Siegel RL, Miller KD, Wagle NS, Jemal A (2023) Cancer statistics, 2023. CA Cancer J Clin 73(1):17–48. https://doi.org/10.3322/caac.21763

Article  PubMed  Google Scholar 

Alexander M, Kim SY, Cheng H (2020) Update 2020: management of non-small cell lung cancer. Lung 198(6):897–907. https://doi.org/10.1007/s00408-020-00407-5

Article  PubMed  PubMed Central  Google Scholar 

Jonna S, Subramaniam DS (2019) Molecular diagnostics and targeted therapies in non-small cell lung cancer (NSCLC): an update. Discov Med 27(148):167–170

PubMed  Google Scholar 

Xu JY, Zhang C, Wang X et al (2020) Integrative proteomic characterization of human lung adenocarcinoma. Cell 182(1):245-261.e17. https://doi.org/10.1016/j.cell.2020.05.043

Article  CAS  PubMed  Google Scholar 

Yang L, He YT, Dong S et al (2022) Single-cell transcriptome analysis revealed a suppressive tumor immune microenvironment in EGFR mutant lung adenocarcinoma. J Immunother Cancer 10(2):e003534. https://doi.org/10.1136/jitc-2021-003534

Article  PubMed  PubMed Central  Google Scholar 

Song H, Liu D, Wang L et al (2022) Methyltransferase like 7B is a potential therapeutic target for reversing EGFR-TKIs resistance in lung adenocarcinoma. Mol Cancer 21(1):43. https://doi.org/10.1186/s12943-022-01519-7

Article  CAS  PubMed  PubMed Central  Google Scholar 

Liang J, Bi G, Sui Q et al (2024) Transcription factor ZNF263 enhances EGFR-targeted therapeutic response and reduces residual disease in lung adenocarcinoma. Cell Rep 43(2):113771. https://doi.org/10.1016/j.celrep.2024.113771

Article  CAS  PubMed  Google Scholar 

Li K, Peng ZY, Wang R et al (2023) Enhancement of TKI sensitivity in lung adenocarcinoma through m6A-dependent translational repression of Wnt signaling by circ-FBXW7. Mol Cancer 22(1):103. https://doi.org/10.1186/s12943-023-01811-0

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang B, Dong S, Wang J et al (2023) NOTCH4ΔL12_16 sensitizes lung adenocarcinomas to EGFR-TKIs through transcriptional down-regulation of HES1. Nat Commun 14(1):3183. https://doi.org/10.1038/s41467-023-38833-7

Article  CAS  PubMed  PubMed Central  Google Scholar 

da Cunha Santos G, Shepherd FA, Tsao MS (2011) EGFR mutations and lung cancer. Annu Rev Pathol 6:49–69. https://doi.org/10.1146/annurev-pathol-011110-130206

Article  CAS  PubMed  Google Scholar 

Liang Z, Cheng Y, Chen Y et al (2017) EGFR T790M ctDNA testing platforms and their role as companion diagnostics: correlation with clinical outcomes to EGFR-TKIs. Cancer Lett 403:186–194. https://doi.org/10.1016/j.canlet.2017.06.008

Article  CAS  PubMed  Google Scholar 

Lastraioli E, Bencini L, Bianchini E et al (2012) hERG1 channels and Glut-1 as independent prognostic indicators of worse outcome in stage I and II colorectal cancer: a pilot study. Transl Oncol 5(2):105–112. https://doi.org/10.1593/tlo.11250

Article  PubMed  PubMed Central  Google Scholar 

Gu B, Liu S, Sun Y et al (2019) Predictive value of [18F]ML-10 PET/CT in early response evaluation of combination radiotherapy with cetuximab on nasopharyngeal carcinoma. Mol Imaging Biol 21(3):538–548. https://doi.org/10.1007/s11307-018-1277-9

Article  CAS  PubMed  Google Scholar 

Igde MH, Ozturk A, Oruc O, Oztas S, Kavas M (2022) The relationship of PET/CT SUVmax with EGFR mutation status and ALK rearrangement in lung adenocarcinoma. Hell J Nucl Med 25(2):188–195. https://doi.org/10.1967/s002449912486

Article  PubMed  Google Scholar 

Fei Z, Xu T, Hong H et al (2023) PET/CT standardized uptake value and EGFR expression predicts treatment failure in nasopharyngeal carcinoma. Radiat Oncol 18(1):33. https://doi.org/10.1186/s13014-023-02231-6

