Background: The occurrence of immune-related adverse events (irAEs) seemed to be associated with better outcomes in advanced gastric cancer (AGC) patients. However, research focusing on the impact of the single-organ irAE (uni-irAE) or multi-organ irAEs (multi-irAEs) on the AGC outcome is relatively limited. In this study, we investigated individually the impact of the different irAEs on AGC survival as well as the co-occurrence patterns of multi-irAEs.
Methods: The uni-irAE, multi-irAEs, and non-irAE were identified based on National Comprehensive Cancer Network (NCCN) guidelines. ICI efficacy for the disease control rate (DCR) and the objective response rate (ORR) was assessed based on the Response Evaluation Criteria in Solid Tumors (RECIST) Version 1.1. The association for the irAEs with progression-free survival (PFS) or overall survival (OS) was analyzed using the Kaplan-Meier method and Cox regression model. We also performed pairwise correlation analysis to identify co-occurrence patterns of multi-organ irAEs.
Results: A total of 288 patients including 175 non-irAE, 73 uni-irAE, and 40 multi-irAE patients were evaluated for their association with AGC outcome. The irAEs patients displayed higher DCR (78.8% vs. 67.4%, =0.037) when compared with those of non-irAE patients, and both uni-irAE patients (82.2% vs. 67.4%, =0.019) and multi-irAE patients (72.5% vs. 67.4%, =0.534) showed higher DCR than that of non-irAE patients. The multivariate analyses revealed that multi-irAEs was an independent risk factor for PFS (hazard ratio [HR] of 0.63, 95% confidence interval [CI] 0.41~0.96, =0.031) and OS (HR 0.47, 95% CI 0.29~0.76, =0.002), whereas the survival association for uni-irAE was not obtained. The analysis of the co-occurrence patterns for multi-irAEs revealed that the thyroid, adrenal gland, heart, skin, and lung irAEs exhibited a high risk of co-occurrence of multi-irAEs. The multivariate Cox regression analysis for organ-specific irAEs revealed that patients experiencing thyroid, adrenal gland, and skin irAEs had favorable survival outcomes compared with those without these irAEs.
Conclusion: Multi-irAEs and some organ-specific irAEs can be used as predictive indicators for ICI treatment efficacy in AGC patients. The thyroid, adrenal gland, heart, skin, and lung irAEs are often accompanied by multi-irAE occurrence.
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http://dx.doi.org/10.3389/fimmu.2024.1503316 | DOI Listing |
Comput Biol Med
January 2025
University of Rwanda, Rwanda. Electronic address:
Deep learning methods have significantly improved medical image analysis, particularly in detecting COVID-19 chest X-rays. Nonetheless, these methodologies frequently inhibit some drawbacks, such as limited interpretability, extensive computational resources, and the need for extensive datasets. To tackle these issues, we introduced two novel algorithms: the Dynamic Co-Occurrence Grey Level Matrix (DC-GLM) and the Contextual Adaptation Multiscale Gabor Network (CAMSGNeT).
View Article and Find Full Text PDFFront Public Health
January 2025
Faculty of Nursing, Department of Medical Nursing, Aydin Adnan Menderes University, Aydin, Türkiye.
Background: Non-communicable diseases (NCDs) are a major global concern. This study aimed to examine the prevalence and co-occurrence of lifestyle risk factors among university students.
Methods: This analytical, cross-sectional study was conducted between January and April 2022.
BMC Cancer
January 2025
Department of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Primary pulmonary Mucosa-associated lymphoid tissue (MALT) lymphoma is a sporadic disease with a favorable prognosis. Particularly, pulmonary MALT lymphoma coexisting with lung cancer is not only rare but also prone to misdiagnosis. The clinical characteristics and prognostic factors of this co-occurrence, however, remain poorly understood.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Biosystematics Group, Wageningen University and Research, Droevendaalsesteeg 1, Wageningen, 6708 PB, The Netherlands.
Background: HOPZ-ACTIVATED RESISTANCE 1 (ZAR1) is a nucleotide-binding leucine-rich repeat (NLR) protein functioning as a recognition hub to initiate effector-triggered immunity against bacterial pathogens. To initiate defense, ZAR1 associates with different HOPZ-ETI-DEFICIENT 1 (ZED1)-Related Kinases (ZRKs) to form resistosomes to indirectly perceive effector-induced perturbations. Few studies have focused on the phylogenomic characteristics of ZAR1 and ZRK immune gene families and their evolutionary relationships.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Environmental Genomics, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address:
Background: The co-occurrence of smoking behaviors and major depressive disorder (MDD) has been widely documented in populations. However, the underlying mechanism of this association remains unclear.
Methods: Genome-wide association studies of smoking behaviors and MDD, combined with multi-omics datasets, were usedto characterise genetic correlations, identify shared loci and genes, and explore underlying biological mechanisms.
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