Extranodal natural killer (NK)/T-cell lymphoma (ENKTCL) is a distinct type of non-Hodgkin lymphoma predominantly observed in Asian and Latin American adult males. A 12-year-old Hispanic female diagnosed with ENKTCL was enrolled in our genomic profiling research protocol. We identified specific somatic alterations consistent with diagnosis of ENKTCL as well as oncogenic mutations in MAP2K1 and STAT3. To our knowledge, this is the first report of an immunophenotypically confirmed and genetically profiled case of ENKTCL in a female pediatric patient in the United States, including its unique treatment and favorable outcome.
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http://dx.doi.org/10.1002/pbc.25854 | DOI Listing |
Front Immunol
January 2025
Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Human natural killer (NK) cells can be sub-divided into two functional subsets but the clinical significance of these CD56 and CD56 NK cells in anti-tumour immunity remains largely unexplored. We determined the relative abundances of gene signatures for CD56 and CD56 NK cells along with 3 stromal and 18 other immune cell types in the patient tumour transcriptomes from the cancer genome atlas bladder cancer dataset (TCGA-BLCA). Using this computational approach, CD56 NK cells were predicted to be the more abundant tumour-infiltrating NK subset which was also associated with improved patient prognosis.
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January 2025
The Catholic University of Korea and Ho-Youn Kim's Clinic for Arthritis Rheumatism, Seoul, Republic of Korea.
Introduction: Our aim was to investigate the insufficiently understood differences in the immune system between anti-citrullinated peptide antibody (ACPA)-positive (ACPA) and ACPA-negative (ACPA) early rheumatoid arthritis (eRA) patients.
Methods: We performed multiple cytokine assays using sera from drug-naïve ACPA and ACPA eRA patients. Additionally, we conducted single-cell RNA sequencing of CD45 cells from peripheral blood samples to analyze and compare the distribution and functional characteristics of the cell subsets based on the ACPA status.
Front Immunol
January 2025
Research Laboratory Center, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Background: The rising incidence of breast cancer and its heterogeneity necessitate precise tools for predicting patient prognosis and tailoring personalized treatments. Epigenetic changes play a critical role in breast cancer progression and therapy responses, providing a foundation for prognostic model development.
Methods: We developed the Machine Learning-derived Epigenetic Model (MLEM) to identify prognostic epigenetic gene patterns in breast cancer.
Indian J Occup Environ Med
December 2024
Department of Industrial Hygiene and Toxicology, ICMR-Regional Occupational Health Centre (S), NIOH, ICMR Complex, Bengaluru, Karnataka, India.
Background: Beedi rolling is a labor-intensive occupation that can cause a variety of health problems due to prolonged exposure to tobacco dust. This cross-sectional study aimed to assess morbidity, hematological profile, and DNA damage among beedi rollers in Karnataka.
Methods: A total of 153 participants, including 85 beedi and 65 non-beedi rollers, were enrolled in the study.
Infect Prev Pract
March 2025
Department of Medicine, University of Cambridge, Box 157 Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK.
Antibiograms have been used during outbreak investigations for decades as a surrogate for genetic relatedness of Methicillin-resistant (MRSA). In this study, we evaluate the accuracy of antibiograms in detecting transmission, using genomic epidemiology as the reference standard. We analysed epidemiological and genomic data from 1,465 patients and 1,465 MRSA isolates collected at a single clinical microbiology laboratory in the United Kingdom over a one-year period.
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