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SNAPS Breast Cancer Patient Study Breast Cancer Patients

Subtraction Normalized Aggregated Phagocytic Signal in Peripheral Blood of Breast Cancer Patients (SNAPS - Clinical Trial) A NextGen RNASeq Feasibility Study of a Blood-based Model for Early Cancer Detection and Surveillance

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05370300
Enrollment
500
Registered
2022-05-11
Start date
2025-09-01
Completion date
2027-12-31
Last updated
2024-03-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer, Breast Cancer Female

Keywords

Breast Cancer, Immunogenomics

Brief summary

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.

Detailed description

Efficient next generation RNA sequencing platforms have allowed for whole genome expression profiling of individual populations of immune cells as a novel means of searching for patterns of gene expression to aid in the identification of meaningful signals unique to various disease states. Single cell sequencing techniques have provided additional information useful in deconvolution strategies applied to model development on purified populations of immune cells. Recent interest in peripheral leukocyte subset gene expression profiles suggests that diagnostic information for many disorders may be contained therein. Mononuclear phagocytic cells including the various CD14+ subsets have been studied extensively in various disease states including some solid tumors. Previous large clinical studies at Immunis.AI have determined that transcriptomic profiles of CD14+ cell populations subtraction normalized from CD2+ cell populations were associated with aggressive disease phenotypes such as prostate cancer. Tumor heterogeneity, multifocality, and oligoclonality have been a significant barrier to development of meaningful tissue based multigene signatures for predicting cancer biologic behavior. The findings at Immunis.AI strongly suggest that analysis of RNA expression data from the body's immune surveillance cells has the potential to summarize the entire heterogeneous tumor. The investigators believe that the CD14/CD2 log ratio can be understood as a subtraction normalization of gene expression which yields superior signal of early-stage cancer.

Interventions

DIAGNOSTIC_TESTBlood test

Proprietary immunogenomic signature from peripheral blood CD14 and CD2 cells.

Sponsors

Duke University
CollaboratorOTHER
Immunis.AI
Lead SponsorINDUSTRY

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* 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.

Exclusion criteria

* 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. * Patients unable to provide informed consent. * Patients with an abnormal screening mammogram. * Patients whose hormone receptor and/or HER2 status are not available.

Design outcomes

Primary

MeasureTime frameDescription
Primary Aim12 monthsTo determine if differential gene expression between peripheral blood phagocytic and non-phagocytic immune cells can distinguish breast cancer patients from cancer-negative controls.

Secondary

MeasureTime frameDescription
Secondary Aim 112 monthsTo 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 212 monthsTo 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 312 monthsTo determine the temporal relation between biopsy procedures and signal strength or dilution.

Countries

United States

Contacts

Primary ContactAmanda Nash
amanda.nash@duke.edu855-855-6484

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026