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Cited by 190

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Emerging Treatment Paradigms for EGFR-Mutant Lung Cancers Progressing on Osimertinib: A Review

Piper-Vallillo, Andrew J., Sequist, Lecia V., Piotrowska, Zofia·2020·Journal of Clinical Oncology

Abstract

Since its approval in April 2018, osimertinib has been widely adopted as first-line therapy for patients with advanced EGFR-mutant non -small cell lung cancer (NSCLC). Understanding osimertinib resistance mechanisms and currently available treatment options are essential to selecting optimal second line therapy for patients whose disease progresses during front-line osimertinib. Using data compiled from 6 osimertinib-resistance series, we describe here the heterogeneous profile of EGFR-dependent and independent mechanisms of osimertinib treatment failure. We identified MET alterations (7%-24%), EGFR C797X (0%-29%), SCLC transformation (2%-15%), and oncogene fusions (1%-10%) as the most common mechanisms of resistance. This review provides an evidence-based, algorithmic approach to the evaluation and management of post-osimertinib progression as well as a compendium of active, enrolling clinical trials for this population.

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Metadata

Authors
Piper-Vallillo, A. J., Sequist, L. V., & Piotrowska, Z.
Venue
Journal of Clinical Oncology
Published
2020-09-01
Volume
38
Issue
25
Pages
2926-2936
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W3035955877
Cited by
190
References
29
FWCI
15.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Emerging Treatment Paradigms for EGFR-Mutant Lung Cancers Progressing on Osimertinib: A Review. https://app.cochat.ai/papers/10.1200/jco.19.03123
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Piper-Vallillo, A. J., Sequist, L. V., & Piotrowska, Z. (2020). Emerging Treatment Paradigms for EGFR-Mutant Lung Cancers Progressing on Osimertinib: A Review. Journal of Clinical Oncology. https://doi.org/10.1200/jco.19.03123

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.