Cited by 205Lung Cancer Treatments and MutationsLung Cancer Diagnosis and TreatmentHER2/EGFR in Cancer Research

Influence of Chemotherapy on EGFR Mutation Status Among Patients With Non–Small-Cell Lung Cancer

Open access
Bai, Hua, Wang, Zhijie, Chen, Keneng, Zhao, Jun, Lee, J. Jack, Wang, Shuhang, Zhou, Qinghua, Zhuo, Minglei +9 more·2012·Journal of Clinical Oncology

Abstract

PURPOSE: EGFR mutation is a predictor of epidermal growth factor receptor-tyrosine kinase inhibitor treatment response in patients with non-small-cell lung cancer (NSCLC). However, it remains unclear whether chemotherapy affects EGFR mutation status in NSCLC. We investigated the influence of chemotherapy on EGFR mutations in plasma and tumor tissues from patients with NSCLC. PATIENTS AND METHODS: Samples were derived from three cohorts: one, 264 patients with advanced NSCLC who received first-line chemotherapy with matched pre- and postchemotherapy blood samples; two, 63 patients with stages IIb to IIIb disease with pre- and post-neoadjuvant chemotherapy tumor tissues; and three, 79 patients with advanced NSCLC who underwent palliative surgery. EGFR mutation status was determined and analyzed to reveal potential impact of chemotherapy. RESULTS: In the first cohort, EGFR mutations were detected in 34.5% of the prechemotherapy plasma samples (91 of 264) but in only 23.1% of the postchemotherapy plasma samples (61 of 264). The decrease in EGFR mutation rate was statistically significant (P < .001). Patients whose EGFR mutations switched from positive to negative after chemotherapy had a better partial response (PR) than patients with a reverse change (P = .037). A similar decrease in EGFR mutation rate was observed in tissues after neoadjuvant chemotherapy in the second cohort (34.9% [22 of 63] v 19.0% [12 of 63]; P = .013). In the third cohort, 38.0% of the tumors (30 of 79) showed an intratumor heterogeneity of EGFR mutation, whereas 62.0% (49 of 79) were homogeneous, either with EGFR mutation or no mutation. CONCLUSION: Our results suggest that chemotherapy may reduce EGFR mutation frequency in patients with NSCLC, likely the result of a preferential response of subclones with EGFR mutations in tumors with heterogeneous tumor cell populations.

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.2011.39.3744

Cites

40 of 40 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?

  • Chemotherapy may selectively kill and inhibit mutant clones within the tumor, whereas wild type clones may proliferate, altering the relative proportion of EGFR-mutated/EGFR-wild type cells within the tumor mass.

    “Chemotherapy may selectively kill and inhibit mutant clones within the tumor, whereas wild type clones may proliferate, altering the relative proportion of EGFR-mutated/EGFR-wild type cells within the tumor mass.”

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

Cited by

Sorted by citations

Authors
Bai, H., Wang, Z., Chen, K., Zhao, J., Lee, J. J., Wang, S., Zhou, Q., Zhuo, M., Mao, L., An, T., Duan, J., Yang, L., Wu, M., Liang, Z., Wang, Y., Kang, X., & Wang, J.
Affiliations
  • The University of Texas MD Anderson Cancer Center (US)
  • Hua Bai, Zhijie Wang, Keneng Chen, Jun Zhao, Shuhang Wang, Minglei Zhuo, Tongtong An, Jianchun Duan, Lu Yang, Meina Wu, Zhen Liang, Yuyan Wang, Xiaozheng Kang, and Jie Wang, Peking University Cancer Hospital and Institute, Beijing; Qinghua Zhou, Tianjin Medical University General Hospital, Tianjin, China; J. Jack Lee, The University of Texas MD Anderson Cancer Center, Houston, TX; and Li Mao, University of Maryland School of Dentistry, Baltimore, MD.
Venue
Journal of Clinical Oncology
Published
2012-09-01
Volume
30
Issue
25
Pages
3077-3083
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2121641332
Cited by
199
References
40
Citations by year
2026: 1 · 2025: 5 · 2024: 11 · 2023: 1 · 2022: 11 · 2021: 6 · 2020: 3 · 2019: 8 · 2018: 20 · 2017: 22 · 2016: 21 · 2015: 23 · 2014: 33 · 2013: 33 · 2012: 1
FWCI
23.22
Type
journal article
Language
en
Open access
Locations
  • Journal of Clinical Oncology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
  • Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
Keywords
EGFR mutation, non-small cell lung cancer, chemotherapy, plasma biomarkers, neoadjuvant chemotherapy, intratumoral heterogeneity, EGFR tyrosine kinase inhibitors, tumor subclones, treatment response
MeSH terms
Aged, Antineoplastic Combined Chemotherapy Protocols, Carcinoma, Non-Small-Cell Lung, China, DNA, Neoplasm, Female, Humans, Lung Neoplasms, Male, Middle Aged, Mutation, Neoplasm Staging, Palliative Care, Phenotype, Risk Factors, Time Factors, Cohort Studies, Gene Expression Regulation, Enzymologic, Gene Expression Regulation, Neoplastic, Chi-Square Distribution, Treatment Outcome, Chemotherapy, Adjuvant, Risk Assessment, Genetic Predisposition to Disease, Neoadjuvant Therapy, 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