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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).
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.
i. 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.
ii. How to contact, trace and test all eligible patients and impact outcomes to prevent future cancers in unaffected relatives
iii. 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:
Contribution to Science:
The seven steps to establish and operationalize of Labcorp/Omniseq biorepository:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort lung cancer |
| ||
| Gyn malignancies |
| ||
| Gastrointestinal malignancies Cohort |
| ||
| Melanoma Cohort |
| ||
| Breast cancer Cohort |
| ||
| Head and neck cancer Cohort |
| ||
| Sarcoma and soft tissue cancer cohort |
| ||
| Prostate cancer |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| OmniSeq Test | Diagnostic Test | Genomic and immune profiling assay for all solid tumors |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Case Inclusion Criteria
All Cases will be classified as following cohorts
Cohort lung cancer - Subject must meet the following criteria:
Gyn malignancies (list ovarian and uterine cancer separately)
Gastrointestinal malignancies Cohort (list all cancers separately-colorectal, gastric, esophageal and pancreatic)
Melanoma Cohort
Breast cancer Cohort
Head and neck cancer Cohort
Sarcoma and soft tissue cancer cohort
Prostate cancer
Additional Requirements
Exclusion Criteria
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Individuals with advanced solid tumors
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Clinical Site | Fort Payne | Alabama | 35958 | United States | ||
| Clinical Site |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 10676951 | Background | Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J Jr, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Levy R, Wilson W, Grever MR, Byrd JC, Botstein D, Brown PO, Staudt LM. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature. 2000 Feb 3;403(6769):503-11. doi: 10.1038/35000501. | |
| 26457759 |
| Label | URL |
|---|---|
| National Cancer Institute. Cancer statistics (2018) | View source |
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In the optional biobank component of the study, participants may elect to give a blood sample that will be stored in cell-free DNA streck tubes for future research use
| Orange City |
| Florida |
| 32763 |
| United States |
| Clinical Site | Stuart | Florida | 34994 | United States |
| Clinical Site | Dublin | Georgia | 31021 | United States |
| Clinical Site | Fort Wayne | Indiana | 46804 | United States |
| Clinical Site | Covington | Louisiana | 70433 | United States |
| Clinical Site | Huntersville | North Carolina | 28078 | United States |
| Clinical Site | Rock Hill | South Carolina | 29732 | United States |
| Background |
| Guinney J, Dienstmann R, Wang X, de Reynies A, Schlicker A, Soneson C, Marisa L, Roepman P, Nyamundanda G, Angelino P, Bot BM, Morris JS, Simon IM, Gerster S, Fessler E, De Sousa E Melo F, Missiaglia E, Ramay H, Barras D, Homicsko K, Maru D, Manyam GC, Broom B, Boige V, Perez-Villamil B, Laderas T, Salazar R, Gray JW, Hanahan D, Tabernero J, Bernards R, Friend SH, Laurent-Puig P, Medema JP, Sadanandam A, Wessels L, Delorenzi M, Kopetz S, Vermeulen L, Tejpar S. The consensus molecular subtypes of colorectal cancer. Nat Med. 2015 Nov;21(11):1350-6. doi: 10.1038/nm.3967. Epub 2015 Oct 12. |
| 10963602 | Background | 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. |
