The Registry of Oncology Outcomes Associated with Testing and Treatment
NCT ID: NCT04028479
Last Updated: 2024-12-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
167 participants
OBSERVATIONAL
2021-05-05
2024-10-31
Brief Summary
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Detailed Description
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Data is reported by the group that is most qualified to provide this information and is proved, at point of care, using standardized data elements and processes. Physicians will report diagnosis, molecular characteristics, staging, disease burden, significant comorbidities, treatment response, and medical decision making. Molecular testing (reports and details) will be requested from testing laboratories. Any diagnostic films will be received digitally from the location the study was performed. Research staff assist in data entry and providing physicians needed data as part of the regular workflow to allow point-of-care reporting.
The Validation Cohorts and Analysis Cohorts may run sequentially or in parallel with each other.
Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Validation Cohort
Patients enrolled into the study to allow validation of a specific element, process, or endpoint. Validation will be done showing concordance with traditional interventional trial standards.
Biomarker Testing (L)
Patients who have received biomarker testing that could affect prognosis or treatment decisions. This generally excludes testing done to assist in the diagnosis of disease or histology where there is no treatment implication from this testing.
Systemic Treatment (T)
Patients who have received any treatment as part of their care. This refers to systemic treatment, but also allows other non-drug related interventions such as surgery or radiotherapy as part of the longitudinal care of the patient.
Analysis Cohorts
Patient who are enrolled into the study to allow analysis to determine any association, effect, or benefit. Cohorts can be determined prospectively and/or retrospectively for data already collected, Cohorts are identified to highlight collection of information on patients who are already receiving any treatment or testing as determined by the physician and patient independent of this study. Because many analysis cohorts will be determined in patients already enrolled in the study, this group is inclusive of many different sub-groupings or specific analysis cohorts of patients.
Biomarker Testing (L)
Patients who have received biomarker testing that could affect prognosis or treatment decisions. This generally excludes testing done to assist in the diagnosis of disease or histology where there is no treatment implication from this testing.
Systemic Treatment (T)
Patients who have received any treatment as part of their care. This refers to systemic treatment, but also allows other non-drug related interventions such as surgery or radiotherapy as part of the longitudinal care of the patient.
Patient Reported Outcomes (P)
Patients who have provided information about their disease, treatment course, or experience directly to the study using a patient facing tool or device.
Retrospective Chart Review Cohorts
This arm will use retrospective data obtained through systematic chart review on previously seen patients to compare, contrast, or enhance the efforts of the prospective arms. Because most RWD has been traditionally obtained through retrospective methods, this is also considered the "control arm." Data in this arm will be collected without any patient identifiers. This arm is optional.
No interventions assigned to this group
Interventions
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Biomarker Testing (L)
Patients who have received biomarker testing that could affect prognosis or treatment decisions. This generally excludes testing done to assist in the diagnosis of disease or histology where there is no treatment implication from this testing.
Systemic Treatment (T)
Patients who have received any treatment as part of their care. This refers to systemic treatment, but also allows other non-drug related interventions such as surgery or radiotherapy as part of the longitudinal care of the patient.
Patient Reported Outcomes (P)
Patients who have provided information about their disease, treatment course, or experience directly to the study using a patient facing tool or device.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Patient is diagnosed with advanced malignancy
* Patient is willing to be treated for this malignancy according to a plan determine by them and their physician
* patient will be willing to have regular follow up visits as part of their standard of care
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Taproot Health
INDUSTRY
Responsible Party
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Principal Investigators
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Razelle Kurzrock, MD
Role: STUDY_CHAIR
Moores Cancer Center at University of California at San Diego
Vivek Subbiah, MD
Role: PRINCIPAL_INVESTIGATOR
M.D. Anderson Cancer Center
Jennifer Johnson, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Sidney Kimmel Cancer Center at Thomas Jefferson University
Raymond Bergan, MD
Role: PRINCIPAL_INVESTIGATOR
OHSU Knight Cancer Institute
Locations
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Teton Cancer Institute
Idaho Falls, Idaho, United States
Oncology and Hematology of South Texas
Laredo, Texas, United States
Countries
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References
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Woodcock J, LaVange LM. Master Protocols to Study Multiple Therapies, Multiple Diseases, or Both. N Engl J Med. 2017 Jul 6;377(1):62-70. doi: 10.1056/NEJMra1510062. No abstract available.
Boland JF, Chung CC, Roberson D, Mitchell J, Zhang X, Im KM, He J, Chanock SJ, Yeager M, Dean M. The new sequencer on the block: comparison of Life Technology's Proton sequencer to an Illumina HiSeq for whole-exome sequencing. Hum Genet. 2013 Oct;132(10):1153-63. doi: 10.1007/s00439-013-1321-4. Epub 2013 Jun 12.
Morash M, Mitchell H, Beltran H, Elemento O, Pathak J. The Role of Next-Generation Sequencing in Precision Medicine: A Review of Outcomes in Oncology. J Pers Med. 2018 Sep 17;8(3):30. doi: 10.3390/jpm8030030.
Korphaisarn K, Kopetz S. BRAF-Directed Therapy in Metastatic Colorectal Cancer. Cancer J. 2016 May-Jun;22(3):175-8. doi: 10.1097/PPO.0000000000000189.
Sherman RE, Anderson SA, Dal Pan GJ, Gray GW, Gross T, Hunter NL, LaVange L, Marinac-Dabic D, Marks PW, Robb MA, Shuren J, Temple R, Woodcock J, Yue LQ, Califf RM. Real-World Evidence - What Is It and What Can It Tell Us? N Engl J Med. 2016 Dec 8;375(23):2293-2297. doi: 10.1056/NEJMsb1609216. No abstract available.
Kaplan RM, Chambers DA, Glasgow RE. Big data and large sample size: a cautionary note on the potential for bias. Clin Transl Sci. 2014 Aug;7(4):342-6. doi: 10.1111/cts.12178. Epub 2014 Jul 15.
AACR Project GENIE Consortium. AACR Project GENIE: Powering Precision Medicine through an International Consortium. Cancer Discov. 2017 Aug;7(8):818-831. doi: 10.1158/2159-8290.CD-17-0151. Epub 2017 Jun 1.
Dickson DJ, Pfeifer JD. Real-world data in the molecular era-finding the reality in the real world. Clin Pharmacol Ther. 2016 Feb;99(2):186-97. doi: 10.1002/cpt.300. Epub 2016 Jan 12.
Conley RB, Dickson D, Zenklusen JC, Al Naber J, Messner DA, Atasoy A, Chaihorsky L, Collyar D, Compton C, Ferguson M, Khozin S, Klein RD, Kotte S, Kurzrock R, Lin CJ, Liu F, Marino I, McDonough R, McNeal A, Miller V, Schilsky RL, Wang LI. Core Clinical Data Elements for Cancer Genomic Repositories: A Multi-stakeholder Consensus. Cell. 2017 Nov 16;171(5):982-986. doi: 10.1016/j.cell.2017.10.032.
Other Identifiers
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ROOT
Identifier Type: -
Identifier Source: org_study_id