NCT07154823

Brief Summary

The TEMPUS AQUARIUS Study is a non-interventional, longitudinal observational study focused on hematological malignancies. It will collect rich molecular (multi-omic) and clinical data from patient cohorts through serial blood draws and the acquisition of leftover tissue and/or bone marrow aspirates during their routine therapy and disease monitoring. The primary goal is to understand the association between biomarkers and real-world clinical outcomes in these patient populations.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
550

participants targeted

Target at P75+ for all trials

Timeline
114mo left

Started Jan 2026

Longer than P75 for all trials

Geographic Reach
1 country

5 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress4%
Jan 2026Nov 2035

First Submitted

Initial submission to the registry

August 19, 2025

Completed
16 days until next milestone

First Posted

Study publicly available on registry

September 4, 2025

Completed
5 months until next milestone

Study Start

First participant enrolled

January 27, 2026

Completed
8.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2034

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2035

Last Updated

March 3, 2026

Status Verified

March 1, 2026

Enrollment Period

8.8 years

First QC Date

August 19, 2025

Last Update Submit

March 2, 2026

Conditions

Keywords

Hematologic MalignancyAcute Myeloid LeukemiaAMLNext Generation SequencingNGSFollicular Lymphoma

Outcome Measures

Primary Outcomes (1)

  • To assess biomarker landscape in the progression as well as baseline biospecimen samples and correlate with with real-world outcomes across multiple hematologic indications.

    The goal of this biomarker discovery registry is to assess DNA and RNA expression patterns and potential biomarkers in biospecimens collected at baseline and throughout treatment, with the goal of generating hypotheses about predictive markers for therapy selection, prognostic indicators, and potential mechanisms of resistance to standard-of-care therapies across multiple hematologic indications.

    5 years

Study Arms (2)

Cohort 001: Newly Diagnosed Acute Myeloid Leukemia (AML)

Newly diagnosed patients with a primary or secondary diagnosis of Acute Myeloid Leukemia (AML)

Other: None - Observational Study

Cohort 002: Folicular Lymphoma

Cohort 002 contains four subgroups of Follicular Lymphoma (FL): A: Newly Diagnosed FL on Active Observation; B: Newly Diagnosed High Risk FL; C: Relapsed / Refractory High Risk POD24 FL; D: Transformed FL

Other: None - Observational Study

Interventions

There are no interventions in this observational study.

Cohort 001: Newly Diagnosed Acute Myeloid Leukemia (AML)Cohort 002: Folicular Lymphoma

Eligibility Criteria

Age0 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

This study is intended to include multiple hematologic malignancies.

You may qualify if:

  • Willing and able to participate in the research and provide biospecimens
  • Willing and able to provide informed consent
  • Have documented diagnosis of AML according to the World Health Organization (WHO) classification
  • Secondary AML is allowed
  • Histologically confirmed diagnosis of Follicular Lymphoma (Subgroups A-D)
  • Submission of baseline sample representative of current disease per laboratory manual (Subgroups A-D)
  • A (Newly Diagnosed Active Observation): On active observation for 6 more or less, or intended for active observation
  • B (Newly Diagnosed, High Risk): Intended for first line treatment
  • B (Newly Diagnosed, High Risk): Meets the criteria for high risk by any of the following: Follicular Lymphoma Inernational Prognostic Index (FLIPI) High Risk, Groupe d'Etude des Lymphomes Follicularies (GELF) High Tumor Burden, Lactate Dehydrogenase (LDH) above the upper limit of normal (ULN)
  • C (Relapsed / Refractory High Risk POD24 FL): Documented progression of disease within 24 months (POD24) of first line follicular lymphoma treatment, prior to second line treatment
  • D (Transformed FL): Pathologically confirmed transformation

You may not qualify if:

  • \. Not willing or able to adhere with the study procedures
  • Cohort 001:
  • \. Have received any prior therapy intended for standard of care (SoC) treatment of AML
  • Cohort 002:
  • A: Received prior treatment for follicular lymphoma
  • A: Diagnosed with High Risk follicular lymphoma by any of the following definitions: FLIPI High Risk, GELF High Tumor Burden, LDH above ULN
  • A: Resected patients with NED
  • B: Intended for active observation
  • B: Received prior treatment for follicular lymphoma

