IRDS: Predictive 7-gene Signature for Breast Cancer Therapy

Inventor(s):

    SUMMARY

    • After surgical removal of breast cancer tumors, adjuvant chemotherapy and radiation therapy have an absolute survival benefit of just 5-10%. Currently approved breast cancer diagnostics do not predict patient responses to these treatment options, despite the capability of such a diagnostic to avoid unnecessarily exposing patients to toxic side effects.
    • From 52 differentially expressed genes, the investigators found 7 genes that successfully predict patient overall survival in response to chemotherapy or radiation therapy. The 7 genes are IFN stimulated and mediate cellular response to DNA damage.
    • The invention is a signature of 7 genes that can be used to predict breast cancer resistance to DNA damage. Lower resistance to DNA damage pinpoints patients that will benefit from chemotherapy and radiation therapy.
    • The gene signature was validated in a retrospective dataset of 295 early stage breast cancer patients (HR=1.2).

     

    FIGURE

    Patients who received adjuvant chemotherapy (green, n=110) and those who did not (orange, n=185) were classified using the clinically approved Mammaprint gene signature (NKI 70) as having a good (NKI70 -) or poor (NKI 70+) prognosis. The poor prognosis patients were further stratified with the invention gene signature (IRDS). IRDS (-) patients have increased sensitivity to chemotherapy, evident in comparing the Kaplan-Meier survival curves of the two treatment groups. 

     

    ADVANTAGES

    ADVANTAGES

    • Clear binary results
    • Prevents unnecessary toxic treatments
    • Assesses breast cancer patients not addressed by available tests.
    • Compatible with conventional diagnostic platforms.
    • Greater than 85% sensitivity and specificity
    •  Useful across breast cancer subtypes

     

    APPLICATIONS

    • Precision medicine (Chemotherapy and radiotherapy)
    • Clinical trial enrollment

     

    PUBLICATIONS

     

     

    • US: 7,892,740

    TECH DETAILS

    Published
    7/23/2019

    Reference ID
    05-T-101

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    Michael Hinton

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