Elucidating the Predictive Capacity of Gene Expression in Lung Carcinogenesis

Abstract

Lung cancer remains the leading cause of cancer-related mortality globally, with the highest incidence rates reported worldwide. This pervasive disease is significantly influenced by factors such as smoking, air pollution, and occupational exposure, with varying incidence rates across different regions and demographics. Advances in genomic technology have ushered in a new era of high-throughput gene analysis, enhancing our understanding of lung cancer's molecular underpinnings. This study focuses on the gene expression profiles of 551 patients, employing techniques such as volcano plots and binary regression analysis to identify key genetic markers associated with lung cancer. Our findings highlight five critical genes: CLDN18, GKN2, LYVE-1, GPIHBP1, and CLIC5, which not only play significant roles in the early detection of lung cancer but also hold potential as targets for future therapeutic interventions. By leveraging gene expression for early screening, this research contributes to improving lung cancer prognosis and paves the way for developing targeted treatment strategies, thereby underscoring the importance of integrating molecular genetics into clinical practice for personalized medicine approaches in lung cancer management.