Tempus Priority Study: A Pan-tumor Observational Study
Study Details
Study Description
Brief Summary
Observational study that will be collecting clinical and molecular health information from cancer patients who have received comprehensive genomic profiling and meet the specific eligibility criteria outlined for each cohort with the goal of conducting research to advance cancer care and create a dataset that furthers cancer research.
Detailed Description
The Study will collect combined clinical and molecular health information for cancer patients in the United States from multiple academic medical centers and community oncology practices. Participants who agree to join the Study will have their molecular profiling results, associated clinical health information, and longitudinal outcomes health information collected by the participating Institution for submission to Tempus. The specific goal of the Study is to create an outcomes-based dataset for future research to improve cancer treatment.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Group 1: Standard of Care (SOC) CGP This group will facilitate collection of paired clinical and molecular data done as part of the standard of care or routine clinical care across a variety of institutions. The goal of Group 1 is to capture a broad range of participants to better understand longitudinal outcomes across institutions and standards of care. |
Other: Observation
No Intervention
|
Group 2: Disease or Profile Specific Cohorts Group 2 will consist of specific cohorts that will facilitate collection of paired clinical and molecular data done outside of the standard of care, longitudinal CGP, or narrowly defined cohorts based on mutations or treatment settings. The goal of Group 2 is to capture specific participants in specific cohorts to better understand longitudinal outcomes across institutions and standards of care. Protocol contains complete eligibility criteria. |
Other: Observation
No Intervention
|
Outcome Measures
Primary Outcome Measures
- Create robust data set of health information [Up to 10 years]
To create a robust data set of health information about cancer patients who receive comprehensive genomic profiling in order to facilitate future novel precision medicine research
Secondary Outcome Measures
- Document clinical events for patients who have had comprehensive genomic profiling [Up to 10 years]
To document specific clinical events in relation to diagnosis, treatment, and outcomes for patients who have had comprehensive genomic profiling
- Evaluate longitudinal paired tissue and cell free molecular testing [Up to 10 years]
To evaluate the feasibility of longitudinal paired tissue and cell free molecular testing of participants with specific types of cancer, mutations, or therapies
Other Outcome Measures
- Support prospective and retrospective research studies [Up to 10 years]
To support prospective and retrospective research studies on participants with specific cancer types
- Describe real world treatment outcomes [Up to 10 years]
To describe real world treatment outcomes (such as real-world response, real world duration of response, real world progression free survival, real world time to next treatment, real world time to treatment discontinuation, and overall survival)
- Review medical information for standard of care decisions and health outcomes [Up to 10 years]
To review medical information for standard of care decisions in the future and general health outcomes
Eligibility Criteria
Criteria
Inclusion Criteria:
-
Solid or hematologic malignancy.
-
Willing and able to provide informed consent where required.
-
Has received or will receive genomic profiling.
Exclusion Criteria:
-
Individuals without the capacity to consent.
-
Prisoners at the time of enrollment.
I/E criteria are specific for each cohort of Group 2 and available in the full protocol.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Pontchartrain Cancer Center | Covington | Louisiana | United States | 70433 |
2 | Central Care Cancer Center | Bolivar | Missouri | United States | 65613 |
3 | New Jersey Cancer Center and Blood Disorders, New Jersey Cancer Care | Belleville | New Jersey | United States | 07109 |
4 | Perlmutter Cancer Center, NYU Langone Health | New York | New York | United States | 10016 |
5 | TriHealth Cancer Institute- Good Samaritan Hospital | Cincinnati | Ohio | United States | 45220 |
6 | OhioHealth | Columbus | Ohio | United States | 43214 |
7 | Cancer Care Associates of York | York | Pennsylvania | United States | 17403 |
8 | Baylor College of Medicine | Houston | Texas | United States | 77030 |
Sponsors and Collaborators
- Tempus Labs
Investigators
- Principal Investigator: Kenneth Carson, MD, PhD, Tempus Labs, Inc.
Study Documents (Full-Text)
None provided.More Information
Publications
- Daoud A, Chu QS. Targeting Novel but Less Common Driver Mutations and Chromosomal Translocations in Advanced Non-Small Cell Lung Cancer. Front Oncol. 2017 Sep 29;7:222. doi: 10.3389/fonc.2017.00222. eCollection 2017. Review.
- Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing Precision Medicine Programs and Clinical Trials in the Community-Based Oncology Practice: Barriers and Best Practices. Am Soc Clin Oncol Educ Book. 2018 May 23;38:188-196. doi: 10.1200/EDBK_200633. Review.
- Griffith SD, Tucker M, Bowser B, Calkins G, Chang CJ, Guardino E, Khozin S, Kraut J, You P, Schrag D, Miksad RA. Generating Real-World Tumor Burden Endpoints from Electronic Health Record Data: Comparison of RECIST, Radiology-Anchored, and Clinician-Anchored Approaches for Abstracting Real-World Progression in Non-Small Cell Lung Cancer. Adv Ther. 2019 Aug;36(8):2122-2136. doi: 10.1007/s12325-019-00970-1. Epub 2019 May 28.
- Zehir A, Benayed R, Shah RH, Syed A, Middha S, Kim HR, Srinivasan P, Gao J, Chakravarty D, Devlin SM, Hellmann MD, Barron DA, Schram AM, Hameed M, Dogan S, Ross DS, Hechtman JF, DeLair DF, Yao J, Mandelker DL, Cheng DT, Chandramohan R, Mohanty AS, Ptashkin RN, Jayakumaran G, Prasad M, Syed MH, Rema AB, Liu ZY, Nafa K, Borsu L, Sadowska J, Casanova J, Bacares R, Kiecka IJ, Razumova A, Son JB, Stewart L, Baldi T, Mullaney KA, Al-Ahmadie H, Vakiani E, Abeshouse AA, Penson AV, Jonsson P, Camacho N, Chang MT, Won HH, Gross BE, Kundra R, Heins ZJ, Chen HW, Phillips S, Zhang H, Wang J, Ochoa A, Wills J, Eubank M, Thomas SB, Gardos SM, Reales DN, Galle J, Durany R, Cambria R, Abida W, Cercek A, Feldman DR, Gounder MM, Hakimi AA, Harding JJ, Iyer G, Janjigian YY, Jordan EJ, Kelly CM, Lowery MA, Morris LGT, Omuro AM, Raj N, Razavi P, Shoushtari AN, Shukla N, Soumerai TE, Varghese AM, Yaeger R, Coleman J, Bochner B, Riely GJ, Saltz LB, Scher HI, Sabbatini PJ, Robson ME, Klimstra DS, Taylor BS, Baselga J, Schultz N, Hyman DM, Arcila ME, Solit DB, Ladanyi M, Berger MF. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nat Med. 2017 Jun;23(6):703-713. doi: 10.1038/nm.4333. Epub 2017 May 8. Erratum in: Nat Med. 2017 Aug 4;23 (8):1004.
- TP-CA-001