Pathway analysis is crucial for revealing the molecular mechanisms of cancer, as it emphasizes the important proteins that participate in various biological pathways. This study introduces a comprehensive framework leveraging protein-protein interaction (PPI) networks and cancer gene datasets to uncover essential proteins in cancer progression. The methodology encompasses preprocessing cancer gene data, applying centrality measures to identify critical proteins, and conducting pathway enrichment analysis to explore dysregulated pathways. The research identifies 44 essential cancer proteins associated with breast, lung, colorectal, and ovarian cancers, which are distributed across ten vital pathways related to cell cycle control, growth, and differentiation. Notable proteins such as TP53, BRCA1, RPS27A, PCNA, CDK1, and CTNNB1 are highlighted for their significant contributions to cancer initiation and progression. This approach enhances our understanding of the functional roles of these proteins and their influence on cancer pathways, advancing precision oncology by identifying potential therapeutic targets and personalized treatment strategies. Future efforts will translate these findings into clinical practice for more effective cancer treatment.