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (5)

The Center for Cancer and Blood Disorders

Bethesda, Maryland, 20817, United States

RECRUITING

Cancer Care Specialists of Reno

Reno, Nevada, 89511, United States

RECRUITING

Taylor Cancer Research Center

Maumee, Ohio, 43537, United States

RECRUITING

Cancer Care Associates of York

York, Pennsylvania, 17403, United States

RECRUITING

Avera Cancer Institue

Sioux Falls, South Dakota, 57105, United States

RECRUITING

Related Publications (15)

  • Dohner H, Wei AH, Appelbaum FR, Craddock C, DiNardo CD, Dombret H, Ebert BL, Fenaux P, Godley LA, Hasserjian RP, Larson RA, Levine RL, Miyazaki Y, Niederwieser D, Ossenkoppele G, Rollig C, Sierra J, Stein EM, Tallman MS, Tien HF, Wang J, Wierzbowska A, Lowenberg B. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood. 2022 Sep 22;140(12):1345-1377. doi: 10.1182/blood.2022016867.

    PMID: 35797463BACKGROUND
  • Dohner H, DiNardo CD, Appelbaum FR, Craddock C, Dombret H, Ebert BL, Fenaux P, Godley LA, Hasserjian RP, Larson RA, Levine RL, Miyazaki Y, Niederwieser D, Ossenkoppele G, Rollig C, Sierra J, Stein EM, Tallman MS, Tien HF, Wang J, Wierzbowska A, Wei AH, Lowenberg B. Genetic risk classification for adults with AML receiving less-intensive therapies: the 2024 ELN recommendations. Blood. 2024 Nov 21;144(21):2169-2173. doi: 10.1182/blood.2024025409.

    PMID: 39133932BACKGROUND
  • Charalampous C, Goel U, Kapoor P, Binder M, Buadi FK, Cook J, Dingli D, Dispenzieri A, Fonder AL, Gertz MA, Gonsalves W, Hayman SR, Hobbs MA, Hwa YL, Kourelis T, Lacy MQ, Leung N, Lin Y, Warsame R, Kyle RA, Rajkumar SV, Kumar SK. Outcomes of patients with primary refractory multiple myeloma in the era of triplet and quadruplet induction therapy. Blood Adv. 2023 Aug 22;7(16):4371-4380. doi: 10.1182/bloodadvances.2023009681.

    PMID: 37603349BACKGROUND
  • Kumar S, Paiva B, Anderson KC, Durie B, Landgren O, Moreau P, Munshi N, Lonial S, Blade J, Mateos MV, Dimopoulos M, Kastritis E, Boccadoro M, Orlowski R, Goldschmidt H, Spencer A, Hou J, Chng WJ, Usmani SZ, Zamagni E, Shimizu K, Jagannath S, Johnsen HE, Terpos E, Reiman A, Kyle RA, Sonneveld P, Richardson PG, McCarthy P, Ludwig H, Chen W, Cavo M, Harousseau JL, Lentzsch S, Hillengass J, Palumbo A, Orfao A, Rajkumar SV, Miguel JS, Avet-Loiseau H. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol. 2016 Aug;17(8):e328-e346. doi: 10.1016/S1470-2045(16)30206-6.

    PMID: 27511158BACKGROUND
  • Reed SC, Croessmann S, Park BH. CHIP Happens: Clonal Hematopoiesis of Indeterminate Potential and Its Relationship to Solid Tumors. Clin Cancer Res. 2023 Apr 14;29(8):1403-1411. doi: 10.1158/1078-0432.CCR-22-2598.

    PMID: 36454121BACKGROUND
  • Salam DSDA, Thit EE, Teoh SH, Tan SY, Peh SC, Cheah SC. C-MYC, BCL2 and BCL6 Translocation in B-cell Non-Hodgkin Lymphoma Cases. J Cancer. 2020 Jan 1;11(1):190-198. doi: 10.7150/jca.36954. eCollection 2020.

    PMID: 31892985BACKGROUND
  • Clara JA, Sallman DA, Padron E. Clinical management of myelodysplastic syndrome/myeloproliferative neoplasm overlap syndromes. Cancer Biol Med. 2016 Sep;13(3):360-372. doi: 10.20892/j.issn.2095-3941.2016.0043.

