Although ALK tyrosine kinase inhibitors (ALK-TKIs) have shown remarkable benefits in EML4-ALK positive NSCLC patients compared to conventional chemotherapy, the optimal sequence of ALK-TKIs treatment remains unclear due to the emergence of primary and acquired resistance and the lack of potential prognostic biomarkers. In this study, we systematically explored the validity of sequential ALK inhibitors (alectinib, lorlatinib, crizotinib, ceritinib and brigatinib) for a heavy-treated patient with EML4-ALK fusion via developing an in vitro and in vivo drug testing system based on patient-derived models. Based on the patient-derived models and clinical responses of the patient, we found that crizotinib might inhibit proliferation of EML4-ALK positive tumors resistant to alectinib and lorlatinib. In addition, NSCLC patients harboring the G1269A mutation, which was identified in alectinib, lorlatinib and crizotinib-resistant NSCLC, showed responsiveness to brigatinib and ceritinib. Transcriptomic analysis revealed that brigatinib suppressed the activation of multiple inflammatory signaling pathways, potentially contributing to its anti-tumor activity. Moreover, we constructed a prognostic model based on the expression of IL6, CXCL1, and CXCL5, providing novel perspectives for predicting prognosis in EML4-ALK positive NSCLC patients. In summary, our results delineate clinical responses of sequential ALK-TKIs treatments and provide insights into the mechanisms underlying the superior effects of brigatinib in patients harboring ALK(G1269A) mutation and resistant towards alectinib, lorlatinib and crizotinib. The molecular signatures model based on the combination of IL6, CXCL1 and CXCL5 has the potential to predict prognosis of EML4-ALK positive NSCLC patients.
Inflammation-related molecular signatures involved in the anticancer activities of brigatinib as well as the prognosis of EML4-ALK lung adenocarcinoma patient.
炎症相关分子特征参与布加替尼的抗癌活性以及 EML4-ALK 肺腺癌患者的预后
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作者:Ge Fu-Jing, Dai Xiao-Yang, Qiu Yao, Liu Xiang-Ning, Zeng Chen-Ming, Xu Xiao-Yuan, Chen Yi-Dan, Zhu Hong, He Qiao-Jun, Gai Ren-Hua, Ma Sheng-Lin, Chen Xue-Qin, Yang Bo
| 期刊: | Acta Pharmacologica Sinica | 影响因子: | 8.400 |
| 时间: | 2024 | 起止号: | 2024 Jun;45(6):1252-1263 |
| doi: | 10.1038/s41401-024-01230-x | 研究方向: | 肿瘤 |
| 疾病类型: | 肺癌 | ||
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