Computational Identification of Candidate Genes Involved in the Inflammation Pathway of AGE-RAGE Signaling in Lung Cancer Invasiveness

Due to its high mortality rate, cancer has been at the forefront of biomedical research. Specifically, lung cancer has been an ongoing public health problem as it accounts for the highest number of cancer deaths worldwide. Phenotypic expressions such as the invasiveness of lung cancer can vary among individuals. Studies have shown a strong correlation between lung cancer invasiveness and inflammation pathways, making inflammation an ideal biomarker for lung cancer diagnostics and a target for therapeutics. The AGE-RAGE signaling pathway, which causes inflammation by genes with differential expression, is one such pathway for inflammation. Typical causing factors include but are not limited to reactive oxygen species, miRNA targets, mutational signatures, and other pathological functions. Even though the AGE-RAGE inflammation pathway is influential in cancer, it has not yet been developed in therapeutics for cancer invasiveness and should be further studied. In this study, we evaluated the complexities of the AGE-RAGE pathway expression in cancer. Through a detailed investigation using online genomics databases, bioinformatics data analysis, and literature review, the role of inflammation is systematically explored. We also examined the implications of the upregulation of AGE-RAGE on other pathological functions and diseases.