黑料网

Abstract

Understanding the molecular landscape of cancer is essential for advancing diagnostic and therapeutic strategies. Genomic and proteomic approaches have emerged as powerful tools for unraveling the complex biological mechanisms underlying cancer development and progression. This review examines the significance of genomic and proteomic techniques in elucidating the molecular landscape of cancer and their implications for precision diagnosis. Genomic analyses, including next-generation sequencing and whole-genome/exome sequencing, provide insights into genetic mutations, oncogenes, and tumor suppressor genes, facilitating the classification of tumors into distinct molecular subtypes. Proteomic profiling, enabled by mass spectrometry-based technologies, offers insights into protein expression, post-translational modifications, and signaling pathways dysregulated in cancer. Integration of genomic and proteomic data enhances our understanding of the interplay between genetic alterations and protein dysregulation in tumorigenesis. Computational methods, such as machine learning and network analysis, aid in deciphering complex omics data and identifying biomarkers for early detection and personalized treatment. Ultimately, genomic and proteomic approaches hold promise for improving cancer diagnosis and patient outcomes by guiding targeted therapies based on the molecular characteristics of individual tumors