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Lymphoid 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.
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Saïd CHAYER, PhD, HDR; Laurent MAUVIEUX, MD, PhD
Data sourced from clinicaltrials.gov
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