This study aims to explore novel bioinformatics techniques for early identification and discrimination of precancerous and cancerous lung tissues. By applying the Polarimetric Exploratory Data Analysis (pEDA), researchers can gain insights into the molecular mechanisms underlying lung cancer development and progression. The goal is to develop a predictive model that can accurately identify high-risk patients and guide personalized treatment strategies.