Omic Technologies Applied to the Study of Diffuse Large B-cell Lymphoma and High-grade B-cell Lymphoma
Study Details
Study Description
Brief Summary
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)
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
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 Design
Outcome Measures
Primary Outcome Measures
- Changes in plasma concentration as measured by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS) [12 months]
Secondary Outcome Measures
- Progression-Free-Survival (PFS) related to the plasma metabolomic profile [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
- Prognostic factors as measured by the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) [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
- 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 [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.
Eligibility Criteria
Criteria
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
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Instituto Oncológico Nacional Dr. Juan Tanca Marengo | Guayaquil | Guayas | Ecuador | 090505 |
Sponsors and Collaborators
- Sociedad de Lucha Contra el Cáncer del Ecuador
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
Study Documents (Full-Text)
None provided.More Information
Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- CISOLGYE20230021