MAGI'S LAB, Rovereto (TN), Italy.
MAGI EUREGIO, Bolzano, Italy.
Clin Ter. 2023 Nov-Dec;174(Suppl 2(6)):37-45. doi: 10.7417/CT.2023.2470.
Lung cancer is a complex disease, with a wide range of genetic alterations and clinical presentations. Understanding the natural and clinical history of the disease is crucial for developing effective diagnostic and treatment strategies. Omics approaches, such as genomics, transcriptomics, proteomics, and metabolomics, have emerged as powerful tools for understanding the molecular mechanisms underlying lung cancer and for identifying novel biomarkers and therapeutic targets. These approaches enable researchers to examine the entire genome, transcriptome, proteome, or metabolome of a cell or tissue, providing a comprehensive view of the biological processes involved in lung cancer development and progression. Targeted therapies that address specific genetic mutations and pathways hold promise for improving the diagnosis and treatment of this disease.
肺癌是一种复杂的疾病,具有广泛的遗传改变和临床表现。了解疾病的自然和临床病史对于制定有效的诊断和治疗策略至关重要。组学方法,如基因组学、转录组学、蛋白质组学和代谢组学,已成为理解肺癌分子机制和识别新的生物标志物和治疗靶点的有力工具。这些方法使研究人员能够检查细胞或组织的整个基因组、转录组、蛋白质组或代谢组,提供肺癌发展和进展中涉及的生物学过程的全面视图。针对特定基因突变和途径的靶向治疗有望改善这种疾病的诊断和治疗。