    PMID: 27807503BACKGROUND
  • Myers RM, Li Y, Barz Leahy A, Barrett DM, Teachey DT, Callahan C, Fasano CC, Rheingold SR, DiNofia A, Wray L, Aplenc R, Baniewicz D, Liu H, Shaw PA, Pequignot E, Getz KD, Brogdon JL, Fesnak AD, Siegel DL, Davis MM, Bartoszek C, Lacey SF, Hexner EO, Chew A, Wertheim GB, Levine BL, June CH, Grupp SA, Maude SL. Humanized CD19-Targeted Chimeric Antigen Receptor (CAR) T Cells in CAR-Naive and CAR-Exposed Children and Young Adults With Relapsed or Refractory Acute Lymphoblastic Leukemia. J Clin Oncol. 2021 Sep 20;39(27):3044-3055. doi: 10.1200/JCO.20.03458. Epub 2021 Jun 22.

    PMID: 34156874BACKGROUND
  • Eichhorst B, Hallek M. Prognostication of chronic lymphocytic leukemia in the era of new agents. Hematology Am Soc Hematol Educ Program. 2016 Dec 2;2016(1):149-155. doi: 10.1182/asheducation-2016.1.149.

    PMID: 27913474BACKGROUND
  • Kikushige Y. Pathogenesis of chronic lymphocytic leukemia and the development of novel therapeutic strategies. J Clin Exp Hematop. 2020 Dec 15;60(4):146-158. doi: 10.3960/jslrt.20036. Epub 2020 Nov 4.

    PMID: 33148933BACKGROUND
  • Thomas M. Pharma and the benefits of Real World Data. Drug Discovery World (DDW). Published November 4, 2021. Accessed May 5, 2023. https://www.ddw-online.com/trends-analysis-pharma-and-the-benefits-of-real-world-data-13702-202111/

    BACKGROUND
  • Office of the Commissioner. Oncology Real World Evidence Program. U.S. Food and Drug Administration. Accessed May 5, 2023. https://www.fda.gov/about-fda/oncology-center-excellence/oncology-real-world-evidence-program

    BACKGROUND
  • Vellanki PJ, Ghosh S, Pathak A, Fusco MJ, Bloomquist EW, Tang S, Singh H, Philip R, Pazdur R, Beaver JA. Regulatory implications of ctDNA in immuno-oncology for solid tumors. J Immunother Cancer. 2023 Feb;11(2):e005344. doi: 10.1136/jitc-2022-005344.

    PMID: 36796877BACKGROUND
  • Abbosh C, Birkbak NJ, Swanton C. Early stage NSCLC - challenges to implementing ctDNA-based screening and MRD detection. Nat Rev Clin Oncol. 2018 Sep;15(9):577-586. doi: 10.1038/s41571-018-0058-3.

    PMID: 29968853BACKGROUND
  • Grayson N. Real-world data can help make better drugs and do it faster. STAT. Published May 2, 2018. Accessed May 5, 2023. https://www.statnews.com/2018/05/02/real-world-data-drug-development/

    BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Blood will be collected at pre-specified baseline, follow-up and progression/recurrence or primary refractory disease timepoints. Leftover tissue and/or bone marrow aspirate may be collected depending on the indication of the cohort from standard of care procedures.

MeSH Terms

Conditions

Leukemia, Myeloid, AcuteLymphoma, FollicularHematologic Neoplasms

Condition Hierarchy (Ancestors)

Leukemia, MyeloidLeukemiaNeoplasms by Histologic TypeNeoplasmsHematologic DiseasesHemic and Lymphatic DiseasesLymphoma, Non-HodgkinLymphomaLymphoproliferative DisordersLymphatic DiseasesImmunoproliferative DisordersImmune System DiseasesNeoplasms by Site

Study Officials

  • Michael Thompson, MD, PhD, FASCO

    Tempus AI

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Aquarius Clinical Study Manager

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
5 Years
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 19, 2025

First Posted

September 4, 2025

Study Start

January 27, 2026

Primary Completion (Estimated)

November 1, 2034

Study Completion (Estimated)

November 1, 2035

Last Updated

March 3, 2026

Record last verified: 2026-03

Locations