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Objective: To investigate the predictive value of machine learning-based PET/CT radiomics and clinical risk factors in predicting interim efficacy in patients with follicular lymphoma (FL).

Methods: This study retrospectively analyzed data from 97 patients with FL diagnosed via histopathological examination between July 2012 and November 2023. Lesion segmentation was performed using LIFEx software, and radiomics features were extracted through the uAI Research Portal (uRP) platform, including first-order features, shape features, and texture features.

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This retrospective cohort study examined the association between radiotherapy and prognosis in follicular lymphoma (FL) patients, with stratification by age, Ann Arbor stage, primary tumor site, surgical status, and grade. Using data from the SEER database, we employed Cox proportional hazards and competing risk models to assess the impact of radiotherapy on overall survival (OS) and cancer-specific survival (CSS) in 7,551 FL patients. The association between radiotherapy and second primary cancer (SPC) was explored using Logistic regression model.

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Background: The differential diagnosis between adult systemic EBV-positive T-cell lymphoproliferative disorders (EBV T-LPD) and angioimmunoblastic T-cell lymphoma (AITL) with multiple EBV infections is difficult, and distinguishing between the two has become a diagnostic challenge for pathologists. Given that the clinical treatment plans are different, an accurate diagnosis is a prerequisite to ensure effective treatment, therefore, it is extremely necessary and meaningful to find effective pathological indicators for distinguishing between two diseases.

Methods: We present a retrospective study comparing 7 cases of adult EBV T-LPD and 16 cases of AITL with multiple EBV infections diagnosed at our institution from 2017 to 2022.

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Archived clinical formalin-fixed paraffin-embedded tissue (FFPE) is valuable for the study of tumor epigenetics. Although protocol of chromatin immunoprecipitation coupled with next generation sequencing (NGS) (ChIP-seq) using FFPE samples has been established, removal of interference signals from non-target cell components in the samples is still needed. In this study, the protocol of ChIP-seq with purified cells from FFPE lymphoid tissue of nodal T follicular helper cell lymphoma, angioimmunoblastic type (nTFHL-AI) after fluorescence-activated cell sorting (FACS) was established and optimized.

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The cell death receptor FAS and its ligand (FASLG) play crucial roles in the selection of B cells during the germinal center (GC) reaction. Failure to eliminate potentially harmful B cells via FAS can lead to lymphoproliferation and the development of B cell malignancies. The classic form of follicular lymphoma (FL) is a prototypic GC-derived B cell malignancy, characterized by the t(14;18)(q32;q21)IGH::BCL2 translocation and overexpression of antiapoptotic BCL2.

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