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gan T, An W, Long Y, Wang J, Zhang H, Liao M (2024) Correlation between carcinoembryonic antigen (CEA) expression and EGFR mutations in non-small-cell lung cancer: a meta-analysis. Clin Transl Oncol 26(4):991–1000. https://doi.org/10.1007/s12094-023-03339-7

Article  CAS  PubMed  Google Scholar 

Liu Y, Li Z, Meng Q et al (2024) Identification of the consistently differential expressed hub mRNAs and proteins in lung adenocarcinoma and construction of the prognostic signature: a multidimensional analysis. Int J Surg 110(2):1052–1067. https://doi.org/10.1097/JS9.0000000000000943

Article  PubMed  Google Scholar 

Liu WJ, Wang L, Zhou FM et al (2023) Elevated NOX4 promotes tumorigenesis and acquired EGFR-TKIs resistance via enhancing IL-8/PD-L1 signaling in NSCLC. Drug Resist Updat 70:100987. https://doi.org/10.1016/j.drup.2023.100987

Article  CAS  PubMed  Google Scholar 

Chen L, Zhou Y, Tang X et al (2019) EGFR mutation decreases FDG uptake in non-small cell lung cancer via the NOX4/ROS/GLUT1 axis. Int J Oncol 54(1):370–380. https://doi.org/10.3892/ijo.2018.4626

Article  CAS  PubMed  Google Scholar 

Guan J, Xiao NJ, Chen M et al (2016) 18F-FDG uptake for prediction EGFR mutation status in non-small cell lung cancer. Medicine (Baltimore) 95(30):e4421. https://doi.org/10.1097/MD.0000000000004421

Article  CAS  PubMed  Google Scholar 

Wang Y, Han R, Wang Q et al (2021) Biological significance of 18F-FDG PET/CT maximum standard uptake value for predicting EGFR mutation status in non-small cell lung cancer patients. Int J Gen Med 14:347–356. https://doi.org/10.2147/IJGM.S287506

Article  PubMed  PubMed Central  Google Scholar 

Whi W, Ha S, Bae S et al (2020) Relationship of EGFR mutation to glucose metabolic activity and asphericity of metabolic tumor volume in lung adenocarcinoma. Nucl Med Mol Imaging 54(4):175–182. https://doi.org/10.1007/s13139-020-00646-7

Article  CAS  PubMed  PubMed Central  Google Scholar 

Usuda K, Sagawa M, Motono N et al (2014) Relationships between EGFR mutation status of lung cancer and preoperative factors - are they predictive? Asian Pac J Cancer Prev 15(2):657–662. https://doi.org/10.7314/apjcp.2014.15.2.657

Article  PubMed  Google Scholar 

Huang CT, Yen RF, Cheng MF et al (2010) Correlation of F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value and EGFR mutations in advanced lung adenocarcinoma. Med Oncol 27(1):9–15. https://doi.org/10.1007/s12032-008-9160-1

Article  CAS  PubMed  Google Scholar 

Yang X, Dong X, Wang J et al (2019) Computed tomography-based radiomics signature: a potential indicator of epidermal growth factor receptor mutation in pulmonary adenocarcinoma appearing as a subsolid nodule. Oncologist 24(11):e1156–e1164. https://doi.org/10.1634/theoncologist.2018-0706

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang G, Cao Y, Zhang J et al (2021) Predicting EGFR mutation status in lung adenocarcinoma: development and validation of a computed tomography-based radiomics signature. Am J Cancer Res 11(2):546–560

CAS  PubMed  PubMed Central  Google Scholar 

Li J, Shi Q, Yang Y et al (2025) Prediction of EGFR mutations in non-small cell lung cancer: a nomogram based on 18F-FDG PET and thin-section CT radiomics with machine learning. Front Oncol 15:1510386. https://doi.org/10.3389/fonc.2025.1510386

Article  PubMed  PubMed Central  Google Scholar 

Yin G, Wang Z, Song Y et al (2021) Prediction of EGFR mutation status based on 18F-FDG PET/CT imaging using deep learning-based model in lung adenocarcinoma. Front Oncol 11:709137. https://doi.org/10.3389/fonc.2021.709137

Article  CAS  PubMed