医学
组学
代谢组
疾病
蛋白质组学
基因组学
代谢组学
转录组
计算生物学
肺癌
精密医学
蛋白质组
生物信息学
癌症
基因组
生物
病理
基因
遗传学
内科学
基因表达
作者
Cristian Micheletti,K Dhuli,K Donato,M Gadler,Sabrina Benedetti,Giulia Guerri,Francesca Cristofoli,Daniele Generali,Carmine Antonio Donofrio,Márcia Regina Cominetti,Antonio Fioravanti,L Riccio,Andrea Bernini,Ezio Fulcheri,Liborio Stuppia,Liborio Stuppia,Valentina Gatta,Simone Cristoni,S Cecchin,Giuseppe Marceddu,Matteo Bertelli
出处
期刊:PubMed
日期:2023-11-23
卷期号:174 (Suppl 2(6)): 37-45
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI