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Although most patients with pulmonary carcinoid (PC) can be cured by surgery, relapse may occur until 15 years after resection in up to 10% of patients. This is unpredictable at the outset, necessitating extensive follow-up (FU). We sought to determine whether an immunohistochemical marker panel (OTP, CD44, and Ki-67) could better indicate relapse-free survival (RFS) and increase uniformity among pathologists regarding carcinoid classification. To this purpose, all surgically resected PC (2003-2012) were identified in the Dutch cancer/pathology registry, and a matched relapse vs nonrelapse cohort (ratio 1:2, N = 161) was created. Cases were revised by 4 pathologists and additionally for immunohistochemistry (IHC) markers. The marker panel was applied to the complete population-based cohort (N = 536) to investigate the negative predictive value (NPV) of relapse. Median FU was 86.7 months. WHO classification among pathologists revealed poor overall agreement (mitotic count: 0.380, necrosis: 0.476) compared with IHC markers (Ki-67: 0.917, OTP: 0.984, CD44: 0.976). The mean NPV of all pathologists increased from 0.74 (World Health Organization, WHO) to 0.85 (IHC marker panel). IHC risk stratification of the complete cohort, regardless of subtype, showed a statistically significant difference in RFS between patients with high risk (n = 222) and low risk (n = 314), with an NPV of 95.9%. In conclusion, our results support the use of biomarker-driven FU management for patients with PC as the OTP/CD44/KI-67 marker panel can reliably predict which patients will probably not develop relapse over time and may benefit from a more limited postoperative follow-up. Furthermore, IHC marker assessment by pathologists for PC stratification is superior to traditional WHO typing.
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http://dx.doi.org/10.1016/j.modpat.2024.100677 | DOI Listing |
Neuroendocrinology
September 2025
Introduction Neuroendocrine tumors (NETs) are a rare and heterogeneous group of neoplasms with both clinical and genetic diversity. The clinical applicability of molecular profiling using liquid biopsy for identifying actionable drug targets and prognostic indicators in patients with advanced NETs remains unclear. Methods In this study, we utilized a custom-made 37 genes panel of circulating tumor DNA (ctDNA) based on next-generation sequencing (NGS) in 47 patients with advanced NETs.
View Article and Find Full Text PDFDiabetologia
September 2025
Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Aims/hypothesis: Alpha cell dysregulation is an integral part of type 2 diabetes pathophysiology, increasing fasting as well as postprandial glucose concentrations. Alpha cell dysregulation occurs in tandem with the development of insulin resistance and changes in beta cell function. Our aim was to investigate, using mathematical modelling, the role of alpha cell dysregulation in beta cell compensatory insulin secretion and subsequent failure in the progression from normoglycaemia to type 2 diabetes defined by ADA criteria.
View Article and Find Full Text PDFCancer Biol Med
September 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Objective: The key molecular events signifying the -induced gastric carcinogenesis process are largely unknown.
Methods: Bulk tissue-proteomics profiling were leveraged across multi-stage gastric lesions from Linqu ( = 166) and Beijing sets ( = 99) and single-cell transcriptomic profiling ( = 18) to decipher key molecular signatures of -related gastric lesion progression and gastric cancer (GC) development. The association of key proteins association with gastric lesion progression and GC development were prospectively studied building on follow-up of the Linqu set and UK Biobank ( = 48,529).
BMC Res Notes
September 2025
Center for Molecular Medicine Cologne, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.
Objectives: Small cell lung cancer (SCLC) accounts for approximately 15% of lung tumors and is marked by aggressive growth and early metastatic spread. In this study, we used two SCLC mouse models with differing tumor mutation burdens (TMB). To investigate tumor composition, spatial architecture, and interactions with the surrounding microenvironment, we acquired multiplexed images of mouse lung tumors using imaging mass cytometry (IMC).
View Article and Find Full Text PDFPlant Dis
September 2025
South Dakota State University, 2380 Research Parkway, 113B Seed Tech, Brookings, Brookings, South Dakota, United States, 57007;
Bacterial leaf streak (BLS), caused by pv. (), has recently emerged as a significant threat to wheat production in the Northern Great Plains region of the US. Deploying resistant cultivars is an economical and practical method of controlling BLS.
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