A 73 yr old man with a marked eosinophilia, associated with generalized bronchial carcinoma was observed. Ten months earlier his blood count was normal. The mechanism of the eosinophilia is discussed.
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Asian Pac J Cancer Prev
January 2025
Department of Medical Oncology, RGCI&RC, Delhi, India.
Background: Human Lung Carcinoma (LC) is among the most diagnosed cancers across the world among those non-small cell lung cancer (NSCLC) comprises about 85%. Next Generation Sequencing based detection of mutations are now well established in molecular oncology. With the advent of modern diagnostic methods, it is now well known that there are several mutations and gene rearrangements which are associated with the development of LC.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Radiology (J.H.L.) and Department of Thoracic and Cardiovascular Surgery (J.L., Y.J.J., S.Y.P., J.H.C., Y.S.C., J.K., Y.M.S., H.K.K.), Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea; Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul 06355, Korea (D.K., J.L., S.Y.P., S.K., J.C.); Center for Clinical Epidemiology, Sungkyunkwan University, Samsung Medical Center, Seoul, Korea (D.K., J.C.); Patient-Centered Outcomes Research Institute, Samsung Medical Center, Seoul, Korea (J.L., Y.M.S., S.K., H.K.K., J.C.); and Department of Epidemiology and Medicine, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (J.C.).
Background A comprehensive assessment of skeletal muscle health is crucial to understanding the association between improved clinical outcomes and obesity as defined by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) in lung cancer, but limited studies have been conducted on this topic. Purpose To investigate the association between BMI-defined obesity and survival in patients with non-small cell lung cancer who underwent curative resection, with a specific focus on the status of skeletal muscle assessed at CT. Materials and Methods This retrospective study investigated Korean patients with non-small cell lung cancer who underwent curative resection between January 2008 and December 2019.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Medical Oncology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
Objective: The main objective of this study was to explore and identify new genetic targets in small-cell lung cancer (SCLC) through transcriptomics analysis and Mendelian randomization (MR) analysis, which will help in the subsequent development of new therapeutic interventions.
Methods: In this study, we extracted the SCLC dataset from the Gene Expression Omnibus (GEO) database, processed the data, and screened out differentially expressed genes (DEGs) using R software. Based on expression quantitative trait loci data and the genome-wide association study data of SCLC, MR analysis was used to screen the genes closely related to SCLC disease, which intersect with DEGs to obtain co-expressed genes (CEGs), and the biological functions and pathways of CEGs were further explored by enrichment analysis.
Front Immunol
January 2025
First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: Recently there has been an increasing number of studies have explored apoptosis mechanisms in lung cancer (LC). However, no researchers have conducted a bibliometric analysis of the most cited articles in this field.
Objective: To examine the top 100 most influential and cited publications on apoptosis in non-small cell lung cancer (NSCLC) from 2004 to 2023, summarizing research trends and key focus areas.
Cancer Imaging
January 2025
Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Hongkou District, No. 100, Haining Road, Shanghai, 200080, China.
Background: Programmed cell death 1/programmed death ligand-1 (PD-L1)-based immune checkpoint blockade is an effective treatment approach for non-small-cell lung cancer (NSCLC). However, immunohistochemistry does not accurately or dynamically reflect PD-L1 expression owing to its spatiotemporal heterogeneity. Herein, we assessed the feasibility of using a Ga-labeled anti-PD-L1 nanobody, Ga-NODAGA-NM-01, for PET imaging of PD-L1.
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