98%
921
2 minutes
20
Purpose: Lung cancer is frequently observed as a second primary malignancy following gastric cancer, yet the genetic causality between them remains uncertain. This study aims to evaluate the causal relationship between gastric and lung cancers using Mendelian randomization (MR) analysis.
Materials And Methods: Single nucleotide polymorphisms associated with gastric and lung cancers were selected from Genome-Wide Association Study in East Asian and European populations as instrumental variables. The causal effects between gastric and lung cancers were evaluated using univariable and multivariable MR analysis, with the inverse variance weighted (IVW) method serving as the primary criterion. Heterogeneity and sensitivity analyses were performed to ensure the robustness of the findings.
Results: Univariable MR analysis demonstrated that genetic susceptibility to gastric cancer in the European population was significantly associated with an increased risk of lung cancer (IVW: OR:1.285, 95%CI:1.072-1.541, p=6.83E-03), which was consistently validated in the East Asian population (IVW:OR:1.356, 95% CI:1.114-1.651, p=2.40E-03). Multivariable MR analysis further indicated that the significant positive causal relationship between gastric cancer and lung cancer persisted in both populations after adjusting for confounding factors (all p<0.05). Conversely, no significant causal relationship was observed for the risk of developing gastric cancer following the diagnosis of lung cancer diagnosis in either population (p>0.05).
Conclusion: This study confirms that genetic susceptibility to gastric cancer increases the risk of lung cancer. This finding provides a theoretical basis for exploring the underlying biological mechanisms and suggests that enhancing lung cancer screening in patients with gastric cancer may be necessary to improve patient prognosis.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4143/crt.2024.875 | DOI Listing |
Biochem Soc Trans
September 2025
Department of Biochemistry, McGill University, Montréal, QC, Canada.
The MET receptor tyrosine kinase is a pivotal regulator of cellular survival, motility, and proliferation. Mutations leading to skipping of exon 14 (METΔex14) within the juxtamembrane domain of MET impair receptor degradation and prolong oncogenic signaling, contributing significantly to tumor progression across multiple cancer types. METΔex14 mutations are associated with aggressive clinical behavior, therapeutic resistance, and poor outcomes.
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China.
MicroRNAs (miRNAs) are critical regulators of gene expression in cancer biology, yet their spatial dynamics within tumor microenvironments (TMEs) remain underexplored due to technical limitations in current spatial transcriptomics (ST) technologies. To address this gap, we present STmiR, a novel XGBoost-based framework for spatially resolved miRNA activity prediction. STmiR integrates bulk RNA-seq data (TCGA and CCLE) with spatial transcriptomics profiles to model nonlinear miRNA-mRNA interactions, achieving high predictive accuracy (Spearman's ρ > 0.
View Article and Find Full Text PDFPLoS One
September 2025
Biobank of Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.
Heart failure (HF) and lung cancer (LC) often coexist, yet their shared molecular mechanisms are unclear. We analyzed transcriptome data from the NCBI Gene Expression Omnibus (GEO) database (GSE141910, GSE57338) to identify 346 HF‑related differentially expressed genes (DEGs), then combined weighted gene co-expression network analysis (WGCNA) pinpointed 70 hub candidates. Further screening of these 70 hub candidates in TCGA lung cancer cohorts via LASSO, Random Forest, and multivariate Cox regression suggested CYP4B1 as the only independent prognostic marker.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Volumetric modulated arc therapy (VMAT) for lung cancer involves complex multileaf collimator (MLC) motion, which increases sensitivity to interplay effects with tumour motion. Current dynamic conformal arc methods address this issue but may limit the achievable dose distribution optimisation compared with standard VMAT. This study examined the clinical utility of a VMAT technique with monitor unit limits (VMATliMU) to mimic conformal arc delivery and reduce interplay effects while maintaining plan quality.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Importance: Patients with advanced cancer frequently receive broad-spectrum antibiotics, but changing use patterns across the end-of-life trajectory remain poorly understood.
Objective: To describe the patterns of broad-spectrum antibiotic use across defined end-of-life intervals in patients with advanced cancer.
Design, Setting, And Participants: This nationwide, population-based, retrospective cohort study used data from the South Korean National Health Insurance Service database to examine broad-spectrum antibiotic use among patients with advanced cancer who died between July 1, 2002, and December 31, 2021.