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When the TIME is right for Immunotherapy

DetermaIO is a proprietary gene expression test that assesses the entire Tumor Immune Microenvironment (TIME) to identify the patients most likely to benefit from immunotherapy.

Up to 44%

of all newly diagnosed patients with cancer are eligible for immuno-oncology testing and therapy.1

Unfortunately, with standard of care PD-L1 IHC testing, more than half of PD-L1 positive patients do not respond to immune checkpoint inhibitors, and

1 in 6

patients who will respond are missed.2

We need a

betterway

to identify the patients who are more likely to receive benefit from immunotherapies. DetermaIO provides a comprehensive picture of the TIME to identify patients that may benefit from immunotherapy.2

About

DetermaIO

DetermaIO is a novel gene expression assay that measures expression levels of 27-genes to assess various components of the tumor immune microenvironment (TIME). The test has been shown to identify patients that are likely to benefit from immune checkpoint inhibitor (ICI) therapy.​
Data showing strong associations between DetermaIO results and benefit from ICI therapy has been published and presented in multiple tumor types including advanced non-small cell lung cancer (NSCLC), triple negative breast cancer (TNBC), urothelial cancer, and colorectal cancer. Additional indications are under investigation.​

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DetermaIO Performance

  • In patients with NSCLC treated with an immune checkpoint inhibitor, DetermaIO-identified responders (IM+) had significantly longer progression-free survival than DetermaIO-identified non-responders (IM-).3
  • In a study presented at the Society for Immunotherapy of Cancer (SITC) Annual Meeting, data suggested that DetermaIO outperformed PD-L1 in predicting immunotherapy responders as well as non-responders.3

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DetermaIO Performance

Graph of DetermaIO Performance
DetermaIO

for Research

Identify immune checkpoint inhibitor responders.
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Effective Results

Standard of care PD-L1 testing incorrectly identifies many patients as potential responders to immune checkpoint inhibitors, and misses certain other patients who may respond.2 Data from a recent study suggested that DetermaIO outperformed PD-L1 in identifying both responders and non-responders.3

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Reduce Wasted Spend

Immuno-therapy can cost up to $300,000 per patient.4 Accurately identify the patients that are most likely to respond, reducing expensive drug costs for those that are unlikely to benefit.

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Decrease Adverse Events

30% of patients experience a serious adverse event as a result of immune checkpoint inhibitor treatment.2 Avoid introducing potential adverse outcomes (including autoimmune disease) to patients for whom treatment is unlikely to be effective.

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    References

    1. Haslam and Prasad. (2019) Estimation of the percentage of US patients with cancer who are eligible for and respond to checkpoint inhibitor immunotherapy drugs. JAMA Network Open 2(5):e192535.
    2. Khagi et al. (2017) Next generation predictive biomarkers for immune checkpoint inhibition. Cancer Metastasis Rev 36:179.
    3. Hout et al. One-year progression-free survival in lung cancer patients treated with immune checkpoint inhibitors is significantly associated with a novel immunomodulatory signature but not PD-L1 staining. Poster presented at: Society for Immunotherapy of Cancer (SITC) Annual Meeting; Nov 6-10, 2019; National Harbor, Maryland.
    4. Institute for Clinical and Economic Review. (2016) Treatment Options for Advanced Non-Small Cell Lung Cancer: Effectiveness, Value and Value-Based Price Benchmarks. Final Evidence Report and Meeting Summary. Accessed October 2019.