About this trial
Differential immunogenomic signatures from peripheral blood CD14 (phagocytic) and CD2 (non-phagocytic) cells have been associated with multiple cancers and disease states. In particular several large clinical studies at Immunis.AI have demonstrated robust immunogenomic signatures in early-stage prostate cancer. Immunis.AI therefore hypothesizes that a peripheral blood immunogenomic signature will identify patients with various stages of breast cancer from healthy negative controls.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients > 18 yrs of age.
Patients diagnosed with stage I-IV breast cancer, who have not begun definitive therapy.
Patients undergoing screening mammograms for breast cancer.
Disqualifiers
Patients with a history of a different cancer within the previous 3 years (except non melanoma skin cancer).
Any prior treatment (surgery, chemo, hormonal, radiation, biologics, etc.) for current cancer.
Any biopsy which resulted in the entire tumor tissue being removed.
History of previous breast cancer.
Trial population
Patients presenting to the Duke Cancer Center for evaluation by Medical or Surgical Oncology of a newly diagnosed breast cancer Patients presenting to Duke Radiology for routine screening mammogram
Trial design
Case-control
Prospective
Treatments tested in this trial
Blood test
Diagnostic testProprietary immunogenomic signature from peripheral blood CD14 and CD2 cells.
Treatment groups
Trial outcomes
Primary outcomes
Primary Aim
To determine if differential gene expression between peripheral blood phagocytic and non-phagocytic immune cells can distinguish breast cancer patients from cancer-negative controls.
Secondary outcomes
Secondary Aim 1
To evaluate minimal residual disease with a potential signature for breast cancer detection following curative therapy to evaluate the degree to which the original signature has changed.
Secondary Aim 2
To determine the sample size required to develop and validate a computational immunogenomic model capable of predicting the various types, grades, and stages of breast cancer.
Secondary Aim 3
To determine the temporal relation between biopsy procedures and signal strength or dilution.
Sponsors and contacts
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Immunis.AI
Lead sponsor
Duke University
Collaborator
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