Kim C F B, Jackson E L, Kirsch D G, Grimm J, Shaw A T, Lane K, Kissil J, Olive K P, Sweet-Cordero A, Weissleder R, Jacks T
Center for Cancer Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, 02139, USA.
Cold Spring Harb Symp Quant Biol. 2005;70:241-50. doi: 10.1101/sqb.2005.70.037.
Lung cancer is a devastating disease that presents a challenge to basic research to provide new steps toward therapeutic advances. The cell-type-specific responses to oncogenic mutations that initiate and regulate lung cancer remain poorly defined. A better understanding of the relevant signaling pathways and mechanisms that control therapeutic outcome could also provide new insight. Improved conditional mouse models are now available as tools to improve the understanding of the cellular and molecular origins of adenocarcinoma. These models have already proven their utility in proof-of-principle experiments with new technologies including genomics and imaging. Integrated thinking to apply technological advances while using the appropriate mouse model is likely to facilitate discoveries that will significantly improve lung cancer detection and intervention.
肺癌是一种极具毁灭性的疾病,给基础研究带来了挑战,使其难以迈出实现治疗进展的新步伐。对于引发和调控肺癌的致癌突变,细胞类型特异性反应仍不清楚。更好地理解控制治疗结果的相关信号通路和机制,也能提供新的见解。如今,改良的条件性小鼠模型作为工具可用于增进对腺癌细胞和分子起源的理解。这些模型在包括基因组学和成像在内的新技术的原理验证实验中已证明了其效用。在使用合适的小鼠模型的同时,运用技术进步进行综合思考,可能会促进相关发现,从而显著改善肺癌的检测和干预。