학술논문
Co-activation of STAT3 and YES-Associated Protein 1 (YAP1) Pathway in EGFR-Mutant NSCLC
Document Type
Academic Journal
Author
Chaib, Imane; Karachaliou, Niki; Pilotto, Sara; Codony Servat, Jordi; Cai, Xueting; Li, Xuefei; Drozdowskyj, Ana; Servat, Carles Codony; Yang, Jie; Hu, Chunping; Cardona, Andres Felipe; Vivanco, Guillermo Lopez; Vergnenegre, Alain; Sanchez, Jose Miguel; Provencio, Mariano; de Marinis, Filippo; Passaro, Antonio; Carcereny, Enric; Reguart, Noemi; Campelo, Charo Garcia; Teixido, Cristina; Sperduti, Isabella; Rodriguez, Sonia; Lazzari, Chiara; Verlicchi, Alberto; de Aguirre, Itziar; Queralt, Cristina; Wei, Jia; Estrada, Roger; de la Bellacasa, Raimon Puig; Ramirez, Jose Luis; Jacobsen, Kirstine; Ditzel, Henrik J.; Santarpia, Mariacarmela; Viteri, Santiago; Molina, Miguel Angel; Zhou, Caicun; Cao, Peng; Ma, Patrick C.; Bivona, Trever G.; Rosell, Rafael
Source
JNCI: Journal of the National Cancer Institute. Sep 01, 2017 109(9)
Subject
Language
English
ISSN
0027-8874
Abstract
Background: The efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in EGFR-mutant non–small cell lung cancer (NSCLC) is limited by adaptive activation of cell survival signals. We hypothesized that both signal transducer and activator of transcription 3 (STAT3) and Src-YES-associated protein 1 (YAP1) signaling are dually activated during EGFR TKI treatment to limit therapeutic response.Methods: We used MTT and clonogenic assays, immunoblotting, and quantitative polymerase chain reaction to evaluate the efficacy of EGFR TKI alone and in combination with STAT3 and Src inhibition in three EGFR-mutant NSCLC cell lines. The Chou-Talalay method was used for the quantitative determination of drug interaction. We examined tumor growth inhibition in one EGFR-mutant NSCLC xenograft model (n = 4 mice per group). STAT3 and YAP1 expression was evaluated in tumors from 119 EGFR-mutant NSCLC patients (64 in an initial cohort and 55 in a validation cohort) by quantitative polymerase chain reaction. Kaplan-Meier and Cox regression analyses were used to assess the correlation between survival and gene expression. All statistical tests were two-sided.Results: We discovered that lung cancer cells survive initial EGFR inhibitor treatment through activation of not only STAT3 but also Src-YAP1 signaling. Cotargeting EGFR, STAT3, and Src was synergistic in two EGFR-mutant NSCLC cell lines with a combination index of 0.59 (95% confidence interval [CI] = 0.54 to 0.63) for the PC-9 and 0.59 (95% CI = 0.54 to 0.63) for the H1975 cell line. High expression of STAT3 or YAP1 predicted worse progression-free survival (hazard ratio [HR] = 3.02, 95% CI = 1.54 to 5.93, P = .001, and HR = 2.57, 95% CI = 1.30 to 5.09, P = .007, respectively) in an initial cohort of 64 EGFR-mutant NSCLC patients treated with firstline EGFR TKIs. Similar results were observed in a validation cohort.Conclusions: Our study uncovers a coordinated signaling network centered on both STAT3 and Src-YAP signaling that limits targeted therapy response in lung cancer and identifies an unforeseen rational upfront polytherapy strategy to minimize residual disease and enhance clinical outcomes.