Mouse models of human non-small-cell lung cancer: Raising the bar
被引:43
作者:
Kim, C. F. B.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Kim, C. F. B.
[1
]
Jackson, E. L.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Jackson, E. L.
[1
]
Kirsch, D. G.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Kirsch, D. G.
[1
]
Grimm, J.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Grimm, J.
[1
]
Shaw, A. T.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Shaw, A. T.
[1
]
Lane, K.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Lane, K.
[1
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Kissil, J.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Kissil, J.
[1
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Olive, K. P.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Olive, K. P.
[1
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Sweet-Cordero, A.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Sweet-Cordero, A.
[1
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Weissleder, R.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Weissleder, R.
[1
]
Jacks, T.
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MIT, Ctr Canc Res, Cambridge, MA 02139 USAMIT, Ctr Canc Res, Cambridge, MA 02139 USA
Jacks, T.
[1
]
机构:
[1] MIT, Ctr Canc Res, Cambridge, MA 02139 USA
来源:
Molecular Approaches to Controlling Cancer
|
2005年
/
70卷
关键词:
D O I:
10.1101/sqb.2005.70.037
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
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.