Objectives: In non-small cell lung cancer (NSCLC), the immune system and possibly its composition affect survival. In this study, the immune infiltrate composition in NSCLC patients was evaluated.
Methods: Gene expression data of tumors from early NSCLC patients were obtained from Gene Expression Omnibus (GEO).
Background: EGFR-tyrosine kinase inhibitors (EGFR-TKIs) including afatinib, dacomitinib, erlotinib, gefitinib, and osimertinib have proven efficacy in terms of progression-free survival (PFS) in patients with non-small-cell lung cancer (NSCLC) harboring EGFR mutations. However, an overall view for comparing efficacy and toxicity on a meta-level is lacking. This study compared efficacy and toxicity of first-line treatment with five different EGFR-TKIs by conducting a network meta-analysis (NMA).
View Article and Find Full Text PDFMyeloid-derived suppressor cells (MDSCs) play an important role in immune suppression and accumulate under pathologic conditions such as cancer and chronic inflammation. They comprise a heterogeneous population of immature myeloid cells that exert their immunosuppressive function via a variety of mechanisms. Immunoglobulin-like transcript 3 (ILT3) is a receptor containing immunoreceptor tyrosine-based inhibition motifs (ITIMs) that can be expressed on antigen-presenting cells and is an important regulator of dendritic cell tolerance.
View Article and Find Full Text PDFBackground: Deformable image registration allows volume of interest (VOI)- and voxel-based analysis of longitudinal changes in fluorodeoxyglucose (FDG) tumor uptake in patients with non-small cell lung cancer (NSCLC). This study evaluates the performance of the elastix toolbox deformable image registration algorithm for VOI and voxel-wise assessment of longitudinal variations in FDG tumor uptake in NSCLC patients.
Methods: Evaluation of the elastix toolbox was performed using (18)F-FDG PET/CT at baseline and after 2 cycles of therapy (follow-up) data in advanced NSCLC patients.
Purpose: Our aim in this study was to compare prognostic models based on laboratory tests with a model including imaging information in small-cell lung cancer.
Patients And Methods: A retrospective analysis was performed on 156 consecutive patients. Three existing models based on laboratory tests and performance status (PS) and a model based on disease stage assessed by imaging techniques and PS were tested with Cox regression analysis.