| 12068308 | Background | Davies H, Bignell GR, Cox C, Stephens P, Edkins S, Clegg S, Teague J, Woffendin H, Garnett MJ, Bottomley W, Davis N, Dicks E, Ewing R, Floyd Y, Gray K, Hall S, Hawes R, Hughes J, Kosmidou V, Menzies A, Mould C, Parker A, Stevens C, Watt S, Hooper S, Wilson R, Jayatilake H, Gusterson BA, Cooper C, Shipley J, Hargrave D, Pritchard-Jones K, Maitland N, Chenevix-Trench G, Riggins GJ, Bigner DD, Palmieri G, Cossu A, Flanagan A, Nicholson A, Ho JW, Leung SY, Yuen ST, Weber BL, Seigler HF, Darrow TL, Paterson H, Marais R, Marshall CJ, Wooster R, Stratton MR, Futreal PA. Mutations of the BRAF gene in human cancer. Nature. 2002 Jun 27;417(6892):949-54. doi: 10.1038/nature00766. Epub 2002 Jun 9. |
| 27273579 | Background | 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. |
| 24132288 | Background | 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. |
| 24000377 | Background | 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. |
| 28392994 | Background | 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. |
| 32075640 | Background | Genevieve LD, Martani A, Shaw D, Elger BS, Wangmo T. Structural racism in precision medicine: leaving no one behind. BMC Med Ethics. 2020 Feb 19;21(1):17. doi: 10.1186/s12910-020-0457-8. |
| 33037017 | Background | Awasthi S, Berglund A, Abraham-Miranda J, Rounbehler RJ, Kensler K, Serna A, Vidal A, You S, Freeman MR, Davicioni E, Liu Y, Karnes RJ, Klein EA, Den RB, Trock BJ, Campbell JD, Einstein DJ, Gupta R, Balk S, Lal P, Park JY, Cleveland JL, Rebbeck TR, Freedland SJ, Yamoah K. Comparative Genomics Reveals Distinct Immune-oncologic Pathways in African American Men with Prostate Cancer. Clin Cancer Res. 2021 Jan 1;27(1):320-329. doi: 10.1158/1078-0432.CCR-20-2925. Epub 2020 Oct 9. |
| 28770442 | Background | Bentley AR, Callier S, Rotimi CN. Diversity and inclusion in genomic research: why the uneven progress? J Community Genet. 2017 Oct;8(4):255-266. doi: 10.1007/s12687-017-0316-6. Epub 2017 Jul 18. |
| 19622575 | Background | 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. |
| 24001330 | Background | 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. |
| 30365879 | Background | UK Biobank data on 500,000 people paves way to precision medicine. Nature. 2018 Oct;562(7726):163-164. doi: 10.1038/d41586-018-06950-9. No abstract available. |
| Background | Tutton R. Biobanks and the inclusion of racial/ethnic minorities. Race/ Ethnicity: Multidisciplinary Global Contexts; 2009. p. 75-95. |
| National Cancer Institute. Cancer types (2018) | View source |
| Jessica Kent. Health Affairs. Accessed December 25, 2020 | View source |
| Giorgio Sirugo et al, The Missing Diversity in Human Genetic Studies. Cell. Accessed December 25, 2020 | View source |
| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| D010051 | Ovarian Neoplasms |
| D014594 | Uterine Neoplasms |
| D015179 | Colorectal Neoplasms |
| D013274 | Stomach Neoplasms |
| D004938 | Esophageal Neoplasms |
| D010190 | Pancreatic Neoplasms |
| D008545 | Melanoma |
| D001943 | Breast Neoplasms |
| D006258 | Head and Neck Neoplasms |
| D012509 | Sarcoma |
| D012208 | Rhabdomyosarcoma |
| D011471 | Prostatic Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D004701 | Endocrine Gland Neoplasms |
| D010049 | Ovarian Diseases |
| D000291 | Adnexal Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D000091662 | Genital Diseases |
| D004700 | Endocrine System Diseases |
| D006058 | Gonadal Disorders |
| D014591 | Uterine Diseases |
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D013272 | Stomach Diseases |
| D004935 | Esophageal Diseases |
| D010182 | Pancreatic 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 |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D001941 | Breast Diseases |
| D018204 | Neoplasms, Connective and Soft Tissue |
| D009217 | Myosarcoma |
| D009379 | Neoplasms, Muscle Tissue |
| D005834 | Genital Neoplasms, Male |
| D005832 | Genital Diseases, Male |
| D011469 | Prostatic Diseases |
| D052801 | Male Urogenital Diseases |
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