Antibody–Drug Conjugates: A New Addition to the Treatment Landscape of EGFR-Mutant Non–Small Cell Lung Cancer

2022 ◽  
Vol 82 (1) ◽  
pp. 18-20
Author(s):  
Sun Min Lim ◽  
Chang Gon Kim ◽  
Byoung Chul Cho
Author(s):  
Jennifer W. Carlisle ◽  
R. Donald Harvey

The number of therapeutic options available for patients with advanced non–small-cell lung cancer has been led by deeper understanding of molecular drivers, immune function, and fundamental biology. In this article, we describe the relevant clinical pharmacologic characteristics of three broad classes of existing and investigational treatments, with a focus on mechanisms of action, adverse event profiles, pharmacokinetic and pharmacodynamic properties, and known and predicted resistance pathways. Specifically, within the kinase inhibitor class, agents directed against the RET, MET, and KRAS pathways are reviewed. Additionally, the first antibody-drug conjugates that target HER2 and HER3 are in trials and will ideally be available for patients soon. Finally, proteolysis-targeting chimeras approach pathway inhibition through enzyme degradation rather than target inhibition and are a promising platform for new agents in non–small-cell lung cancer and across cancer types. Each of these classes requires knowledge of clinical pharmacologic principles in development and use to ensure patient care in clinics and trials is optimized and personalized, including dosing and scheduling strategies, potential drug interactions, use in special populations, and monitoring parameters. Ideally, oncologists will continue to have new agents available across the non–small-cell lung cancer treatment spectrum to offer to a patient group that, until relatively recently, had few options.


2020 ◽  
Vol 17 (11) ◽  
pp. 4270-4279
Author(s):  
Andrew L. Lakes ◽  
Dahlia D. An ◽  
Stacey S. Gauny ◽  
Camille Ansoborlo ◽  
Benjamin H. Liang ◽  
...  

Oncotarget ◽  
2020 ◽  
Vol 11 (39) ◽  
pp. 3590-3600
Author(s):  
Takuma Yotsumoto ◽  
Keita Maemura ◽  
Kousuke Watanabe ◽  
Yosuke Amano ◽  
Yoko Matsumoto ◽  
...  

2021 ◽  
Vol 14 (2) ◽  
pp. 100961
Author(s):  
Fushun Fan ◽  
Minhua Zhou ◽  
Xiaolan Ye ◽  
Zhenxian Mo ◽  
Yaru Ma ◽  
...  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhiyu Peng ◽  
Huahang Lin ◽  
Ke Zhou ◽  
Senyi Deng ◽  
Jiandong Mei

Abstract Objective To investigate the predictive value of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer (NSCLC) patients treated with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Methods We conducted a systemic search of PubMed, EMBASE, and the Cochrane Library from 1 January 2000 to 30 August 2020, to identify related studies. We combined the hazard ratio (HR) and 95% confidence interval (CI) to assess the correlation of PD-L1 expression with progression-free survival (PFS) and overall survival (OS). We assessed the quality of the included studies by the Newcastle–Ottawa Scale (NOS). We performed subgroup analyses based on immunohistochemistry (IHC) scoring system, IHC antibodies, sample size, countries, and survival analysis mode. Sensitivity analysis and evaluation of publication bias were also performed. Results Twelve studies including 991 patients met the criteria. The mean NOS score was 7.42 ± 1.19. Patients with high PD-L1 expression was associated with poorer PFS (HR = 1.90; 95% CI = 1.16–3.10; P = 0.011), while there was no association between PD-L1 expression and OS (HR = 1.19; 95% CI = 0.99–1.43; P = 0.070). Subgroup analysis prompted IHC scoring systems, IHC antibodies, and sample size have important effects on heterogeneity. The pooled results were robust according to the sensitivity analysis. Conclusions The result of this meta-analysis suggested that PD-L1 expression might be a predictive biomarker for EGFR-mutant non-small cell lung cancer treated with EGFR-TKIs.


2021 ◽  
Vol 77 (18) ◽  
pp. 3288
Author(s):  
Ariel Peleg ◽  
Ishmam Ibtida ◽  
Jennifer Liu ◽  
Richard Steingart ◽  
Anthony Yu

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