PRospective rEgistry OF Advanced Stage cancER (PREFER) Patients to Assess Prevalence of Actionable Biomarkers and Driver Mutations to Address Disparities in Precision Medicine
Study Details
Study Description
Brief Summary
The objective of this Study is to collect, process, and transfer biologic samples such as blood and/or tissue biopsies to determine the concordance of detected alterations obtained through liquid biopsy analyses compared to next generation sequencing of time-matched or archival tissue specimens from individuals with advanced solid tumors.
Examples of locally advanced and metastatic tumors include stage III and IV cancers (ex. lung, breast, all gastrointestinal malignancies, all gynecologic malignancies, prostate cancer, head and neck tumors, soft tissue cancers, and melanoma). These specimens will be analyzed for diagnostic purposes and research (either by Labcorp/OmniSeq or to a third-party recipient designated by Labcorp/OmniSeq). Labcorp/OmniSeq may transfer the specimens and data to its clients, including commercial, academic or non-profit research institutions; or alternatively, may retain the specimens in its repository for future research use at the sole discretion of Labcorp/OmniSeq and or assignees. Labcorp/OmniSeq will maintain all detailed clinical information including demographic data (de-identified), ethnicity, disease state, stage (radiological, pathological and clinical-whichever is relevant).
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Detailed Description
The scope of this pilot includes increasing uptake of personalized medicine (PM) testing using the OmniSeq test for identifying actionable target mutations in clinically appropriate patients and improving the quality of care particularly in practices providing care to minority and underserved patient populations. The research scope of this pilot covers 3 major areas that are necessary to understand the feasibility and best approaches.
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How to identify appropriate steps and strategies to improve compliance to achieve optimum testing for all cancer patients, including all minority patients, in accordance with approved guidelines.
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How to contact, trace and test all eligible patients and impact outcomes to prevent future cancers in unaffected relatives
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Impact of trace back approach to identify, test, and guide appropriate clinical management and intervention in patients already diagnosed with eligible cancer types who have not yet been tested. This can be done by: 1) searching pathology records or tumor registry databases 2) community engagement campaigns and 3) self-referral based on family (and/or personal) cancer history.
The PREFER Registry will enable Labcorp/OmniSeq to create a biorepository in addition to a registry. The benefits are as follows:
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The biorepository registry will collect clinical data, store biological specimens, and maintain additional associated information for future use in research.
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The biorepository will address healthcare disparities by increasing representative samples of tissues available for research from community oncology practices to reflect ethnicity and social determinants of health (SDOH). The biorepository would create catalogs of different mutations and/or germline information in different ethnicities for future drug development.
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The biorepository will ensure the quality of data, enhance research, and manage the accessibility and distribution/disposition of biospecimens in its collection.
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The biorepository will develop a tissue bank for serious malignant disorders with appropriate clinical data points that will support the development of newer molecules for targeted therapy. This will facilitate expansion of indications of existing molecules by providing better understanding of RNA/DNA derived anomalies and diseases as well as response criteria.
Contribution to Science:
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The PREFER registry and biorepository would collect clinical data, maintain biological specimens, and associated information, for future use in research.
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The biorepository would address healthcare disparities representing samples of biospecimens for the research from rural population
The seven steps to establish and operationalize of Labcorp/Omniseq biorepository:
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Informed consent (includes permission to commercialize use of specimens at a future date to develop drugs at the sole discretion of Labcorp/OmniSeq)
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Data Collection: All relevant clinical information will be entered in a central data repository. Data will include a unique identifier, demographic data, as well as all data points discussed previously
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Sample collection: Since patient will be undergoing standard diagnostic work up for suspected primary malignant disorder as a standard course of action at the point of care (POC) facility, the registry will not be adding any additional invasive clinical or diagnostic intervention
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Sample Processing/Shipping and Handling (Per SOP)
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Electronic Case Report From (ECRF) and data point to be entered by POC Facility
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Storage or inventory
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Retrieval, Redistribution of biological specimens
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Cohort lung cancer
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Gyn malignancies
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Gastrointestinal malignancies Cohort
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Melanoma Cohort
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Breast cancer Cohort
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Head and neck cancer Cohort
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Sarcoma and soft tissue cancer cohort
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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| Prostate cancer
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Diagnostic Test: OmniSeq Test
Genomic and immune profiling assay for all solid tumors
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Outcome Measures
Primary Outcome Measures
- The percent adoption of the OmniSeq next generation sequencing (NGS) testing platform in an advanced cancer patient population compared to baseline over a 2 year period [2 years]
Eligibility Criteria
Criteria
Case Inclusion Criteria
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Any gender, race, or ethnicity is acceptable
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Must be at least 18 years of age
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All subjects must fall into the following group:
All Cases will be classified as following cohorts
Cohort lung cancer - Subject must meet the following criteria:
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Recently diagnosed advanced lung cancer
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable) and/or on treatment
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Gyn malignancies (list ovarian and uterine cancer separately)
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Recently diagnosed advanced gynecological malignancies
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Gastrointestinal malignancies Cohort (list all cancers separately-colorectal, gastric, esophageal and pancreatic)
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Recently diagnosed advanced gastrointestinal malignancy
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Melanoma Cohort
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Recently diagnosed advanced melanoma
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Breast cancer Cohort
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Recently diagnosed advanced breast cancer
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Head and neck cancer Cohort
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Recently diagnosed advanced head and neck cancer
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Sarcoma and soft tissue cancer cohort
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Recently diagnosed advanced cancer
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Prostate cancer
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Recently diagnosed advanced cancer
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Locally advanced and metastatic solid tumors
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Treatment naïve (not yet treated or tumor removed; biopsy acceptable).
