Cited by 480Lung Cancer Treatments and MutationsHER2/EGFR in Cancer ResearchLung Cancer Diagnosis and Treatment

Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor–Resistant Disease

Open access
Ohashi, Kadoaki, Maruvka, Yosef E., Michor, Franziska, Pao, William·2013·Journal of Clinical Oncology

Abstract

Purpose: EGFR-mutant lung cancer was first described as a new clinical entity in 2004. Here, we present an update on new controversies and conclusions regarding the disease. Methods: This article reviews the clinical implications of EGFR mutations in lung cancer with a focus on epidermal growth factor receptor tyrosine kinase inhibitor resistance. Results: The discovery of EGFR mutations has altered the ways in which we consider and treat non–small-cell lung cancer (NSCLC). Patients whose metastatic tumors harbor EGFR mutations are expected to live longer than 2 years, more than double the previous survival rates for lung cancer. Conclusion: The information presented in this review can guide practitioners and help them inform their patients about EGFR mutations and their impact on the treatment of NSCLC. Efforts should now concentrate on making EGFR-mutant lung cancer a chronic rather than fatal disease.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1200/jco.2012.43.3912

Cites

128 of 131 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [42]Woodcock J. AstraZeneca Pharmaceuticals LP: Withdrawal of approval of a new drug Application for IRESSA. Federal Register. 2012;77:24723–24724. [Google Scholar]

Cited by

Sorted by citations

Authors
Ohashi, K., Maruvka, Y. E., Michor, F., & Pao, W.
Affiliations
  • Harvard University (US)
  • Kadoaki Ohashi and William Pao, Vanderbilt University School of Medicine, Nashville, TN; and Yosef E. Maruvka and Franziska Michor, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA.
Venue
Journal of Clinical Oncology
Published
2013-03-10
Volume
31
Issue
8
Pages
1070-1080
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2081801534
Cited by
467
References
128
Citations by year
2026: 9 · 2025: 15 · 2024: 13 · 2023: 19 · 2022: 28 · 2021: 23 · 2020: 31 · 2019: 34 · 2018: 42 · 2017: 58 · 2016: 44 · 2015: 66 · 2014: 54 · 2013: 30
FWCI
10.14
Type
journal article
Language
en
Open access
Locations
  • Journal of Clinical Oncology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (CA68485, CA129243, CA143798)
  • National Cancer Institute (P30 CA 68485, R01CA121210, P01CA129243, CA68485, CA129243, U54CA143798, CA143798, P30CA068485)
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 mutation, non-small cell lung cancer, EGFR tyrosine kinase inhibitors, drug resistance, metastatic lung cancer, survival outcomes, targeted therapy
MeSH terms
Antineoplastic Agents, Carcinoma, Non-Small-Cell Lung, Chronic Disease, Humans, Lung Neoplasms, Mutation, Disease Progression, Disease-Free Survival, Drug Resistance, Neoplasm, Protein Kinase Inhibitors, 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