access to DDR2 diagnostics.”

GNS Healthcare Secures Contract to Unlock Mechanisms of Major Cancer Drugs with NCI 60 Data and REFS Data-driven Computational Models

GNS Healthcare, Inc. (GNS) announced that it has entered into a subcontract with SAIC-Frederick, Inc. in support of SAIC-Frederick’s prime contract with the National Cancer Institute. GNS will analyze National Cancer Institute (NCI) data generated from the application of several well-known cancer treatments to the NCI-60 cancer cell line panel. These drugs include several well-known, clinically active, mechanistically distinct anticancer agents: doxorubicin X2, Velcade® (bortezimib), paclitaxel, Sprycel® (dasatinib), Sutent® (sunitinib), and rapamycin. This collaboration will utilize GNS’s supercomputer-driven REFS™ platform to build computer models in a hypothesis-free, unbiased manner that will be simulated to identify key genetic and molecular mechanisms of drug efficacy and resistance in cancer. The goal of this project is to identify biomarkers and biological mechanisms that will lead to better matching of drugs to patients and new effective drugs in cancer. Financial terms of the agreement were not disclosed.