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SYK-mediated epithelial cell state is associated with response to c-Met inhibitors in c-Met-overexpressing lung cancer

Authors :
Ji Zhou
Xu-Chao Zhang
Shan Xue
Mengdi Dai
Yueliang Wang
Xia Peng
Jianjiao Chen
Xinyi Wang
Yanyan Shen
Hui Qin
Bi Chen
Yu Zheng
Xiwen Gao
Zuoquan Xie
Jian Ding
Handong Jiang
Yi-Long Wu
Meiyu Geng
Jing Ai
Source :
Signal Transduction and Targeted Therapy. 8
Publication Year :
2023
Publisher :
Springer Science and Business Media LLC, 2023.

Abstract

Genomic MET amplification and exon 14 skipping are currently clinically recognized biomarkers for stratifying subsets of non-small cell lung cancer (NSCLC) patients according to the predicted response to c-Met inhibitors (c-Metis), yet the overall clinical benefit of this strategy is quite limited. Notably, c-Met protein overexpression, which occurs in approximately 20–25% of NSCLC patients, has not yet been clearly defined as a clinically useful biomarker. An optimized strategy for accurately classifying patients with c-Met overexpression for decision-making regarding c-Meti treatment is lacking. Herein, we found that SYK regulates the plasticity of cells in an epithelial state and is associated with their sensitivity to c-Metis both in vitro and in vivo in PDX models with c-Met overexpression regardless of MET gene status. Furthermore, TGF-β1 treatment resulted in SYK transcriptional downregulation, increased Sp1-mediated transcription of FRA1, and restored the mesenchymal state, which conferred resistance to c-Metis. Clinically, a subpopulation of NSCLC patients with c-Met overexpression coupled with SYK overexpression exhibited a high response rate of 73.3% and longer progression-free survival with c-Meti treatment than other patients. SYK negativity coupled with TGF-β1 positivity conferred de novo and acquired resistance. In summary, SYK regulates cell plasticity toward a therapy-sensitive epithelial cell state. Furthermore, our findings showed that SYK overexpression can aid in precisely stratifying NSCLC patients with c-Met overexpression regardless of MET alterations and expand the population predicted to benefit from c-Met-targeted therapy.

Subjects

Subjects :
Cancer Research
Genetics

Details

ISSN :
20593635
Volume :
8
Database :
OpenAIRE
Journal :
Signal Transduction and Targeted Therapy
Accession number :
edsair.doi...........1520015d1b9fd01863953d84e7087cbc
Full Text :
https://doi.org/10.1038/s41392-023-01403-w