News and Events
Epic Sciences Presents Single Cell Genomics Data at 10th DIA China Annual Meeting
New data demonstrates the detection of tumor mutational burden and chromosomal instability in single circulating tumor cells to develop cancer diagnostic tests for guiding immuno-oncology clinical development and decision-making.
Epic Sciences and Its Collaborators to Present New Data at ASCO 2018
New data validates clinical utility of commercially-available Oncotype DX® AR-V7 Nucleus Detect™ test and additional tests under development for predictive medicine
Epic Sciences Presents Detection and Characterization of Rare Peripheral CTC Immunogenicity and T-Cell Activation
At the 2018 AACR annual meeting, Epic Sciences presented data from two studies demonstrating the company’s “No Cell Left Behind” detection platform’s capability to analyze potential markers of response to immuno-oncology (IO) agents, such as checkpoint inhibitors, vaccines, and CAR-T therapies.
Epic Sciences and Genomic Health Announce Favorable Draft Local Coverage Determination (LCD) on Medicare Coverage for Use of the Oncotype DX® AR-V7 Nucleus Detect™ Test in Patients with Metastatic Castration-Resistant Prostate Cancer
Medicare Draft Coverage Supports Clinical Utility of the Oncotype DX AR-V7 Nucleus Detect Test, Providing 25,000 Medicare Patients with Coverage Once LCD Is Finalized
Calendar of Events
American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago, IL from June 1-5, 2018.
American Association for Cancer Research (AACR) Annual Meeting in Chicago, IL from April 14th - 18th, 2018
In the News
Genomic Health to market Epic Sciences’ AR-V7 liquid biopsy test.
New York, GenomeWeb — Genomic Health and Epic Sciences today announced that they have signed an exclusive agreement under which Genomic Health will commercialize Epic Sciences' AR-V7 liquid biopsy test in the United States.
Test aids prostate cancer treatment.
New York, Wall Street Journal — Genomic Health Inc. has struck a deal to commercialize a new blood test that can help advanced prostate cancer patients decide whether to try costly new-generation drugs or rely on much cheaper traditional chemotherapy to improve their chances for survival.
Guest Commentary: Back to cancer’s drawing board.
By Murali Prahalad of Epic Sciences — A curious problem arises for each new precision oncology therapeutic with a companion diagnostic: Many predicted responders exhibit primary resistance.
Epic Sciences' circulating tumor cell prostate cancer test shows promise in new JAMA study.
Chicago, GenomeWeb — A new study by researchers from Memorial Sloan Kettering Cancer Center has demonstrated the predictive power of an AR-V7 protein expression test using Epic Sciences' non-EPCAM-based circulating tumor cell detection platform, which could help guide treatment decisions for men with metastatic castration-resistant prostate cancer.
Epic, Avera ink deal to use liquid biopsy platform in clinical studies.
New York, GenomeWeb — Epic Sciences and Avera Medical announced today that they have signed a deal under which the healthcare network will use the company's circulating tumor cell (CTC)-detection and -analysis platform in upcoming clinical studies of precision cancer therapies.
Every time Epic’s AR-V7 test is administered the healthcare system saves about $15,000 per year of life extended. In other words approximately $7,000 to $9,000 per patient tested.
Of the roughly 30 million cells in a typical blood sample, about 5 are cancer cells on their way to form tumors elsewhere in the body. Modern cancer diagnostics technology can't see them.
We spend about $100 billion a year on cancer drugs. But because we’re not matching the right drug to the right patient and their disease in a personalized way, about 3/4ths of that drug spend is wasted.
The Epic approach answers a critical question for a doctor: When is a patient resistant? By answering that question accurately and precisely we increase patient life and save the system money at the same time.
Today, Epic Sciences is embedded in clinical trials with 48 leading producers of oncology drugs and 35 of the top academic cancer hospitals.
It takes only 7 minutes to acquire an entire image of 6 million stained cells on a 1 x 3 slide. Then that image, which is about 20GB of data, gets sent up to the cloud where the algorithms run and find the rare events in about 2 more minutes.