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Previously Treated: If treated, must have developed resistance and testing will be looking at change in therapy based on results of testing
Additional Requirements
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Subjects must be diagnosed by appropriate histopathology
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Subjects can have any concurrent diseases
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Must voluntarily sign and understand the most current Institutional Review Board/Independent Ethics Committee (IRB/IEC) - approved Informed Consent Form (ICF) prior to study participation. Witness must sign the informed consent form if the subject is illiterate.
Exclusion Criteria
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Subjects incapable of understanding the items listed in the ICF and the consent process
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Pregnant females
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Subjects with a history of or known psychiatric illness that deems them unable to consent
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Clinical Site | Fort Payne | Alabama | United States | 35958 |
| 2 | Clinical Site | Orange City | Florida | United States | 32763 |
| 3 | Clinical Site | Stuart | Florida | United States | 34994 |
| 4 | Clinical Site | Dublin | Georgia | United States | 31021 |
| 5 | Clinical Site | Fort Wayne | Indiana | United States | 46804 |
| 6 | Clinical Site | Covington | Louisiana | United States | 70433 |
| 7 | Clinical Site | Huntersville | North Carolina | United States | 28078 |
| 8 | Clinical Site | Rock Hill | South Carolina | United States | 29732 |
Sponsors and Collaborators
- Labcorp Drug Development Inc
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Additional Information:
- National Cancer Institute. Cancer statistics (2018)
- National Cancer Institute. Cancer types (2018)
- Jessica Kent. Health Affairs. Accessed December 25, 2020
- Giorgio Sirugo et al, The Missing Diversity in Human Genetic Studies. Cell. Accessed December 25, 2020
- Stanford Medicine. BRAICELET: Bio-Repository for American Indian Capacity, Education, Law, Economics and Technology [Internet]. Stanford Medicine; 2019.
Publications
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- Lee CH, Yoon HJ. Medical big data: promise and challenges. Kidney Res Clin Pract. 2017 Mar;36(1):3-11. doi: 10.23876/j.krcp.2017.36.1.3. Epub 2017 Mar 31.
- McShane LM, Cavenagh MM, Lively TG, Eberhard DA, Bigbee WL, Williams PM, Mesirov JP, Polley MY, Kim KY, Tricoli JV, Taylor JM, Shuman DJ, Simon RM, Doroshow JH, Conley BA. Criteria for the use of omics-based predictors in clinical trials. Nature. 2013 Oct 17;502(7471):317-20. doi: 10.1038/nature12564.
- McShane LM, Polley MY. Development of omics-based clinical tests for prognosis and therapy selection: the challenge of achieving statistical robustness and clinical utility. Clin Trials. 2013 Oct;10(5):653-65. doi: 10.1177/1740774513499458. Epub 2013 Sep 2.
- O'Donnell PH, Dolan ME. Cancer pharmacoethnicity: ethnic differences in susceptibility to the effects of chemotherapy. Clin Cancer Res. 2009 Aug 1;15(15):4806-14. doi: 10.1158/1078-0432.CCR-09-0344. Epub 2009 Jul 21.
- Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lonning PE, Borresen-Dale AL, Brown PO, Botstein D. Molecular portraits of human breast tumours. Nature. 2000 Aug 17;406(6797):747-52. doi: 10.1038/35021093.
- Schwaederle M, Zhao M, Lee JJ, Lazar V, Leyland-Jones B, Schilsky RL, Mendelsohn J, Kurzrock R. Association of Biomarker-Based Treatment Strategies With Response Rates and Progression-Free Survival in Refractory Malignant Neoplasms: A Meta-analysis. JAMA Oncol. 2016 Nov 1;2(11):1452-1459. doi: 10.1001/jamaoncol.2016.2129.
- Shaw DM, Elger BS, Colledge F. What is a biobank? Differing definitions among biobank stakeholders. Clin Genet. 2014 Mar;85(3):223-7. doi: 10.1111/cge.12268. Epub 2013 Oct 16.
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- PREFER