Primary mediastinal B-cell lymphoma (PMBL) seems to be reliably distinguished from diffuse large B-cell lymphoma (DLBCL) with microarray technology. We measured expression of Fcer2, Pdl2 and Blk genes using real-time quantitative polymerase chain reaction (RTqPCR) on formalin fixed, paraffin embedded material (FFPE) and suggested a formula to discriminate PMBL from DLBCL. For 39/82 included patients the diagnosis of PMBL was expected clinico-pathologically. Diagnosis of 10/39 and 2/43 of clinically considered PMBLs and DLBCLs, respectively, was not genetically confirmed. Compared to confirmed PMBLs, unconfirmed ones showed clinical features similar to DLBCLs, e.g. spleen infiltration (p=0,028) and decreased invasiveness in pericardium (p=0,045). They tended to have more common infradiaphragmatic involvement, less often tumor sclerosis or fluidothorax. There were no immunohistochemical differences between genetically confirmed and unconfirmed PMBLs. New approach of distinguishing PMBL and DLBCL is presented. It is based on expression of three genes in routinely available FFPE material using RTqPCR.
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http://dx.doi.org/10.4149/neo_2010_05_449 | DOI Listing |
Clin Nucl Med
January 2025
From the Department of Nuclear Medicine, Central People's Hospital of Zhanjiang, Zhanjiang, China.
Subcutaneous nodules and masses as the primary manifestation of diffuse large B-cell lymphoma are exceedingly rare. We present 18F-FDG PET/CT findings of multiple hypermetabolic nodules and masses distributed throughout the body, creating a characteristic "leopard man" appearance on the MIP image, in a 65-year-old man. An excisional biopsy of the right thigh mass confirmed the diagnosis of diffuse large B-cell lymphoma.
View Article and Find Full Text PDFCancer Rep (Hoboken)
January 2025
Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran.
Background: Recently, microRNAs (miRNAs) have been applied as biomarkers for diffuse large B-cell lymphoma (DLBCL) patients. Early diagnosis and management of DLBCL can improve patient survival and prognosis.
Aims: This systematic review and meta-analysis aimed to evaluate the diagnostic and prognostic accuracy of miRNA biomarkers in DLBCL patients.
Discov Oncol
January 2025
Department of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
B-cell non-Hodgkin lymphoma (B-NHL) is a highly heterogeneous group of lymphopoietic malignancies that account for 85% to 90% of all non-Hodgkin lymphomas. In recent years, CD19 Chimeric antigen receptor T (CAR T) cell immunotherapy has significantly improved the cure rate of B-NHL patients, but there are still some patients who cannot achieve remission after treatment, or relapse after remission. Therefore, it is of great importance to overcome the drug resistance of CD19 CAR T cells after B-NHL treatment and reduce the recurrence rate of CD19 CAR T cells after B-NHL treatment.
View Article and Find Full Text PDFAnn Hematol
January 2025
Department of Pathology, Copenhagen University Hospital - Zealand University Hospital Roskilde, Roskilde, Denmark.
Central nervous system (CNS) involvement in Waldenström macroglobulinemia (WM) is a rare complication that can manifest as Bing-Neel syndrome (BNS) or as histological transformation (HT) to diffuse large B-cell lymphoma (DLBCL). We report data from a single-center cohort of 469 patients consecutively diagnosed with WM between 2000 and 2022. BNS was identified in 1.
View Article and Find Full Text PDFNeuroradiology
January 2025
Medical School of Chinese PLA, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
Purpose: In primary central nervous system lymphoma (PCNSL), B-cell lymphoma-6 (BCL-6) is an unfavorable prognostic biomarker. We aim to non-invasively detect BCL-6 overexpression in PCNSL patients using multiparametric MRI and machine learning techniques.
Methods: 65 patients (101 lesions) with primary central nervous system lymphoma (PCNSL) diagnosed from January 2013 to July 2023, and all patients were randomly divided into a training set and a validation set according to a ratio of 8 to 2.
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