Akademik Veri Yönetim Sistemi
32. International Cell Death Society Meeting, Paris, Fransa, 27 - 29 Mayıs 2026, ss.57, (Özet Bildiri)
NETosis-associated gene expression patterns in colorectal cancerNeutrophil extracellular traps (NETs) and the process of NETosis have recently been recognized as important components of the tumor microenvironment, with the potential to influence cancer progression through inflammatory and immunoregulatory mechanisms. An increasing number of studies suggest that neutrophil-mediated pathways may contribute to colorectal cancer biology; however, the molecular patterns associated with NETosis in this context have not yet been fully elucidated.
In this study, the expression profiles of selected NETosis-related genes were investigated in colorectal cancer to explore their potential contributions to tumor-associated immune response mechanisms.
Gene expression levels were evaluated using quantitative real-time polymerase chain reaction (qPCR) in 77 colorectal cancer patients and 63 healthy controls. The expression levels of ILK, ELANE, CYBA, MAPK14, and CEACAM6 genes associated with neutrophil activation and NET formation were analyzed. The obtained data were subsequently assessed using statistical approaches and machine learning-based methods, including random forest analysis.
The results revealed statistically significant differences in the expression levels of ELANE and CYBA genes between colorectal cancer patients and the control group. These findings suggest that these genes may play a role in NET-associated inflammatory response mechanisms within the tumor microenvironment. Notably, ILK, which emerged as a prominent feature in machine learning models with a high discriminative capacity between patient and control groups, also exhibited remarkable differences in expression levels. In contrast, no statistically significant changes were observed in the expression levels of MAPK14 and CEACAM6.
Overall, these findings indicate that certain NETosis-related genes may contribute to the inflammatory and immune microenvironment of colorectal cancer. The observed expression differences provide potential insights into neutrophil-mediated molecular mechanisms and may serve as a basis for further investigation of NETosis-associated molecular models in colorectal cancer.
Key words: Colorectal cancer, NETosis, neutrophil extracellular traps, gene expression, tumor microenvironment, machine learning.