Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Side-Out Foundation | OTHER |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This study will use proteomic and genomic profiling to analyze tumor tissue to see if treatment selected by this analysis will benefit patients.
To examine the impact of targeted therapy for breast cancer based upon proteomic and genomic profiling using RPMA, IHC analysis, RNA-Seq, and Exome sequencing on PFS and GMI.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| treatment | Other | recommended treatment |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| treated recommended | Other | Treatment will be recommended after reviewing the profiling analysis |
|
| Measure | Description | Time Frame |
|---|---|---|
| Determine the impact of targeted therapy for breast cancer based upon proteomic and genomic profiling using RPMA, IHC analysis, RNA-Seq, and Exome sequencing on PFS and GMI. | Determine the impact of targeted therapy for breast cancer based upon proteomic and genomic profiling using RPMA, IHC analysis, RNA-Seq, and Exome sequencing on PFS and GMI. | 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| Record the frequency with which proteomic, IHC, and genomic profiling analysis of a patient's tumor by RPMA, IHC analysis, RNA-Seq, and Exome sequencing yields a target against which there is an FDA-approved agent or therapeutic regimen. | Record the frequency with which proteomic, IHC, and genomic profiling analysis of a patient's tumor by RPMA, IHC analysis, RNA-Seq, and Exome sequencing yields a target against which there is an FDA-approved agent or therapeutic regimen. |
| Measure | Description | Time Frame |
|---|---|---|
| Perform RPMA based batch analysis of all samples at the conclusion of this study, to measure 100-150 protein signaling targets. Protein activation will be correlated with clinical response. | The data from this exploratory analysis will help generate the hypothesis for a future prospective study. | 24 months |
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Stephen Anthony, DO | Evergreen Hematology & Oncology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic | Scottsdale | Arizona | 85259-5499 | United States | ||
| Virginia Cancer Specialists |
Not provided
| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| 24 months |
| Fairfax |
| Virginia |
| 22031 |
| United States |
| D017437 |
| Skin and Connective Tissue Diseases |