Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Poor accrual
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Blue Cross Blue Shield | OTHER |
| NantHealth Inc. | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
Among patients with advanced (metastatic) cancers, detailed characterizations of the tumor utilizing genomic and proteonomic techniques may help guide treatment. It, however, remains unclear if these new diagnostic technologies truly influence clinical and economic outcomes. This study will evaluate if patients treated according to the results of the NantHealth GPS Cancer test achieve optimal outcomes compared to patients whose treatment are discordant with GPS Cancer recommendations.
Personalized Medicine approaches to cancer management require detailed diagnostic evaluations. Broad genomic profiling,using whole genome (DNA) and whole transcriptome(RNA) sequencing platforms,holds the promise of identifying tumor related mutations that are amenable to targeted therapies, with the potential for improved clinical outcomes and lower toxicities compared to traditional cytotoxic chemotherapy. Proteomic approaches may add additional insights into treatment selection by identifying protein biomarkers known to induce drug resistance or indicate drug sensitivity for chemotherapy, monoclonal antibody therapy, hormonal therapy, targeted therapy and immunotherapy. The full value of these approaches has not been realized in routine clinical cancer care.
GPS Cancerâ„¢ is a comprehensive test available through NantHealth. GPS Cancer which integrates whole genome (DNA) sequencing, whole transcriptome (RNA) sequencing, and quantitative proteomics through mass spectrometry, provides oncologists with a comprehensive molecular profile of a patient's cancer to inform personalized treatment strategies. GPS Cancer testing is conducted in CLIA-certified and CAP-accredited laboratories.
Hypothesis:
1. The addition of proteomics to next generation sequencing (NGS) via the NantHealthGPS Cancer test and the incorporation of whole genome sequencing will identify treatment algorithms with increased likelihood of successful clinical outcomes in patients with advanced cancers.
Study Design(summary):
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Concordant with GPS Cancer Test | Patients with advanced cancer who undergo GPS Cancer testing whose therapy matches the recommendations from the NantHealth GPS Cancer Test. |
| |
| Discordant with GPS Cancer Test | Patients with advanced cancer who undergo GPS Cancer testing whose therapy does not match the recommendations from the NantHealth GPS Cancer Test. |
| |
| CNA controls without testing | Retrospective patients in the COTA database matched by similar characteristics (CNA matched). |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NantHealth GPS Cancer Test | Diagnostic Test | Quantitative targeted proteonomics detected by mass spectrometry with whole genome (DNA) and whole transcriptome (RNA) sequencing. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Time on original treatment strategy for advanced cancer | To determine whether patients who are treated with therapies that are concordant with the NantHealth GPS Cancer test are able to stay on their original treatment strategy longer than patients treated with either discordant regimens or a matched Nanthealth GPS untested population. | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Total cost of care | To determine the total 1 year cost of care for patients treated according to the results of the GPS Cancer test compared to discordant regimen treated patients or untested patients. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Physician behavior | To determine the frequency of change in treatment strategies pre and post GPS Cancer testing. | 2 years |
Inclusion Criteria:
NantHealth GPS Cancer in Advanced Cancers
Exclusion Criteria:
Not provided
Not provided
Not provided
Study population is oncology patients consenting to receive active therapy.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Deena Atieh Graham, MD | Hackensack Meridian Health System | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| RCCA - Central Jersey Division | East Brunswick | New Jersey | 08816 | United States | ||
| RCCA - Freehold Division |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Freehold |
| New Jersey |
| 07728 |
| United States |
| Hackensack Meridian Health System | Hackensack | New Jersey | 07601 | United States |
| RCCA - Hackettstown Division | Hackettstown | New Jersey | 07840 | United States |
| RCCA - Howell Division | Howell Township | New Jersey | 07731 | United States |
| RCCA - Little Silver Division | Little Silver | New Jersey | 07739 | United States |
| RCCA - Marmora Division | Marmora | New Jersey | 08223 | United States |
| RCCA - Mount Holly Division | Mount Holly | New Jersey | 08060 | United States |
| RCCA - Pompton Plains Division | Pompton Plains | New Jersey | 07444 | United States |
| RCCA - Sparta Division | Sparta | New Jersey | 07871 | United States |
| ID | Term |
|---|---|
| D010190 | Pancreatic Neoplasms |
| D001943 | Breast Neoplasms |
| D008175 | Lung Neoplasms |
| D003110 | Colonic Neoplasms |
| D008545 | Melanoma |
| D011471 | Prostatic Neoplasms |
| ID | Term |
|---|---|
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004701 | Endocrine Gland Neoplasms |
| D004066 | Digestive System Diseases |
| D010182 | Pancreatic Diseases |
| D004700 | Endocrine System Diseases |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D015179 | Colorectal Neoplasms |
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D005834 | Genital Neoplasms, Male |
| D014565 | Urogenital Neoplasms |
| D005832 | Genital Diseases, Male |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D011469 | Prostatic Diseases |
| D052801 | Male Urogenital Diseases |
Not provided
Not provided