Cited by 38Lung Cancer Treatments and MutationsHER2/EGFR in Cancer ResearchLung Cancer Diagnosis and Treatment

Continuing EGFR inhibition beyond progression in advanced non-small cell lung cancer

Yap, Timothy A., Macklin-Doherty, Aislinn, Popat, Sanjay·2017·European Journal of Cancer

Abstract

The majority of patients with epidermal growth factor receptor (EGFR) mutant non-small cell lung cancer (NSCLC) respond to first-line EGFR tyrosine kinase inhibitors (TKIs), but nearly all inevitably acquire resistance and develop disease progression. Conventional practice would be to switch treatments to second-line therapy. However, continuing TKIs beyond progression is becoming increasingly commonplace in patients with indolent, small volume asymptomatic growth, who may potentially continue to derive ongoing clinical benefit and to avoid a 'withdrawal tumour flare'. Nevertheless, there are limitations to our current criteria for assessing disease response, which are based on radiological assessments without considering symptomatic benefit, or the complex molecular and clinical heterogeneity of tumour growth and drug response patterns. In this article, we review the rationale for continuing EGFR inhibitors in patients with EGFR mutant NSCLC beyond disease progression and discuss strategies that have been pursued in the context of molecularly and clinically heterogeneous populations of tumour growth depending on the different clinical scenarios encountered. We discuss the management of systemic disease progression, including continuing EGFR TKIs alone, introducing a drug holiday, or combining TKIs with chemotherapy or other molecularly targeted agents. We also focus on approaches in managing patients with indolent, small volume asymptomatic growth (non-CNS oligometastatic disease progression) and those with oligometastatic EGFR mutant NSCLC with involvement of the central nervous system. We envision future precision medicine strategies through the use of next generation sequencing strategies of serial tumour rebiopsies and circulating plasma DNA to individualise the management for such patients during disease progression.

Integrity signals

Registry

Crossref · 10.1016/j.ejca.2016.10.014

Cites

84 of 84 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

2 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Yap, T. A., Macklin-Doherty, A., & Popat, S.
Affiliations
  • Institute of Cancer Research (GB)
  • Royal Marsden Hospital (GB)
Corresponding author
Popat, Sanjay
Venue
European Journal of Cancer
Publisher
Elsevier BV
Published
2017-01
Volume
70
Pages
12-21
ISSN
0959-8049 (ISSN-L)
OpenAlex
W2554087867
Cited by
38
References
84
Citations by year
2026: 1 · 2025: 1 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 3 · 2019: 6 · 2018: 6 · 2017: 8
FWCI
1.16
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Cancer (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • NIHR Biomedical Research Centre at The Royal Marsden
  • ICR
  • Academy of Medical Sciences
  • British Lung Foundation
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
Keywords
EGFR-mutant non-small cell lung cancer, EGFR tyrosine kinase inhibitors, disease progression, drug holidays, oligometastatic disease, central nervous system metastasis, liquid biopsy, precision medicine
MeSH terms
Antineoplastic Agents, Carcinoma, Non-Small-Cell Lung, Humans, Lung Neoplasms, Disease Progression, Drug Resistance, Neoplasm, Protein Kinase Inhibitors, Molecular Targeted Therapy, ErbB Receptors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review