Lymphomas with recurrent chromosomal breakpoints activating multiple oncogenes, including MYC, BCL2, and BCL6 are often referred to as "Dual Hit" or "Double Hit" lymphomas (DHL). In the updated classification for malignant lymphomas by the World Health Organization (WHO), the novel category of "B-cell lymphoma unclassifiable with features intermediate between diffuse large B-cell lymphoma (DLBCL) and Burkitt's lymphoma (BL)" was proposed in an attempt to create a (temporary) container for aggressive mature B-cell lymphomas that should not be diagnosed as either BL or DLBCL. DHL make up an important part of this novel WHO category, the other part representing heterogeneous cases of aggressive B-cell lymphoma that have features of BL. DHL are highly aggressive lymphomas with generally poor response to first line and salvage treatment. Limited data is available to guide therapeutic decisions, and despite aggressive measures including high dose (HD) chemotherapy followed by autologous hematopoietic cell transplantation (AHCT), outcome is unsatisfyingly poor. Herein, we report a case of a patient with DHL and review the relevant literature.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196880 | PMC |
http://dx.doi.org/10.4137/CCRep.S11393 | DOI Listing |
Sci Rep
December 2024
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, 600127, Chennai, India.
In the current scenario, decision-making models are essential for analyzing real-world problems. To address the dynamic nature of these problems, fuzzy decision-making models have been proposed by various researchers. However, an advanced technique is needed to assess uncertainty in real-time complex situations.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Pharmacy, The Second Affiliated Hospital of Dalian Medical University, #467 Zhongshan Road, Dalian, 116023, Liaoning, China.
Sodium-glucose co-transport protein 2 (SGLT2) inhibitors, a novel category of oral hypoglycemic agents, offer a promising outlook for individuals experiencing heart failure with reduced ejection fraction. Evidence is emerging that highlights their potential in alleviating myocardial fibrosis and oxidative stress. However, the precise mechanisms through which SGLT2 inhibitors influence myocardial fibrosis induced by angiotensin II (Ang II) or transforming growth factor-β1 (TGF-β1) are not fully understood.
View Article and Find Full Text PDFCurr Pharm Teach Learn
December 2024
School of Pharmacy, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, United Kingdom.
Introduction: Mental illness stigma can result in discriminative practice in pharmacy, such as providing less pharmaceutical care to people living with mental illness (PMI) than those with physical illness. Pharmacy education should aim to reduce the impact of mental illness stigma on the pharmaceutical care of PMI. Whilst previous research has shown that some interventions can reduce stereotyping and prejudice in pharmacy students, the impact on subsequent discrimination is questionable and the reasons for successful and unsuccessful outcomes are unclear.
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Key Laboratory of Tropical Medicinal Resource Chemistry of Ministry of Education, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
The genus have long been recognized as a source of structural novel, pharmaceutically relevant natural products. We reviewed the structures and activities of secondary metabolites isolated from the genus of from January 1995 to June 2024, and 280 compounds, including six major categories-terpenoids, alkaloids, polyketides, polyphenols, steroids, and other classes-are presented in this review. Among these metabolites, 196 were identified as new structures.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge UB8 3PH, UK.
In recent years, significant advancements have been made in the field of brain-computer interfaces (BCIs), particularly in the area of emotion recognition using EEG signals. The majority of earlier research in this field has missed the spatial-temporal characteristics of EEG signals, which are critical for accurate emotion recognition. In this study, a novel approach is presented for classifying emotions into three categories, positive, negative, and neutral, using a custom-collected dataset.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!