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A fluorogenic probe for predicting treatment response in non-small cell lung cancer with EGFR-activating mutations

Therapeutic responses of non-small cell lung cancer (NSCLC) to epidermal growth factor receptor (EGFR) - tyrosine kinase inhibitors (TKIs) are known to be associated with EGFR mutations. However, a proportion of NSCLCs carrying EGFR mutations still progress on EGFR-TKI underlining the imperfect corr...

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Published in:Nature communications 2022-11, Vol.13 (1), p.6944-19, Article 6944
Main Authors: Deng, Hui, Lei, Qian, Wang, Chengdi, Wang, Zhoufeng, Chen, Hai, Wang, Gang, Yang, Na, Huang, Dan, Yu, Quanwei, Yao, Mengling, Xiao, Xue, Zhu, Guonian, Cheng, Cheng, Li, Yangqian, Li, Feng, Tian, Panwen, Li, Weimin
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Language:English
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Summary:Therapeutic responses of non-small cell lung cancer (NSCLC) to epidermal growth factor receptor (EGFR) - tyrosine kinase inhibitors (TKIs) are known to be associated with EGFR mutations. However, a proportion of NSCLCs carrying EGFR mutations still progress on EGFR-TKI underlining the imperfect correlation. Structure-function-based approaches have recently been reported to perform better in retrospectively predicting patient outcomes following EGFR-TKI treatment than exon-based method. Here, we develop a multicolor fluorescence-activated cell sorting (FACS) with an EGFR-TKI-based fluorogenic probe (HX103) to profile active-EGFR in tumors. HX103-based FACS shows an overall agreement with gene mutations of 82.6%, sensitivity of 81.8% and specificity of 83.3% for discriminating EGFR -activating mutations from wild-type in surgical specimens from NSCLC patients. We then translate HX103 to the clinical studies for prediction of EGFR-TKI sensitivity. When integrating computed tomography imaging with HX103-based FACS, we find a high correlation between EGFR-TKI therapy response and probe labeling. These studies demonstrate HX103-based FACS provides a high predictive performance for response to EGFR-TKI, suggesting the potential utility of an EGFR-TKI-based probe in precision medicine trials to stratify NSCLC patients for EGFR-TKI treatment. The presence of activating epidermal growth factor receptor (EGFR) mutations in patients with lung cancer correlates to improved response to EGFR-tyrosine kinase inhibitors. Here, the authors present a fluorescence-activated cell sorting assay to identify EGFR mutations with functional activity in patients and demonstrate its utility in predicting response to EGFR-TKI.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-34627-5