Epidermal growth factor receptor tyrosine kinase inhibitors therapy, such as gefitinib, have proven to be effective for lung adenocarcinoma with epidermal growth factor receptor-sensitive mutations.
Association between programmed death-ligand 1 expression, immune microenvironments, and clinical outcomes in epidermal growth factor receptor mutant lung adenocarcinoma patients treated with tyrosine kinase inhibitors.
The mutational landscape in lung adenocarcinoma (LADC) is broadly recognized, particularly regarding the presence of the epidermal growth factor receptor (EGFR) mutation in non-smokers.
We present a case of a 78-year-old man who was diagnosed with stage IV non-small cell lung adenocarcinoma with an EGFR exon 20 mutations treated with pemetrexed, nivolumab, and then docetaxel.
For patients with EGFR-mutation-positive lung adenocarcinoma associated with paraneoplastic membranous nephropathy, erlotinib might serve as a treatment option for both the tumour and the membranous nephropathy.
The model was prognostically significant in stratified cohorts, including stage I-II, stage III-IV and epidermal growth factor receptor (EGFR) mutant subsets, and was considered to be an independent prognostic factor for LUAD.
However, epidermal growth factor receptor (EGFR)‑tyrosine kinase inhibitor (TKI) resistance is a major challenge in the treatment of advanced and recurrent EGFR‑mutant lung adenocarcinoma.
In conclusion, our data describe an essential role for mPRα in improving sensitivity to EGFR-TKIs, thus rationalizing its potential as a therapeutic target for lung adenocarcinomas.
Intense Expression of EGFRL858R Characterizes the Micropapillary Component and L858R Is Associated with the Risk of Recurrence in pN0M0 Lung Adenocarcinoma with the Micropapillary Component.
The introduction of liquid biopsy using PCR-based assays into routine practice has had a strong impact on the treatment of EGFR-mutated lung adenocarcinoma and is now commonly used for routine testing of EGFR mutations in certain clinical settings.
The concordance rate demonstrated the feasibility of EGFR mutations in corresponding metastases using Amplification Refractory Mutation System when the primary tumor tissue is unavailable in the lung adenocarcinoma patients, and the inconsistency indicates that corresponding metastasis being screened simultaneously with the primary tumor samples may present some supplementary information for the patients.
Compared with chemotherapy, use of the 1st generation of EGFR-TKIs as first-line therapy can improve the short-term efficacy of patients with EGFR uncommon mutations advanced lung adenocarcinoma, but platinum-based chemotherapy showed a longer overall survival.
This study aimed to detect EGFR gene mutations using next-generation sequencing (NGS) from different types of body fluids from patients with lung adenocarcinoma.
Re-biopsy and large panel NGS revealed an EGFR mutant lung adenocarcinoma with alternating changes in acquired resistance between EGFR and ALK.The total survival time was 73 months.
Then, the single cells of patients with lung adenocarcinoma receiving gefitinib were captured by laser capture microdissection and analyzed by the above methods to identify the intratumoral heterogeneity of the EGFRL858R mutant.
The proposed deep learning system predicts EGFR-mutant of lung adenocarcinomas in CT images noninvasively and automatically, indicating its potential to help clinical decision-making by identifying eligible patients of pulmonary adenocarcinoma for EGFR-targeted therapy.
The analysis of p22<sup>phox</sup> in lung carcinoma tissues could provide new insights into the selection of chemotherapy for the patients with EGFR-TKI resistant LUAD.