- In 2018, durvalumab was approved by the U.S. Food and Drug Administration as consolidation immunotherapy for patients with stage III NSCLC after definitive chemoradiotherapy (CRT). However, whether durvalumab benefits patients with EGFR-mutated NSCLC remains unknown.
- Histologic transformation from NSCLC to SCLC is a mechanism of resistance in EGFR-mutant tumors but is also occasionally observed in nonmutated NSCLC.
- Traditionally, marked tumor shrinkage has been assumed to portend better outcome. We investigated whether depth of tumor response was associated with improved survival outcomes in advanced EGFR-mutant NCLC.
- Osimertinib, a third-generation EGFR tyrosine kinase inhibitor has demonstrated efficacy in tumors harboring the EGFR T790M resistance mutation. Inevitably, resistance to third-generation inhibitors results in disease progression, with the EGFR C797S mutation being one of several resistance pathways identified to date. On the basis of preclinical data, we report what is the first known case of a patient harboring the T790M and C797S mutations in trans treated with combination gefitinib and osimertinib.
- We performed a meta-analysis to assess the role of immune checkpoint inhibitors as second-line therapy in EGFR-mutant advanced NSCLC.
- Sorafenib monotherapy has shown benefits in phase II trials as third-/fourth-line treatment in patients with non-small-cell lung cancer (NSCLC).
- The purpose of this study was to evaluate the predictive role of quantitative metabolic parameters using total lesion glycolysis (TLG) in 18F-2-fluoro-2-deoxyglucose-positron emission tomography/computed tomography for developing gefitinib resistance in epidermal growth factor receptor (EGFR)-mutant non–small-cell lung cancer (NSCLC) patients treated with first-line gefitinib.
- Although classic sensitizing mutations of epidermal growth factor receptor (EGFR) are positive predictive markers for EGFR tyrosine kinase inhibitors (TKIs) in lung adenocarcinoma, there are rare EGFR mutations with unknown epidemiology and influence on prognosis and TKI response.