Cellular Origins of EGFR-Driven Lung Cancer Cells Determine Sensitivity to Therapy

被引:19
作者
Chen, Fan [1 ]
Liu, Jinpeng [2 ]
Flight, Robert M. [3 ,4 ]
Naughton, Kassandra J. [1 ]
Lukyanchuk, Alexsandr [1 ]
Edgin, Abigail R. [1 ]
Song, Xiulong [1 ]
Zhang, Haikuo [5 ]
Wong, Kwok-Kin [6 ]
Moseley, Hunter N. B. [1 ,3 ,4 ]
Wang, Chi [2 ,4 ]
Brainson, Christine F. [1 ,4 ]
机构
[1] Univ Kentucky, Dept Toxicol & Canc Biol, Lexington, KY 40536 USA
[2] Univ Kentucky, Dept Internal Med, Lexington, KY 40536 USA
[3] Univ Kentucky, Dept Mol & Cellular Biochem, Lexington, KY 40536 USA
[4] Univ Kentucky, Markey Canc Ctr, Lexington, KY 40536 USA
[5] DNAtrix, 10355 Sci Ctr Dr,Suite 110, San Diego, CA 92121 USA
[6] NYU, Laura & Isaac Perlmutter Canc Ctr, NYU Langone Med Ctr, New York, NY 10016 USA
关键词
alveolar; bronchiolar; EGFR; lung cancer; organoids; BRONCHIOALVEOLAR STEM-CELLS; TYROSINE KINASE INHIBITORS; CONFERS RESISTANCE; CLINICAL-RESPONSE; BREAST-CANCER; GEFITINIB; INACTIVATION; MODEL;
D O I
10.1002/advs.202101999
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Targeting the epidermal growth factor receptor (EGFR) with tyrosine kinase inhibitors (TKIs) is one of the major precision medicine treatment options for lung adenocarcinoma. Due to common development of drug resistance to first- and second-generation TKIs, third-generation inhibitors, including osimertinib and rociletinib, are developed. A model of EGFR-driven lung cancer and a method to develop tumors of distinct epigenetic states through 3D organotypic cultures are described here. It is discovered that activation of the EGFR T790M/L858R mutation in lung epithelial cells can drive lung cancers with alveolar or bronchiolar features, which can originate from alveolar type 2 (AT2) cells or bronchioalveolar stem cells, but not basal cells or club cells of the trachea. It is also demonstrated that these clones are able to retain their epigenetic differences through passaging orthotopically in mice and crucially that they have distinct drug vulnerabilities. This work serves as a blueprint for exploring how epigenetics can be used to stratify patients for precision medicine decisions.
引用
收藏
页数:11
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