OCT and OCTA Deep Learning in Waldenström's Macroglobulinemia Patients
Waldenstrom MacroglobulinemiaThis study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in Waldenström's Macroglobulinemia patients, using optical coherence tomography angiography.
Covid-19 Vaccine Responsiveness in MM and Waldenstrom
Multiple MyelomaWaldenstrom Macroglobulinemia2 moreThis research is being done to see if the immune (defense) system of people with Multiple Myeloma and Waldenstrom's Macroglobulinemia reacts to the COVID-19 vaccine.
Collecting Stem Cells in Patients With Waldenstrom's Macroglobulinemia
LymphomaRATIONALE: Collecting and storing stem cells to study in the laboratory may help doctors learn more about collecting stem cells from patients who have undergone treatment for Waldenstrom's macroglobulinemia. PURPOSE: This laboratory study is collecting stem cells from patients with Waldenstrom's macroglobulinemia.
A Single-Arm, Expanded Access Study of Zanubrutinib in Participants With B-cell Malignancies
Waldenström MacroglobulinemiaThis is a multicenter expanded access study of zanubrutinib monotherapy for participants with B-cell malignancies who are ineligible to enroll into any available zanubrutinib clinical trials
Expanded Access Program for Pirtobrutinib for Participants With B-Cell Cancer
LeukemiaLymphocytic10 moreThis is an expanded access program for eligible participants with a previously treated B-cell cancer who are ineligible for an ongoing pirtobrutinib clinical trial. The treating physician/investigator contacts Lilly when, based on their medical opinion, a patient meets the criteria for inclusion in the expanded access program.
B-cell Chronic Lymphoid Malignancies Markers
Chronic Lymphocytic LeukemiaMarginal Zone Lymphoma4 moreLymphoid chronic B-cell malignancies are frequent pathologies that affect adults, with a very variable prognosis and treatment (some of them can remain untreated). The diagnosis of these malignancies relies on the study of the morphology of tumoral cells and the expression by these cells of several markers, mainly via a technical approach called flow cytometry. Because the markers currently used remain imperfect, additional ones are needed for an accurate diagnosis that affect both prognosis and treatment. In addition, because numerous markers are used at the diagnosis, there is a need of tools that synthetize the multi-dimensional structure of the data obtained. The primary purpose of this study is to detect new markers that can be of help for the diagnosis of Marginal Zone Lymphoma and other B-cell chronic lymphoid malignancies. The secondary purpose of this study is to obtain a statistical algorithm that allow a good prediction of the different sub-types of chronic B-cell malignancies mainly using the results of flow cytometry.