- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05834426
Omic Technologies Applied to the Study of B-cell Lymphoma for the Discovery of Diagnostic and Prognosis Biomarkers
June 19, 2023 updated by: Sociedad de Lucha Contra el Cáncer del Ecuador
Omic Technologies Applied to the Study of Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma for the Discovery of Diagnostic and Prognosis Biomarkers
The goal of this observational study is to determine the plasma metabolomic profile in diffuse large B-cell lymphoma and high-grade B lymphomas patients before, during and after treatment by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS)
Study Overview
Status
Not yet recruiting
Conditions
Detailed Description
The main question it aims to answer is the correlation between the plasma metabolomic profile of diffuse large B-cell lymphoma and high-grade B lymphomas patients before and after treatment determined by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS) and analysed with MetaboAnalyst web platform to identify specific over- or under-expressed markers.
Study Type
Observational
Enrollment (Estimated)
50
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Katherine García Matamoros, MD
- Phone Number: 2385 5933718300
- Email: comite_investigacion@solca.med.ec
Study Locations
-
-
Guayas
-
Guayaquil, Guayas, Ecuador, 090505
- Instituto Oncológico Nacional Dr. Juan Tanca Marengo
-
Contact:
- Katherine García Matamoros
- Phone Number: 2385 5933718300
- Email: comite_investigacion@solca.med.ec
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Patients diagnosed with Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma according to the 2022 WHO classification
Description
Inclusion Criteria:
- 18 years and older;
- Both sexes;
- Patients with confirmed histopathological diagnosis of Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma;
- Eastern Cooperative Oncology Group (ECOG) performance status 0 to 2;
- Patient intending to receive full-dose treatment (Monoclonal antibodies plus anthracycline based combination chemotherapy);
- Staged with PET-CT or CT.
Exclusion Criteria:
- Patients with comorbidities that may interfere with the interpretation of the results (CKD in dialysis phase, Autoimmune diseases, uncontrolled Diabetes Mellitus (DM), symptomatic Heart Failure (CHF), HIV positive, positive serology for hepatitis B and C);
- Patients requiring multiple blood transfusions (4 or more blood components for the same period or cause);
- Pregnant women;
- First-line treatment in another institution;
- Diffuse transformed Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Changes in plasma concentration as measured by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS)
Time Frame: 12 months
|
For metabolomic analysis, different portions of the blood (plasma and lymphocytes) will be subjected to metabolite extraction by the extraction method defined by Glasgow Polyomics.
With protein precipitation, 200 microliters (uL) of the fluid with the metabolites is transferred to a new microtube and must be maintained at -80 °C until the time of metabolomic analysis.
|
12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Progression-Free-Survival (PFS) related to the plasma metabolomic profile
Time Frame: 12 months
|
Progression-Free-Survival calculates the time from patient treatment to disease recurrence or death due to disease progression related to the metabolomic profile during the time of observation
|
12 months
|
Prognostic factors as measured by the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI)
Time Frame: 12 months
|
The NCCN-IPI is a robust and useful tool to stratify prognostically relevant subgroups of Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma patients in the current era of rituximab-based therapy
|
12 months
|
Correlation between change in plasma metabolomic profile and treatment response as measured by Lugano criteria by PET-CT (positron emission tomography / computer tomography) or CT (computer tomography) scan
Time Frame: 12 months
|
A correlation between change in plasma metabolomic profile and treatment response as measured by Lugano criteria by PET-CT or CT scan will be analysed using the Pearson's and Spearman's coefficients.
The Lugano classification is used for assessment, staging and response of Hodgkin lymphoma and non-Hodgkin lymphoma.
Criteria responses range from complete response (CR), partial response (PR), stable disease (SD) or progressive disease (PD), with progressive disease (PD) indicating worse response to treatment.
|
12 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Katherine García Matamoros, MD, Sociedad de Lucha Contra el Cáncer del Ecuador
- Principal Investigator: Fernanda Bertuccez Cordeiro, PhD, Escuela Superior Politécnica del Litoral
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Tian L, Li C, Sun J, Zhai Y, Wang J, Liu S, Jiang Y, Wu W, Xing D, Lv Y, Guo J, Xu H, Sun H, Li Y, Li L, Zhao Z. Efficacy of chimeric antigen receptor T cell therapy and autologous stem cell transplant in relapsed or refractory diffuse large B-cell lymphoma: A systematic review. Front Immunol. 2023 Jan 17;13:1041177. doi: 10.3389/fimmu.2022.1041177. eCollection 2022.
- Nowakowski GS, Feldman T, Rimsza LM, Westin JR, Witzig TE, Zinzani PL. Integrating precision medicine through evaluation of cell of origin in treatment planning for diffuse large B-cell lymphoma. Blood Cancer J. 2019 May 16;9(6):48. doi: 10.1038/s41408-019-0208-6.
- Carneiro BA, Costa R, Taxter T, Chandra S, Chae YK, Cristofanilli M, Giles FJ. Is Personalized Medicine Here? Oncology (Williston Park). 2016 Apr;30(4):293-303, 307.
- Rinschen MM, Ivanisevic J, Giera M, Siuzdak G. Identification of bioactive metabolites using activity metabolomics. Nat Rev Mol Cell Biol. 2019 Jun;20(6):353-367. doi: 10.1038/s41580-019-0108-4.
- Schmidt DR, Patel R, Kirsch DG, Lewis CA, Vander Heiden MG, Locasale JW. Metabolomics in cancer research and emerging applications in clinical oncology. CA Cancer J Clin. 2021 Jul;71(4):333-358. doi: 10.3322/caac.21670. Epub 2021 May 13.
- Pera B, Krumsiek J, Assouline SE, Marullo R, Patel J, Phillip JM, Roman L, Mann KK, Cerchietti L. Metabolomic Profiling Reveals Cellular Reprogramming of B-Cell Lymphoma by a Lysine Deacetylase Inhibitor through the Choline Pathway. EBioMedicine. 2018 Feb;28:80-89. doi: 10.1016/j.ebiom.2018.01.014. Epub 2018 Jan 31.
- Fahrmann JF, Saini NY, Chia-Chi C, Irajizad E, Strati P, Nair R, Fayad LE, Ahmed S, Lee HJ, Iyer S, Steiner R, Vykoukal J, Wu R, Dennison JB, Nastoupil L, Jain P, Wang M, Green M, Westin J, Blumenberg V, Davila M, Champlin R, Shpall EJ, Kebriaei P, Flowers CR, Jain M, Jenq R, Stein-Thoeringer CK, Subklewe M, Neelapu SS, Hanash S. A polyamine-centric, blood-based metabolite panel predictive of poor response to CAR-T cell therapy in large B cell lymphoma. Cell Rep Med. 2022 Nov 15;3(11):100720. doi: 10.1016/j.xcrm.2022.100720.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
September 1, 2023
Primary Completion (Estimated)
August 31, 2026
Study Completion (Estimated)
August 31, 2026
Study Registration Dates
First Submitted
April 3, 2023
First Submitted That Met QC Criteria
April 27, 2023
First Posted (Actual)
April 28, 2023
Study Record Updates
Last Update Posted (Actual)
June 22, 2023
Last Update Submitted That Met QC Criteria
June 19, 2023
Last Verified
June 1, 2023
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- CISOLGYE20230021
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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